The Application of Artificial Intelligence in Engineering Education: A Systematic Review
Artificial Intelligence (AI) is increasingly impacting the environment, pedagogy, and management practices in engineering education. However, literature reviews that provide a systematic review and analysis of AI in engineering education remain limited. To address this research gap and gain a compre...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10851283/ |
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| author | Cong Liu Guang-Chao Wang Hong-Feng Wang |
| author_facet | Cong Liu Guang-Chao Wang Hong-Feng Wang |
| author_sort | Cong Liu |
| collection | DOAJ |
| description | Artificial Intelligence (AI) is increasingly impacting the environment, pedagogy, and management practices in engineering education. However, literature reviews that provide a systematic review and analysis of AI in engineering education remain limited. To address this research gap and gain a comprehensive understanding of AI applications in engineering education, this study conducts a systematic review based on 161 studies on AI applications in engineering education. Using VOSviewer, this paper analyzes the research hotspots of AI in engineering education, as well as the top ten organizations, countries, cited sources, and cited authors. Furthermore, the study categorizes the application of AI technologies in engineering education into seven distinct categories: Virtual Experiment Environments, Learning Prediction, Learning Analytics, Engineering Education Robots, Intelligent Tutoring Systems, Automatic Evaluation, and Assisted Learning. The study reveals that these technologies have already been widely adopted. Moreover, this paper summarizes the influence of AI technologies on engineering education, along with the implications and challenges, providing a foundation for further exploration of the integration of AI technologies into educational systems. |
| format | Article |
| id | doaj-art-d198a9bdb6814d008a6abb8d63957bac |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d198a9bdb6814d008a6abb8d63957bac2025-01-31T00:01:09ZengIEEEIEEE Access2169-35362025-01-0113178951791010.1109/ACCESS.2025.353259510851283The Application of Artificial Intelligence in Engineering Education: A Systematic ReviewCong Liu0https://orcid.org/0009-0002-3441-0780Guang-Chao Wang1Hong-Feng Wang2School of Computer and Information Engineering, Dezhou University, Dezhou, ChinaSchool of Computer and Information Engineering, Dezhou University, Dezhou, ChinaSchool of Computer and Information Engineering, Dezhou University, Dezhou, ChinaArtificial Intelligence (AI) is increasingly impacting the environment, pedagogy, and management practices in engineering education. However, literature reviews that provide a systematic review and analysis of AI in engineering education remain limited. To address this research gap and gain a comprehensive understanding of AI applications in engineering education, this study conducts a systematic review based on 161 studies on AI applications in engineering education. Using VOSviewer, this paper analyzes the research hotspots of AI in engineering education, as well as the top ten organizations, countries, cited sources, and cited authors. Furthermore, the study categorizes the application of AI technologies in engineering education into seven distinct categories: Virtual Experiment Environments, Learning Prediction, Learning Analytics, Engineering Education Robots, Intelligent Tutoring Systems, Automatic Evaluation, and Assisted Learning. The study reveals that these technologies have already been widely adopted. Moreover, this paper summarizes the influence of AI technologies on engineering education, along with the implications and challenges, providing a foundation for further exploration of the integration of AI technologies into educational systems.https://ieeexplore.ieee.org/document/10851283/Artificial intelligenceengineering educationsystematic reviewVOSviewer |
| spellingShingle | Cong Liu Guang-Chao Wang Hong-Feng Wang The Application of Artificial Intelligence in Engineering Education: A Systematic Review IEEE Access Artificial intelligence engineering education systematic review VOSviewer |
| title | The Application of Artificial Intelligence in Engineering Education: A Systematic Review |
| title_full | The Application of Artificial Intelligence in Engineering Education: A Systematic Review |
| title_fullStr | The Application of Artificial Intelligence in Engineering Education: A Systematic Review |
| title_full_unstemmed | The Application of Artificial Intelligence in Engineering Education: A Systematic Review |
| title_short | The Application of Artificial Intelligence in Engineering Education: A Systematic Review |
| title_sort | application of artificial intelligence in engineering education a systematic review |
| topic | Artificial intelligence engineering education systematic review VOSviewer |
| url | https://ieeexplore.ieee.org/document/10851283/ |
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