Startseite Linguistik & Semiotik Teaching Italian Vocabulary to Arabic Speaking Children Based on Total Physical Response and Game-Based Learning Approaches
Artikel Open Access

Teaching Italian Vocabulary to Arabic Speaking Children Based on Total Physical Response and Game-Based Learning Approaches

  • Dua Faouri , Aseel Zibin EMAIL logo und Abdel Rahman Mitib Altakhaineh ORCID logo
Veröffentlicht/Copyright: 24. September 2025

Abstract

The study examines the effectiveness of Total Physical Response (TPR) and Game Based Learning (GBL) compared to traditional instruction in teaching Italian vocabulary to Arabic-speaking EFL children, learners of Italian as a third language, based on Krashen’s Affective Filter Hypothesis (AFH). The study follows a quantitative quasi-experimental comparative design with pre- and post-tests including twenty-four Italian words that refer to twelve body parts and twelve related actions for a period of six weeks. Vocabulary knowledge was assessed based on four criteria: pronunciation, listening, contextual knowledge, and interrelatedness. The findings showed that the differences between the participants’ answers on the post-test in the two experimental groups (i. e., TPR and GBL) and the control group were statistically significant in favor of the former. It was found that GBL and TPR foster an engaging and enjoyable learning environment, which is believed to enhance motivation and decrease foreign language anxiety. Although the control group did not employ specific strategies to lower the affective filter, they still demonstrated significant improvement from the pre-test to the post-test. This improvement suggests that factors such as general motivation and a positive learning environment can positively influence learning outcomes. However, the differences between the participants’ answers on the posttest in the two experimental groups were not statistically significant. It was argued that AFH cannot be used to explain the differences and unique effectiveness of teaching approaches when compared to each other.

Sintesi

Lo studio esamina l’efficacia della Total Physical Response (TPR) e del Game-Based Learning (GBL) rispetto all’istruzione tradizionale nell’insegnamento del vocabolario italiano a bambini arabofoni apprendenti di inglese come lingua straniera (EFL), studenti di italiano come terza lingua, basandosi sull’ipotesi del filtro affettivo (AFH) di Krashen. È stato adottato un disegno quasi-sperimentale di tipo quantitativo con pre-test e post-test, che ha previsto l’insegnamento di ventiquattro parole italiane relative a dodici parti del corpo e a dodici azioni correlate, nell’arco di sei settimane. La conoscenza del vocabolario è stata valutata secondo quattro criteri: pronuncia, comprensione orale, conoscenza contestuale e interrelazione. I risultati hanno mostrato differenze statisticamente significative tra le prestazioni dei partecipanti al post-test nei due gruppi sperimentali (TPR e GBL) e quelle del gruppo di controllo, a favore dei primi. È emerso che GBL e TPR favoriscono un ambiente di apprendimento coinvolgente e piacevole, in grado di accrescere la motivazione e ridurre l’ansia legata all’acquisizione di lingue straniere. Sebbene il gruppo di controllo non abbia adottato strategie specifiche per abbassare il filtro affettivo, esso ha comunque evidenziato un miglioramento significativo tra pre-test e post-test. Tale miglioramento suggerisce che fattori quali la motivazione generale e un contesto di apprendimento positivo possono incidere positivamente sui risultati. Tuttavia, le differenze tra i due gruppi sperimentali al post-test non sono risultate statisticamente significative. Si conclude pertanto che l’AFH non possa essere considerata sufficiente a spiegare le differenze né l’efficacia specifica degli approcci didattici quando messi a confronto.

Résumé

L’étude examine l’efficacité de la Réponse Physique Totale (TPR) et de l’Apprentissage par le Jeu (GBL) par rapport à l’enseignement traditionnel dans l’apprentissage du vocabulaire italien auprès d’enfants arabophones EFL, apprenant l’italien comme troisième langue, en se basant sur l’hypothèse du filtre affectif (AFH) de Krashen. L’étude suit un modèle comparatif quasi expérimental quantitatif avec des pré-tests et des post-tests incluant vingt-quatre mots italiens qui se réfèrent à douze parties du corps et douze actions connexes pendant une période de six semaines. La connaissance du vocabulaire a été évaluée sur la base de quatre critères : la prononciation, l’écoute, la connaissance contextuelle et l’interrelation. Les résultats ont montré que les différences entre les réponses des participants au post-test dans les deux groupes expérimentaux (c’est-à-dire TPR et GBL) et le groupe témoin étaient statistiquement significatives en faveur des premiers. Il a été constaté que le GBL et le TPR favorisent un environnement d’apprentissage engageant et agréable, ce qui est censé améliorer la motivation et diminuer l’anxiété liée aux langues étrangères. Bien que le groupe témoin n’ait pas employé de stratégies spécifiques pour abaisser le filtre affectif, il a tout de même démontré une amélioration significative entre le pré-test et le post-test. Cette amélioration suggère que des facteurs tels que la motivation générale et un environnement d’apprentissage positif peuvent influencer positivement les résultats de l’apprentissage. Cependant, les différences entre les réponses des participants au post-test dans les deux groupes expérimentaux n’étaient pas statistiquement significatives. Il a été avancé que l’AFH ne peut pas être utilisée pour expliquer les différences et l’efficacité unique des approches pédagogiques lorsqu’elles sont comparées entre elles.

1 Introduction

Learners’ age impacts language teaching, with research showing that young children acquire languages more effectively than adults, especially through social exposure (Johnson and Newport 1989; Werker and Byers-Heinlein 2008). However, teaching young children can be challenging due to short attention spans and potential resistance to methods that do not meet their developmental needs. Supportive environments that foster engagement are crucial, as noted by Pitriana and Syahrudin (2013), who emphasize using diverse media and activities in language classes to make learning enjoyable. Effective vocabulary acquisition is essential for mastering reading, writing, listening, and speaking skills (Nam 2010; Syafrizal and Haerudin 2018). Young learners often face vocabulary gaps in their second language (L2), leading to lexical transfer from their mother tongue (Lorenz et al. 2021). In this study, children speak Arabic (Jordanian) and English, with English widely taught from preschool (Miao 2015). They learn Italian starting in first grade for only two hours per week, resulting in limited exposure. This research explores the challenges faced by these young learners and potential improvements.

The study investigates the use of interactive methods like Total Physical Response (TPR) and Game-Based Learning (GBL) to enhance Italian vocabulary instruction for young Arabic-speaking learners. Previous studies (AL-Tkhayneh et al. 2024) highlight the benefits of engaging activities on student interest in language learning. This comparative study aims to evaluate the effectiveness of these approaches based on vocabulary knowledge criteria and provide data for innovative teaching in multilingual contexts. The research addresses the following questions:

  1. How does GBL influence Arabic-speaking first graders’ acquisition of Italian vocabulary?

    1. To what extent does GBL affect their word knowledge?

    2. Does GBL impact the development of specific vocabulary acquisition skills?

  2. How does TPR influence Arabic-speaking first graders’ acquisition of Italian vocabulary?

    1. To what extent does TPR affect their word knowledge?

    2. Does TPR impact the development of specific vocabulary acquisition skills?

  3. How does learning Italian vocabulary through these approaches affect children’s post-test performance in light of AFH?

2 The Theoretical Framework

2.1 The Affective Filter Hypothesis

The theoretical framework for this study is based on the Affective Filter Hypothesis (AFH), proposed by Dulay and Burt in 1977 and later incorporated into Krashen’s Second Language Acquisition Theory (Krashen 1982). Krashen’s theory includes the Acquisition-Learning, Monitor, Natural Order, Input, and Affective Filter Hypotheses. The AFH is particularly relevant as it explores factors affecting language learning effectiveness (Krashen 1982). This paper categorizes Italian as a “third” language in Jordan, where it is neither socially used nor taught in schools. Understanding third language acquisition through Second Language Acquisition (SLA) theories is essential due to similar core processes across languages.

SLA theories emphasize cognitive, emotional, and social factors influencing language learning. Motivation, self-confidence, and anxiety significantly impact third language acquisition. While linguistic contexts may differ, fundamental processes like vocabulary and grammar absorption, comprehensible input, and managing affective filters remain relevant.

The other four hypotheses in Krashen’s theory are less relevant to this study: the Acquisition-Learning and Input Hypotheses focus on acquisition processes; the Monitor Hypothesis addresses language acquisition versus learning; and the Natural Order Hypothesis emphasizes grammar over vocabulary.

