A meaningful discovery learning environment for e-book learners

Wang, Jingyun; Ogata, Hiroaki; Shimada, Atsushi

Abstract

In this paper, we present a system framework making use of e-book logs for visualization learning support systems intended to provide meaningful learning environment for e-book learners. An ontology-based visualization support system, which supports not only meaningful reception learning but also meaningful discovery learning, is designed and developed to help e-book learners to effectively construct their knowledge frameworks. Three main functions are provided in this personalized visualization support system: (1) for any knowledge of E-books, the learner can get its e-book location information and a relation map including its relevance knowledge and their relations; (2) for any page range of any e-book, the learner can get a relation map including knowledge shown in those pages, their relevant KPs and their upper concepts; (3) for any learning period, the learner can check the knowledge map including the knowledge they had read, the relevance knowledge and their relations. Compared to the passive reception environment, in meaningful discovery learning environment learners are encouraged to actively locate new knowledge in their own knowledge framework and restructure existing knowledge by detecting hidden relations between relevant KPs through reflecting the attributes of acquired knowledge visually. Meanwhile the iterative procedure of confirmation and modification in their own relation map ensures that they check the logical consistency of their ideas and clear up misunderstandings.

Citation

Wang, J., Ogata, H., & Shimada, A. (2017, April). A meaningful discovery learning environment for e-book learners. Presented at 2017 IEEE Global Engineering Education Conference (EDUCON), Athens, Greece

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2017 IEEE Global Engineering Education Conference (EDUCON)
• Start Date: Apr 25, 2017
• End Date: Apr 28, 2017
• Online Publication Date: Jun 8, 2017
• Publication Date: 2017
• Deposit Date: Jul 15, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1158-1165
• Series ISSN: 2165-9567
• ISBN: 978-1-5090-5468-8
• DOI: https://doi.org/10.1109/educon.2017.7942995
• Public URL: https://durham-repository.worktribe.com/output/1139366