Aspects of intelligent learning systems : KES2023 Invited Session

Thank you!

Our invited session was successfull! Research papers will be avaiable at Elsevier ScienceDirect. See you next year!

Manuela-Andreea Petrescu, Emilia-Loredana Pop, Tudor- Dan Mihoc, Students’ interest in knowledge acquisition in Artificial Intelligence, https://doi.org/10.1016/j.procs.2023.10.090.
Hiroya Suno, Nobuaki Ohno, Virtual Hydrogen, a virtual reality education tool in physics and chemistry, https://doi.org/10.1016/j.procs.2023.10.219.
Hayato Sezaki, Yanran Lei, Yushan Xu, Satori Hachisuka, Shin'ichi Warisawa, Kayoko Kurita, Online Technology-Based Microteaching in Teacher Education: A Systematic Literature Review, https://doi.org/10.1016/j.procs.2023.10.240.
Taisei Matsuo, Kenji Matsuura, Hironori Takeuchi, Awareness and learning for initial configuration of an webserver, https://doi.org/10.1016/j.procs.2023.10.243.
Marcin Szczepański, Jacek Marciniak, Application of a fuzzy controller in adaptive e-learning content used to evaluate student activity, https://doi.org/10.1016/j.procs.2023.10.244.
Mahmoud Mohamed Hussien Ahmed, Mohammad Nehal Hasnine, Improving essential knowledge and self-efficacy in computers network course: The potential of chatbots, https://doi.org/10.1016/j.procs.2023.10.388.
Osamu Takaki, Nobukuni Hamamoto, Atsuko Takefusa, Shigetoshi Yokoyama, Kento Aida, Implementation of Anonymization Algorithms for Log Data Analysis on a Cloud-Based Learning Management System, https://doi.org/10.1016/j.procs.2023.10.373.

Aim and Topics

In addition to e-learning using LMS, intelligent and adaptive learning systems includes next generation digital learning environment have been applied to variety of educational fields. Online learning using such systems has the potential to realize optimized learning for learners regardless of time and distance. This invited session focuses on various aspects of the intelligent and adaptive learning systems, including how various learning systems interact with learners/educators in capturing rich interaction data, pre-process and analyzing them using cutting edge analytical methods such as knowledge discovery, natural language processing, data mining, deep learning, AI, etc. for changing the dynamics of physical and social environments. This invited session explores intelligent and affective aspects such as knowledge representation, automatic feedback generation, AI bias in learning systems, multimedia annotation, innovativeness in e-learning etc. to design new tools that could solve complex social and educational problems.

Specific topics of interest include but not limited to:

Intelligent and adaptive learning systems
Technology enhanced learning and its theoretical foundation
Course management in online and virtual learning
Usage of Learning Management System (LMS) for teaching and learning practices
AI in education
Practice in specific educational contexts (such as language learning, STEM, disaster prevention) using ICT
Learning analytics and evidence-based education
Usage, security, ethics and privacy policy of educational data
Knowledge clustering in education
Development of educational tools
Curriculum and instructional design
ICT usage to improve pedagogies
Gamification and gamified learning environments
Adaptive support for learning, models of learners, diagnosis and feedback
Modelling of motivation, metacognition and affective aspects of learning
Recommendation systems
Complex system architecture
Adaptation of AR/VR/XR in reshaping education
AI-assisted innovative technologies in educational contexts
Intelligent interfaces
Models and techniques for educational data mining

Contact

Chair: Prof. Dr. Hiroshi Ueda (Hosei University, Japan)
Co-Chair: Associate Prof. Dr. Mohammad Nehal Hasnine (Hosei University, Japan); Associate Prof. Dr. Hiroya Suno (Hosei University, Japan); Associate Prof. Mr. Hisashi Hatakeyama (Tokyo Institute of Technology, Japan)
Main Contributing Research Centres: Research Center for Computing and Multimedia Studies, Hosei University, Japan; Center for Innovative Teaching and Learning, Tokyo Institute of Technology, Japan
Email: media-kesis2023@ml.hosei.ac.jp

Aspects of intelligent learning systems

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Aim and Topics

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