The AFH posits that motivation, self-confidence, and anxiety act as filters affecting the linguistic input a learner can absorb, impacting second and third language acquisition (Krashen 1982). These factors can either facilitate or hinder learning. Gass (2013) notes their significant effect on the Language Acquisition Device (LAD). Horwitz (2010) describes language anxiety as complex, akin to other performance-related anxieties. Krashen (1982) asserts effective language acquisition occurs when the LAD processes input successfully, aided by high motivation and self-confidence, while increased anxiety can hinder this process. Al Khalili (2018) supports this, indicating that motivated learners enhance the LAD’s efficiency, whereas high anxiety disrupts it. Zen and Apriana (2015) illustrate that children’s language acquisition through environmental exposure is improved by positive attitudes, aligning with Krashen’s hypothesis.

The next section will review studies on the AFH, Game-Based Learning (GBL), and Total Physical Response (TPR).

3 Previous studies

Based on the AFH, Stoimcheva-Kolarska (2020) examined the impact of learning a foreign language in a fun and relaxed environment on children’s outcomes. She compared two groups of 32 Russian kindergarteners aged 5–6 years who were taught English traditionally through worksheets and games. The experimental group achieved significantly higher results due to their enjoyable learning experience. Additionally, Er (2015) investigated anxiety levels in ESL classes among 544 Turkish students of different ages, noting that anxiety increases with students’ foreign language learning. She recommended that teachers adopt a positive attitude to facilitate language learning. Du (2009) highlighted that AFH helps teachers modify their strategies to support successful language acquisition. Similarly, Lin (2008) recommended incorporating emotional elements in classrooms to create a positive learning environment.

Wang (2020) emphasized the importance of using AFH in Chinese middle school English classes to create a peaceful environment, boost students’ confidence and motivation, and reduce anxiety, resulting in effective vocabulary learning among 121 thirteen-year-old students. As leaders of the learning process, teachers are responsible for lowering the affective filter. They can adapt their approaches to meet students’ needs, implement engaging activities, set up extracurricular opportunities, use modern teaching aids, and foster friendly relationships with students. Osterman (2000) noted that students who feel accepted have higher motivation and engagement, leading to improved performance. Conteh-Morgan (2002: 193) stated that the educational setting should be relieving and that the affective filter must drop when learners enter the classroom. She emphasized the need for a friendly and welcoming atmosphere. Mower (2018) argued that teachers should befriend students and help build positive relationships to create a comfortable learning environment.

Ismail and Ong’onda (2021) studied the influence of teachers’ affective filters on foreign language teaching efficiency by interviewing 54 Kenyan primary school English teachers. They found that teachers with high self-esteem, positive attitudes, and low anxiety are more effective, leading to better student learning. Motivated teachers positively influence their students and inspire a positive attitude toward the language. Conversely, Lim (2020) noted that lowering the affective filter is a shared responsibility between students and teachers. He clarified that students should come prepared for classes to foster a sense of competence. The researcher selected AFH as a theoretical framework for its relevance in guiding foreign language teaching and learning processes (Sun 2020; Khalifa 2020; Lightbown and Spada 2021; Soyoof et al. 2021).

Sukartiningsih and Priyantin (2010) stated that children have short concentration spans. Based on this, Pivnicki and Palinkasevic (2016) suggested that language classes for children should be dynamic and filled with interactive activities to help maintain focus. McCarthy (2019) discussed the importance of lowering the affective filter and provided guidelines such as decreasing self-consciousness, encouraging learner contributions, and stimulating movement. This study aims to examine the effectiveness of two pedagogical approaches, GBL and TPR, in lowering young learners’ affective filters and enhancing their foreign language vocabulary learning. GBL and TPR are compared to each other and to conventional pedagogy based on young learners’ vocabulary knowledge in a third language. The following sections will discuss GBL and TPR, explaining their fundamental principles and application procedures.

3.1 Game-Based Learning (GBL)

GBL is a learning strategy where games are designed to stimulate learning with defined outcomes (Shaffer et al. 2005). Games are engaging, making them convenient for language teaching. They help players learn new words and expressions while using them in context (Foreman 2004). Plass et al. (2015) explained that GBL is implemented in education by redesigning tasks or homework with rules, rewards for winners, and engaging elements like music, allowing players to achieve learning outcomes unconsciously. By providing an enjoyable experience, games lower the affective filter for language learners, leading to successful language acquisition. They also reduce anxiety by helping students accept failure; losing in a game motivates them to improve, whereas failing in traditional learning may be viewed negatively. Zhu (2018) cited Mongillo (2008) and Anyaegbu, Ting, and Li (2012) to highlight that games promote learning autonomy and encourage learners to make mistakes without fear of punishment. Concannon-Gibney (2019) noted that games nurture children’s oral language skills as they are instinctively drawn to play. Games also contextualize vocabulary use (Meyer 2012) and provide opportunities for practicing learned words (Hansbøl and Meyer 2011), while encouraging innovation and creativity (Ifenthaler, Eseryel, and Ge 2012).

3.2 Total Physical Response (TPR)

TPR is a learning technique introduced by James Asher, who argued that learning a foreign language should mirror first language acquisition, with learners first comprehending the language through exposure before producing it. He believed that physical activity during class enhances the learning process, reducing stress and promoting long-term retention (Asher 1969, 2007).

Kosmas and Zaphiris (2020) tested the influence of body movement on foreign language learning for 118 first- and second-grade students in six elementary schools. The students, native speakers of Greek, Turkish, and Russian, learned English through an embodied learning approach involving body movement. A pre-test and post-test were conducted over a three-month intervention, revealing significant improvement in English knowledge and productive vocabulary. Teachers observed that students were physically and emotionally engaged, feeling the meaning of words through their bodies. The researchers recommended kinesthetic learning approaches as effective and low-cost methods.

Vélez and Villafuerte Holguin (2021) investigated TPR’s efficiency in teaching English to thirty-five seven-year-olds in Ecuador, noting increased motivation, engagement, and academic achievement. Cahyawati and Antara (2021) tested TPR’s influence on vocabulary mastery in 36 kindergarteners in Indonesia, with 17 in an experimental group using TPR and 19 in a control group using conventional methods. The experimental group outperformed the control group in listening, comprehension, and vocabulary mastery, meeting children’s needs for physical activity and emotional involvement (see also Magnussen and Sukying 2021).

4 Research Design

This study adopts a quantitative quasi-experimental comparative design with pre- and post-tests and a nonequivalent control group, to examine the effectiveness of three different teaching approaches in teaching foreign language vocabulary to young learners (see Zibin et al. 2020). Cook (2015: 2) explains that “quasi-experiments usually test the causal consequences of long-lasting treatments outside of the laboratory. But unlike “true” experiments where treatment assignment is at random, assignment in quasi-experiments is by self-selection or administrator judgment”. The experimental nature of this research design helps researchers make sure that the results they have are attributed to a specific intervention that they have applied in the experiment (Miller, Smith, and Pugatch 2020).

4. 1 The Sample

The first author teaches Italian as a third language to Arabic-speaking first graders at the Latin Patriarchate Elementary School in Fuhais, Jordan. The sample was selected using convenience sampling, based on availability. The study population includes all six-year-old first-grade students at the school, totaling 60 (n = 60). There are 270 students from grades one to four learning Italian. To ensure the validity of our findings, four students were excluded due to specific impediments: homeschooling (n = 1), learning difficulties (n = 1), language disorders (n = 1), and autism spectrum disorder (n = 1). Thus, the final sample size consisted of 56 typically developing children, both male and female. Our sample is homogenous (see Creswell 2009), as all participants are six-year-old first graders without language disabilities or other factors that could significantly affect their language learning. While we acknowledge the limitations of the small sample size, we believe our findings offer valuable insights into the effectiveness of our interventions.

All students speak colloquial Arabic as their first language and are learning English as a foreign language (EFL) and Modern Standard Arabic (MSA) through compulsory school courses. They are considered multilingual due to their exposure to colloquial Arabic, English, and MSA. Wei (2008: 4) defines a multilingual individual as “anyone who can communicate in more than one language, be it active (through speaking and writing) or passive (through listening and reading).” According to Thomson (2013), prior language experience influences language aptitude, reinforcing the notion of language aptitude as a dynamic characteristic. The 56 students were divided by the school administration into three sections, and the researchers used the same division for the study: one control group and two experimental groups. Table 1 below provides further details on the division.

