The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles

The lack of 21st-century skills of digital video knowledge and computational thinking (CT), as well as the inflexibility of a student to control the learning pace results in low-quality video being produced. Hence, the researcher aims to design, develop, and analyse the effects of integration betwee...

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Main Author: Ali, Wan Nor Ashiqin Wan
Format: Thesis
Language:English
Published: 2023
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Online Access:http://eprints.usm.my/60375/1/WAN%20NOR%20ASHIQIN%20BINTI%20WAN%20ALI%20-%20TESIS%20cut.pdf
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spelling my-usm-ep.603752024-04-15T03:12:15Z The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles 2023-07 Ali, Wan Nor Ashiqin Wan QA76.575 Multimedia systems and Internet The lack of 21st-century skills of digital video knowledge and computational thinking (CT), as well as the inflexibility of a student to control the learning pace results in low-quality video being produced. Hence, the researcher aims to design, develop, and analyse the effects of integration between learner-paced predefined segment and CT algorithmic thinking in "Digital Video Courseware (DVC)" development on knowledge achievement, self-efficacy, and motivation in students with different thinking styles. This research used a quasi-experimental design using a 2 x 3 factorial. This study's variables include (i) two treatment modes, "DVC: Learner-paced predefined segment (DVC-LS)" and "DVC: System predefined segment (DVC-SS)"; (ii) knowledge achievement, self-efficacy, and motivation; and (iii) thinking style, which includes legislative, executive, and judicial. The undergraduate students from "Malaysian Technical University Network (MTUN)" university are categorised into two groups which are mode 1: DVC-LS and mode 2: DVC-SS. Descriptive and inferential statistics (ANOVA and ANCOVA) were used to analyse the experimental data. The researcher found significant main and interaction effects of the learner-paced predefined segment on all dependent variables. This research broadens students' understanding of both the multidisciplinary realms of CT and digital video production and enhances their digital video knowledge, and self-efficacy. 2023-07 Thesis http://eprints.usm.my/60375/ http://eprints.usm.my/60375/1/WAN%20NOR%20ASHIQIN%20BINTI%20WAN%20ALI%20-%20TESIS%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Teknologi Pengajaran & Multimedia
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA76.575 Multimedia systems and Internet
spellingShingle QA76.575 Multimedia systems and Internet
Ali, Wan Nor Ashiqin Wan
The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles
description The lack of 21st-century skills of digital video knowledge and computational thinking (CT), as well as the inflexibility of a student to control the learning pace results in low-quality video being produced. Hence, the researcher aims to design, develop, and analyse the effects of integration between learner-paced predefined segment and CT algorithmic thinking in "Digital Video Courseware (DVC)" development on knowledge achievement, self-efficacy, and motivation in students with different thinking styles. This research used a quasi-experimental design using a 2 x 3 factorial. This study's variables include (i) two treatment modes, "DVC: Learner-paced predefined segment (DVC-LS)" and "DVC: System predefined segment (DVC-SS)"; (ii) knowledge achievement, self-efficacy, and motivation; and (iii) thinking style, which includes legislative, executive, and judicial. The undergraduate students from "Malaysian Technical University Network (MTUN)" university are categorised into two groups which are mode 1: DVC-LS and mode 2: DVC-SS. Descriptive and inferential statistics (ANOVA and ANCOVA) were used to analyse the experimental data. The researcher found significant main and interaction effects of the learner-paced predefined segment on all dependent variables. This research broadens students' understanding of both the multidisciplinary realms of CT and digital video production and enhances their digital video knowledge, and self-efficacy.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Ali, Wan Nor Ashiqin Wan
author_facet Ali, Wan Nor Ashiqin Wan
author_sort Ali, Wan Nor Ashiqin Wan
title The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles
title_short The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles
title_full The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles
title_fullStr The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles
title_full_unstemmed The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles
title_sort effects of segmenting and computational thinking in digital video courseware on knowledge achievement, self-efficacy and motivation among students with different thinking styles
granting_institution Universiti Sains Malaysia
granting_department Pusat Teknologi Pengajaran & Multimedia
publishDate 2023
url http://eprints.usm.my/60375/1/WAN%20NOR%20ASHIQIN%20BINTI%20WAN%20ALI%20-%20TESIS%20cut.pdf
_version_ 1804888925134651392