Artificial intelligence in education and assessment methods
Open accessAbstract
Today, artificial intelligence has proliferated to reach almost every wing of daily life, perhaps one of the most sensitive of these being education. While teaching, insofar as it involves training human minds, is still mostly a form of art rather than a regular science, the taking up of this elitist job by computers has triggered much debate and controversy, involving the teaching community as much as the select corporate AI giants who strive to create computers capable of teaching better than humans. This paper surveys the most relevant studies carried out in this field to date. First, it introduces AI and describes the different AI applications in field of education and course assessment. It then goes on to list the most common topics in the educational context that have been resolved through AI and machine learning techniques, and finally, some of the most promising future lines of research are discussed.
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The integration of AI technologies into teaching and learning began as early as the 1970s, and different forms are now used in various educational contexts.
“The integration of AI technologies into teaching and learning has begun as early as the 1970s and nowadays, different forms of these technologies are used in various educational contexts, such as the use of personalized applications for learning and assessment and information systems that help handle administrative and management tasks in schools (Al Braiki et al.,”
From A comprehensive AI policy education framework for university teaching and learning (2023) · cites this paper as Al Braiki et al., 2020
The Conclusion (p. 2006) describes current AI applications in education, including personalized learning materials and automatic essay scoring. The Introduction discusses administrative software tools as a possible future change, not as systems already handling school management tasks. No passage found for the claim that AI integration into teaching and learning began in the 1970s (searched: “1970s” and “1970”). (LLM, conf=0.86)
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Purnama, D. W., Rochman, C. B. A., Darmawan, R., Amaliyah, P., Baqi, A. D., Zahidin, A., & Dewi, R. S. (2023) · J-INTECH · doi:10.32664/j-intech.v11i2.976
Atieku-Boateng, H., Osei, R. D., Aryee, V., Essien, L., & Atieku-Boateng, B. (2024) · Research Square · doi:10.21203/rs.3.rs-4550887/v1 · Cited by 1 · see citing works
(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets60847
Innovation in Teaching–Exploring the Educators’ Perspective of AI Functions in Subject Pedagogy
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Artificial Intelligence in Enhancing Quality of Education: SEM Approach
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БІЛІМ БЕРУ ЖҮЙЕСІНДЕ ЖАСАНДЫ ИНТЕЛЛЕКТІНІҚОЛДАНУ
Хырхынбай, Ж., Сағалиева, Ж. К., Жанайхан, Е., Saktaganov, B., & Абдихайымова, Г. (2025) · Habaršy. Pedagogika ġylymdary seriâsy · doi:10.51889/2959-5762.2025.85.1.006
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Soledad, M., Patiño, A., & Cruz-Sandoval, M. A. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1658650
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- Authors
- Braiki, B. A., Harous, S., Zaki, N., & Alnajjar, F.
- Affiliations
- United Arab Emirates University (AE)
- Venue
- Bulletin of Electrical Engineering and Informatics
- Published
- 2020-10-01
- Volume
- 9
- Issue
- 5
- Pages
- 1998-2007
- ISSN
- 2089-3191 (ISSN-L)
- 2302-9285
- OpenAlex
- W3019964656
- Cited by
- 79
- References
- 47
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 20 · 2023: 13 · 2022: 7 · 2021: 5 · 2020: 1
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Bulletin of Electrical Engineering and Informatics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Keywords
- artificial intelligence in education, automated assessment, course evaluation, machine learning in education, future research directions
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