Table ‎1

Distribution of the study sample

School section Section A Section B Section C
Sample group The control group Experimental group

no. 1
Experimental group

no. 2
Treatment Traditional teaching TPR GBL
Male/Female numbers 12 males 8 females 11 males 7 females 9 males 9 females
Total number 20 students 18 students 18 students

4.2 Intervention

This study examines the efficiency of TPR and GBL in teaching Italian vocabulary. Both approaches integrate physical activity in class, positively influencing students’ engagement and academic results (McClelland, Pitt, and Stein 2015; Mullender‐Wijnsma et al. 2015; Hiver, Al-Hoorie, and Mercer 2020). Two treatment groups of students, referred to as the TPR group and the GBL group, were taught Italian vocabulary through TPR and GBL, respectively. TPR involves physical movement, while GBL varies according to the types of games used. The school administration divided students into three groups (three sections of grade one) to provide quality education, and the researcher maintained this division for statistical consistency.

The three groups were taught a set of Italian words representing human body parts and related physical movements: dita (‘fingers’), indicare (‘to indicate, to point’), naso (‘nose’), respirare (‘to breathe’), testa (‘head’), ruotare (‘to rotate’), orecchie (‘ears’), ascoltare (‘to hear’), occhi (‘eyes’), guardare (‘to see’), lingua (‘tongue’), assaporare (‘to savor’), bocca (‘mouth’), cantare (‘to sing’), piedi (‘feet’), danzare (‘to dance’), labbra (‘lips’), baciare (‘to kiss’), gambe (‘legs’), saltare (‘to jump’), bacino (‘hip bone’), dondolare (‘to swing’), ginocchia (‘knees’), piegare (‘to bend, to fold’). These words were chosen because they are part of the students’ curriculum, suitable for the teaching approaches employed, and associated with body parts and physical movement, making them ideal for TPR.

In the control group, students learned the target vocabulary using conventional methods focused on memorization through repetition and static visual aids (see Zibin et al. 2023). These teacher-centered methods limited student involvement. Each session involved presenting static pictures of body parts with their corresponding Italian labels on PowerPoint slides. Students engaged in repetitive pronunciation exercises, reinforcing vocabulary acquisition through auditory and verbal repetition. Following pronunciation drills, students participated in matching exercises to connect Italian words with their respective body parts, thus facilitating visual association. However, these techniques do not accommodate kinesthetic learners, as students remained seated and passive (Sokpheng and Meng 2022).

The second group was taught the same set of words using the TPR approach by dancing to the Italian song “Il ballo delle parti del corpo” by Bobby (www.bobby-music.com). The third group learned the words using games: jigsaw puzzles and the Hot Potato game. Students completed half-solved jigsaw puzzles featuring pictures of body parts or actions with related words written under the pictures. More specifically, the picture of the body part or action was already shown to them as a partially solved puzzle, and their job was to complete the puzzle to find out what the Italian word is for that body part or action. Then, they played the Hot Potato game, where each student provided a word from the word list, which could be either a body part or an action, to pass the hot potato to their colleague. The student who receives the ball must provide the word for the body part or action that is associated with the word that their former colleague has provided before passing the ball to another student who provides a new word. For example, student (1) provides the word dita (‘fingers’), student (2) responds with indicare (‘to indicate’), and so on. The Hot Potato game stimulates brainstorming and memorization (Sari 2017).

Phythian-Sence (2006) explained that various criteria determine word knowledge. The researchers chose to assess students’ word knowledge based on contextual understanding, interrelatedness, listening, and pronunciation. Contextual word knowledge refers to a child’s ability to understand a word in context, while interrelatedness refers to the conceptual relationship between words. The words learned can be divided into nouns and verbs, with each noun conceptually associated with a certain verb, and students’ understanding of this relation was tested.

4.3 Data Collection and Analysis

Quantitative data for the study was collected through pre- and post-tests. Prior to the intervention, students participated in a pretest to evaluate their knowledge of the targeted vocabulary. The test comprised four linguistic tasks: a pronunciation task, a listening task, a contextual knowledge task, and an interrelatedness task. Each task was assessed using specific criteria.

  1. Pronunciation Task: Students were evaluatedon their ability to accurately pronounce the presented word. Criteria included clarity of pronunciation, correct syllable stress, andoverall intelligibility. A rubric rated performance on ascale from 1 to 5.

  2. Listening Task: Students wereassessed on their ability to repeat the word after hearing its correctpronunciation from a native speaker. Criteria included accuracy of pronunciation during repetition and the ability to providethe meaning in Arabic. Scoring was based on a rubric.

  3. Contextual Knowledge Task: Administered in a multiple-choice format, students selected thecorrect noun and verb that correlated with a presented image or shortvideo. Criteria included accuracy of selections and relevance based on the visualmaterial. Students received one point for each correct answer.

  4. Interrelatedness Task: This task also used a multiple-choiceformat, where students selected the appropriate body part associated witha pronounced verb. Criteria focused on accuracy, with one point awarded for each correct response.

The experiment was conducted over twelve sessions across six weeks. Following the experiment, students had a week off for recreational activities. After the break, the same tasks were administered in the same order for a posttest over six days, with each group participating for two days.

The pre- and post-tests were held in an interactive atmosphere within the school to alleviate students’ test anxiety. Each student took the exam individually in the lecture hall while their classmates watched a cartoon movie. The author and the student sat at the back of the room to ensure engagement with class activities. Each student completed the tasks separately under the teacher’s supervision. The researchers designed all of the tasks, and Table 2 explains the formula for each task.

Table 2

The pre- and post-tests design

The pronunciation task:

a picture is presented that demonstrates the conceptual meaning of the word (the body part, or action), and the student is asked to pronounce the word.
The listening task:

A recorded pronunciation of the word by a native speaker is played, and the student is asked to repeat the word and provide its meaning in Arabic.
The contextual knowledge task:

This task is done in a multiple choice format: a picture is presented or a very short video that demonstrates a certain setting, action, or object (a football, a ring, a dancer, smelling a flower, swinging) is played, and the student is asked to choose the flashcards with the correct noun and verb that is related to the setting.
The interrelatedness task:

This task is done in a multiple-choice format: a verb is pronounced, and the student is asked to choose the flashcard with the correct body part that is used to perform that action.

To test the reliability of the four tests used in this study, Cronbach’s alpha was used. Each test includes 24 items, which means that the total number of items is 96. Table 3 below shows that the internal consistency of the items in the four tests was 0.927 which means that the internal consistency is excellent.

Table ‎3

Reliability of the tests

Scale: Cronbach’s alpha stability test total score
Reliability Statistics
Cronbach’s Alpha N of Items
0.927 96

After collecting the data, they were analyzed using inferential statistics as follows: an ANCOVA was used first to compare the results of the three groups before and after the experiment to investigate the influence of the teaching approaches on their overall word knowledge. This is done to determine which teaching approach was relatively most effective. Secondly, a MANCOVA was used to compare students’ results in the three groups before and after the experiment to examine the influence of the teaching approaches on each of the four skills that the tasks tested, to detect if there is any correlation between a certain teaching approach and the development of a certain skill.

5 Results

Analyzing the participants’ results essentially depends on the means of their marks in the tests. The means of their total results are analyzed first to evaluate their knowledge of the target words in general, and an analysis of their learning regarding each word knowledge criterion is presented later in this section. Table 4 presents the means of the participants’ results in the pre- and post-tests for each group.

Table ‎4

Comparison between the participants’ results in the pre- and post-tests in the three groups

Means Report
Group Pre-Sum Post-Sum
Control Mean 17.90 64.05
N 20 20
Std. Deviation 4.529 13.598
Experimental 1

(TPR)
Mean 17.83 74.83
N 18 18
Std. Deviation 3.585 10.977
Experimental 2

(GBL)
Mean 16.94 73.33
N 18 18
Std. Deviation 2.485 9.828
Total Mean 17.57 70.50
N 56 56
Std. Deviation 3.627 12.445

The control group averaged 17.90 on the pre-test and 64.05 on the post-test, showing improvement in learning Italian vocabulary through traditional methods. The TPR group improved from 17.83 on the pre-test to 74.83 on the post-test, indicating significant enhancement due to the Total Physical Response (TPR) approach. The GBL group also increased from 16.94 on the pre-test to 73.33 on the post-test. These results suggest that the experimental groups outperformed the control group, likely due to the engaging strategies of TPR and Game-Based Learning (GBL). A univariate analysis of variance (ANOVA) was conducted to assess the statistical significance of the post-test differences among the three groups, with results presented in Table 5.

