Impact of quiz-based interactive videos into personal learning environment on regulating e-portfolio design and learning engagement: An experimental study
Open accessAbstract
Since the COVID-19 pandemic, attention has shifted in an unprecedented way to online teaching. This has required innovative methods within online milieux to empower students learning following their own preferences and rhythm. Employing artificial intelligence (AI) represents a fruitful avenue for designing interactive videos in personal learning environments (PLE), consequently changing the face of e-learning. In this experimental design, a series of ADDIE (analysis, design, development, implementation and evaluation) framework-based and quiz-based interactive videos are developed on E-Portfolio instructional content. This study required students to interact with the videos remotely and answer short quizzes to check understanding. Students were required to provide the correct answers to proceed. If incorrect answers were provided, the content was repeated. The level of engagement and design skills were pre- and post-tested on an experimental group and a control group, each consisting of 32 students with a total of 64 at Mansoura University in 2019-2020. The results of the study indicate a statistically significant difference for deploying interactive videos on e-portfolio design skills and learning engagement. The study contributes to knowledge of how interactive quiz-based videos as a source of self-feedback for their level of attention, performance and comprehension. The limitation of the study is that it is a small scale and subsequent case studies could be useful. Further studies are recommended to verify the cognitive processes and performance self-assessment nexus.
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Interactive and Adaptive Content, such as quizzes embedded within videos, can ensure students understand concepts before progressing, helping maintain engagement.
“Interactive and Adaptive Content, such as quizzes embedded within videos, can ensure students understand concepts before progressing, helping to maintain engagement [159].”
From Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024) · cites this paper as [159]
Interactive videos with embedded quizzes adapt to learner performance, enhancing engagement in numeric tasks.
“Interactive videos with embedded quizzes adapt to learner performance, enhancing engagement in numeric tasks [159].”
From Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024) · cites this paper as [159]
Interactive videos with embedded quizzes that adapt according to performance enhance learner engagement and understanding.
“Interactive videos with embedded quizzes that adapt according to performance further enhance learner engagement and understanding [159].”
From Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024) · cites this paper as [159]
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References 27 · Cited by 3
Research works printed but not linked: 4
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- Authors
- Khalil, H., Al-Maawali, W., & El-Ghool, R.
- Affiliations
- Mansoura University (EG)
- University of Technology and Applied Sciences (OM)
- Venue
- Universal Journal of Educational Research
- Published
- 2022-04
- Volume
- 10
- Issue
- 4
- Pages
- 281-288
- ISSN
- 2332-3205 (ISSN-L)
- 2332-3213
- OpenAlex
- W4229378371
- Cited by
- 3
- References
- 27
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Universal Journal of Educational Research (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Education › Online and Blended Learning
- Keywords
- interactive video, quiz-based learning, personal learning environments, student engagement, ADDIE instructional design, self-assessment, self-feedback, online learning, artificial intelligence in education, COVID-19 remote teaching
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