A REVIEW OF THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN ONLINE ASSESSMENT PROCESSES
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| Format: | Recurso digital |
| Sprache: | Englisch |
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Zenodo
2025
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| _version_ | 1866901553017782272 |
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| author | Emin, ÖZEN |
| author_facet | Emin, ÖZEN |
| contents | <p><strong><span>With the widespread use of online education environments today, the effectiveness and reliability of assessment processes have become increasingly important. In this context, artificial intelligence (AI) technologies are transforming online assessment processes through various applications such as automatic question generation, response evaluation, personalised feedback, and enhanced exam security. This paper examines the areas of application, advantages, and limitations of AI in online assessment processes. AI-based systems can generate questions in various formats by analysing educational materials, perform automatic evaluation of open-ended responses, and provide personalised feedback to students to help them correct their mistakes. Additionally, they can detect suspicious behaviour during exams to identify cheating attempts, thereby ensuring academic integrity. One of the most important advantages of these technologies is that they save educators time while making the assessment process more objective and reliable. However, there are some limitations, such as the accuracy, impartiality, and ethical issues of the responses generated by AI. In addition, the effectiveness of personalised feedback and the transparency of AI decision-making mechanisms are among the issues that need to be addressed. In conclusion, the opportunities offered by AI in online assessment processes bring about a significant transformation in education. However, interdisciplinary research and more comprehensive studies are needed to ensure that these technologies are used in a more reliable and ethical manner.</span></strong></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17391568 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A REVIEW OF THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN ONLINE ASSESSMENT PROCESSES Emin, ÖZEN Generative Artificial Intelligence, Online Measurement and Assessment, Automatic Assessment, Personalised Feedback, Exam Security, Educational Technologies, Online Distance Learning <p><strong><span>With the widespread use of online education environments today, the effectiveness and reliability of assessment processes have become increasingly important. In this context, artificial intelligence (AI) technologies are transforming online assessment processes through various applications such as automatic question generation, response evaluation, personalised feedback, and enhanced exam security. This paper examines the areas of application, advantages, and limitations of AI in online assessment processes. AI-based systems can generate questions in various formats by analysing educational materials, perform automatic evaluation of open-ended responses, and provide personalised feedback to students to help them correct their mistakes. Additionally, they can detect suspicious behaviour during exams to identify cheating attempts, thereby ensuring academic integrity. One of the most important advantages of these technologies is that they save educators time while making the assessment process more objective and reliable. However, there are some limitations, such as the accuracy, impartiality, and ethical issues of the responses generated by AI. In addition, the effectiveness of personalised feedback and the transparency of AI decision-making mechanisms are among the issues that need to be addressed. In conclusion, the opportunities offered by AI in online assessment processes bring about a significant transformation in education. However, interdisciplinary research and more comprehensive studies are needed to ensure that these technologies are used in a more reliable and ethical manner.</span></strong></p> |
| title | A REVIEW OF THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN ONLINE ASSESSMENT PROCESSES |
| topic | Generative Artificial Intelligence, Online Measurement and Assessment, Automatic Assessment, Personalised Feedback, Exam Security, Educational Technologies, Online Distance Learning |
| url | https://doi.org/10.5281/zenodo.17391568 |