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Metacognition and learning transfer under uncertainty

  • Modi Al-Moteri ORCID logo EMAIL logo
Veröffentlicht/Copyright: 12. Dezember 2023

Abstract

Objectives

This study examined the possible correlation between metacognition and learning experience transfer of nursing students after engaging in an urgent and cognitively demanding clinical situation.

Methods

This is a one-group post-test- only study design in which participants engaged in an emergency care scenario simulation and completed the Meta-Cognitive Awareness Scale – Domain Specific (MCAS-DS).

Results

Study results revealed that participants’ metacognitive awareness is significantly correlated to the learning transfer (p=0.0001) and GPA (p=0.006). There is also a positive correlation between learning transfer and GPA (p=0.04), clinical settings-based training experience (p=0.021) and metacognitive confidence (p=0.0001).

Conclusions

This study may imply that academic achievement can be used as a potential screening tool to identify students requiring metacognitive training. It may also imply that metacognitive abilities can be enhanced indirectly through considering factors that may influence the transfer of learning such as increasing the hours of clinical training.

Introduction

Humans sometimes have difficulty making accurate and logical decisions. This is due to the inherent limitation of human cognition in terms of the ability of an individual to comprehend and comprehensively respond to, a large amount of information available in a given situation [1]. This weakness may lead to erroneous thoughts that can interfere with rational decision making. The development of metacognitive skills can help overcome some of these weaknesses. Indeed, decision-making theories suggest that rational clinical decisions stem from a careful assessment of the available information and rely on a thoughtful evaluation of the options available for selection [2]. For decades, nursing decision-making studies had focused consistently on the characteristics of the situation (e.g., complexity, ambiguity) and the situation’s surrounding conditions (e.g., stress, time constraints), while the role of metacognition (e.g., awareness of self-abilities, prior knowledge) had largely been overlooked [3], [4], [5]. Metacognition, was once considered separate from the cognitive skills [6]. However, recently, investigators have acknowledged the importance of metacognition, and more studies on the independent role of metacognition in decision-making are now being conducted [7, 8].

Metacognition refers to individuals’ abilities to reflect upon their own actions, thoughts, and perceptions. It explains what enables an individual who has been taught skills in a particular context to retrieve these skills in a similar but new context [9, 10]. However, the emergency environment does not always offer the circumstances to act thoughtfully. Indeed, nurses are required to immediately comprehend the emergency situation and quickly decide upon an action where no to little margin for error is allowed [11]. When actions must be taken quickly and without the availability of all the necessary information the alternative method is to solve the problem, based on previous outcomes with similar cases. The ability of nurses to adapt strategies from previously encountered or learned situations, and transfer these strategies to new contexts is one of the most important skills, not only at workplace but also personally. Transfer of learning or experience refers to the ability to retrieve previous knowledge, skills, and competencies obtained from training and/or experience to the workplace [12, 13].

A distinction between two notions of knowledge transfer (i.e., earlier static and dynamic transfer) was proposed by [14]. Earlier static hypothesizes that the transfer concept is as simple as transferring knowledge obtained from one situation to another. Meanwhile, the concept of dynamic transfer conceptualizes transfer as the act of individuals in situations in which they do not have sufficient knowledge. While the two notions of transfer are different, they have in common the process of how students use knowledge or metacognitive skills in order to understand and act in a particular situation. Transfer is thought to be linked to the ability to use knowledge and metacognitive skills [13], thus, access to previous knowledge is a prerequisite for effective transfer.

The larger concept of transfer was originally introduced by cognitive and behavioral scientists to explore the actual extent to which past experiences impact the performance in a new situation [15]. Reflection of individuals on what they have learned from the past and generating new solutions from existing knowledge and skills helps with learning transfer [16]. This implies the importance of reflection. Without reflection, individual actions might be subjected to the superficial aspects of the situation, leading to errors [2]. However, wrong actions could be avoided if the individual spends time to think and reflect upon the situation and to analyze it carefully. To do this, metacognitive competence is required.

Two aspects of metacognition were identified: knowledge about cognition and regulation of cognition [17]. Metacognitive knowledge is the stored knowledge in long-term memory that one retrieves when thinking about an issue, whereas metacognitive regulation is the ability of the individual to regulate one’s thought perception [17]. Metacognitive knowledge can be declarative; it deals with knowledge about one’s abilities and skills, or strategies; or procedural knowledge which involves the use of these abilities or skills one has gained in various situations. Studies in cognitive psychology suggest that metacognitive abilities are strongly associated with problem-solving, memory, and comprehension [18, 19]. In the clinical practice context, investigators have continuously demonstrated that metacognition skills can help nurses to comprehend, evaluate and adjust their own thinking process in response to practice demands [8, 17]. It also can help nurses to monitor, justify and solve clinical problems [17] and, consequently to improve self-efficacy, clinical decision-making, and critical thinking ability [8, 20, 21].