Table 5

Univariate Analysis of Variance (ANCOVA)

Tests of Between-Subjects Effects
Dependent Variable: Post-Sum
Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared
Pre-sum 879.304 1 879.304 7.230 0.010
Group 1441.286 2 720.643 5.925 0.005 0.186
Error 6324.146 52 121.618
Corrected Total 8518.000 55
a. R Squared = .258 (Adjusted R Squared = .215)

Table 5 shows that the differences between the participants’ results on the posttest compared to the pre-test in all three groups are statistically significant (p=0.005>0.05). This suggests that the performance of all three groups on the post-test has improved compared to the pre-test. To determine whether the treatments (TPR and GBL) affected the participants’ answers on the post-test compared to the control group, pairwise comparisons were administered, and the results are reported in Table 6.

Table 6

Pairwise comparisons between the three groups on the post-test

Pairwise Comparisons
Dependent Variable: Post-Sum
Group Mean Difference (I-J) Sig. b
Experimental 1 (TPR) Control 10.857* 0.011
Experimental 1 (TPR) Experimental 2 (GBL) 0.513 1.000
Experimental 2 (GBL) Control 10.344* 0.018
Based on estimated marginal means
*. The mean difference is significant at0.05 level.
b. Adjustment for multiple comparisons: Bonferroni.

Table 6 shows that the differences between the participants’ post-test answers in the GBL group and the control group were statistically significant (p = 0.011 < 0.05) in favor of the GBL group, indicating a positive impact of GBL treatment on performance. It also reveals that the differences between the TPR group and the control group were statistically significant (p = 0.018 < 0.05) in favor of the TPR group, suggesting that the TPR approach positively influenced performance. In contrast, the differences between the GBL and TPR groups were not statistically significant (p = 1.000 > 0.05), indicating that both treatments were equally effective.

The evaluation of learning Italian words can be based on various criteria of word knowledge, with researchers dividing the tests into four tasks to assess the participants’ understanding of the target words: pronunciation, listening, contextual knowledge, and interrelatedness. Table 7 presents the participants’ average scores on the pre- and post-tests for these four skills across the three groups.

Table 7

Comparison between the participants’ results on the four tasks pre and post treatments

Means Report
Group A-SUM (pronunciation pre) AA-SUM (pronunciation post) B-SUM (listen-

ing pre)
BB-SUM (listen-

ing post)
C-SUM (con-

textual knowledge pre)
CC-SUM (con-

textual knowledge post)
D-SUM (inter-

relatedness pre)
DD-SUM (inter-

relatedness post)
Control Mean 0.00 7.10 17.90 23.40 0.00 18.30 0.00 15.25
N 20 20 20 20 20 20 20 20
Std. Deviation 0.000 5.821 4.529 1.095 0.000 3.840 0.000 4.844
Experimental 1 TPR Mean 0.00 11.17 17.83 23.00 0.00 20.56 0.00 20.11
N 18 18 18 18 18 18 18 18
Std. Deviation 0.000 5.216 3.585 1.372 0.000 2.874 0.000 3.692
Experimental 2 GBL Mean 0.00 11.44 16.94 23.72 0.00 18.44 0.00 19.72
N 18 18 18 18 18 18 18 18
Std. Deviation 0.000 4.841 2.485 0.575 0.000 5.469 0.000 4.561
Total Mean 0.00 9.80 17.57 23.38 0.00 19.07 0.00 18.25
N 56 56 56 56 56 56 56 56
Std. Deviation 0.000 5.613 3.627 1.088 0.000 4.238 0.000 4.885

According to Table 7, all three groups scored zero on the pronunciation, contextual knowledge, and interrelatedness tasks before the treatments, indicating a lack of prior knowledge. However, they were able to repeat words in the listening test as they were played. The control group scored an average of 0.00 on the pre-test of the pronunciation task, which increased to 7.10 on the post-test. This task involved displaying a picture to illustrate the word’s meaning and asking participants to provide the word for pronunciation assessment, making it the most challenging task as they relied solely on memory (cf. Altakhaineh, Alhloul, and Zibin 2022).

The control group achieved the lowest post-test score in this task compared to the experimental groups, as they learned the words through traditional memorization and repetition without engaging teaching methods. In the listening task, the control group scored an average of 17.90 on the pre-test and improved to 23.40 on the post-test. This task required participants to repeat words after hearing a native speaker’s pronunciation. Despite improvement, the control group did not surpass the experimental groups on this task. For the contextual knowledge task, they went from an average of 0.00 on the pre-test to 18.30 on the post-test, demonstrating significant advancement. This task involved twenty-four multiple-choice questions with context-related images. The interrelatedness task, which also consisted of twenty-four multiple-choice questions, showed an increase from 0.00 on the pre-test to 15.25 on the post-test, indicating great improvement. Overall, the control group showed performance improvements in all four skills based on pre- and post-test comparisons.

In the first experimental group (TPR), participants scored an average of 0.00 on the pre-test for the pronunciation task, increasing to 11.17 on the post-test, outperforming the control group. They scored 17.83 on the pre-test of the listening task, which increased to 23.00, making them comparable to the control group. However, the TPR group excelled in the contextual knowledge task, increasing from 0.00 on the pre-test to 20.56 on the post-test. They also improved from 0.00 to 20.11 on the interrelatedness task, significantly surpassing the control group. In summary, the TPR group outperformed the control group in pronunciation, contextual knowledge, and interrelatedness tasks, while both groups were nearly equal in the listening task.

In the second experimental group (GBL), participants scored an average of 0.00 on the pre-test for the pronunciation task, which jumped to 11.44 on the post-test, recording the highest average score among the three groups. Despite the lowest pre-test score of 16.94 on the listening task, they achieved the highest post-test score of 23.72. Their average score on the contextual knowledge task increased from 0.00 on the pre-test to 18.44 on the post-test. Finally, their interrelatedness task score rose from 0.00 on the pre-test to 19.72 on the post-test. The GBL group excelled in the pronunciation and listening tasks, while the TPR group outperformed others in contextual knowledge and interrelatedness tasks. To determine if the differences between pre- and post-test scores across all tasks in the three groups were statistically significant, Table 8 presents the results of the multivariate test.

Table 8

Results of the Multivariate Test (MANCOVA)

Multivariate Testsa
Effect Value F Sig.
GROUP
Wilks’ Lambda 0.579 3.843b 0.001
a. Design: Intercept + ASUM + BSUM + CSUM + DSUM + GROUP
b. Exact statistic
c. The statistic is an upper bound on F that yields a lower bound on the significance level.

According to Table 8, the results of the multivariate test indicate that the differences between the participants’ achievement on the four tasks’ pre- and post-tests among the three groups were statistically significant (p=0.001).

To get a more detailed analysis of the impact of the teaching approach on participants’ performance, their results on the post-tests of the four tasks were compared to investigate whether a specific teaching approach influences skills or not. Table 9 shows a pairwise comparison between the answers of the participants on all four tasks in the post-test.

Table 9

Pairwise comparison between the answers of the participants on all four tasks in the post-test

Pairwise Comparisons
Dependent Variable: Post-sum Mean Difference (I-J) Sig. b
AA-SUM (pronunciation post) Control Experimental 1 TPR -4.091 0.058
Experimental 2 GBL -4.686-* 0.025
Experimental 1 TPR Control 4.091 0.058
Experimental 2 GBL -0.596 1.000
Experimental 2 GBL Control 4.686* 0.025
Experimental 1 TPR 0.596 1.000
BB-SUM (listening post) Control Experimental 1 TPR 0.393 0.701
Experimental 2 GBL -0.423 0.608
Experimental 1 TPR Control -0.393 0.701
Experimental 2 GBL -0.816 0.056
Experimental 2 GBL Control 0.423 0.608
Experimental 1 TPR 0.816 0.056
CC-SUM (contextual knowledge post) Control Experimental 1 TPR -2.274 0.280
Experimental 2 GBL -0.415 1.000
Experimental 1 TPR Control 2.274 0.280
Experimental 2 GBL 1.860 0.543
Experimental 2 GBL Control 0.415 1.000
Experimental 1 TPR -1.860 0.543
DD-SUM (interrelatedness post) Control Experimental 1 TPR -4.885-* 0.003
Experimental 2 GBL -4.820-* 0.003
Experimental 1 TPR Control 4.885* 0.003
Experimental 1 TPR Experimental 2 GBL 0.065 1.000
Experimental 2 GBL Control 4.820* 0.003
Experimental 1 TPR -0.065 1.000
Based on estimated marginal means
*. The mean difference is significant at0.05 level.
b. Adjustment for multiple comparisons: Bonferroni.

