Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis
Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the re...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Alicante
2023-01-01
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| Series: | Journal of New Approaches in Educational Research |
| Subjects: | |
| Online Access: | https://naerjournal.ua.es/article/view/1240 |
| _version_ | 1797901528917344256 |
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| author | Inmaculada García-Martínez José María Fernández-Batanero Jose Fernández-Cerero Samuel P León |
| author_facet | Inmaculada García-Martínez José María Fernández-Batanero Jose Fernández-Cerero Samuel P León |
| author_sort | Inmaculada García-Martínez |
| collection | DOAJ |
| description | Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the research is to analyse, quantitatively and qualitatively, the impact of AI components and computational sciences on student performance. For this purpose, a systematic review and meta-analysis have been carried out in WOS and Scopus databases. After applying the inclusion and exclusion criteria, the sample was set at 25 articles. The results support the positive impact that AI and computational sciences have on student performance, finding a rise in their attitude towards learning and their motivation, especially in the STEM (Science, Technology, Engineering, and Mathematics) areas. Despite the multiple benefits provided, the implementation of these technologies in instructional processes involves a great educational and ethical challenge for teachers in relation to their design and implementation, which requires further analysis from the educational research. These findings are consistent at all educational stages. |
| first_indexed | 2024-04-10T09:03:22Z |
| format | Article |
| id | doaj.art-8155ef044d964441a6f6109f45398689 |
| institution | Directory Open Access Journal |
| issn | 2254-7339 |
| language | English |
| last_indexed | 2024-04-10T09:03:22Z |
| publishDate | 2023-01-01 |
| publisher | University of Alicante |
| record_format | Article |
| series | Journal of New Approaches in Educational Research |
| spelling | doaj.art-8155ef044d964441a6f6109f453986892023-02-21T09:20:56ZengUniversity of AlicanteJournal of New Approaches in Educational Research2254-73392023-01-0112117119710.7821/naer.2023.1.1240215Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysisInmaculada García-Martínez0José María Fernández-Batanero1Jose Fernández-Cerero2Samuel P León3<p>Department of Didactics and School Organization, University of Granada</p><p>Department of Didactics and School Organization, University of Seville</p><p>Department of Didactics and School Organization, University of Seville</p><p>Department of Pedagogy, University of Jaén</p>Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the research is to analyse, quantitatively and qualitatively, the impact of AI components and computational sciences on student performance. For this purpose, a systematic review and meta-analysis have been carried out in WOS and Scopus databases. After applying the inclusion and exclusion criteria, the sample was set at 25 articles. The results support the positive impact that AI and computational sciences have on student performance, finding a rise in their attitude towards learning and their motivation, especially in the STEM (Science, Technology, Engineering, and Mathematics) areas. Despite the multiple benefits provided, the implementation of these technologies in instructional processes involves a great educational and ethical challenge for teachers in relation to their design and implementation, which requires further analysis from the educational research. These findings are consistent at all educational stages.https://naerjournal.ua.es/article/view/1240artificial intelligencelearning achievementeducationteaching methodseducational improvement |
| spellingShingle | Inmaculada García-Martínez José María Fernández-Batanero Jose Fernández-Cerero Samuel P León Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis Journal of New Approaches in Educational Research artificial intelligence learning achievement education teaching methods educational improvement |
| title | Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis |
| title_full | Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis |
| title_fullStr | Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis |
| title_full_unstemmed | Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis |
| title_short | Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis |
| title_sort | analysing the impact of artificial intelligence and computational sciences on student performance systematic review and meta analysis |
| topic | artificial intelligence learning achievement education teaching methods educational improvement |
| url | https://naerjournal.ua.es/article/view/1240 |
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