Title
SCORMAdaptiveQuiz - Implementation of Adaptive e-Learning for Moodle.
Abstract
One of the advantages of online learning, which is evolving at a rapid rate, is that it can be standardized. However, it also has a disadvantage in that online content lacks adaptivity. In this study, we aim to improve online content adaptivity, and develop an extension plugin for Sharable Content Object Reference Model (SCORM) for Moodle: SCORMAdaptiveQuiz (https github, com/uedahir4/SCORMAdabtiveQuiz), which can provide the adaptive presentation feature in accordance with the pre-knowledge of the learner as reflected from a pre-test created by the Moodie quiz module. Data were collected from the productive operation of the module for a year in the security awareness education online course "Learn with Princess Rin Rin: Cyberethics" provided in Japanese, English, Chinese, and Korean and hosted on GakuNinMoodle (https://security-learning.jp/), which is widely used in universities in Japan. The result of the data analysis revealed the effect of the SCORMAdaptiveQuiz module: An improved access rate was obtained in the 2016 academic year than in 2015 for all four languages. In addition, a significant improvement was seen in the results of the final test of the Korean and Chinese course in comparison with that of the 2015 academic year. On the other hand, a slight decrease in the score of the final test was observed for the English and Japanese courses. We argue that the SCORMAdaptiveQuiz plugin is useful in providing an adaptive online course in accordance with the knowledge of the learner. (C) 2018 The Authors. Published by Elsevier Ltd.
Year
DOI
Venue
2018
10.1016/j.procs.2018.07.223
Procedia Computer Science
Keywords
Field
DocType
SCORM,Moodle,e-learning
Security awareness,E learning,Reference model,Computer science,Academic year,Cyberethics,Online course,Artificial intelligence,Plug-in,Multimedia,Disadvantage,Machine learning
Conference
Volume
ISSN
Citations 
126
1877-0509
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Horoshi Ueda133.25
Masako Furukawa200.68
Kazutsuna Yamaji32913.88
Motonori Nakamura411930.15