Table 9 shows a statistically significant difference (p=0.025) between the control group and the GBL group in the post-test pronunciation task, favoring the GBL group. It also reveals a significant difference (p=0.003) in the interrelatedness task, with the GBL group outperforming the control group. Similarly, there is a significant difference (p=0.003) between the control group and the TPR group in the interrelatedness task, with the TPR group outperforming the control group. Both treatments, TPR and GBL, effectively helped participants relate pairs of words (body part and movement). However, neither treatment was statistically superior; both were equally effective. A discussion of the results based on the AFH and previous studies follows.

6 Discussion

The pre- and post-test results indicate that both experimental groups outperformed the control group. Krashen (1982) states that high motivation, self-confidence, and low anxiety enhance a learner’s ability to acquire new material (see Al-Momani et al. 2024). The improved performance of the experimental groups suggests that Game-Based Learning (GBL) and Total Physical Response (TPR) teaching methods lower learners’ affective filters by fostering an engaging and enjoyable learning environment, which enhances motivation and decreases foreign language anxiety (Horwitz 2010). This finding aligns with Krashen’s Affective Filter Hypothesis (AFH).

The initial objective was to evaluate the effects of TPR and GBL methods on Arabic-speaking EFL children’s acquisition of Italian. Insights from the control group, taught using traditional methods, also relate to AFH. Although they did not use specific strategies to lower the affective filter, they still showed significant improvement from the pre-test to the post-test. This suggests that general motivation and lower anxiety levels can positively influence learning outcomes. According to Krashen’s AFH, a low-anxiety, high-motivation environment enhances language acquisition by increasing receptiveness to language input. The control group’s use of visual aids and interactions with the teacher likely cultivated a positive learning environment, contributing to their progress (Horwitz 2010). Their connection to the target language community may have further reinforced their engagement with the language (Frutiger 2018). Consequently, the control group improved in the post-test, indicating the potential effectiveness of traditional teaching techniques. This supports Laine (1988), who noted that school settings can create motivating environments that encourage participation and engagement.

The achievements of the GBL participants support findings by Wang et al. (2011), suggesting that game-playing can alleviate social anxiety, enabling learners to use the target language more freely. Additionally, the success of the GBL participants reinforces Masri and Najar’s (2014) argument that games enhance learner engagement through interactive educational activities. Similarly, Zhu (2018) argued that games promote student-centered learning.

The effectiveness of the TPR group supports Asher’s (2007) assertion that physical activity enhances learning by reducing stress and improving vocabulary retention. Kosmas and Zaphiris (2020) noted that learning through actions significantly aids vocabulary production, allowing learners to connect meanings to movements. Sariyati (2013) emphasized TPR’s suitability for young learners, who are naturally inclined toward movement and activity. Thus, both GBL and TPR are validated as effective teaching approaches for facilitating vocabulary learning among young learners.

This study assessed participants’ word knowledge based on four criteria: pronunciation, listening, contextual knowledge, and interrelatedness. The results showed that the GBL group excelled in the pronunciation task. The Hot Potato game provided intensive practice, motivating participants to focus on accurate pronunciation for competitive success. Additionally, the puzzle-solving activity encouraged students to attempt pronunciation independently before receiving guidance from their teacher. This competitive yet stress-free environment contributed to their mastery of pronunciation, aligning with findings by Sulistyowati and Sarosa (2014), who highlighted the effectiveness of puzzles in improving pronunciation. Their success also supports Stavy et al. (2019), who argued that puzzles aid vocabulary retention.

In the interrelatedness task, both experimental groups significantly outperformed the control group (Table 10). The GBL group’s success was due to the Hot Potato game, which helped participants associate related words, and the emphasis on pairs during puzzle-solving, which likely reduced affective filters and improved term associations. Pierce (2013) noted the role of game design in achieving educational outcomes. The TPR group excelled by aligning actions with song lyrics, reinforcing vocabulary connections. In contrast, the control group relied on memorization, reducing their engagement compared to the experimental groups, supporting Shoval et al.'s (2018) view that actions should match target word meanings.

The AFH provides insight into performance differences among the experimental groups but cannot fully explain all results, such as the similar performance between Total TPR and GBL, which showed no statistically significant differences despite differing pedagogical approaches. Data indicated distinct effects on specific tasks, with the GBL group excelling in pronunciation.

AFH does not clarify the nearly equivalent results of the control and TPR groups in the listening task, which contradicts earlier research by Cahyawati and Antara (2021) that suggested songs would enhance the TPR group’s performance. While AFH aids in understanding participants’ overall performance under specific teaching methods, it does not capture the complexities of these strategies. Further exploration is needed to understand how particular teaching approaches can enhance learner engagement, especially regarding vocabulary acquisition.

The improvement in the control group is significant. They demonstrated considerable progress from pre-test to post-test, indicating that traditional teaching methods also facilitate effective learning. This suggests that the absence of GBL and TPR did not impede their learning or significantly affect motivation, confidence, and anxiety levels. The findings imply that positive outcomes can arise within a traditional framework, indicating that various teaching methods may influence these factors without being mutually exclusive.

The multilingual backgrounds of the students may have shaped their language learning experiences. According to Ellis (1994), multilingualism can enhance language acquisition by increasing metalinguistic awareness. Research by Kalashnikova et al. (2014) and Kaushanskaya et al. (2014) supports the idea that multilingual children often excel in learning foreign vocabulary by relating multiple words across languages to the same concepts (Hirosh and Degani 2018). This highlights the importance of the context in which students learn and the diverse characteristics they bring to the classroom, prompting teachers to adapt their approaches effectively.

The teacher-student relationship is crucial in shaping students’ perceptions, attitudes, and engagement. This study highlights the multifaceted nature of the learning process. Effective teaching requires responsive instructional strategies and a supportive classroom environment. Educators must navigate these dynamics to optimize learning outcomes.

Assessing the tasks used, the pronunciation task relied heavily on participants’ memory. The GBL group’s superior performance may stem from their active engagement with vocabulary. To improve future assessments, incorporating images alongside words would focus on pronunciation skills rather than memory retention.

The interrelatedness task aimed to evaluate participants’ understanding of word relationships. As shown in Table 10, the control and TPR groups performed better on later questions, suggesting a reliance on memorization. In contrast, the GBL group demonstrated effective learning through gameplay, facilitating their understanding of vocabulary connections.

In conclusion, AFH provides a foundation for understanding the emotional factors influencing language learning, but the complexities observed in this study call for further research on the interaction between teaching methods, student characteristics, and instructional contexts. Enhancing vocabulary acquisition remains critical for educational practice, and future studies should emphasize instructional strategies that accommodate diverse learner needs. By addressing these challenges, educators can optimize their approaches to language instruction, leading to improved learning outcomes for all students.

Table 10

Comparison of the mean results of the two groups of questions on the interrelatedness task

Group Questions 1–12 mean results Questions 13–14 mean results
Control 7.7 7.55
TPR 9.83 10.3
GBL 10.1 9.67

The experiment in this study has generated some insightful ideas that may contribute to improving the educational system, which are presented in the following section.

7 Pedagogical Implications

This study provides practical strategies to enhance the learning process for students and benefit teachers. Firstly, students should have opportunities to explore pronunciation independently. In learning Italian, with its transparent orthography (Gossu 1999), students can often deduce pronunciation from spelling. Italian words are mostly pronounced as written, with few exceptions (Fava 2022) and limited ambiguities (Angelelli et al. 2018). Tools like puzzles, flashcards, and teaching aids can facilitate this exploration. In resource-limited settings, teachers can write words on the board and organize pronunciation competitions to boost engagement. Grouping students can reduce the fear of failure and promote teamwork. After collecting responses, teachers can play recordings of correct pronunciation by native speakers for self-correction.

