[updated]142nd Colloquium of the Center for Computational Sciences

142nd Colloquium

Title: AI for Personalized Education
Speaker: Prof. Mukesh Mohania (IIIT Delhi, India)
18 June 2024
Time: 14:30-15:30 (updated)
Venue: SB911-2  (updated)
Language: English

Online courses and learning systems have gained tremendous popularity over the last few years. While their ease of access and availability make them a very useful medium for knowledge sharing and learning, they do not keep the learners and their learning abilities in mind. The “one size fits all” approach to learning content and the question paper does not work in a large virtual classroom consisting of diverse students with different skill profiles, learning styles, aptitude and capabilities. In a traditional classroom, teachers who interact closely with students are in a position to evaluate the pace and depth of the curriculum being taught and can also suggest learning content to students not being able to cope with the general classroom teaching. Such suggestions and guidance are absent in current online learning systems. In this talk, we aim to address how AI can help in (1) making content smarter through learning content analytics and automatic content tagging, (2) generating the diverse, but semantically related, questions for evaluating the students’ knowledge, (3) assisting in short answers evaluation, and finally (4) understanding the students’ learning style/capacity through learning data analytics, thus enabling the adaptive and personalized education on Big Data platform.

Coordinator : AMAGASA Toshiyuki