Home > Archive > 2016 > Volume 6 Number 11 (Nov. 2016) >
IJIET 2016 Vol.6(11): 884-889 ISSN: 2010-3689
DOI: 10.7763/IJIET.2016.V6.810

How to Design and Apply Interactive Digital Educational TV Programs Based on the ADDIE Model

Zixun Hua

Abstract—The aim of this research is to give an interactive learning resource to undergraduate. At first, there are three research questions: how to 1) design, 2) apply, and 3) test the interactive educational TV program were put forward which is based on the literature review on cognitive load theory, educational television, and interactive digital educational TV program. Alone with the 5 steps of ADDIE model, this research has designed the “Camera basic skills” interactive educational TV program for undergraduate students of SCNU. During the development and application phase, the Interactive Navigation Process (INP) has been chosen to apply the developed interactive TV program. Finally, there is an evaluation index system to test the effective for learning about this interactive educational TV program. After the analysis, the data indicated that the interactive educational TV program has achieved good performance on the three aspects (instruction, interactivity, and technique) of evaluation index system. So that the conclusion that “Camera basic skills” interactive educational TV program is effective for undergraduate students on the three aspects of instruction, interactivity, and technique can be found.

Index Terms—ADDIE, digital educational TV program, interactive navigation process, design research.

Zixun Hua is with the College of Educational Information Technology, South China Normal University, Guangdong, Guangzhou, 510631, China (e-mail: 252408933@qq.com).

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Cite: Zixun Hua, "How to Design and Apply Interactive Digital Educational TV Programs Based on the ADDIE Model," International Journal of Information and Education Technology vol. 6, no. 11, pp. 884-889, 2016.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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