Next, teachers should help students understand word meanings. Using images or videos to illustrate meanings can encourage students to guess definitions. In classrooms without smartboards, teachers might mimic meanings, use printed images, or create simple illustrations. While guessing may not work for abstract concepts like “kindness” or “truth,” teachers can provide initial definitions and enhance comprehension through activities, role plays, and storytelling. Reinforcing pronunciation and meaning requires practice, with the Hot Potato game recommended for fun and dynamic improvement.

Once students achieve proficiency in pronunciation, teachers can enhance their contextual knowledge of words. Understanding context involves recognizing word usage in specific situations. Teachers should provide insights into the time, place, actions, and items associated with each word. For example, “flower” may relate to “spring” (time), “garden” (place), “smelling” and “plucking” (actions), and “bouquet” (item). Asking students to identify these elements boosts engagement and creativity. A contextual drawing activity can foster engagement, and teachers can gather these elements to create exercises that assess understanding. For example, if students associate “summer” with “beach,” “ice cream,” “swimming pool,” and “sun,” teachers could design matching exercises comparing these with contrasting words like “coat,” “snow,” “skiing,” and “cold.”

Knowledge of word interrelatedness can stem from contextual activities and be reinforced through various exercises. While this study showed the effectiveness of movement through dancing for understanding body parts and actions, this may not be universally applicable. The Hot Potato game is a flexible option for practicing interrelatedness, adaptable to different group sizes and vocabulary. Teachers could also create crossword puzzles centered around interconnected words, providing a non-physical activity as needed.

Finally, listening skills can be nurtured throughout the vocabulary learning process, with additional development through dedicated practice. Songs are valuable for listening activities, especially when performed by native speakers. Teachers are encouraged to find suitable cartoon materials in the target language, particularly updated versions of popular children’s shows. When classroom resources are limited, providing parents with access to these materials can facilitate exposure to the language outside of class.

8 Conclusion

This study examined the effectiveness of Game-Based Learning (GBL) and Total Physical Response (TPR) for teaching foreign language vocabulary to young learners, framed by the Affective Filter Hypothesis (AFH). Vocabulary knowledge was assessed based on four criteria: pronunciation, listening, contextual knowledge, and interrelatedness. It was revealed that unconventional methods like GBL and TPR create engaging, low-anxiety learning environments, enhancing motivation and confidence while reducing foreign language anxiety (Horwitz 2010). Research indicates that learners with lower anxiety levels engage more effectively in learning (Krashen 1982). Incorporating songs and movement through TPR supports a conducive learning atmosphere. Games enhance engagement by alleviating peer pressure and anxiety, leading to a more interactive experience. The TPR approach was particularly effective in teaching action words, where movements aligned with target vocabulary meanings (Asher 2007). While TPR and GBL were effective in this study, different strategies may be needed for teaching abstract vocabulary. The AFH may not fully explain the variances in teaching effectiveness across methodologies. Integrating AFH with other theories may improve its explanatory power.

The control group, using traditional teaching methods, provided insights related to the AFH. Their significant improvement, despite not targeting the affective filter, suggests that motivation and anxiety levels influence learning outcomes. Additionally, factors such as teacher-student relationships, classroom environment, and perceptions of belonging to a language community play critical roles in shaping student attitudes, even in traditional settings.

The findings contribute to third language teaching by offering guidelines for selecting effective approaches and providing recommendations for classroom activities that foster engagement and improve learning outcomes. The study promotes learner-centered approaches in multicultural and multilingual contexts.

This research also adds to the field of Italian studies, which has received less attention. Manual games encourage physical activity in less equipped classrooms, but the role of digital games should not be overlooked due to their prevalence in children’s lives. Investing in educational digital games could be beneficial, and further research on popular digital games may inform their development and integration into classroom practices.

References

Al Khalili, Shatha. 2018. The effects and challenges of integrating go animate video creator with task-based language teaching (TBLT) in teaching English to a grade 11 Omani class. Journal for Researching Education Practice and Theory 1(1). 56–73. https://bspace.buid.ac.ae/buid_server/api/core/bitstreams/ea0adb58-be0d-4f6b-b8a7-56e6d47bd04d/contentSuche in Google Scholar

Al Masri, Amal & Majda Al Najar. 2014. The effect of using word games on primary stage students’ achievement in English language vocabulary in Jordan. American International Journal of Contemporary Research 4(9). 114–152. Suche in Google Scholar

Al-Momani, Jehad, Mo’en Al-Nasraween, & Mohammad Maabreh. (2024). The effect of using nearpod on the science achievement of eighth grade Students and their motivation towards learning. Jordan Journal of Applied Science-Humanities Series 40(1). 35–47. https://doi.org/10.35192/jjoas-h.v40i1.83610.35192/jjoas-h.v40i1.836Suche in Google Scholar

Altakhaineh, Abdel Rahman, Rozan Alhloul & Aseel Zibin. 2022. Foreign language processing of English regular and irregular past tense verbs by Arabic-speaking EFL children. Psycholinguistics 32(2). 6–28. https://doi.org/10.31470/2309-1797-2022-32-2-6–2810.31470/2309-1797-2022-32-2-6-28Suche in Google Scholar

AL-Tkhayneh, Khawlah Mitib, Ziyad Kamel Ellala, Balkees Abuawad, Razan Alkhatib, & Eman Saleh Almasri. (2024). Evaluating the effect of using augmented reality (Metaverse) on improving the teaching and academic performance. Edelweiss Applied Science and Technology 8(4). 397–406.10.55214/25768484.v8i4.1050Suche in Google Scholar

Angelelli, Paola, Chiara Valeria Marinelli, Anna Putzolu, Alessandra Notarnicola, Marika Iaia & Cristina Burani. 2018. Learning to spell in a language with transparent orthography: Distributional properties of orthography and whole-word lexical processing. Quarterly Journal of Experimental Psychology 71(3). 704–716. https://doi.org/10.1080/17470218.2016.127571510.1080/17470218.2016.1275715Suche in Google Scholar

Anyaegbu, Ruphina, Wei Ting & Y. I. Li. 2012. Serious game motivation in an EFL classroom in Chinese primary school. Turkish Online Journal of Educational Technology – TOJET 11(1). 154–164. https://eric.ed.gov/?id=EJ976578Suche in Google Scholar

Asher, James J. 1969. The total physical response technique of learning. The Journal of Special Education 3(3). 253–262. https://doi.org/10.1177/00224669690030030410.1177/002246696900300304Suche in Google Scholar

Asher, James J. 2007. TPR: after forty years, still a very good idea. http://www.tpr-world.com/japan-article.html (accessed 10 July 2021)Suche in Google Scholar

Cahyawati, Nilam & Putu Aditya Antara. 2021. The influence of total physical response (TPR) method on English vocabulary mastery in group b children. In 2nd International Conference on Technology and Educational Science (ICTES 2020), 484–489. Atlantis Press. https://doi.org/10.2991/assehr.k.210407.28210.2991/assehr.k.210407.282Suche in Google Scholar

Concannon-Gibney, Tara. 2019. Teaching essential literacy skills in the early years classroom, a guide for students and teachers. Oxon: Routledge. https://doi.org/10.4324/978135106119310.4324/9781351061193Suche in Google Scholar

Conteh-Morgan, Miriam. 2002. Connecting the dots: Limited English proficiency, second language learning theories, and information literacy instruction. The Journal of Academic Librarianship 28(4). 191–196. https://doi.org/10.1016/S0099-1333(02)00282-310.1016/S0099-1333(02)00282-3Suche in Google Scholar

Cook, Thomas. 2015. Quasi‐experimental design. Wiley Encyclopedia of Management, 1–2. https://doi.org/10.1002/9781118785317.weom11022710.1002/9781118785317.weom110227Suche in Google Scholar

Creswell, John. 2009. Research design: qualitative, quantitative, and mixed methods approach. (3rd ed.). Thousand Oaks: Sage. https://psycnet.apa.org/record/2008-13604-000Suche in Google Scholar

Du, Xiaoyan. 2009. The affective filter in second language teaching. Asian Social Science 5(8). 162–165. https://pdfs.semanticscholar.org/3e88/421bfd86a4277000892199772c566282915 f.pdf10.5539/ass.v5n8p162Suche in Google Scholar

