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DOI: 10.14569/IJACSA.2020.0110373
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Analysis of Web Content Quality Factors for Massive Open Online Course using the Rasch Model

Author 1: Wan Nurhayati Wan Ab Rahman
Author 2: Hazura Zulzalil
Author 3: Iskandar Ishak
Author 4: Ahmad Wiraputra Selamat

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 3, 2020.

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Abstract: The lack of understanding among content providers towards the quality of MOOC motivates the development of several MOOC quality models. However, none was focused on the web content from the perspective of content providers or experts despite the facts that their views are important particularly in the development phase. MOOCs learners and instructors definitely understand the functional external quality, but content providers have better understanding to the internal qualities, which is required during the development phase. The initial quality model for MOOC web content based on 7C’s of Learning Design and PDCA model for continuity have been proposed, consisted of nine categories and 54 factors. This research focuses on the validation towards the proposed model by content providers and experts to provide systematic evidence of construct validity. This involved two main processes; content validity test and survey on acceptability. The content validity test was conducted to confirm the agreeability of proposed categories and factors among respondents. The Dichotomous Rasch model was utilized to explain the conditional probability of a binary outcome, given the person's agreeability level and the item's endorsability level. Subsequently, the survey on acceptability was conducted to obtain confirmation and verification from the experts group pertaining on MOOC web content quality factors. Rasch Rating Scale model was used since it specifies the set of items, which share the same rating scale structure. The usage of the Rasch Model in instrument development generally ease variable measurement by converting the nonlinear raw data to linear scale, while assists researchers in tackling fitness validation and other instrumentation issues like person reliability and unidimensionality. This paper demonstrates the strengths of applying Rasch Model in construct validation and instrument building, which provides a strong foundation for the model adaptation as a methodological tool.

Keywords: Web content; quality model; hierarchical model; Rasch Model; rating scale; survey reliability

Wan Nurhayati Wan Ab Rahman, Hazura Zulzalil, Iskandar Ishak and Ahmad Wiraputra Selamat, “Analysis of Web Content Quality Factors for Massive Open Online Course using the Rasch Model” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110373

@article{Rahman2020,
title = {Analysis of Web Content Quality Factors for Massive Open Online Course using the Rasch Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110373},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110373},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {3},
author = {Wan Nurhayati Wan Ab Rahman and Hazura Zulzalil and Iskandar Ishak and Ahmad Wiraputra Selamat}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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