Artificial Intelligence-based educational assessment: Principles, applications, and evaluation

The advancement of Artificial Intelligence (AI) technology stands as a crucial area necessitating in-depth exploration across various sectors. The integration of AI technology into educational evaluation emerges as an inevitable trend. This paper, starting from the concepts, purposes, functions, and characteristics of educational evaluation, analyzes the impact and value of AI technology on educational assessment. It delves into the principles, applications, and evaluations of intelligent assessment. The paper asserts that AI technology has the potential to enhance the quality, efficiency, fairness, and transparency of educational assessment, fostering innovation and reform in the field, ultimately achieving the modernization of educational evaluation. Furthermore, the paper introduces typical application scenarios of intelligent assessment, encompassing learning analytics, adaptive learning, intelligent testing, and smart feedback. An evaluation of the advantages, challenges, and effects of these application scenarios is also provided. In conclusion, the paper puts forth recommendations for the development of intelligent assessment, including refining relevant laws and regulations, strengthening the ethics and responsibilities of AI-based educational assessment, enhancing the impact and utility of AI educational evaluation, and promoting international collaboration in AI-based educational assessment.

Authors

Publication Details

Journal
International Journal of Social Science and Education Research
Published
2025-01-01
DOI
https://doi.org/10.33545/26649845.2025.v7.i2b.335
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-based educational assessment: Principles, applications, and evaluation

Xixi Hu, Z. Y. Feng, Wenqing Li, Jian Bai et al.
International Journal of Social Science and Education Research
Intelligent Tutoring Systems and Adaptive Learning
article

Artificial Intelligence-based educational assessment: Principles, applications, and evaluation

Xixi Hu, Z. Y. Feng, Wenqing Li, Jian Bai, Junqing Huang
article en

Abstract

The advancement of Artificial Intelligence (AI) technology stands as a crucial area necessitating in-depth exploration across various sectors. The integration of AI technology into educational evaluation emerges as an inevitable trend. This paper, starting from the concepts, purposes, functions, and characteristics of educational evaluation, analyzes the impact and value of AI technology on educational assessment. It delves into the principles, applications, and evaluations of intelligent assessment. The paper asserts that AI technology has the potential to enhance the quality, efficiency, fairness, and transparency of educational assessment, fostering innovation and reform in the field, ultimately achieving the modernization of educational evaluation. Furthermore, the paper introduces typical application scenarios of intelligent assessment, encompassing learning analytics, adaptive learning, intelligent testing, and smart feedback. An evaluation of the advantages, challenges, and effects of these application scenarios is also provided. In conclusion, the paper puts forth recommendations for the development of intelligent assessment, including refining relevant laws and regulations, strengthening the ethics and responsibilities of AI-based educational assessment, enhancing the impact and utility of AI educational evaluation, and promoting international collaboration in AI-based educational assessment.

International Journal of Social Science and Education ResearchVol. 7(2)
Openalex Percentile: Top 91%
Intelligent Tutoring Systems and Adaptive Learning
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