Enhancing educational efficiency: Generative AI chatbots and DevOps in Education 4.0

Abstract The emergence of new technologies has developed a new industrial need for engineering graduate students. This modern industry needs a modern educational framework to support further development. This research revolves around developing the learning methodological approach for university courses that aligns with Education 4.0 and can fulfill the essential knowledge requirements for future engineers in Industry 4.0. We used a constructive approach as a baseline methodology already proven in the field of engineering education. On the other hand, we modified this approach by implementing Industry 4.0 standards, such as Agile methodology, DevOps tools, and Artificial intelligence chatbots. In this way, we managed to establish one more step in the digital transformation of education as one of the paramount cornerstones of Industry 4.0. As a result, during the course, Agile methodology and DevOps tools created a learning environment very similar to the real software development environment in companies. The efficiency of the delivery of the learning material also increased by implementation and integration of AI chatbots. This was tracked by the number of projects developed during course implementation. The study showed that in the field of education, the implementation of novel approaches developed in the industry to increase efficiency can be implemented in the educational environment. It also showed that the implementation of those methodologies does not hinder but improves the efficiency of the educational cycle.

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Institutions

Publication Details

Journal
Computer Applications in Engineering Education
Published
2024-10-27
DOI
https://doi.org/10.1002/cae.22804
Citations
11
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
4.53
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article

Enhancing educational efficiency: Generative AI chatbots and DevOps in Education 4.0

Bojan Prlinčević, Ana Savić, Kristijan V. Kuk, Edis Mekić et al.
11 citations
Computer Applications in Engineering Education
Online Learning and Analytics
4.53
article

Enhancing educational efficiency: Generative AI chatbots and DevOps in Education 4.0

Bojan Prlinčević, Ana Savić, Kristijan V. Kuk, Edis Mekić, Mihailo R. Jovanović
article en
11 citations

Abstract

Abstract The emergence of new technologies has developed a new industrial need for engineering graduate students. This modern industry needs a modern educational framework to support further development. This research revolves around developing the learning methodological approach for university courses that aligns with Education 4.0 and can fulfill the essential knowledge requirements for future engineers in Industry 4.0. We used a constructive approach as a baseline methodology already proven in the field of engineering education. On the other hand, we modified this approach by implementing Industry 4.0 standards, such as Agile methodology, DevOps tools, and Artificial intelligence chatbots. In this way, we managed to establish one more step in the digital transformation of education as one of the paramount cornerstones of Industry 4.0. As a result, during the course, Agile methodology and DevOps tools created a learning environment very similar to the real software development environment in companies. The efficiency of the delivery of the learning material also increased by implementation and integration of AI chatbots. This was tracked by the number of projects developed during course implementation. The study showed that in the field of education, the implementation of novel approaches developed in the industry to increase efficiency can be implemented in the educational environment. It also showed that the implementation of those methodologies does not hinder but improves the efficiency of the educational cycle.

Computer Applications in Engineering EducationVol. 32(6)
State University of Novi Pazar (RS), Institute of Technical Sciences of SASA (RS), Ministry of Interior of the Republic of Serbia (RS)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Online Learning and Analytics
4.53
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