Literature has identified active simulated training approaches as a key player in knowledge and skills transfer, since training in this context is target oriented [22], [23], [24], [25]. Such simulated clinical activities can enhance students’ abilities to relate their prior knowledge, skills and experiences to the current simulated situation, and obtain new knowledge and metacognition skills, that they can transfer to a real clinical setting [22]. Although the concept of knowledge transfer in simulation remains debatable, transferring knowledge from the simulated environment to a real-life clinical setting, is influenced by variables such as simulation design, students’ metacognitive skills and prior knowledge [22, 26].

Students need to be prepared with appropriate knowledge that is not limited to a specific environment or a particular situation, if nursing students are to adapt to the varying demands of their clinical practice. While the decades long debate of the theory–practice gap is well acknowledged, educators often give the impression that transfer between simulation and clinical practice is relatively uncomplicated for students [27]. It is likely that the ease by which transfer between simulation and clinical practice is achieved has been over simplified. Few investigators have acknowledged how metacognition can serve as a route to support transfer of learning to clinical settings [28], [29], [30]. Indeed, nursing students and educators are often unaware of the importance of learning transfer in relation to metacognition [30]. Therefore, this study aimed to investigate a possible relationship between metacognition and learning transfer in nursing students after engaging in an urgent and cognitively demanding clinical situation. Examining the relationship between metacognition and learning transfer in an interaction simulation scenario is appropriate to produce concrete results that may provide an understanding of students’ abilities. For nurses to successfully manage an urgent and cognitively demanding clinical situation, well-developed metacognitive skills are required [6, 31].

Methods

A one-group, post-test-only study design, where research data was measured after exposing participants to a specific intervention, was used in this study. The study was conducted in Saudi Arabia, in a western region nursing school between, June and July 2022.

Participants

All nursing students who were in their fourth year of study and enrolled in critical care nursing course (n=150) were considered eligible and were invited to participate in the study. Of the 150 eligible nursing students, 87 (58 %) agreed to participate.

Data collection tools

The survey was divided into four sections including demographic data, learning transfer, metacognitive confidence and Meta-Cognitive Awareness Scale – Domain Specific Questionnaire (MCAS-DS). Demographic data consisted of age, Grade Point Average (GPA), and items related to clinical settings-based training, particularly, participants were asked to determine ‘How often per week did they participate in clinical training

To assess participants’ learning transfer, participants were instructed to rate their opinion about the extent they were able to use both the declarative knowledge and procedural knowledge in deciding upon the severity of the patient’s condition, using a 5-point Likert scale in which 1=Never, 2=Seldom, 3=Sometimes 4=Often, and 5=Always. Declarative knowledge was defined for the students as facts and information about a topic such as knowing about the emergency department triage scoring system used to rate patient condition severity (e.g., the Canadian Triage and Acuity Scale – CTAS) and the indicators for each level. CTAS is a tool used by emergency department (ED) staff to prioritize patient care based on a list of patients’ presenting signs and symptoms. The CTAS system is a five-level triage scale: (level I=resuscitation, level II=emergent, level III=urgent, level IV=less urgent, and level V=non-urgent) [32]. Meanwhile procedural knowledge was defined as the knowledge about the how to apply the triage CTAS scoring system.

Assessment of participants’ metacognitive confidence was carried out by asking participants to rate three key statements using a 5-point Likert scale in which 1=not at all confident, 2=slightly not confident, 3=somewhat confident, 4=fairly confident, and 5=completely confident. The statements included rating their confidence on the correctness of their decision about the severity of the patient’s condition at arrival time, triage time and prior to examination by doctor. Their decisions were based on the level of the CTAS.

To assess participants’ perception of their metacognitive abilities within the clinical training, the Meta-Cognitive Awareness Scale – Domain Specific (MCAS-DS) designed by [19] was adapted according to the context of the clinical scenario. The parameters of metacognition awareness cover five aspects which involve: engagement in self-monitoring (2-items) own ability (3-items); response speed to critical clinical issues (3-items)’ setting alternative solutions (3-items); and, requisite problem-solving resources (4-items) [6, 33], [34], [35]. Participants were instructed to rate 15 key items using a 5-point Likert scale in which 1=strongly disagree and 5=strongly agree. MCAS-DS was associated with an emergency-care scenario simulation to provide the participants the opportunity to actively regulate their thinking processes and practice reflection on action and the decision taken [29]. Table 1 shows the result of the tool test reliability.

Table 1:

Test of reliability of study tools by Cronbach’s Alpha.

Tool Cronbach’s alpha n of items
Metacognitive awareness 0.853 15

Materials

As a requirement for the critical care and emergency nursing course, a set of an emergency care scenarios are designed to be delivered to the fourth-year nursing students to equip them with the necessary skills in how to manage critical cases. A full body patient simulator (HAL®) was utilized to conduct the emergency care scenarios. The patient simulator (HAL®) physiological features allow educators to pre-program a number of simulated conditions. HAL is easy to use with wireless control and documentation.

