Student-Created Screencasts: A Constructivist Response to the Challenges of Generative AI in Education.
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| Title: | Student-Created Screencasts: A Constructivist Response to the Challenges of Generative AI in Education. |
|---|---|
| Authors: | Wong, Adam1 (AUTHOR), Tsang, Ken2 (AUTHOR), Lin, Shuyang1,2 (AUTHOR), Chan, Lai Lam1,2 (AUTHOR) lailam.chan@speed-polyu.edu.hk |
| Source: | Education Sciences. Dec2025, Vol. 15 Issue 12, p1701. 22p. |
| Subject Terms: | *Constructivism (Education), *Generative artificial intelligence, *Visual aids, *Discourse, *Computer programming education, *Authentic learning, *Attitude (Psychology) |
| Abstract: | Screencasts, which are screen-capture videos, have been created by teachers delivering instruction or feedback, reflecting a teacher-centered model of learning. Based on the constructivist principle, this study explores an innovative attempt to position students as screencast creators, who must demonstrate their knowledge by and explain their work in the screencast. This innovative approach has the potential to promote authentic learning and reduce dependence on generative artificial intelligence (GenAI) tools for completing assignments. However, it is uncertain whether students will have positive attitudes towards this new form of assessment. From 2022 to 2025, the authors used screencasts as assessments in computer programming and English language subjects. Survey results were obtained from 203 university students and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that students generally hold positive attitudes toward creating screencasts, with perceived usefulness for future applications exerting the strongest influence on acceptance, followed by perceived performance benefits and ease of use. It is also found that gender, discipline, and study mode did not significantly alter these relationships, although senior students perceived screencast production as more effortful. These findings suggest that student-created screencasts can serve as an effective, student-centered alternative to traditional written assessments. The research results imply that student-created screencasts have the potential to help students develop their skills in an increasingly GenAI-pervasive academic environment. [ABSTRACT FROM AUTHOR] |
| Copyright of Education Sciences is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 190519321 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Student-Created Screencasts: A Constructivist Response to the Challenges of Generative AI in Education. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wong%2C+Adam%22">Wong, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tsang%2C+Ken%22">Tsang, Ken</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Shuyang%22">Lin, Shuyang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chan%2C+Lai+Lam%22">Chan, Lai Lam</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> lailam.chan@speed-polyu.edu.hk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Education+Sciences%22">Education Sciences</searchLink>. Dec2025, Vol. 15 Issue 12, p1701. 22p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Constructivism+%28Education%29%22">Constructivism (Education)</searchLink><br />*<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Visual+aids%22">Visual aids</searchLink><br />*<searchLink fieldCode="DE" term="%22Discourse%22">Discourse</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+programming+education%22">Computer programming education</searchLink><br />*<searchLink fieldCode="DE" term="%22Authentic+learning%22">Authentic learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Attitude+%28Psychology%29%22">Attitude (Psychology)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Screencasts, which are screen-capture videos, have been created by teachers delivering instruction or feedback, reflecting a teacher-centered model of learning. Based on the constructivist principle, this study explores an innovative attempt to position students as screencast creators, who must demonstrate their knowledge by and explain their work in the screencast. This innovative approach has the potential to promote authentic learning and reduce dependence on generative artificial intelligence (GenAI) tools for completing assignments. However, it is uncertain whether students will have positive attitudes towards this new form of assessment. From 2022 to 2025, the authors used screencasts as assessments in computer programming and English language subjects. Survey results were obtained from 203 university students and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that students generally hold positive attitudes toward creating screencasts, with perceived usefulness for future applications exerting the strongest influence on acceptance, followed by perceived performance benefits and ease of use. It is also found that gender, discipline, and study mode did not significantly alter these relationships, although senior students perceived screencast production as more effortful. These findings suggest that student-created screencasts can serve as an effective, student-centered alternative to traditional written assessments. The research results imply that student-created screencasts have the potential to help students develop their skills in an increasingly GenAI-pervasive academic environment. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Education Sciences is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/educsci15121701 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1701 Subjects: – SubjectFull: Constructivism (Education) Type: general – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Visual aids Type: general – SubjectFull: Discourse Type: general – SubjectFull: Computer programming education Type: general – SubjectFull: Authentic learning Type: general – SubjectFull: Attitude (Psychology) Type: general Titles: – TitleFull: Student-Created Screencasts: A Constructivist Response to the Challenges of Generative AI in Education. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wong, Adam – PersonEntity: Name: NameFull: Tsang, Ken – PersonEntity: Name: NameFull: Lin, Shuyang – PersonEntity: Name: NameFull: Chan, Lai Lam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22277102 Numbering: – Type: volume Value: 15 – Type: issue Value: 12 Titles: – TitleFull: Education Sciences Type: main |
| ResultId | 1 |
