Reflections on the Impact of Generative AI in Educational Assessment

This study is based on the characteristics of the artificial intelligence era and the current status of school education development. This paper presents the latest developments in generative artificial intelligence (GenAI) technology, along with an analysis of its definition, specifications, and key characteristics. Furthermore, it explores the application of GenAI in language understanding, text production, and other fields. By promoting the improvement of intelligent educational environments, transforming educational relationships, creatively distributing educational resources, and reshaping intelligent teaching techniques, this study also emphasizes how the widespread adoption of generative artificial intelligence in education will contribute to the reshaping of educational paradigms and human learning. The primary goal of education reform in the intelligent era is to provide guidance for successful implementation and promote steady improvement in classroom teaching within the context of AI. This study utilizes a variety of research tools to efficiently collect and analyze data. Initially, for data collection, we developed a comprehensive questionnaire survey covering a wide range of topics, including understanding, real-world applications, efficacy assessment, and current challenges related to GenAI technology. The results demonstrate trends from the data by utilizing robust data processing and statistical analysis software capabilities, which can perform descriptive and inferential statistical analyses on the questionnaire data. In addition to ensuring data security and accurate information, GenAI technology can also improve access and equality while increasing the effectiveness of teaching and learning processes.

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Publication Details

Journal
Journal of Education Technology
Published
2025-05-25
DOI
https://doi.org/10.23887/jet.v9i2.96909
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
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article

Reflections on the Impact of Generative AI in Educational Assessment

Vidya Singh, Balram Singh
2 citations
Journal of Education Technology
Online Learning and Analytics
3.39
article

Reflections on the Impact of Generative AI in Educational Assessment

Vidya Singh, Balram Singh
article en
2 citations

Abstract

This study is based on the characteristics of the artificial intelligence era and the current status of school education development. This paper presents the latest developments in generative artificial intelligence (GenAI) technology, along with an analysis of its definition, specifications, and key characteristics. Furthermore, it explores the application of GenAI in language understanding, text production, and other fields. By promoting the improvement of intelligent educational environments, transforming educational relationships, creatively distributing educational resources, and reshaping intelligent teaching techniques, this study also emphasizes how the widespread adoption of generative artificial intelligence in education will contribute to the reshaping of educational paradigms and human learning. The primary goal of education reform in the intelligent era is to provide guidance for successful implementation and promote steady improvement in classroom teaching within the context of AI. This study utilizes a variety of research tools to efficiently collect and analyze data. Initially, for data collection, we developed a comprehensive questionnaire survey covering a wide range of topics, including understanding, real-world applications, efficacy assessment, and current challenges related to GenAI technology. The results demonstrate trends from the data by utilizing robust data processing and statistical analysis software capabilities, which can perform descriptive and inferential statistical analyses on the questionnaire data. In addition to ensuring data security and accurate information, GenAI technology can also improve access and equality while increasing the effectiveness of teaching and learning processes.

Journal of Education TechnologyVol. 9(2)
Maharana Pratap University of Agriculture and Technology (IN)
Openalex Percentile: Top 6%
Online Learning and Analytics
3.39
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