Integrated telegram and web-based forum with automatic assessment of questions and answers for collaborative learning

Integrated telegram and web-based forum with automatic assessment of questions and answers for collaborative learning

We designed, developed and implemented an integrated Telegramand Web-based Forum capable of automatic thoughtfulness assessment of questionsand answers, using text mining and Natural Language Processing (NLP)methodologies, for collaborative learning. We trained and applied the RandomForest algorithm...

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Bibliographic Details
Main Authors: CHEONG, Michelle L. F., CHEN, Yun-Chen, DAI, Bing Tian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Q&A forum
Collaborative learning
Text mining
Natural language processing
Machine learning
Computer Sciences
Higher Education
Online Access:https://ink.library.smu.edu.sg/sis_research/4267
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Institution: Singapore Management University
Language: English
Description
Summary:We designed, developed and implemented an integrated Telegramand Web-based Forum capable of automatic thoughtfulness assessment of questionsand answers, using text mining and Natural Language Processing (NLP)methodologies, for collaborative learning. We trained and applied the RandomForest algorithm to provide instant thoughtfulness score prediction for the newposts contributed by the students, and prompted the students to improve ontheir posts, thereby invoking deeper learning. In addition, the platform isdesigned to ensure that students remain engaged on the platform. Our initialimplementation for a university course on spreadsheets modeling using Excel,shows some promising results which strengthened our belief that through theprocess of asking good questions, and providing good answers, students’learning can be improved beyond the traditional classroom, and beyondinstructor-student relationship.

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