Procedure

The scenario started with an unwell 58-year-old male patient arriving the emergency department. Although the patient is hemodynamically stable, his presenting problem suggests a more serious acute process. Scenario-specific cues of electrolyte imbalances – missed dialysis – and the risk for deterioration if not appropriately detected, were clearly integrated. The students were informed that although they will receive the patient as a group of nine to 11 students, but they must work individually. They were also instructed that they have only 2 min to decide upon the severity of the patient’s condition and score patient CTAS Level at the arrival time, triage time and prior seen by the ED physician, using predesigned form.

In 15 groups, nursing students received a verbal handover for the patient condition at the ER arrival time from the clinical instructor: “the patient is a 58-year-old male, complains of general weakness. He denies dizziness, nausea and vomiting.” During the triage process and while students were recording the patients’ vital signs, the patient verbalized that he is four days without haemodialysis. As the scenario unfolded, and while the students were determining the CTAS Level of the patient for the emergency department physician examination, there was a marked deterioration in vital signs and the patient unexpectedly collapses, indicating the need to initiate a resuscitation. Feedback was given to all students’ groups simultaneously in the debriefing room.

For students who agreed to participate in the study, demographic data was collected prior the intervention and immediately post the intervention students were instructed to:

  1. complete the MCAS-DS questionnaire;

  2. rate their confidence in their own decision regarding the severity of the patient’s condition, using predesigned form;

  3. rate their perception about the extent they were able to use previous knowledge and skills

Participants were informed that the data would be confidential and used only for research purposes and the development of the course and that participation in this study would not affect their marks.

Statistical analysis

All data were collected, tabulated and statistically analyzed using IBM Corp Released 2015. IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp. Descriptive data were expressed as means and standard deviation. Percents of categorical variables were compared using Chi square test and Spearman correlation coefficient were calculated to assess the relationship between various study variables. Values near to one indicated a strong correlation and values near 0 indicated a weak correlation. Multivariate linear regression was used to describe data and to explain the relationship between one dependent continue variable and one or more independent variables All tests were two sided. A p-value <0.05 was considered statistically significant, p-value <0.001 was considered statistically highly significant; and, p-value ≥0.05 was considered statistically insignificant.

Results

Demographic profile

Eighty-seven participants completed the surveys. Participants age ranged from 20 to 32 years old with mean age of 22.8 (SD=1.7). Female participants constituted 51.7 and 48.3 % were males. The participants’ GPA ranged from 1.7 to 3.96 with mean 3.09 (SD=0.52). Around 29 % (n=25) of participants wrongly assigned CTAS on ‘arrival time’. Meanwhile, 51 % (n=44) and 5 % (n=4) wrongly assigned CTAS on ‘triage time’ and ‘prior-seen by ED doctor, respectively, indicating their inability to recognize potential deteriorating cues.

Metacognitive

As shown in Table 2, the average score for the MCAS-DS was 33.9 (SD=5.7), indicating a moderate level of metacognition. The mean and standard deviations for awareness of engagement in self-monitoring was 4.7 (SD=1.8), own ability was 7.2 (SD=2.7), responding speed/time was 6.3 (SD=2.8), alternative solution was 7.1 (SD=2.1), and requisite problem-solving resources was 8.6 (SD=2.2).

Table 2:

Frequency distribution of participants’ metacognitive level and its dimensions (n=87).

Dimensions awareness of Low Moderate High Mean ± SD Range
n. % n. % n. %
Engagement in self-monitoring 14 16.1 23 26.4 50 57.5 1.8 ± 4.7 0–8
Own ability, 10 11.5 25 28.7 52 59.8 7.2 ± 2.7 0–12
Responding speed/time, 21 24.2 33 37.9 33 37.9 6.3 ± 2.8 1–12
Alternative solutions 6 6.9 41 47.1 40 46 7.1 ± 2.1 1–12
Requisite problem-solving resources) 16 18.4 43 49.4 28 32.2 8.6 ± 2.2 4–14
Metacognitive 6 6.9 54 62.1 27 31.0 33.9 ± 5.7 20–50

Relationship between MA-I and different variables

Table 3 shows no significant relationship between the total score of MCAS-DS and participants’ age, gender and clinical settings-based training experience. However, there was a significant relationship between total score of MCAS-DS, and the perception about the extent they reflected upon previously learned declarative knowledge (p=0.0001) and procedural knowledge (p=0.004). Further, although 69 of participants wrongly assigned a CTAS Level for the patients at the triage time, there was a significant relationship between total score of MCAS-DS and being confidant of the correctness of their decision regarding CTAS Level at the triage time (p=0.008).

