The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies
Artificial intelligence (AI) technologies are used in many dimensions of our lives, including education. Motivated by the increasing use of AI technologies and the current state of the art, this study examines research on AI from the perspective of online distance education. Following a systematic r...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/5/3056 |
| _version_ | 1797615718774079488 |
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| author | Murat Ertan Dogan Tulay Goru Dogan Aras Bozkurt |
| author_facet | Murat Ertan Dogan Tulay Goru Dogan Aras Bozkurt |
| author_sort | Murat Ertan Dogan |
| collection | DOAJ |
| description | Artificial intelligence (AI) technologies are used in many dimensions of our lives, including education. Motivated by the increasing use of AI technologies and the current state of the art, this study examines research on AI from the perspective of online distance education. Following a systematic review protocol and using data mining and analytics approaches, the study examines a total of 276 publications. Accordingly, time trend analysis increases steadily with a peak in recent years, and China, India, and the United States are the leading countries in research on AI in online learning and distance education. Computer science and engineering are the research areas that make the most of the contribution, followed by social sciences. t-SNE analysis reveals three dominant clusters showing thematic tendencies, which are as follows: (1) how AI technologies are used in online teaching and learning processes, (2) how algorithms are used for the recognition, identification, and prediction of students’ behaviors, and (3) adaptive and personalized learning empowered through artificial intelligence technologies. Additionally, the text mining and social network analysis identified three broad research themes, which are (1) educational data mining, learning analytics, and artificial intelligence for adaptive and personalized learning; (2) algorithmic online educational spaces, ethics, and human agency; and (3) online learning through detection, identification, recognition, and prediction. |
| first_indexed | 2024-03-11T07:30:39Z |
| format | Article |
| id | doaj.art-54ee207638db49ea80452bfa2aa73819 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T07:30:39Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-54ee207638db49ea80452bfa2aa738192023-11-17T07:18:40ZengMDPI AGApplied Sciences2076-34172023-02-01135305610.3390/app13053056The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical StudiesMurat Ertan Dogan0Tulay Goru Dogan1Aras Bozkurt2Department of Science Culture, Yasar University, 35100 Izmir, TurkeyDepartment of New Media and Communication, Yasar University, 35100 Izmir, TurkeyDepartment of Distance Education, Anadolu University, 26470 Eskisehir, TurkeyArtificial intelligence (AI) technologies are used in many dimensions of our lives, including education. Motivated by the increasing use of AI technologies and the current state of the art, this study examines research on AI from the perspective of online distance education. Following a systematic review protocol and using data mining and analytics approaches, the study examines a total of 276 publications. Accordingly, time trend analysis increases steadily with a peak in recent years, and China, India, and the United States are the leading countries in research on AI in online learning and distance education. Computer science and engineering are the research areas that make the most of the contribution, followed by social sciences. t-SNE analysis reveals three dominant clusters showing thematic tendencies, which are as follows: (1) how AI technologies are used in online teaching and learning processes, (2) how algorithms are used for the recognition, identification, and prediction of students’ behaviors, and (3) adaptive and personalized learning empowered through artificial intelligence technologies. Additionally, the text mining and social network analysis identified three broad research themes, which are (1) educational data mining, learning analytics, and artificial intelligence for adaptive and personalized learning; (2) algorithmic online educational spaces, ethics, and human agency; and (3) online learning through detection, identification, recognition, and prediction.https://www.mdpi.com/2076-3417/13/5/3056artificial intelligencedeep learningmachine learningdistance educationonline learning |
| spellingShingle | Murat Ertan Dogan Tulay Goru Dogan Aras Bozkurt The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies Applied Sciences artificial intelligence deep learning machine learning distance education online learning |
| title | The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies |
| title_full | The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies |
| title_fullStr | The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies |
| title_full_unstemmed | The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies |
| title_short | The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies |
| title_sort | use of artificial intelligence ai in online learning and distance education processes a systematic review of empirical studies |
| topic | artificial intelligence deep learning machine learning distance education online learning |
| url | https://www.mdpi.com/2076-3417/13/5/3056 |
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