ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks
Artificial Intelligence (AI) is rapidly and consistently becoming more integrated in various aspects of our lives. One of the areas where these systems are increasingly used is education. In fact, it is both being incorporated into specific curricula, allowing students the possibility to acquire ski...
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| Format: | Article |
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Elsevier
2025-06-01
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| Series: | Computers and Education: Artificial Intelligence |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X24001577 |
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| author | Fiammetta Caccavale Carina L. Gargalo Julian Kager Steen Larsen Krist V. Gernaey Ulrich Krühne |
| author_facet | Fiammetta Caccavale Carina L. Gargalo Julian Kager Steen Larsen Krist V. Gernaey Ulrich Krühne |
| author_sort | Fiammetta Caccavale |
| collection | DOAJ |
| description | Artificial Intelligence (AI) is rapidly and consistently becoming more integrated in various aspects of our lives. One of the areas where these systems are increasingly used is education. In fact, it is both being incorporated into specific curricula, allowing students the possibility to acquire skills within this field, and more recently AI has been used as a tool to facilitate the teaching and learning process. However, an increased demand and availability of these tools do not imply a successful switch from traditional to AI-supported learning.In this work, ChatGMP, a chatbot leveraging a Large Language Model (LLM) able to conduct an interview exercise in a Master's Degree course taught at the Technical University of Denmark (DTU), is introduced. The exercise consists in a student interview of a fictitious company, represented by the teachers or ChatGMP, regarding its Good Manufacturing Practices (GMP). The aim is for the students to ask sensible and well-reasoned questions to acquire the necessary documentation to make an exhaustive report indicating whether the company is a potential fit for business. To evaluate the initiative, we compare the performance of ChatGMP to the one of the physical teachers of the course, as well as the perception of the students towards it. The results show no significant difference in the information provided by the teachers and the model, enabling the students to achieve similar learning. The students that interacted with ChatGMP are satisfied with the initiative and would likely recommend future students to perform the audit with the digital tool. This initial experiment and its positive results lay the foundation for opening the discussion on how to use LLMs in education, the opportunities they could provide, as well as their limitations and drawbacks. |
| format | Article |
| id | doaj-art-db9b170691ee4b6cb1e8e853f8a1538a |
| institution | Kabale University |
| issn | 2666-920X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers and Education: Artificial Intelligence |
| spelling | doaj-art-db9b170691ee4b6cb1e8e853f8a1538a2025-01-04T04:57:16ZengElsevierComputers and Education: Artificial Intelligence2666-920X2025-06-018100354ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasksFiammetta Caccavale0Carina L. Gargalo1Julian Kager2Steen Larsen3Krist V. Gernaey4Ulrich Krühne5Process and System Engineering Centre (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228 A, 2800 Kgs. Lyngby, DenmarkProcess and System Engineering Centre (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228 A, 2800 Kgs. Lyngby, DenmarkPilot Plant, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228 A, 2800 Kgs. Lyngby, DenmarkPilot Plant, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228 A, 2800 Kgs. Lyngby, DenmarkProcess and System Engineering Centre (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228 A, 2800 Kgs. Lyngby, DenmarkProcess and System Engineering Centre (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads, Building 228 A, 2800 Kgs. Lyngby, Denmark; Corresponding author.Artificial Intelligence (AI) is rapidly and consistently becoming more integrated in various aspects of our lives. One of the areas where these systems are increasingly used is education. In fact, it is both being incorporated into specific curricula, allowing students the possibility to acquire skills within this field, and more recently AI has been used as a tool to facilitate the teaching and learning process. However, an increased demand and availability of these tools do not imply a successful switch from traditional to AI-supported learning.In this work, ChatGMP, a chatbot leveraging a Large Language Model (LLM) able to conduct an interview exercise in a Master's Degree course taught at the Technical University of Denmark (DTU), is introduced. The exercise consists in a student interview of a fictitious company, represented by the teachers or ChatGMP, regarding its Good Manufacturing Practices (GMP). The aim is for the students to ask sensible and well-reasoned questions to acquire the necessary documentation to make an exhaustive report indicating whether the company is a potential fit for business. To evaluate the initiative, we compare the performance of ChatGMP to the one of the physical teachers of the course, as well as the perception of the students towards it. The results show no significant difference in the information provided by the teachers and the model, enabling the students to achieve similar learning. The students that interacted with ChatGMP are satisfied with the initiative and would likely recommend future students to perform the audit with the digital tool. This initial experiment and its positive results lay the foundation for opening the discussion on how to use LLMs in education, the opportunities they could provide, as well as their limitations and drawbacks.http://www.sciencedirect.com/science/article/pii/S2666920X24001577Artificial IntelligenceLarge Language ModelsPrompt engineeringEducation 4.0Higher educationChatbots in education |
| spellingShingle | Fiammetta Caccavale Carina L. Gargalo Julian Kager Steen Larsen Krist V. Gernaey Ulrich Krühne ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks Computers and Education: Artificial Intelligence Artificial Intelligence Large Language Models Prompt engineering Education 4.0 Higher education Chatbots in education |
| title | ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks |
| title_full | ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks |
| title_fullStr | ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks |
| title_full_unstemmed | ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks |
| title_short | ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks |
| title_sort | chatgmp a case of ai chatbots in chemical engineering education towards the automation of repetitive tasks |
| topic | Artificial Intelligence Large Language Models Prompt engineering Education 4.0 Higher education Chatbots in education |
| url | http://www.sciencedirect.com/science/article/pii/S2666920X24001577 |
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