Table 3:

Influence of participants’ profile and perception of learning transfer and confidence level on metacognition during the management of the clinical emergency scenario (n=87).

Variables Metacognitive Score
χ 2 p-Value
Age 1.64 0.44
Gender 3.86 0.15
Frequency of participating in clinical training per week 3.66 0.89
Learning transfer – while managing the patient, you reflected upon previously learned:
Declarative knowledge 28.4 0.0001a
Procedural knowledge 22.4 0.004a
Metacognitive confidence – you were confident of the correctness of your decision regarding the severity of the patient’s condition (CTAS level) at:
Arrival time 9.1 0.33
Triage time 20.7 0.008a
Prior- examination by ED doctor 7.2 0.52
  1. χ2 Chisquare testa. p>0.05 no significant.

Correlation coefficients between MA-I score and different variables

Spearman correlation coefficient was calculated to assess the relationship between the various study variables (Table 4) There are significant correlations between MCAS-DS and learning transfer (p=0.0001) and GPA (p=0.006). Meanwhile, there are significant correlations between learning transfer and GPA (p=0.04), frequency of clinical settings-based training (p=0.021) and metacognitive confidence (p=0.0001).

Table 4:

Correlation matrix between metacognitive awareness score and learning transfer on different variables.

Variables Metacognitive awareness score Learning transfer
r p-Value r p-Value
Learning transfer 0.417a 0.0001
Age −0.148 0.172 −0.171 0.113
Academic achievement – GPA 0.290a 0.006 0.22b 0.04
Frequency of participating in clinical training per week 0.06 0.578 0.247b 0.021
Metacognitive confidence (confident on own decision) 0.135 0.211 0.399a 0.0001
  1. (r) correlation coefficient. aCorrelation is significant at the 0.01 level. bCorrelation is significant at the 0.05 level.

Discussion

In the current study to assess metacognitive awareness of nursing students, the results revealed a moderate level of metacognitive awareness. Some current studies have shown that nursing students have poor to moderate levels of metacognitive skills [8, 10]. Ye et al. [10] surveyed 384 undergraduate nursing students using College Student Metacognitive Ability Scale and found undergraduate nursing students achieved moderate levels of metacognitive scores. Another study conducted by [8] using the Metacognitive Ability Scale found of 3,000 vocational nursing students in both junior and senior years, showed that the overall metacognitive ability of nursing students was low.

Other studies showed that nurses with higher levels of metacognitive abilities were are able to apply knowledge and expertise to a clinical situation to make decisions and eventually provide better patient care [36, 37]. Correspondingly, nursing students with higher metacognitive skills performed better [38]. It is acknowledged that improving nursing students’ metacognitive skills enhances knowledge transfer and decision-making [39, 40].

In this study, the results further demonstrated a significant positive correlation between participants’ metacognitive awareness and academic achievements reflected by a high GPA (p=0.006). In this regard, there is a growing body of evidence that there is a strong relationship between students’ metacognitive abilities and their academic achievement [13, 41]. Such a relationship may provide educators the appropriate tool to screen students and determine those in need of direct instruction related to metacognition skills. This may become especially important in large classes where tracking students is difficult.

The current study results also showed a strong and positive correlation between metacognitive awareness and learning transfer (p=0.0001). This result supported the knowledge transfer theory of [27, 42] analyses of metacognition in nursing education. Transfer learning is the process of using previously learned knowledge and skills in a new situation [43]. Some studies showed a positive significant relationship between thinking about a clinical learning experience and thinking about the transfer of learning [16], supporting the notion that metacognition may heighten the transferring of knowledge and skills. Other studies highlighted the difficulties encountered by nursing students that interfere with transferring their theoretical knowledge into clinical practices [44]. Academic educators should ensure that their nursing students are equipped with cognition skills necessary for clinical practice. While metacognition skills represent a promising approach to facilitate learning transfer and may have wider implications for nursing education and clinical practice, further studies are needed to determine which other factors are involved [45].

Transfer learning in this study had a positive correlation with the frequency of having clinical training experience (p=0.021). Training in clinical settings allows students to actively integrate the knowledge and skills gained from classrooms with the learning variables of the clinical environment around them to create unforgettable rich and effective experiences [2]. Indeed, clinical practice forces students to go through an ongoing process of cognitive planning, evaluation, and monitoring to organize knowledge and thoughts for practical application.

Finally, transfer learning also had a positive relationship with the confidence of participants in their decisions regarding the patient condition (p=0.0001). Most recent studies about knowledge transfer have discussed the role of metacognitive awareness in nursing students’ self-confidence with respect to clinical decision-making [7]. Previous work has shown that transfer learning is a major influence on decision-making [46]. However, in the current study this may indicate the presence of overconfidence bias in decision-making, based on the results that the accuracy of assigning CTAS Level for the patients at the triage was potentially incorrect. This overconfidence may represent a lack of metacognitive abilities in participants participating in the current study, and may justify the lack of correlation between the metacognitive awareness and confidence.

