Exploring the applications of artificial intelligence in mechanical engineering education
In an era marked by technological sophistication, Artificial Intelligence (AI) is increasingly being integrated into various fields, including Mechanical Engineering Education (MEE). This review paper presents a systematic examination of scientific publications in this field, spanning from 2018 to 2...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-02-01
|
| Series: | Frontiers in Education |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feduc.2024.1492308/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825206690680668160 |
|---|---|
| author | Mohannad Alghazo Vian Ahmed Zied Bahroun |
| author_facet | Mohannad Alghazo Vian Ahmed Zied Bahroun |
| author_sort | Mohannad Alghazo |
| collection | DOAJ |
| description | In an era marked by technological sophistication, Artificial Intelligence (AI) is increasingly being integrated into various fields, including Mechanical Engineering Education (MEE). This review paper presents a systematic examination of scientific publications in this field, spanning from 2018 to 2023. Utilizing the PRISMA framework, 228 research papers were selected and analyzed to identify research gaps and future directions in AI’s application within the MEE discipline. The diverse applications of AI in MEE identified include personalized learning, smart tutoring systems, digitizing engineering drawings, enhancing simulation and assessment, and boosting student motivation and engagement. Additionally, a bibliometric analysis of AI in MEE was conducted, examining its role in different aspects of MEE, interdisciplinary collaboration, geographic distribution, and research focus. Accordingly, the scope of this review encompasses a comprehensive content analysis and bibliometric evaluation of AI applications in MEE. This review systematically identifies current applications of AI, maps research trends, and analyzes publication data to highlight interdisciplinary collaborations and geographical distributions. Furthermore, this study identifies critical research gaps and offers actionable recommendations, emphasizing future directions such as advancing Generative Artificial Intelligence (GAI) applications in MEE and reshaping curricula to integrate AI-based learning tools. The findings provide valuable insights to support stakeholders in evolving MEE to meet industry needs and enhance educational outcomes. |
| format | Article |
| id | doaj-art-0fe6180f6daf4ca1b1c7f70801b2e3b0 |
| institution | Kabale University |
| issn | 2504-284X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Education |
| spelling | doaj-art-0fe6180f6daf4ca1b1c7f70801b2e3b02025-02-07T06:49:45ZengFrontiers Media S.A.Frontiers in Education2504-284X2025-02-01910.3389/feduc.2024.14923081492308Exploring the applications of artificial intelligence in mechanical engineering educationMohannad AlghazoVian AhmedZied BahrounIn an era marked by technological sophistication, Artificial Intelligence (AI) is increasingly being integrated into various fields, including Mechanical Engineering Education (MEE). This review paper presents a systematic examination of scientific publications in this field, spanning from 2018 to 2023. Utilizing the PRISMA framework, 228 research papers were selected and analyzed to identify research gaps and future directions in AI’s application within the MEE discipline. The diverse applications of AI in MEE identified include personalized learning, smart tutoring systems, digitizing engineering drawings, enhancing simulation and assessment, and boosting student motivation and engagement. Additionally, a bibliometric analysis of AI in MEE was conducted, examining its role in different aspects of MEE, interdisciplinary collaboration, geographic distribution, and research focus. Accordingly, the scope of this review encompasses a comprehensive content analysis and bibliometric evaluation of AI applications in MEE. This review systematically identifies current applications of AI, maps research trends, and analyzes publication data to highlight interdisciplinary collaborations and geographical distributions. Furthermore, this study identifies critical research gaps and offers actionable recommendations, emphasizing future directions such as advancing Generative Artificial Intelligence (GAI) applications in MEE and reshaping curricula to integrate AI-based learning tools. The findings provide valuable insights to support stakeholders in evolving MEE to meet industry needs and enhance educational outcomes.https://www.frontiersin.org/articles/10.3389/feduc.2024.1492308/fullmechanical engineeringeducationartificial intelligencemachine learningeducational automation |
| spellingShingle | Mohannad Alghazo Vian Ahmed Zied Bahroun Exploring the applications of artificial intelligence in mechanical engineering education Frontiers in Education mechanical engineering education artificial intelligence machine learning educational automation |
| title | Exploring the applications of artificial intelligence in mechanical engineering education |
| title_full | Exploring the applications of artificial intelligence in mechanical engineering education |
| title_fullStr | Exploring the applications of artificial intelligence in mechanical engineering education |
| title_full_unstemmed | Exploring the applications of artificial intelligence in mechanical engineering education |
| title_short | Exploring the applications of artificial intelligence in mechanical engineering education |
| title_sort | exploring the applications of artificial intelligence in mechanical engineering education |
| topic | mechanical engineering education artificial intelligence machine learning educational automation |
| url | https://www.frontiersin.org/articles/10.3389/feduc.2024.1492308/full |
| work_keys_str_mv | AT mohannadalghazo exploringtheapplicationsofartificialintelligenceinmechanicalengineeringeducation AT vianahmed exploringtheapplicationsofartificialintelligenceinmechanicalengineeringeducation AT ziedbahroun exploringtheapplicationsofartificialintelligenceinmechanicalengineeringeducation |