Wan Nor Ashiqin Wan Ali
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Preferred name
Wan Nor Ashiqin Wan Ali
Official Name
Wan Nor Ashiqin, Wan Ali
Alternative Name
Ali, Wan Nor Ashiqin Wan
Wan Ali, Wan Nor Ashiqin
Wan Ali, W.N.A
Main Affiliation
Scopus Author ID
49960948500
Researcher ID
IXN-2942-2023

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The development and feasibility testing of learner-paced digital video courseware

2023 , Wan Nor Ashiqin Wan Ali , Wan Ahmad Jaafar Wan Yahaya

Since the COVID-19 epidemic across the world happen, educators are enthusiastic to use technology to aid students in their learning. The young adults specifically the university students are becoming more and more dependent on digital technology thanks to simple access through technology devices. The learning environments among university students are drastically change due to the COVID-19 epidemic which has highlighted the importance of digital video in teaching and learning. This paper aims to highlight the development of digital video learning courseware and the findings of its pilot testing. Researcher conducted pilot testing in investigating the use of digital video and its effects on students’ knowledge achievement, computational thinking (CT) self-efficacy perception, and perceived motivation. The results of pilot test indicated that the digital video learning courseware is a valid and reliable learning courseware for providing digital video knowledge to university students. This article describes the development of the courseware as well as the pilot testing.

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A systematic review of CTML segmenting principle on computational thinking

2020 , Wan Nor Ashiqin Wan Ali , Wan Ahmad Jaafar Wan Yahaya

This paper reviews systematically articles and journals in the past and current studies on Cognitive Theory of Multimedia Learning (CTML) segmenting principle and computational thinking. This paper specifically conducted to (i) identify articles that discussed computational thinking (CT) and segmenting principle, (ii) classify the various research domain and context are discussed in previous studies related to segmenting on CT, (iii) synthesis the results that are reported by relevant studies on CT and segmenting principle. The steps taken for these systematic reviews are adapted from PriSMA (2009). Out of 231 articles retrieved, 22 of them were identified for analytical purposes in tandem with the observed theme under keywords searched “computational thinking AND segmenting” and then, those articles are thoroughly reviewed. Our study revealed that the use of CT is most discussed on the programming and science, technology, engineering, and mathematics (STEM) subjects. Furthermore, this paper pointed out and highlighted that most of the reviewed articles are not related to the segmenting principle even though they are listed as the results of the keywords searched.

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A systematic review of learning theory on computational thinking

2020 , Wan Nor Ashiqin Wan Ali , Wan Ahmad Jaafar Wan Yahaya

This paper reviews systematically theory used in the past studies on computational thinking, learning theory used in past studies on computational thinking and explore how these learning theories on computational thinking can be improved for future studies conducted in Malaysia. Today, computational thinking is not just an ability that only focuses on computer scientist and being adapted by them, but an ability for everyone needs. It is because computational thinking is changing the way we think and become an integral part of our daily life. 18 out of 126 articles were identified for analytical purposes in tandem with the observed theme under keywords searched “theory AND computational thinking, theory on computational thinking” and 2 out of 4 articles were identified under keywords searched “learning theory AND computational thinking, learning theory on computational thinking”. This paper aims to study what are the recognised learning theory being studied and focused on computational thinking scope research areas. Further exploration on the type of research theory, type of intervention and respondent as well as technology being used or developed are discussed in details in this paper. The study findings highlight that constructivist learning theory is the well-known learning theory being used in computational thinking research area which focuses on primary and secondary school students in worldwide.

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