Implications

The study results may raise opportunities for future research. Further research, such as a longitudinal and comparative study, will be necessary to enhance the study findings. For example, according to the current study findings, there is a positive correlation between knowledge transfer and metacognition awareness. Further study could elaborate on this point, providing important information in how these two constructs develop and interact in students over time. This could help in identifying the factors shaping students’ metacognition skills that are specific for nursing profession.

The study findings may also have pedagogical implications. Increasing clinical training hours through enhancing student autonomy, exploring additional forms of clinical training or developing their own training plan of education are suggested. Clinical settings require students to use their metacognitive abilities to solve problems, recall information, and think critically. It is expected that students are able to apply previously acquired knowledge and skills to clinical situations. A foundation for promoting recall and transfer of knowledge using metacognitive skills and specific for the profession of nursing has not been established yet.

Finally, the ability of nursing students to successfully solve complex clinical problems represents key metacognitive competencies for students’ practice success and beyond. However, nursing students may not understand the importance of metacognitive skills and may not be guided to develop or use these skills. For students to perform effectively in clinical practice, they need to reflect on their process of learning, be competent thinkers, and know when to retrieve and apply previously learned knowledge, experiences and skills to clinical situations for effective decision making. To develop such skills the use of high-fidelity simulation scenarios and standardized patients may help assist in obtaining desired outcomes.

Limitations

The current study has several methodological limitations that can impact the generalizability of the results. First, the study has used a one-group, post-test-only design, and therefore it is impossible to fully establish causality. The design could be improved by considering the use of control and intervention groups or a pre-test and post-test design in future studies. Second, the study used a non-randomized sampling method which may have impacted the interpretation of the results. Third, this study included only fourth year nursing students from one institution, through convenience sampling. This sample may not fully represent the general population of nursing students and should be addressed in future studies.

Conclusions

Based on the current study result measures, the overall metacognitive ability of nursing students who participated was of a moderate level. Positive correlation was found between academic achievement and both metacognition and knowledge transfer. Further, there is significant correlation between learning transfer and frequency of clinical settings-based training. This study may imply that academic achievement may be used as a potential screening tool to identify students requiring metacognitive training and that metacognitive abilities can be enhanced indirectly through considering factors that may influence the transfer of learning such as increasing the hours of clinical training. Further research using multi-centre approaches and designs are required to validate the current study findings.


Corresponding author: Modi Al-Moteri, PhD, RN, Nursing College, Medical and Surgical Department, Taif University, P.O. Box 11099, Al-Taif 21944, Western Region, Saudi Arabia, Phone: +966545011200, E-mail:

Funding source: Taif University

Award Identifier / Grant number: Unassigned

Acknowledgments

The author would like to acknowledge Deanship of Scientific Research, Taif University for funding this work. The author would like to express her gratitude to the Simulation Center for giving their time and valuable resources to complete the study. The author would also like to express her sincere appreciation to her clinical instructors in critical care unit for their significant help.

  1. Research ethics: University Ethics Review Committee (UERC) deemed the study exempt from review.

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: Author has accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: Author states no competing interests.

  5. Research funding: None declared.

  6. Data availability: The data that support the findings of this study are available within the article and on request from the corresponding author.

References

1. Slagter, HA, Lutz, A, Greischar, LL, Francis, AD, Nieuwenhuis, S, Davis, JM, et al.. Mental training affects distribution of limited brain resources. PLoS Biol 2007;5:e138. https://doi.org/10.1371/journal.pbio.0050138.Suche in Google Scholar PubMed PubMed Central

2. Donati, A, Iannello, P, Perucca, V, Antonietti, A. Decision making in the emergency care unit: a study on meta-cognitive awareness. Emerg Med J 2012;8:18–25. https://doi.org/10.4081/ecj.2012.3.18.Suche in Google Scholar

3. Gunnarsson, BM, Stomberg, MW. Factors influencing decision making among ambulance nurses in emergency care situations. Int Emerg Nurs 2009;17:83–9. https://doi.org/10.1016/j.ienj.2008.10.004.Suche in Google Scholar PubMed

4. Hedberg, B, Larsson, US. Environmental elements affecting the decision‐making process in nursing practice. J Clin Nurs 2004;13:316–24. https://doi.org/10.1046/j.1365-2702.2003.00879.x.Suche in Google Scholar PubMed

5. Reay, G, Rankin, JA. The application of theory to triage decision-making. Int Emerg Nurs 2013;21:97–102. https://doi.org/10.1016/j.ienj.2012.03.010.Suche in Google Scholar PubMed

6. Kuiper, RA, Pesut, DJ. Promoting cognitive and metacognitive reflective reasoning skills in nursing practice: self‐regulated learning theory. J Adv Nurs 2004;45:381–91. https://doi.org/10.1046/j.1365-2648.2003.02921.x.Suche in Google Scholar PubMed