Dulay, Heidi & Marina Burt. 1977. Remarks on creativity in language acquisition. Viewpoints on English as a Second Language 2. 95–126. https://www.scirp.org/reference/ReferencesPapers?ReferenceID=2083917Suche in Google Scholar

Ellis, Nick. 1994. Vocabulary acquisition: the implicit ins and outs of explicit cognitive mediation. In Ellis, Nicholas Carlton (eds.), Implicit and explicit learning of languages, 211–282. London: Academic Press. Suche in Google Scholar

Er, Sühendan. 2015. Foreign language learning anxiety of Turkish children at different ages. International Online Journal of Education and Teaching (IOJET) 2(2). 68–78. http://iojet.org/index.php/IOJET/article/view/81/106Suche in Google Scholar

Fava, Marta. 2022. An epic guide on how to master the Italian alphabet & pronunciation. https://www.berlitz.com/blog/italian-alphabet. (accessed 9th March 2024).Suche in Google Scholar

Foreman, Joel. 2004. Game-based learning: How to delight and instruct in the 21st century. Educause Review 39(5). 50–66. https://www.learntechlib.org/p/98263/Suche in Google Scholar

Frutiger, Megan. 2018. Adapting tools to measure students’ affective filter for the elementary dual-immersion context. School of Education and Leadership Student Capstone Projects. 161. https://digitalcommons.hamline.edu/hse_cp/161/Suche in Google Scholar

Gass, Susan M., Jennifer Behney & Luke Plonsky. 2020. Second language acquisition an introductory course. (4th ed.). New York: Routledge. https://doi.org/10.4324/978131518175210.4324/9781315181752Suche in Google Scholar

Gossu, Guiseppe. 1999. The acquisition of Italian orthography. In Margaret Harris & Giyoo Hatano (eds.), Learning to Read and Write: A Cross-Linguistic Perspective, 10-33. Cambridge: Cambridge University Press. Suche in Google Scholar

Hansbøl, Mikala & Bente Meyer. 2011. Shifting ontologies of a serious game and its relationships with English education for beginners. Special Issue of Elearning and Digital Media 8(3). 228–246. https://doi.org/10.2304/elea.2011.8.3.22810.2304/elea.2011.8.3.228Suche in Google Scholar

Hirosh, Zoya & Tamar Degani. 2018. Direct and indirect effects of multilingualism on novel language learning: an integrative review. Psychonomic Bulletin & Review 25. 892–916. https://doi.org/10.3758/s13423-017-1315-710.3758/s13423-017-1315-7Suche in Google Scholar

Hiver, Phil, Ali H. Al-Hoorie & Sarah Mercer (eds.). 2020. Student engagement in the language classroom. Multilingual Matters. 10.21832/HIVER3606Suche in Google Scholar

Horwitz, Elaine. 2010. Foreign and second language anxiety. Language Teaching 43(2). 154–167. https://doi.org/10.1017/S026144480999036X10.1017/S026144480999036XSuche in Google Scholar

Ifenthaler, Dirk, Deniz Eseryel & Xun Ge. 2012. Assessment in Game-Based Learning. New York, NY: Springer. https://doi.org/10.1007/978-1-4614-3546-4_110.1007/978-1-4614-3546-4Suche in Google Scholar

Ismail, Ahmad & Ong’onda, Anashia. 2021. Teacher factors that accelerate the acquisition of second language: a case of primary schools in Balambala Sub-County, Garissa County-Kenya. East African Scholars Journal of Education, Humanities and Literature 4(10). 370–378. DOI: 10.36349/easjehl.2021.v04i10.002 Suche in Google Scholar

Johnson, Jacqueline & Elissa Newport. 1989. Critical period effects in second language learning: The influence of maturational state on the acquisition of English as a second language. Cognitive Psychology 21(1). 60–99. https://doi.org/10.1016/0010-0285(89)90003-010.1016/0010-0285(89)90003-0Suche in Google Scholar

Kalashnikova, Marina, Karen Mattock & Padraic Monaghan. 2014. The effects of linguistic experience on the flexible use of mutual exclusivity in word learning. Bilingualism: Language and Cognition 18. 626–638. https://doi.org/10.1017/S136672891400036410.1017/S1366728914000364Suche in Google Scholar

Kaushanskaya, Margarita, Megan Gross & Milijana Buac. 2014. Effects of classroom bilingualism on task-shifting, verbal memory, and word learning in children. Developmental Science 17. 564–583. https://doi.org/10.1111/desc.1214210.1111/desc.12142Suche in Google Scholar

Khalifa, Mohamed. 2020. Errors in English pronunciation among Arabic speakers: analysis and remedies. Cambridge Scholars Publishing. Suche in Google Scholar

Kosmas, Panagiotis & Panayiotis Zaphiris. 2020. Words in action: investigating students’ language acquisition and emotional performance through embodied learning. Innovation in Language Learning and Teaching 14(4). 317–332. https://doi.org/10.1080/17501229.2019.160735510.1080/17501229.2019.1607355Suche in Google Scholar

Krashen, Stephen. 1982. Principles and practice in second language acquisition. Oxford: Pergamon Press. Suche in Google Scholar

Krashen, Stephen. 1992. Fundamentals of language education. Torrance, CA: Laredo Publishing Company. https://www.beniko-mason.net/content/story-listening/2020-10-22-fundamentals-of-langauge-eduation-krashen.pdfSuche in Google Scholar

Laine, Eero. 1988. The affective filter in foreign language learning and teaching. Report 2: A validation study of filtering factors with a focus on the learner’s FL self-concept. Jyvaskyla Cross-Language Studies, No. 15. https://eric.ed.gov/?id=ED303992Suche in Google Scholar

Lightbown, Patsy & Nina Spada. 2021. How languages are learned. (5th ed.). Oxford University Press.Suche in Google Scholar

Lim, Rex. 2020. The unheard voices of students: affective filter in focus. Innovation the European Journal of Social Science Research 4(9). 472–475.Suche in Google Scholar

Lin, Grace Hui Chin. 2008. Pedagogies proving Krashen’s Theory of Affective Filter. Hwa Kang Journal of English Language & Literature 14. 113–131. https://eric.ed.gov/?id=ED503681Suche in Google Scholar

Lorenz, Eliane, Yevheniia Hasai & Peter Siemund. 2021. Multilingual lexical transfer challenges monolingual educational norms: not quite!. Multilingua 40(6). 791–813. https://doi.org/10.1515/multi-2021–001410.1515/multi-2021-0014Suche in Google Scholar

Magnussen, Ernst & Apisak Sukying. 2021. The impact of songs and TPR on Thai preschoolers’ vocabulary acquisition. THAITESOL Journal 34(1). 71–95. https://so05.tci-thaijo.org/index.php/thaitesoljournal/article/view/252356Suche in Google Scholar

McCarthy, Molly. 2019. Collaborative drama for the adult ESL classroom: A guidebook for engaging adult English language learners in their oral language production through a television series. California: University of San Francesco Master’s Thesis. https://repository.usfca.edu/capstone/967/Suche in Google Scholar

McClelland, Elizabeth, Anna Pitt & John Stein. 2015. Enhanced academic performance using a novel classroom physical activity intervention to increase awareness, attention and self-control: putting embodied cognition into practice. Improving Schools 18(1). 83–100. https://doi.org/10.1177/136548021456212510.1177/1365480214562125Suche in Google Scholar

Meyer, Bente. 2012. Game-Based Language Learning for Pre-School Children: A Design Perspective. In Proceedings of the 6th European Conference on Games Based Learning: ECGBL, 332). Academic Conferences Limited.Suche in Google Scholar

Miller, Christopher J., Shawna N. Smith & Marianne Pugatch. 2020. Experimental and quasi-experimental designs in implementation research. Psychiatry Research 283. 112452. https://doi.org/10.1016/j.psychres.2019.06.02710.1016/j.psychres.2019.06.027Suche in Google Scholar

Mongillo, Gerri. 2008. Play, games, and attitude: Student and teacher perspectives of educational games. Journal of Educational Technology 5(2). 44–54. https://www.proquest.com/openview/2141375ae4a66f2cbac61b74fbee1b45/1?pq-origsite=gscholar&cbl=203062810.26634/jet.5.2.539Suche in Google Scholar

