From the Gender Lens: Student Perceptions of ChatGPT in Higher Education

The development of artificial intelligence (AI) technologies, such as ChatGPT, has significantly impacted education. Our study adds a gender lens to this discourse by examining how male and female students in Indonesian higher education perceive ChatGPT differently. ChatGPT, trained on human conversation data, provides human-like responses, enhancing interactivity and learning effectiveness in higher education. This study examines university students' perspectives from Indonesia and the use of ChatGPT in learning, involving 250 participants (109 males, 43.6%; 141 females, 56.4%). The findings reveal that males found ChatGPT more effective for interacting, searching, evaluating, and managing information, and they exhibited more positive attitudes and satisfaction toward its use. Additionally, males perceived ChatGPT as contributing more to their learning experience, particularly in daily classes and practical subjects. In contrast, females found ChatGPT more helpful for theoretical assignments and homework. These results highlight significant gender differences in ChatGPT's perceived benefits, underscoring the need to consider gender-specific preferences in educational technology implementation. This study provides insights into integrating ChatGPT effectively in education and emphasizes the importance of developing inclusive and adaptive AI-driven learning tools. Further research is needed to explore underlying factors influencing these differences and to design more equitable solutions for all students.

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Publication Details

Journal
Advances in Mobile Learning Educational Research
Published
2025-05-19
DOI
https://doi.org/10.25082/amler.2025.01.015
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
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article

From the Gender Lens: Student Perceptions of ChatGPT in Higher Education

Muhammad Aizri Fadillah, Muhammad Firman Akbar
3 citations
Advances in Mobile Learning Educational Research
Artificial Intelligence in Healthcare and Education
1.96
article

From the Gender Lens: Student Perceptions of ChatGPT in Higher Education

Muhammad Aizri Fadillah, Muhammad Firman Akbar
article en
3 citations

Abstract

The development of artificial intelligence (AI) technologies, such as ChatGPT, has significantly impacted education. Our study adds a gender lens to this discourse by examining how male and female students in Indonesian higher education perceive ChatGPT differently. ChatGPT, trained on human conversation data, provides human-like responses, enhancing interactivity and learning effectiveness in higher education. This study examines university students' perspectives from Indonesia and the use of ChatGPT in learning, involving 250 participants (109 males, 43.6%; 141 females, 56.4%). The findings reveal that males found ChatGPT more effective for interacting, searching, evaluating, and managing information, and they exhibited more positive attitudes and satisfaction toward its use. Additionally, males perceived ChatGPT as contributing more to their learning experience, particularly in daily classes and practical subjects. In contrast, females found ChatGPT more helpful for theoretical assignments and homework. These results highlight significant gender differences in ChatGPT's perceived benefits, underscoring the need to consider gender-specific preferences in educational technology implementation. This study provides insights into integrating ChatGPT effectively in education and emphasizes the importance of developing inclusive and adaptive AI-driven learning tools. Further research is needed to explore underlying factors influencing these differences and to design more equitable solutions for all students.

Advances in Mobile Learning Educational ResearchVol. 5(1)
State University of Medan (ID), State University of Padang (ID)
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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From the Gender Lens: Student Perceptions of ChatGPT in Higher Education — Muhammad Aizri Fadillah, Muhammad Firman Akbar · Advances in Mobile Learning Educational Research (2025) | TGRS Research Map | TGRS