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11. Adaptive workplace learning assistance

  • Miloš Kravčík
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Personalized Human-Computer Interaction
Ein Kapitel aus dem Buch Personalized Human-Computer Interaction

Abstract

Workplace learning has been part of our everyday reality since a long time, but at present, it has become more important than ever before. New technological opportunities can radically change not only formal, but also informal (unintentional) learning, typical for the workplace. Nowadays companies face a new challenge, which is the transition towards Industry 4.0. It is a complex process that concerns both executives and employees. Therefore, it is important to find solutions that make it easier for both sides. This change is accompanied by numerous re-qualification requirements, which demand a radical improvement of workplace learning and on-the-job training. Recent developments enable a more precise understanding of users’ needs, which can lead to better personalization of learning experiences. The effectiveness and efficiency of training and work processes can be improved through wearable technologies and augmented reality. Information technology should support the whole spectrum of educational methodologies, including personalized guidance, collaborative learning, and training of practical skills, as well as meta-cognitive scaffolding. Here we provide a reflective view on the former progress of adaptive workplace learning assistance (especially in the European context) and then point out several prospective approaches that aim to address the current issues. These should lead to innovative context-sensitive and intelligent adaptive assistance systems that support learning and training at the workplace.

Abstract

Workplace learning has been part of our everyday reality since a long time, but at present, it has become more important than ever before. New technological opportunities can radically change not only formal, but also informal (unintentional) learning, typical for the workplace. Nowadays companies face a new challenge, which is the transition towards Industry 4.0. It is a complex process that concerns both executives and employees. Therefore, it is important to find solutions that make it easier for both sides. This change is accompanied by numerous re-qualification requirements, which demand a radical improvement of workplace learning and on-the-job training. Recent developments enable a more precise understanding of users’ needs, which can lead to better personalization of learning experiences. The effectiveness and efficiency of training and work processes can be improved through wearable technologies and augmented reality. Information technology should support the whole spectrum of educational methodologies, including personalized guidance, collaborative learning, and training of practical skills, as well as meta-cognitive scaffolding. Here we provide a reflective view on the former progress of adaptive workplace learning assistance (especially in the European context) and then point out several prospective approaches that aim to address the current issues. These should lead to innovative context-sensitive and intelligent adaptive assistance systems that support learning and training at the workplace.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Introduction V
  3. Contents IX
  4. List of Contributing Authors XI
  5. Part I: Foundations of user modeling
  6. 1. Theory-grounded user modeling for personalized HCI 1
  7. 2. Opportunities and challenges of utilizing personality traits for personalization in HCI 31
  8. Part II: User input and feedback
  9. 3. Automated personalization of input methods and processes 67
  10. 4. How to use socio-emotional signals for adaptive training 103
  11. 5. Explanations and user control in recommender systems 133
  12. Part III: Personalization approaches
  13. 6. Tourist trip recommendations – foundations, state of the art, and challenges 159
  14. 7. Pictures as a tool for matching tourist preferences with destinations 183
  15. 8. Towards personalized virtual reality touring through cross-object user interfaces 201
  16. 9. User awareness in music recommender systems 223
  17. 10. Personalizing the user interface for people with disabilities 253
  18. 11. Adaptive workplace learning assistance 283
  19. Index 303
https://doi.org/10.1515/9783110552485-011

Kapitel in diesem Buch

  1. Frontmatter I
  2. Introduction V
  3. Contents IX
  4. List of Contributing Authors XI
  5. Part I: Foundations of user modeling
  6. 1. Theory-grounded user modeling for personalized HCI 1
  7. 2. Opportunities and challenges of utilizing personality traits for personalization in HCI 31
  8. Part II: User input and feedback
  9. 3. Automated personalization of input methods and processes 67
  10. 4. How to use socio-emotional signals for adaptive training 103
  11. 5. Explanations and user control in recommender systems 133
  12. Part III: Personalization approaches
  13. 6. Tourist trip recommendations – foundations, state of the art, and challenges 159
  14. 7. Pictures as a tool for matching tourist preferences with destinations 183
  15. 8. Towards personalized virtual reality touring through cross-object user interfaces 201
  16. 9. User awareness in music recommender systems 223
  17. 10. Personalizing the user interface for people with disabilities 253
  18. 11. Adaptive workplace learning assistance 283
  19. Index 303
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Heruntergeladen am 7.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783110552485-011/html
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