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The Generative AI Landscape in Education: Mapping the Terrain of Opportunities, Challenges, and Student Perception
Open accessAbstract
Generative AI (GAI) technologies like ChatGPT are permanently changing academic education. Their integration opens up vast opportunities for bespoke learning and better student interaction but also brings about academic honesty issues and the application of real-life educators. This study aims to fill the literature gap regarding the use of multiple GAI tools and their effect on academic outcomes via a comprehensive review. A systematic literature review was performed following PRISMA guidelines to synthesize results on the potential and drawbacks of GAI in educational domains. We included theoretical and empirical papers that used qualitative, quantitative, or mixed-methods study designs. We have also explored conceptual frameworks and the most creative AI applications with a special emphasis on uniqueness and practicability. Experiences, and Perceptions Concerning To compile the information needed we gathered insights into what students were going through by conducting the survey which contains 200 respondents of undergraduate university students gathering insights into the college students’ experiences and perceptions related to GAI used for educational purposes. At the basic level, GAI comprises areas like personalization, task automation, teacher assistance, and efficiency among others, and respective solutions for the immersion of a learner in learning processes to reform directions. However, it generates plenty of challenges such as the question of assessment integrity, the risk that too much automated grading could overwhelm educational value, and relevantly the veracity of AI-generated content as well as the potential disruption to skills like critical thinking, in addition to data privacy and ethical issues. Student Perception Survey the text also indicates that most students, as per the student perception survey found AI systems useful in academic support. However, they also know the other side of the coin and are very familiar with the technology constraints and challenges.
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“Studies have revealed that traditional plagiarism detection tools, such as Turnitin, are ineffective in identifying AI-gen -erated content, often yielding false positives or negatives [ 31, 60, 85, 89, 90 ].”
From Redefining student assessment in AI-infused learning environments: a systematic review of challenges and strategies for academic integrity (2026) · cites this paper as [60]
In the citing paper
“The reliance on AI for tasks requiring cognitive engagement results in declining independent reasoning, writing abilities, critical thinking, and analytical skills, making students less prepared for realworld problem-solving scenarios [ 60, 72, 93, 97, 98].”
From Redefining student assessment in AI-infused learning environments: a systematic review of challenges and strategies for academic integrity (2026) · cites this paper as [60]
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Idroes, G. M., Noviandy, T. R., Maulana, A., Irvanizam, I., Jalil, Z., Lensoni, L., Lala, A., Abas, A. H., Tallei, T. E., & Idroes, R. (2023) · Journal of Educational Management and Learning · doi:10.60084/jeml.v1i1.58 · Cited by 103 · cited 1×
“Professional development programs and resources should be developed to equip educators with the knowledge and skills necessary to integrate GAI technologies into their teaching practices effectively [57], [74], [94].”
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“Dynamic question-and-answer functions would allow for student-driven explorations where an AI tutor provides responsive, detailed explanations [4].”
BackgroundPAIGE: A generative AI-based framework for promoting assignment integrity in higher education
Shanto, S. S., Ahmed, Z., & Jony, A. I. (2023) · STEM Education · doi:10.3934/steme.2023018 · Cited by 52 · cited 4×
“Comprehensive studies should be conducted to assess the impact of GAI on various aspects of education, including student learning outcomes, teacher effectiveness, and administrative processes [7], [52].”
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Matzakos, N., Doukakis, S., & Moundridou, M. (2023) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v18i20.42979 · Cited by 51
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“Beyond individualized feedback, ChatGPT and similar Generative AI (GAI) systems open new horizons for personalized learning pathways, encouraging learners to pursue self-directed education [18], [27], [28], [29], [30], [31], [32].”
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“This technology dramatically helps students in other areas, such as language learning and numerous academic disciplines, by promoting interactive conversations that resemble human connection without being limited by fatigue or the need for breaks [24], [35], [54].”
BackgroundMicrosoft Copilot and Anthropic Claude AI in education and library service
Adetayo, A. J., Aborisade, M. O., & Sanni, B. A. (2024) · Library Hi Tech News · doi:10.1108/lhtn-01-2024-0002 · Cited by 45 · cited 1×
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BackgroundChatGPT in Ukrainian Education: Problems and Prospects
Fiialka, S., Kornieva, Z., & Honcharuk, T. (2023) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v18i17.42215 · Cited by 45 · cited 2×
“This convenience is especially beneficial in academic research and study, where time is crucial [32], [48], [49].”
BackgroundGenerative AI in education: To embrace it or not?
Ariyo Okaiyeto, S., College of Mechanical and Electrical Engineering, Q. A. U., Bai, J., & Xiao, H. (2023) · International Journal of Agricultural and Biological Engineering · doi:10.25165/j.ijabe.20231603.8486 · Cited by 43 · cited 1×
“However, critical ethical, legal, and social risks are inherent in deploying generative models in education [5].”
BackgroundEduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
Dan, Y., Lei, Z., Gu, Y., Li, Y., Yin, J., Lin, J., Ye, L., Tie, Z., Zhou, Y., Wang, Y., et al. (2023) · arXiv · doi:10.48550/arxiv.2308.02773 · Cited by 41
Impact of ChatGPT on Academic Performance among Bangladeshi Undergraduate Students
Tanvir, K., Islam, M. S., Sezan, S. B. K., Sanad, Z. A., & Ataur, A.-J. I. (2023) · International journal of research in science & engineering · doi:10.55529/ijrise.35.18.28 · Cited by 37 · cited 3×
“Moreover, the facility with which ChatGPT can produce coherent and natural-sounding responses may inadvertently encourage AI-assisted cheating, compromising the integrity of genuine learning experiences [28], [46], [57].”
BackgroundPhilbin, C. A. (2023) · ACM Inroads · doi:10.1145/3610406 · Cited by 34 · cited 1×
“Philbin [14] explored the impact of GAI tools, such as GitHub Copilot, on generating code for computer science applications.”
MethodGenerative AI and re-weaving a pedagogical horizon of social possibility
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“Such protocols must prioritize the representation of diverse perspectives and experiences, ensuring that AI technologies serve as tools to improve educational opportunities for all students, regardless of their cultural background or socioeconomic status [72].”
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“Moreover, the ready availability of these tools presents a significant challenge for academia in terms of effectively assessing students’ genuine understanding and competencies [95].”
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“Its interactive nature and ability to simulate conversational exchanges make learning more relatable and accessible, enhancing student interest and participation in classroom activities [59], [60].”
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ChatGPT's Applications in Higher Education: Unmasking Opportunities and Challenges
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“Both participants expressed skepticism regarding GenAI accuracy and completeness, frequently revising and refining their prompts to improve response quality [33].”
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Metadata
- Authors
- Ahmed, Z., Shanto, S. S., Rime, M. H. K., Morol, M. K., Fahad, N., Hossen, M. J., & Abdullah-Al-Jubair, M.
- Affiliations
- American International University-Bangladesh (BD)
- University of Rajshahi (BD)
- Multimedia University (MY)
- ORCID
- Venue
- IEEE Access
- Published
- 2024
- Volume
- 12
- Pages
- 147023-147050
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W4402772412
- Cited by
- 123
- References
- 96
- Citations by year
- 2026: 57 · 2025: 61 · 2024: 5
- FWCI
- 46.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, cc-by-nc-nd)
- Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- generative AI in education, ChatGPT, student perceptions, academic integrity, automated grading, AI-generated content, personalized learning, critical thinking, data privacy, AI ethics, undergraduate students, academic support
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