7. Bektas, I, Bektas, M, Ayar, D, Akdeniz Kudubes, A, Sal, S, Selekoglu OK, Y, et al.. The predict of metacognitive awareness of nursing students on self‐confidence and anxiety in clinical decision‐making. Psychiatr Care 2021;57:747–52. https://doi.org/10.1111/ppc.12609.Suche in Google Scholar PubMed

8. Jin, M, Ji, C. The correlation of metacognitive ability, self‐directed learning ability and critical thinking in nursing students: a cross‐sectional study. Nurs Open 2021;8:936–45. https://doi.org/10.1002/nop2.702.Suche in Google Scholar PubMed PubMed Central

9. Kuhn, D, Dean, DJr. Metacognition: a bridge between cognitive psychology and educational practice. Theory Into Pract 2004;43:268–73. https://doi.org/10.1207/s15430421tip4304_4.Suche in Google Scholar

10. Ye, J, Wang, JL, Zhang, Y, Shuai, HQ. Correlation analysis and influencing factors between learning burnout and metacognitive ability of nursing undergraduates in university. Nurs Res 2018;32:2418–23. https://doi.org/10.12102/j.issn.1009-6493.2018.15.021.Suche in Google Scholar

11. Horn, D, Lindström, M, Rosengren, K. Managing a stressful work environment through improved teamwork-a qualitative content analysis of nurses working environment within emergency care. Int Arch Nurs Health Care 2018;4:1–9. https://doi.org/10.23937/2469-5823/1510109.Suche in Google Scholar

12. Maginnis, C, Croxon, L. Transfer of learning to the nursing clinical practice setting. RRH 2010;10:334–40. https://doi.org/10.22605/rrh1313.Suche in Google Scholar

13. Perry, J, Lundie, D, Golder, G. Metacognition in schools: what does the literature suggest about the effectiveness of teaching metacognition in schools? Educ Rev 2019;71:483. https://doi.org/10.1080/00131911.2018.1441127.Suche in Google Scholar

14. Prawat, RS. Promoting access to knowledge, strategy, and disposition in students: a research synthesis. Rev Educ Res 1989;59:1–41. https://doi.org/10.3102/00346543059001001.Suche in Google Scholar

15. Di, Vesta FJ. The cognitive movement and education. In Historical foundations of educational psychology. Boston, MA: Springer US; 1987:203–33 pp. https://doi.org/10.1007/978-1-4899-3620-2_11.Suche in Google Scholar

16. Scharff, L, Draeger, J, Verpoorten, D, Devlin, M, Dvorakova, LS, Lodge, JM, et al.. Exploring metacognition as a support for learning transfer. Teach Learn Inq 2017;5. https://doi.org/10.20343/teachlearninqu.5.1.6.Suche in Google Scholar

17. Medina, MS, Castleberry, AN, Persky, AM. Strategies for improving learner metacognition in health professional education. Am J Pharmaceut Educ 2017;81:78–90. https://doi.org/10.5688/ajpe81478.Suche in Google Scholar PubMed PubMed Central

18. Ackerman, R, Thompson, VA. Meta-reasoning: monitoring and control of thinking and reasoning. Trends Cognit Sci 2017;21:607–17. https://doi.org/10.1016/j.tics.2017.05.004.Suche in Google Scholar PubMed

19. Song, JH, Loyal, S, Lond, B. Metacognitive Awareness Scale, Domain Specific (MCAS-DS): assessing metacognitive awareness during raven’s progressive matrices. Front Psychol 2021;11:607577. https://doi.org/10.3389/fpsyg.2020.607577.Suche in Google Scholar PubMed PubMed Central

20. Chen, JH, Björkman, A, Zhou, JH, Engström, M. Self–regulated learning ability, metacognitive ability, and general self-efficacy in a sample of nursing students: a cross-sectional and correlational study. Nurse Educ Pract 2019;37:15–21. https://doi.org/10.1016/j.nepr.2019.04.014.Suche in Google Scholar PubMed

21. Zhou, M, Wu, JJ, Xu, CY. Correlation between metacognitive ability of nursing students in higher vocational colleges and confiden ce level of nursing clinical decision making. Nurs Rehabilitation 2018;17:29–32. https://doi.org/10.3969/j.issn.1671-9875.2018.08.007.Suche in Google Scholar

22. Alt-Gehrman, P. Nursing simulation and transfer of knowledge in undergraduate nursing programs: a literature review. Nurs Educ Perspect 2019;40:95–8. https://doi.org/10.1097/01.nep.0000000000000398.Suche in Google Scholar

23. Al Moteri, MO. Self-directed and lifelong learning: a framework for improving nursing students’ learning skills in the clinical context. Int J Nurs Educ Scholarsh 2019;16:20180079. https://doi.org/10.1515/ijnes-2018-0079.Suche in Google Scholar PubMed