Mower, Emily. 2018. The successful foreign language classroom: Affect, empathy, and engagement. Logan, Utah: Utah State University Master’s Thesis. https://doi.org/10.26076/cc13-d313Suche in Google Scholar

Mullender‐Wijnsma, Marijke J., Esther Hartman, Johannes W. de Greeff, Roel J. Bosker, Simone Doolaard & Chris Visscher. 2015. Improving academic performance of school‐age children by physical activity in the classroom: 1‐year program evaluation. Journal of School Health 85(6). 365–371. https://doi.org/10.1111/josh.1225910.1111/josh.12259Suche in Google Scholar

Osterman, Karen. 2000. Students’ need for belonging in the school community. Review of Educational Research 70(3). 323–367. https://doi.org/10.3102/0034654307000332310.3102/00346543070003323Suche in Google Scholar

Phythian-Sence, Caroline. 2006. What do children know, when they know a word?. Tallahassee, Florida: Florida State University Unpublished master’s thesis. http://purl.flvc.org/fsu/fd/FSU_migr_etd-0932Suche in Google Scholar

Pierce, Neil. 2013. Digital game-based learning for early childhood: A state of the art report. Dublin, Ireland: Learnovate Centre. https://members.learnovatecentre.org/wp-content/uploads/2021/05/Early_Childhood_Game-based_Learning.pdfSuche in Google Scholar

Pitriana, Desi & Jufri Syahrudin. 2013. The use of cartoon movie as a media in teaching vocabulary to young learners. Journal of English Language Teaching 1(2). 106–113. https://doi.org/10.24036/jelt.v1i2.1281Suche in Google Scholar

Pivnicki John, & Radmila Palinkasevic. 2016. The role of musical games in foreign language learning for preschool children. The 4th Annal of the “Eftimie Murgu“. University of Resita, File of Social-Humanities.Suche in Google Scholar

Plass, Jan L., Bruce D. Homer & Charles K. Kinzer. 2015. Foundations of game-based learning. Educational Psychologist 50(4). 258–283. https://doi.org/10.1080/00461520.2015.112253310.1080/00461520.2015.1122533Suche in Google Scholar

Sariyati, Ice. 2013. The effectiveness of TPR (Total Physical Response) method in English vocabulary mastery of elementary school children. PAROLE: Journal of Linguistics and Education 3(1). 50–64. https://doi.org/10.14710/parole.v3i1 %20April.50–64Suche in Google Scholar

Shaffer, David Williamson, Kurt R. Squire, Richard Halverson & James P. Gee. 2005. Video games and the future of learning. Phi Delta Kappan 87(2). 105–111. https://doi.org/10.1177/00317217050870020510.1177/003172170508700205Suche in Google Scholar

Shoval, Ella, Tal Sharir, Michal Arnon & Gershon Tenenbaum. 2018. The effect of integrating movement into the learning environment of kindergarten children on their academic achievements. Early Childhood Education Journal 46(3). 355–364. https://doi.org/10.1007/s10643-017-0870-x10.1007/s10643-017-0870-xSuche in Google Scholar

Soyoof, Ali, Barry Lee Reynolds, Rustam Shadiev & Boris Vazquez-Calvo. 2021. A mixed-methods study of the incidental acquisition of foreign language vocabulary and healthcare knowledge through serious game play. Computer Assisted Language Learning. 1–34. https://doi.org/10.1080/09588221.2021.202124210.1080/09588221.2021.2021242Suche in Google Scholar

Stavy, Donald., Lydia Zeta, Frankie Subon & Norseha Unin. 2019. Using language games for vocabulary retention in a rural primary school in Sarawak. International Journal of Service Management and Sustainability 4(2). 101–118. https://ir.uitm.edu.my/id/eprint/32621/10.24191/ijsms.v4i2.8067Suche in Google Scholar

Stoimcheva-Kolarska & Desislava Lyubomirova. 2020. The impact of a relaxed and fun learning environment on second language learning. Turquoise International Journal of Educational Research and Social Studies 2(1). 9–17. https://eric.ed.gov/?id=ED606062Suche in Google Scholar

Sukartiningsih, Lestari & Tina Priyantin. 2010. Creating nursery rhymes for teaching English to children. Pedadodia 3(2). https://repository.unpak.ac.id/tukangna/repo/file/files-20180402000635.pdfSuche in Google Scholar

Sulistyowati, Ari, Teguh Sarosa & Martono Martono. 2014. Improving students’ vocabulary mastery by using puzzles. English Education 2(3). https://www.neliti.com/publications/59916/improving-students-vocabulary-mastery-by-using-puzzles#citeSuche in Google Scholar

Sun, Peijian Paul. 2020. Chinese as a second language multilinguals’ speech competence and speech performance: Cognitive, affective, and sociocultural Perspectives. Springer Nature.10.1007/978-981-15-6941-8Suche in Google Scholar

Syafrizal, Syafrizal & Haerudin Haerudin. 2018. The implementation of vocabulary building strategy in teaching English vocabulary to young learners. Jo-ELT (Journal of English Language Teaching) Fakultas Pendidikan Bahasa & Seni Prodi Pendidikan Bahasa Inggris IKIP 5(1). 40–48. https://e-journal.undikma.ac.id/index.php/joelt/article/view/229610.33394/jo-elt.v5i1.2296Suche in Google Scholar

Vélez, Jean Carlos López & Jhonny Saulo Villafuerte Holguin. 2021. Educational innovation into English as a foreign language practices for early children: Neuroeducation and the total physical response method. Education Quarterly Reviews 4(3). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=391672410.31014/aior.1993.04.03.346Suche in Google Scholar

Wang, Ling. 2020. Application of affective filter hypothesis in junior English vocabulary teaching. Journal of Language Teaching and Research 11(6). 983–987. http://doi.org/10.17507/jltr.1106.1610.17507/jltr.1106.16Suche in Google Scholar

Wang, Ying-Jian, Hui-Fang Shang & Paul Briody. 2011. Investigating the impact of using games in teaching children English. International Journal of Learning and Development 1(1). 127–141. http://doi.org/10.5296/ijld.v1i1.111810.5296/ijld.v1i1.1118Suche in Google Scholar

Wei, Li. 2008. Research perspectives on bilingualism and multilingualism. The Blackwell Guide to Research Methods in Bilingualism and Multilingualism. 1–17. http://doi.org/10.1002/978144430112010.1002/9781444301120.ch1Suche in Google Scholar

Werker, Janet & Krista Byers-Heinlein. 2008. Bilingualism in infancy: First steps in perception and comprehension. Trends in Cognitive Sciences 12(4). 144–151. https://www.cell.com/ajhg/abstract/S1364-6613(08)00056-910.1016/j.tics.2008.01.008Suche in Google Scholar

Zen, Evynurul Laily & Aulia Apriana. 2015. Contributing factors toward first and second language acquisition: A manifestation of Krashen’s affective filter hypothesis. Engaging Linguistics and Literature: Perspectives and Insights Beyond the Curriculum. 256–264.Suche in Google Scholar

Zhu, Wenyu. 2018. Using games to teach English in Chinese high school classroom. California: University of San Francesco Master’s Thesis. https://repository.usfca.edu/capstone/873/Suche in Google Scholar

Zibin, Aseel, Abdel Rahman Mitib Altakhaineh, & Elham Taha Hussein. 2020. On the comprehension of metonymical expressions by Arabic-speaking EFL learners: A cognitive linguistic approach. Topics in Linguistics 21(1). 45–61. https://doi.org/10.2478/topling-2020–000310.2478/topling-2020-0003Suche in Google Scholar

Zibin, Aseel, Abdel Rahman Mitib Altakhaineh, Dima Suleiman & Bassam Al Abdallat. 2023. The effect of using an Arabic assistive application on improving the ability of children with autism spectrum disorder to comprehend and answer content questions. Journal of Psycholinguistic Research 52(6). 2743–2762. https://link.springer.com/article/10.1007/s10936-023-10019-810.1007/s10936-023-10019-8Suche in Google Scholar


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/eujal-2023-0014).


Published Online: 2025-09-24
Published in Print: 2025-10-07

© 2025 the author(s), published by Walter de Gruyter GmbH, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Heruntergeladen am 1.2.2026 von https://www.degruyterbrill.com/document/doi/10.1515/eujal-2023-0014/html
Button zum nach oben scrollen