Towards a chatbot supported self-regulated learning (SRL) recommender system in online learning activities
Grant Data
Project Title
Towards a chatbot supported self-regulated learning (SRL) recommender system in online learning activities
Principal Investigator
Professor Hew, Khe Foon Timothy
(Principal Investigator (PI))
Duration
60
Start Date
2023-01-01
Amount
5155380
Conference Title
Towards a chatbot supported self-regulated learning (SRL) recommender system in online learning activities
Keywords
Online learning, Recommender system, Chatbot, Student engagement, Self-regulated learning
Discipline
Education: Research on Teaching & Learning
Panel
Humanities & Social Sciences (H)
HKU Project Code
RFS2223-7H02
Grant Type
RGC Research Fellow Scheme (RFS) 2022/23
Funding Year
2022
Status
On-going
Objectives
(a) To propose and test various algorithm theories to develop a recommender system that can automatically provide personalized guidance for learners at different SRL phases. These include algorithms relating to data mining, and recommendation.
(b) To develop an AI-based chatbot and integrate it into the SRL recommender system. The chatbot will interact with the participants by asking questions and offering personalized suggestions to each individual.
(c) To evaluate the effects of the chatbot supported SRL recommender system on learners’ SRL skills; behavioral engagement, emotional engagement, cognitive engagement; sense of social presence; perceived usefulness; and perceived ease of use.