Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education
The use of generative artificial intelligence technologies in education has the potential to revolutionize learning and educational assessment by personalizing the learning experience, providing immediate feedback, and improving the overall learning experience.The relevance of the research is due to...
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| Format: | Article |
| Language: | Russian |
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Maikop State Technological University
2024-07-01
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| Series: | Вестник Майкопского государственного технологического университета |
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| Online Access: | https://maikopvest.elpub.ru/jour/article/view/374 |
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| _version_ | 1849402228305035264 |
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| author | A. A. Paskova |
| author_facet | A. A. Paskova |
| author_sort | A. A. Paskova |
| collection | DOAJ |
| description | The use of generative artificial intelligence technologies in education has the potential to revolutionize learning and educational assessment by personalizing the learning experience, providing immediate feedback, and improving the overall learning experience.The relevance of the research is due to the spread of artificial intelligence technologies and the lack of practices for formative assessment of educational achievements in higher education.The problem statement: existing domestic e-learning systems have limited functionality, which makes them difficult to use in the process of formative testing.The goal of the research is to study the possibility and effectiveness of using generative artificial intelligence technologies in formative assessment in higher education.The objectives of the research are to consider the theoretical foundations of using generative artificial intelligence tools in assessing knowledge, skills and abilities, and to analyze our own experience of using large language models in formative testing at a university.The methodological basis of the research is analysis of Internet resources and literary sources, methods of mathematical statistics, and synthesis.The research results: the possibilities of using and the effectiveness of generative artificial intelligence technologies in formative testing of university students have been studied, our own experience of using large language models in formative testing have been analyzed, the main limitations of introducing these technologies into the educational process have been identified, recommendations have been given for organizing formative testing using large language models.Key conclusions: Large language models can be integrated into the learning process to assess formative and summative tests, which will significantly reduce the workload of teachers, provide more objective results and, ultimately, increase the effectiveness of the learning process. |
| format | Article |
| id | doaj-art-999b35cd0f214b4da260bf19593f2d9e |
| institution | Kabale University |
| issn | 2078-1024 |
| language | Russian |
| publishDate | 2024-07-01 |
| publisher | Maikop State Technological University |
| record_format | Article |
| series | Вестник Майкопского государственного технологического университета |
| spelling | doaj-art-999b35cd0f214b4da260bf19593f2d9e2025-08-20T03:37:36ZrusMaikop State Technological UniversityВестник Майкопского государственного технологического университета2078-10242024-07-01029810910.47370/2078-1024-2024-16-2-98-109371Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher educationA. A. Paskova0FSBEI HE «Maikop State Technological University»The use of generative artificial intelligence technologies in education has the potential to revolutionize learning and educational assessment by personalizing the learning experience, providing immediate feedback, and improving the overall learning experience.The relevance of the research is due to the spread of artificial intelligence technologies and the lack of practices for formative assessment of educational achievements in higher education.The problem statement: existing domestic e-learning systems have limited functionality, which makes them difficult to use in the process of formative testing.The goal of the research is to study the possibility and effectiveness of using generative artificial intelligence technologies in formative assessment in higher education.The objectives of the research are to consider the theoretical foundations of using generative artificial intelligence tools in assessing knowledge, skills and abilities, and to analyze our own experience of using large language models in formative testing at a university.The methodological basis of the research is analysis of Internet resources and literary sources, methods of mathematical statistics, and synthesis.The research results: the possibilities of using and the effectiveness of generative artificial intelligence technologies in formative testing of university students have been studied, our own experience of using large language models in formative testing have been analyzed, the main limitations of introducing these technologies into the educational process have been identified, recommendations have been given for organizing formative testing using large language models.Key conclusions: Large language models can be integrated into the learning process to assess formative and summative tests, which will significantly reduce the workload of teachers, provide more objective results and, ultimately, increase the effectiveness of the learning process.https://maikopvest.elpub.ru/jour/article/view/374higher educationformative assessmentsummative assessmenteducational processgenerative artificial intelligenceneural networkslarge language modelschatgptmachine learningnatural language processing (nlp) |
| spellingShingle | A. A. Paskova Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education Вестник Майкопского государственного технологического университета higher education formative assessment summative assessment educational process generative artificial intelligence neural networks large language models chatgpt machine learning natural language processing (nlp) |
| title | Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education |
| title_full | Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education |
| title_fullStr | Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education |
| title_full_unstemmed | Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education |
| title_short | Potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education |
| title_sort | potentials of integrating generative artificial intelligence technologies into formative assessment processes in higher education |
| topic | higher education formative assessment summative assessment educational process generative artificial intelligence neural networks large language models chatgpt machine learning natural language processing (nlp) |
| url | https://maikopvest.elpub.ru/jour/article/view/374 |
| work_keys_str_mv | AT aapaskova potentialsofintegratinggenerativeartificialintelligencetechnologiesintoformativeassessmentprocessesinhighereducation |