Topics
The topics of interest of this workshop include but are not limited to the following:
- Motivation, benefits, and issues of personalization of learning
- Approaches for the personalization of inclusive learning environments
- Approaches for the personalization of responsive learning environments
- Approaches for the personalization of interactive learning environments
- Techniques and Methods
- Results and Metrics
- Social and Educational Issues
- Use of Pedagogic Conversational Agents
- Affective Computing
Questions
The higher-level research question to be addressed in the workshop is the following: Which approaches can be followed to personalize learning environments?
Nevertheless, each Learning Café is focused on specific research questions, as follows.
Learning Café 1 - APLEC
Organizers: Diana Perez-Marin, Susan Bull and Noboru Matsuda
- Which pedagogic agents are currently taking into account information of the learner model to guide the dialogue?
- What does an effective conversation between the student and the agent look like?
- How could a learner model be used to adapt the pedagogical agent to the student to provide adaptive emotional support?
- How should the effect of such an adaptation be measured?
- How could the affect of a pedagogical agent improve a student’s motivation?
Learning Café 2 - ROLE
Organizers: Milos Kravcik, Alexander Nussbaumer and Effie Law
- How can a whole learning environment or its components be personalized to the needs of learners?
- What can be personalized and for which purposes?
- Which models and techniques can be used for personalization?
- How to adjust the user control of personalization and adaptation to his or her needs?
- How can adaptive support and guidance for personalization be provided?
- Which monitoring or tracking methods can be used to automatically create learner profiles?
Learning Café 3 – TUMAS-A:
Organizers: Olga C. Santos and Jesus G. Boticario
- Which scenarios for personalized inclusive e-learning (PIL) systems can be identified?
- What user features are required to support PIL scenarios?
- Which computational methods in PIL exist?
- What evaluation approaches can be used in PIL scenarios?
- Which developing methodologies are to be used in PIL?
- How current standards can be used/adapted/extended to cope with PIL?
- Which multi-modal and context-based interaction issues impinge on PIL?
- What are the most appropriate support and guidance approaches to provide adaptation in PIL?