Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education
In the endeavor to advance industrial engineering and management (IEM) education, this research underscores the imperative of supporting a dynamic and responsive adaptation of a competency-based curriculum (CBC) to meet the demands of an ever-evolving industrial landscape and job market. Our study c...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Computers and Education: Artificial Intelligence |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X24000596 |
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| author | Antonio Padovano Martina Cardamone |
| author_facet | Antonio Padovano Martina Cardamone |
| author_sort | Antonio Padovano |
| collection | DOAJ |
| description | In the endeavor to advance industrial engineering and management (IEM) education, this research underscores the imperative of supporting a dynamic and responsive adaptation of a competency-based curriculum (CBC) to meet the demands of an ever-evolving industrial landscape and job market. Our study contributes to competency-based education (CBE) by demonstrating how Artificial Intelligence (AI) can inform the definition of a CBC in the IEM field, thus initiating the pioneering steps towards a collaborative human-AI approach in CBC design. Through a stepwise methodology based on semantic analysis, text mining, natural language processing (NLP) models, informetrics approaches, and clustering algorithms, we provide data-driven insights to inform the curriculum development process. This approach enabled us to identify educational gap, particularly in domains such as digital twin engineering and human-centric IEM. Moreover, this study advocates for higher education institutions (HEIs) to embrace a more structured and collaborative approach to continuously developing competency-based curricula. In this perspective, AI (including generative AI) emerges as a valuable ally in curriculum design. This approach proves instrumental in crafting competitive and appealing curricula, especially at peripheral universities. This study culminates in an updated WING model showing how to build Industry 5.0 related curricula and a series of recommendations for engineering educators. |
| format | Article |
| id | doaj-art-6e4572f3eea748a58b10cb36c35dc149 |
| institution | DOAJ |
| issn | 2666-920X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers and Education: Artificial Intelligence |
| spelling | doaj-art-6e4572f3eea748a58b10cb36c35dc1492025-08-20T02:52:23ZengElsevierComputers and Education: Artificial Intelligence2666-920X2024-12-01710025610.1016/j.caeai.2024.100256Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management educationAntonio Padovano0Martina Cardamone1Corresponding author.; Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria (UNICAL), Ponte Pietro Bucci, Building 45C, Third Floor, Arcavacata di Rende, CS, ItalyDepartment of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria (UNICAL), Ponte Pietro Bucci, Building 45C, Third Floor, Arcavacata di Rende, CS, ItalyIn the endeavor to advance industrial engineering and management (IEM) education, this research underscores the imperative of supporting a dynamic and responsive adaptation of a competency-based curriculum (CBC) to meet the demands of an ever-evolving industrial landscape and job market. Our study contributes to competency-based education (CBE) by demonstrating how Artificial Intelligence (AI) can inform the definition of a CBC in the IEM field, thus initiating the pioneering steps towards a collaborative human-AI approach in CBC design. Through a stepwise methodology based on semantic analysis, text mining, natural language processing (NLP) models, informetrics approaches, and clustering algorithms, we provide data-driven insights to inform the curriculum development process. This approach enabled us to identify educational gap, particularly in domains such as digital twin engineering and human-centric IEM. Moreover, this study advocates for higher education institutions (HEIs) to embrace a more structured and collaborative approach to continuously developing competency-based curricula. In this perspective, AI (including generative AI) emerges as a valuable ally in curriculum design. This approach proves instrumental in crafting competitive and appealing curricula, especially at peripheral universities. This study culminates in an updated WING model showing how to build Industry 5.0 related curricula and a series of recommendations for engineering educators.http://www.sciencedirect.com/science/article/pii/S2666920X24000596Engineering educationIndustry 5.0Industrial engineering and managementCurriculum developmentArtificial intelligenceCompetency-based education |
| spellingShingle | Antonio Padovano Martina Cardamone Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education Computers and Education: Artificial Intelligence Engineering education Industry 5.0 Industrial engineering and management Curriculum development Artificial intelligence Competency-based education |
| title | Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education |
| title_full | Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education |
| title_fullStr | Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education |
| title_full_unstemmed | Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education |
| title_short | Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education |
| title_sort | towards human ai collaboration in the competency based curriculum development process the case of industrial engineering and management education |
| topic | Engineering education Industry 5.0 Industrial engineering and management Curriculum development Artificial intelligence Competency-based education |
| url | http://www.sciencedirect.com/science/article/pii/S2666920X24000596 |
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