MetaCQ: An etextbook platform with an Open Learner Model to support Metacognition

TL;DR

MetaCQ is an innovative e-textbook platform integrating an open learner model and chatbot-driven MCQs to support metacognitive skills and personalized feedback, aiming to enhance self-regulated learning.

Contribution

The paper introduces MetaCQ, a novel e-textbook platform combining ITS, OLM, and chatbots to monitor and support learners' metacognition and study behaviors.

Findings

Implemented three adaptive feedback methods for chatbots.

Evaluated MCQ relevancy and difficulty through ThinkAloud study.

No conclusive method identified for assessing study outcomes.

Abstract

This study has proposed an E-textbook platform, MetaCQ, which integrates ITS and OLM to enable users to monitor their study progress. The platform adopts a chatbot to generate MCQs and manage learners' study data and their learning model. Additionally, it regulates help-seeking behaviour and provides immediate feedback tailored to users' learning processes. Three adaptive feedback methods have been implemented to construct chatbots, examining the MCQs' relevancy and difficulty through the ThinkAloud study to evaluate the most effective method of measuring the user's study performance. However, no valid result demonstrates which method can significantly assess learners' study outcomes based on the current experiment, which requires further studies to improve it.