Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching
The penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI) on teaching practice which is an essential proble...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Informatics |
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| Online Access: | https://www.mdpi.com/2227-9709/11/1/10 |
| _version_ | 1797240619709497344 |
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| author | Malinka Ivanova Gabriela Grosseck Carmen Holotescu |
| author_facet | Malinka Ivanova Gabriela Grosseck Carmen Holotescu |
| author_sort | Malinka Ivanova |
| collection | DOAJ |
| description | The penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI) on teaching practice which is an essential problem considering its growing utilization and pervasion on a global scale. A bibliometric approach is applied to outdraw the “big picture” considering gathered bibliographic data from scientific databases Scopus and Web of Science. Data on relevant publications matching the query “artificial intelligence and teaching” over the past 5 years have been researched and processed through Biblioshiny in R environment in order to establish a descriptive structure of the scientific production, to determine the impact of scientific publications, to trace collaboration patterns and to identify key research areas and emerging trends. The results point out the growth in scientific production lately that is an indicator of increased interest in the investigated topic by researchers who mainly work in collaborative teams as some of them are from different countries and institutions. The identified key research areas include techniques used in educational applications, such as artificial intelligence, machine learning, and deep learning. Additionally, there is a focus on applicable technologies like ChatGPT, learning analytics, and virtual reality. The research also explores the context of application for these techniques and technologies in various educational settings, including teaching, higher education, active learning, e-learning, and online learning. Based on our findings, the trending research topics can be encapsulated by terms such as ChatGPT, chatbots, AI, generative AI, machine learning, emotion recognition, large language models, convolutional neural networks, and decision theory. These findings offer valuable insights into the current landscape of research interests in the field. |
| first_indexed | 2024-04-24T18:10:19Z |
| format | Article |
| id | doaj.art-74666b5056d942a2bc57ca5519579c48 |
| institution | Directory Open Access Journal |
| issn | 2227-9709 |
| language | English |
| last_indexed | 2024-04-24T18:10:19Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Informatics |
| spelling | doaj.art-74666b5056d942a2bc57ca5519579c482024-03-27T13:46:49ZengMDPI AGInformatics2227-97092024-02-011111010.3390/informatics11010010Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in TeachingMalinka Ivanova0Gabriela Grosseck1Carmen Holotescu2Department of Informatics, Faculty of Applied Mathematics and Informatics, Technical University of Sofia, Blvd. Kl. Ohridski 8, 1797 Sofia, BulgariaDepartment of Psychology, Faculty of Sociology and Psychology, West University of Timisoara, 4 Bd. Vasile Pârvan, 300223 Timisoara, RomaniaDepartment of Information Technology, Faculty of Engineering, “Ioan Slavici” University of Timisoara, 144 Str. Păunescu Podeanu, 300569 Timisoara, RomaniaThe penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI) on teaching practice which is an essential problem considering its growing utilization and pervasion on a global scale. A bibliometric approach is applied to outdraw the “big picture” considering gathered bibliographic data from scientific databases Scopus and Web of Science. Data on relevant publications matching the query “artificial intelligence and teaching” over the past 5 years have been researched and processed through Biblioshiny in R environment in order to establish a descriptive structure of the scientific production, to determine the impact of scientific publications, to trace collaboration patterns and to identify key research areas and emerging trends. The results point out the growth in scientific production lately that is an indicator of increased interest in the investigated topic by researchers who mainly work in collaborative teams as some of them are from different countries and institutions. The identified key research areas include techniques used in educational applications, such as artificial intelligence, machine learning, and deep learning. Additionally, there is a focus on applicable technologies like ChatGPT, learning analytics, and virtual reality. The research also explores the context of application for these techniques and technologies in various educational settings, including teaching, higher education, active learning, e-learning, and online learning. Based on our findings, the trending research topics can be encapsulated by terms such as ChatGPT, chatbots, AI, generative AI, machine learning, emotion recognition, large language models, convolutional neural networks, and decision theory. These findings offer valuable insights into the current landscape of research interests in the field.https://www.mdpi.com/2227-9709/11/1/10artificial intelligenceteachingintelligent environmentlearning analyticslarge language modelsChatGPT |
| spellingShingle | Malinka Ivanova Gabriela Grosseck Carmen Holotescu Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching Informatics artificial intelligence teaching intelligent environment learning analytics large language models ChatGPT |
| title | Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching |
| title_full | Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching |
| title_fullStr | Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching |
| title_full_unstemmed | Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching |
| title_short | Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching |
| title_sort | unveiling insights a bibliometric analysis of artificial intelligence in teaching |
| topic | artificial intelligence teaching intelligent environment learning analytics large language models ChatGPT |
| url | https://www.mdpi.com/2227-9709/11/1/10 |
| work_keys_str_mv | AT malinkaivanova unveilinginsightsabibliometricanalysisofartificialintelligenceinteaching AT gabrielagrosseck unveilinginsightsabibliometricanalysisofartificialintelligenceinteaching AT carmenholotescu unveilinginsightsabibliometricanalysisofartificialintelligenceinteaching |