24. Al-Moteri, M. Implementing active clinical training approach (ACTA) in clinical practice. Nurse Educ Pract 2020;49:102893. https://doi.org/10.1016/j.nepr.2020.102893.Suche in Google Scholar PubMed

25. Robinson, BK, Dearmon, V. Evidence-based nursing education: effective use of instructional design and simulated learning environments to enhance knowledge transfer in undergraduate nursing students. J Prof Nurs 2013;29:203–9. https://doi.org/10.1016/j.profnurs.2012.04.022.Suche in Google Scholar PubMed

26. Nielsen, K, Norlyk, A, Henriksen, JH. Nursing students´ learning experiences in clinical placements or simulation-a qualitative study. J Nurs Educ Pract 2019;9:32–43. https://doi.org/10.5430/jnep.v9n1p32.Suche in Google Scholar

27. Lauder, W, Reynolds, W, Angus, N. Transfer of knowledge and skills: some implications for nursing and nurse education. Nurse Educ Today 1999;19:480–7. https://doi.org/10.1054/nedt.1999.0338.Suche in Google Scholar PubMed

28. Josephsen, JM. A qualitative analysis of metacognition in simulation. J Nurs Educ 2017;56:675–8. https://doi.org/10.3928/01484834-20171020-07.Suche in Google Scholar PubMed

29. Kosior, K, Wall, T, Ferrero, S. The role of metacognition in teaching clinical reasoning: theory to practice. Educ Health Prof 2019;2:108. https://doi.org/10.4103/ehp.ehp_14_19.Suche in Google Scholar

30. Waryold, JM, Holliday, K, Rodriguez, E. Metacognition in nurse practitioner students: how nurse educators can best serve their students. J Appl Soc Psychol 2021;51:1170–5. https://doi.org/10.1111/jasp.12770.Suche in Google Scholar

31. Ehsani, SR, Cheraghi, MA, Nejati, A, Salari, A, Esmaeilpoor, AH, Nejad, EM. Medication errors of nurses in the emergency department. J Med Ethics Hist Med 2013;6:11.Suche in Google Scholar

32. Alquraini, M, Awad, E, Hijazi, RE. Reliability of Canadian emergency department triage and acuity scale (CTAS) in Saudi Arabia. Int J Emerg Med 2015;8:1–4. https://doi.org/10.1186/s12245-015-0080-5.Suche in Google Scholar PubMed PubMed Central

33. Bell, K, Boshuizen, HP, Scherpbier, A, Dornan, T. When only the real thing will do: junior medical students’ learning from real patients. Med Educ 2009;43:1036–43. https://doi.org/10.1111/j.1365-2923.2009.03508.x.Suche in Google Scholar PubMed

34. Oh, YJ, Kang, HY. Metacognition, learning flow and problem solving ability in nursing simulation learning. J Korean Acad Fundam Nurs 2013;20:239–47. https://doi.org/10.7739/jkafn.2013.20.3.239.Suche in Google Scholar

35. Rim, D, Shin, H. Development and assessment of a multi-user virtual environment nursing simulation program: a mixed methods research study. Clin Simul Nurs 2022;62:31–41. https://doi.org/10.1016/j.ecns.2021.10.004.Suche in Google Scholar

36. Bae, J, Lee, J, Choi, M, Jang, Y, Park, CG, Lee, YJ. Development of the clinical reasoning competency scale for nurses. BMC Nurs 2023;22:1–8. https://doi.org/10.1186/s12912-023-01244-6.Suche in Google Scholar PubMed PubMed Central

37. Banning, M. Clinical reasoning and its application to nursing: concepts and research studies. Nurse Educ Pract 2008;8:177–83. https://doi.org/10.1016/j.nepr.2007.06.004.Suche in Google Scholar PubMed

38. Asadzandi, S, Mojtahedzadeh, R, Mohammadi, A. What are the factors that enhance metacognitive skills in nursing students? A systematic review. Iran J Nurs Midwifery Res 2022;27:475. https://doi.org/10.4103/ijnmr.ijnmr_247_21.Suche in Google Scholar PubMed PubMed Central

39. Rivas, SF, Saiz, C, Ossa, C. Metacognitive strategies and development of critical thinking in higher education. Front Psychol 2022;13:913219. https://doi.org/10.3389/fpsyg.2022.913219.Suche in Google Scholar PubMed PubMed Central

40. Zumbach, J, Rammerstorfer, L, Deibl, I. Cognitive and metacognitive support in learning with a serious game about demographic change. Comput Hum Behav 2020;103:120–9. https://doi.org/10.1016/j.chb.2019.09.026.Suche in Google Scholar

