The nature of statistical learning theory
The nature of statistical learning theory
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
SmartTutor: an intelligent tutoring system in web-based adult education
Journal of Systems and Software
Using data mining as a strategy for assessing asynchronous discussion forums
Computers & Education
A bottom-up merging algorithm for Chinese unknown word extraction
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Operations Research: An Introduction (8th Edition)
Operations Research: An Introduction (8th Edition)
International Journal of Learning Technology
Guest editorial vapnik-chervonenkis (vc) learning theory and its applications
IEEE Transactions on Neural Networks
FIE'09 Proceedings of the 39th IEEE international conference on Frontiers in education conference
Information Sciences: an International Journal
Hi-index | 12.05 |
Problem-based learning (PBL) has been implemented for years in lots of countries and the achieved performance is plausible. However, the implementation of PBL course often needs a lot of human resources; the instructors often need offering instructions to the learners intensively. As the modern computer science and the Internet gains wide popularity around the world, e-learning is taken by the learners as an important study aid and thereby lightens the burden of the instructors. In this research, we incorporate the PBL activity into an open software e-learning platform, Moodle, and a learning diagnosis tool is added in the platform to alleviate the loading of the instructors. The learners' transcripts posted on discussion board and chatting room are first preprocessed by the learning parameter extraction module to truly reflect the learners' planning on the solutions to the designated problem. The extracted parameters are further fed into a classification algorithm to examine the quality of the learners' suggestions and some appropriate feedback will be issued to the learners/instructor if needed. The experimental results show that the text mining and machine learning techniques used in this work are effective in automatically providing useful feedback for the learners to progress through the ill-structured problem solving.