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

Publication Type

Conference Proceeding Article

Publication Date

12-2018

Abstract

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.

Keywords

Q&A forum, Collaborative learning, Text mining, Natural language processing, Machine learning

Discipline

Computer Sciences | Higher Education

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of IEEE International Conference on Teaching, Assessment and Learning for Engineering TALE 2018: Wollongong, Australia, 2018 December 4-7

ISBN

9781538665220

Identifier

10.1109/TALE.2018.8615137

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

https://doi.org/10.1109/TALE.2018.8615137

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