Personalized and adaptive learning environments have the power to reach learners in new ways. Emerging technologies such as concepts, tools, innovations and advancements, utilized in diverse educational environments to fulfil the learning needs of a heterogeneous learning community by implementing alternative, open modes of learning and instruction, may enhance traditional teaching as well as web-based instruction. In this line, aims of such emerging technologies in the area of personalized and adaptive learning, may include adaptive content delivery & learner navigation, individual/group/community learner reflection, alternative personalised assessment/feedback, learner communication/participation in collaborative activities. Both the technological and educational perspectives of such technologies are in the core of this track.
Moreover, research in the field of learning analytics highlights the need to capture and analyze what happens in the learning/teaching process in order to clarify the factors that affect the learning performance. To this end, the exploitation of interaction and discourse data is increasingly appealing for insights that underpin sense-making by learners and instructors leading to various approaches from just opening these data to the stakeholders of the educational process (learners/instructors/educational organization) in a meaningful way until providing useful advice or appropriate adaptations initiated by the learning environment.
The track focuses on emerging technologies supported personalized and adaptive learning. The aim of this track is to provide a worldwide forum, where all the participants can share their research knowledge and ideas on the recent and latest research and map out the directions for future research collaborations. In this track, a wide spectrum of research or practical topics relating to personalized and adaptive learning will be explored and discussed. We especially welcome interdisciplinary research.
Main topics of interest that is expected to be addressed in this track (although not limited to), are the following:
- Learning and teaching with adaptive and personalized learning environments
- Personalized learning design
- Personalized learning/teaching analytics
- Intelligent learner and group modeling
- Adaptive learning methods and techniques
- Adaptive collaborative learning
- Assessment in adaptive learning environments
- Personalized mobile learning applications
- Adaptive educational games
- Adaptivity and personalization in MOOCs
- Mobile and ubiquitous learning for enhancing adaptive and personalized learning
- Adaptive and personalized learning for enhancing learning motivation
- Augmented Reality (AR)/Virtual Reality (VR)-based feedback for enhancing personalized and adaptive learning
- Kyparissia Papanikolaou, School of Pedagogical & Technological Education, Greece
- Sheng-Yi Wu, National Pingtung University, Taiwan
- Demetrios Sampson, University of Piraeus
- Vania Dimitrova, University of Leeds
- George Magoulas, Birkbeck, University of London, UK
- Charalambos Karagiannidis, University of Thessaly, Greece
- Antonija Mitrovic, University of Christchurch, New Zealand
- Marcus Specht, Open University The Netherlands
- Irene-Angelica Chounta, Senior Researcher, University of Tartu, Estonia
- Jelena Jovanovic, University of Belgrade, Belgrade, Serbia
- Simone de Sousa Borges, Federal University of Technology – ParanĂ¡, Brazil
- Cheng-Hung Wang, National University of Kaohsiung, Taiwan
- Huei-Tse Hou, National Taiwan University of Science and Technology, Taiwan
- Chia-Ching Lin, National Kaohsiung Normal University, Taiwan
- Chih-Ming Chu, National Ilan University, Taiwan
Paper submission: https://easychair.org/conferences/?conf=sete2019