Enhancing Mobile Learning with AI-Powered Chatbots: Investigating ChatGPT's Impact on Student Engagement and Academic Performance.
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| Title: | Enhancing Mobile Learning with AI-Powered Chatbots: Investigating ChatGPT's Impact on Student Engagement and Academic Performance. |
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| Authors: | Dahri, Nisar Ahmed1,2, Al-Rahmi, Waleed Mugahed3 waleed.alrahmi@dau.edu.sa, Alhashmi, Khadijah Amru4, Bashir, Farhan5 |
| Source: | International Journal of Interactive Mobile Technologies. 2025, Vol. 19 Issue 11, p17-38. 22p. |
| Subjects: | Artificial intelligence, Open learning, Mobile learning, ChatGPT, Cognitive load, Education research |
| Abstract: | In mobile learning environments, after-class review strategies play a crucial role in reinforcing key concepts, summarizing knowledge, and enhancing subject mastery. However, students often encounter difficulties reviewing lessons due to limited support and immediate assistance, impacting their overall learning experience. This study examines the role of artificial intelligence (AI)-powered ChatGPT as a mobile learning tool to support pre-service students in academic performance, cognitive load reduction, perceived learning, trust, and motivation. Utilizing a quasi-experimental design, two classes enrolled in an assessment and evaluation course at UTM University, Malaysia, participated in the study. The experimental group (n = 16) engaged with ChatGPT via mobile devices for post-lesson reviews, while the control group (n = 16) relied on traditional instructor-led interactions. Pre- and post-tests and ANCOVA analyses were conducted to evaluate changes in students' learning outcomes. The findings indicate that mobile AI-powered ChatGPT significantly enhances academic achievement, reduces cognitive load, and fosters increased motivation, perceived learning, and trust. The results highlight the potential of integrating AI-driven mobile learning solutions to provide personalized, on-demand academic support, enabling students to engage in more effective and flexible learning experiences beyond traditional classroom settings. These insights contribute to the growing body of research on AI in education, emphasizing the need for further exploration into mobile AI-driven interventions for diverse learning contexts. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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: 185712961 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Mobile Learning with AI-Powered Chatbots: Investigating ChatGPT's Impact on Student Engagement and Academic Performance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dahri%2C+Nisar+Ahmed%22">Dahri, Nisar Ahmed</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Al-Rahmi%2C+Waleed+Mugahed%22">Al-Rahmi, Waleed Mugahed</searchLink><relatesTo>3</relatesTo><i> waleed.alrahmi@dau.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Alhashmi%2C+Khadijah+Amru%22">Alhashmi, Khadijah Amru</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Bashir%2C+Farhan%22">Bashir, Farhan</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2025, Vol. 19 Issue 11, p17-38. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Open+learning%22">Open learning</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+load%22">Cognitive load</searchLink><br /><searchLink fieldCode="DE" term="%22Education+research%22">Education research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In mobile learning environments, after-class review strategies play a crucial role in reinforcing key concepts, summarizing knowledge, and enhancing subject mastery. However, students often encounter difficulties reviewing lessons due to limited support and immediate assistance, impacting their overall learning experience. This study examines the role of artificial intelligence (AI)-powered ChatGPT as a mobile learning tool to support pre-service students in academic performance, cognitive load reduction, perceived learning, trust, and motivation. Utilizing a quasi-experimental design, two classes enrolled in an assessment and evaluation course at UTM University, Malaysia, participated in the study. The experimental group (n = 16) engaged with ChatGPT via mobile devices for post-lesson reviews, while the control group (n = 16) relied on traditional instructor-led interactions. Pre- and post-tests and ANCOVA analyses were conducted to evaluate changes in students' learning outcomes. The findings indicate that mobile AI-powered ChatGPT significantly enhances academic achievement, reduces cognitive load, and fosters increased motivation, perceived learning, and trust. The results highlight the potential of integrating AI-driven mobile learning solutions to provide personalized, on-demand academic support, enabling students to engage in more effective and flexible learning experiences beyond traditional classroom settings. These insights contribute to the growing body of research on AI in education, emphasizing the need for further exploration into mobile AI-driven interventions for diverse learning contexts. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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: 10.3991/ijim.v19i11.54643 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 17 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Open learning Type: general – SubjectFull: Mobile learning Type: general – SubjectFull: ChatGPT Type: general – SubjectFull: Cognitive load Type: general – SubjectFull: Education research Type: general Titles: – TitleFull: Enhancing Mobile Learning with AI-Powered Chatbots: Investigating ChatGPT's Impact on Student Engagement and Academic Performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dahri, Nisar Ahmed – PersonEntity: Name: NameFull: Al-Rahmi, Waleed Mugahed – PersonEntity: Name: NameFull: Alhashmi, Khadijah Amru – PersonEntity: Name: NameFull: Bashir, Farhan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 19 – Type: issue Value: 11 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
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