Video learning and artificial intelligence (AI) in mechanical engineering education: A student perspective.
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| Title: | Video learning and artificial intelligence (AI) in mechanical engineering education: A student perspective. |
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| Authors: | Akhavan-Safar, A1 (AUTHOR) aakhavan-safar@inegi.up.pt, Beygi, R2 (AUTHOR), Kasaei, MM1 (AUTHOR), Mahmoudi, S3 (AUTHOR), Carbas, RJC1,4 (AUTHOR), Marques, EAS4 (AUTHOR), da Silva, LFM4 (AUTHOR) |
| Source: | International Journal of Mechanical Engineering Education. Jul2026, Vol. 54 Issue 3, p729-747. 19p. |
| Subjects: | Mechanical engineering education, Artificial intelligence, Artificial intelligence & ethics, Interactive learning, Engineering education, Student attitudes, Educational films, Educational technology |
| Abstract: | This paper investigates the transformative impact of video learning and artificial intelligence (AI) on enhancing the learning experience in mechanical engineering education. Through a quantitative and qualitative study using a survey, 145 undergraduate mechanical engineering students at the Faculty of Engineering of University of Porto, Portugal, provided insights into their utilization and perceptions of video learning and AI-based tools. The results showed a widespread acceptance and utilization of video resources as supplementary learning aids, particularly for reinforcing understanding of complex concepts in engineering subjects. Moreover, students recognize AI's potential to revolutionize traditional education systems. Unlike traditional video learning, AI offers innovative solutions to enhance interactive learning experiences for students. However, while video learning is often employed for comprehending complex subjects, AI-based tools, despite their interactive nature, are currently considered more advantageous for addressing less intricate topics. Challenges and ethical considerations surrounding the integration of AI in education are also addressed. The study underscores the need for educators to strike a balance between technological innovation and traditional pedagogical approaches to ensure that AI and video learning enrich rather than replace the learning experience. Ultimately, by increasing the strengths of AI and video learning, educators can cultivate engaged, empowered, and proficient mechanical engineering graduates prepared to navigate the complexities of the modern technological landscape. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Mechanical Engineering Education is the property of Sage Publications Inc. 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: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 194160644 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Video learning and artificial intelligence (AI) in mechanical engineering education: A student perspective. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Akhavan-Safar%2C+A%22">Akhavan-Safar, A</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aakhavan-safar@inegi.up.pt</i><br /><searchLink fieldCode="AR" term="%22Beygi%2C+R%22">Beygi, R</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kasaei%2C+MM%22">Kasaei, MM</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mahmoudi%2C+S%22">Mahmoudi, S</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carbas%2C+RJC%22">Carbas, RJC</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marques%2C+EAS%22">Marques, EAS</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22da+Silva%2C+LFM%22">da Silva, LFM</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Mechanical+Engineering+Education%22">International Journal of Mechanical Engineering Education</searchLink>. Jul2026, Vol. 54 Issue 3, p729-747. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mechanical+engineering+education%22">Mechanical engineering education</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+%26+ethics%22">Artificial intelligence & ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Interactive+learning%22">Interactive learning</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+education%22">Engineering education</searchLink><br /><searchLink fieldCode="DE" term="%22Student+attitudes%22">Student attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+films%22">Educational films</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper investigates the transformative impact of video learning and artificial intelligence (AI) on enhancing the learning experience in mechanical engineering education. Through a quantitative and qualitative study using a survey, 145 undergraduate mechanical engineering students at the Faculty of Engineering of University of Porto, Portugal, provided insights into their utilization and perceptions of video learning and AI-based tools. The results showed a widespread acceptance and utilization of video resources as supplementary learning aids, particularly for reinforcing understanding of complex concepts in engineering subjects. Moreover, students recognize AI's potential to revolutionize traditional education systems. Unlike traditional video learning, AI offers innovative solutions to enhance interactive learning experiences for students. However, while video learning is often employed for comprehending complex subjects, AI-based tools, despite their interactive nature, are currently considered more advantageous for addressing less intricate topics. Challenges and ethical considerations surrounding the integration of AI in education are also addressed. The study underscores the need for educators to strike a balance between technological innovation and traditional pedagogical approaches to ensure that AI and video learning enrich rather than replace the learning experience. Ultimately, by increasing the strengths of AI and video learning, educators can cultivate engaged, empowered, and proficient mechanical engineering graduates prepared to navigate the complexities of the modern technological landscape. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Mechanical Engineering Education is the property of Sage Publications Inc. 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: 10.1177/03064190251326999 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 729 Subjects: – SubjectFull: Mechanical engineering education Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Artificial intelligence & ethics Type: general – SubjectFull: Interactive learning Type: general – SubjectFull: Engineering education Type: general – SubjectFull: Student attitudes Type: general – SubjectFull: Educational films Type: general – SubjectFull: Educational technology Type: general Titles: – TitleFull: Video learning and artificial intelligence (AI) in mechanical engineering education: A student perspective. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Akhavan-Safar, A – PersonEntity: Name: NameFull: Beygi, R – PersonEntity: Name: NameFull: Kasaei, MM – PersonEntity: Name: NameFull: Mahmoudi, S – PersonEntity: Name: NameFull: Carbas, RJC – PersonEntity: Name: NameFull: Marques, EAS – PersonEntity: Name: NameFull: da Silva, LFM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 03064190 Numbering: – Type: volume Value: 54 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Mechanical Engineering Education Type: main |
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