41. De Boer, H, Donker, AS, Kostons, DD, Van der Werf, GP. Long-term effects of metacognitive strategy instruction on student academic performance: a meta-analysis. Educ Res Rev 2018;24:98–115.10.1016/j.edurev.2018.03.002Suche in Google Scholar

42. Josephsen, J. Critically reflexive theory: a proposal for nursing education. Adv Nurs 2014;2014:1–7. https://doi.org/10.1155/2014/594360.Suche in Google Scholar

43. Rutherford-Hemming, T. Learning in simulated environments: effect on learning transfer and clinical skill acquisition in nurse practitioner students. J Nurs Educ 2012;51:403–6. https://doi.org/10.3928/01484834-20120427-04.Suche in Google Scholar PubMed

44. Günay, U, Kılınç, G. The transfer of theoretical knowledge to clinical practice by nursing students and the difficulties they experience: a qualitative study. Nurse Educ Today 2018;65:81–6. https://doi.org/10.1016/j.nedt.2018.02.031.Suche in Google Scholar PubMed

45. Goman, C, Patterson, C, Moxham, L, Harada, T, Tapsell, A. Alternative mental health clinical placements: knowledge transfer and benefits for nursing practice outside mental healthcare settings. J Clin Nurs 2020;29:3236–45. https://doi.org/10.1111/jocn.15336.Suche in Google Scholar PubMed

46. Tung, YC, Xu, Y, Yang, YP, Tung, TH. The effects of learning transfer on clinical performances among medical staff: a systematic review of randomized controlled trials. Front Public Health 2022;10:874115. https://doi.org/10.3389/fpubh.2022.874115.Suche in Google Scholar PubMed PubMed Central

Received: 2023-04-19
Accepted: 2023-09-22
Published Online: 2023-12-12

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Literature Reviews
  2. Factors associated with mental health among undergraduate nursing students early in the COVID-19 pandemic: an integrative review
  3. Experiences of new tenure-track PhD-prepared faculty: a scoping review
  4. A systematic review of videoconferencing in health professions education: the digital divide revisited in the COVID-19 era
  5. Research Articles
  6. Effectiveness of educational video on standardized nursing language for nursing home nurses
  7. Exploring entry pathways towards nurse practitioner program admissions: a rapid review
  8. Online learning challenges as experienced by nursing students during the COVID-19 pandemic at a higher education institution in Gauteng, South Africa
  9. Clinical judgment in new nurse graduates: identifying the gaps
  10. Metacognition and learning transfer under uncertainty
  11. Perceived knowledge on the ICNP© in undergraduate nursing students: the development of a scale
  12. Psychometric evaluation of critical incident video instruments for nursing education
  13. Understanding the impostor phenomenon in graduate nursing students
  14. E-learning modules to enhance student nurses’ perceptions of older people: a single group pre-post quasi-experimental study
  15. Self-perceived competence and its related factors in nursing students at graduation: the role of self-efficacy
  16. Stress, depression, and anxiety among undergraduate nursing students in the time of a pandemic
  17. Decision-based learning for teaching arterial blood gas analysis
  18. The impact of university-based education on nursing professional identity: a qualitative examination of students’ experiences
  19. “You have to strive very hard to prove yourself”: experiences of Black nursing students in a Western Canadian province
  20. Stressors and learned resourcefulness in baccalaureate nursing students: a longitudinal study
  21. Faculty experiences of teaching internationally educated nurses: a qualitative study
  22. Changes in grit and psychological capital at the time of major crisis: nursing students’ perseverance, resources, and resilience
  23. Improving practicing nurses’ knowledge of the cognitive impairment, continence, and mobility needs of older people
  24. A multi-layered approach to developing academic written communication skills for nursing students
  25. Jordanian nursing students’ engagement and satisfaction with e-learning during COVID-19 pandemic
  26. Barriers and facilitators to enrolling in nursing programs as perceived by male students: a qualitative study in the United Arab Emirates
  27. Nursing students’ achievement emotions in association with clinical practicums and alternative learning
  28. A multisite transition to nursing program: an innovative approach to facilitate incoming nursing students’ academic success
  29. Understanding the student’s experience of community health nursing simulations
  30. Collaborative online international learning in undergraduate nursing education: from inspiration to impact
  31. Educational Process, Issue, Trend
  32. Implementing an LGBTQ+ interprofessional simulation with undergraduate nursing students
  33. Dialogues on nursing curriculum and pedagogy: a critical planning activity for global educational collaboration
  34. Understanding poverty through virtual simulation: implications for student clinical practice
  35. Engaging the creative heArts of nurse educators: a novel conceptual model
  36. Resilience in nursing education: an evolutionary concept analysis
  37. A review and comparison of post registration midwifery curriculum in Sri Lanka with global standards
  38. Steps toward a resilient future nurse workforce
  39. Perspectives of student incivility in the online learning environment and social media platforms
  40. Development and implementation of a novel peer mentoring program for undergraduate nursing students
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