Volume 7 Number 2 (Jun. 2017)
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IJEEEE 2017 Vol.7(2): 132-145 ISSN: 2010-3654
doi: 10.17706/ijeeee.2017.7.2.132-145

A New Approach for Delivering e-Learning Complex Courses in Indonesia

Sumenge Tangkawarouw Godion Kaunang, Tsuyoshi Usagawa
Abstract—Efficacy of delivery methods can be compared by studying human memory emphasizing how information is processed. The aim of this research is to identify factors which are influenced by methods of complex e-learning course delivery. Compilation of cognitive load theory and learning ability of Moodle survey plugin aids in analyzing evidence. Two plug-ins – browser extensions which, in this case, were used to monitor user usage – called COLLES (constructivist on-line learning environment survey) and ATTLS (attitudes toward thinking learning survey) were instrumental in measuring user perceptions. Both surveys aided stakeholders (students, instructors, and system managers) in measuring human interaction in order to identify optimal methods. Results suggest that interactivity and connected-knowing approaches are factors that influenced optimal design for complex e-learning course delivery in an Indonesia environment. Our research also opens possibilities towards future research on the influence of gender on learning.

Index Terms—E-learning, the complex e-learning course, method of delivering, Indonesia.

Sumenge Tangkawarouw Godion Kaunang is with University of Sam Ratulangi, Kampus Unsrat, Manado, Indonesia (Email: odikaunang@hicc.cs.kumamoto-u.ac.jp).
Tsuyoshi Usagawa is with Graduate School of Science & Technology, Kumamoto University, Kumamoto, Japan.

Cite: Sumenge Tangkawarouw Godion Kaunang, Tsuyoshi Usagawa, "A New Approach for Delivering e-Learning Complex Courses in Indonesia," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 7, no. 2, pp. 132-145, 2017.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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