• May 14, 2019 News!IJIET Vol. 7, No. 9-Vol. 8, No. 8 have been indexed by EI (Inspec).   [Click]
  • Apr 15, 2019 News![Call for Papers] Special Issue on Education, Research and Innovation   [Click]
  • Jul 26, 2019 News!Vol. 9, No. 9 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689 (Online)
    • Abbreviated Title: Int. J. Inf. Educ. Technol.
    • Frequency: Monthly
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
CQUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2019 Vol.9(5): 362-365 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.5.1227

Utilization of Learners’ Metacognitive Experiences to Monitor Learners’ Cognition States in e-Learning Platforms

Othmar Mwambe and Eiji Kamioka
Abstract—Optimal learning environment highly depends on aptitude treatment interaction. Even though ICT (Information and Communication Technologies) advancement supports knowledge sharing platforms including e-learning and multimedia, designing of learning content in such platforms relies on the aptitude treatment interaction to sustain a learner-centric environment. However, achieving the optimal learning environment in e-learning platform is still a challenge due to variation of learner's skills and abilities to both learning process and learning content. This makes difficulties in monitoring learner’s cognition states and quality of learning content. To overcome the difficulties, in this study, a learner-centric metacognitive experiences based approach has been proposed (e-learning Prior Knowledge Assessment System-ePKAS), ePKAS is supporting the detection and evaluation of learners’ prior knowledge profiles in turn to enable monitoring of learners’ cognition states and adaptation of cognitive states in to e-learning platforms based on visual contact. The study has investigated students’ reactions to multimedia content based on their past experiences. The results show that students respond more attentively and accurately (93%) to the learning content that is closely related to their past experiences. Scope of this study based on visual contact in order to support the involvement of people with hearing impairment in e-learning platforms.

Index Terms—E-learning, cognition, aptitude treatment interaction, metacognitive experiences, memory retrieval, multimedia, long-term memory, cognitive structure.

The authors are with the Shibaura Institute of Technology, Japan (e-mail: mg17007@shibaura-it.ac.jp, kamioka@shibaura-it.ac.jp).

[PDF]

Cite: Othmar Mwambe and Eiji Kamioka, "Utilization of Learners’ Metacognitive Experiences to Monitor Learners’ Cognition States in e-Learning Platforms," International Journal of Information and Education Technology vol. 9, no. 5, pp. 362-365, 2019.

Copyright © 2008-2019. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net