Analysis the Benefits of ChatGPT Implementation on Student Knowledge Development in Case-Based Learning (CBL)

The development of AI technology has been widely implemented in various sectors, one of which is education where it is used as a source of information to determine the effect of ChatGPT in the development and understanding of students in Case Based Learning. Case Base Learning is a learning sector that requires critical thinking, cognition skills, and the ability to represent processed information, and with AI, students were expected to have more observation regarding the case's topic. This research was conducted to test the capabilities of ChatGPT against other AI's differentiated based on NLP groupings in the context of moderating. Gemini and Copilot became the other Ai's that we choose to be an additional variable in the research process. The analysis method used in this research was done by distributing questionnaires to purposely selected 100 samples. The tool for the data analysis process is using SmartPLS 4.0 by using the moderation model. From the data processing conducted it was found that based on the specified research model, ChatGPT affects Student Knowledge Development by 65.4%, while in practice, Other AI variables can negatively interfere ChatGPT output by 6%. As the result of this observation, it shows that the comprehension index of ChatGPT to help student's learning and knowledge level was dominant and consistent, based on collected data about the significant level and comparison between ChatGPT with other AIs.

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Published
2024-11-29
DOI
https://doi.org/10.1109/icoris63540.2024.10903835
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
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article

Analysis the Benefits of ChatGPT Implementation on Student Knowledge Development in Case-Based Learning (CBL)

Sulistyo Heripracoyo, Samuel Tanuwijaya, Jerry Agustinus
Artificial Intelligence in Healthcare and Education
article

Analysis the Benefits of ChatGPT Implementation on Student Knowledge Development in Case-Based Learning (CBL)

Sulistyo Heripracoyo, Samuel Tanuwijaya, Jerry Agustinus
article en

Abstract

The development of AI technology has been widely implemented in various sectors, one of which is education where it is used as a source of information to determine the effect of ChatGPT in the development and understanding of students in Case Based Learning. Case Base Learning is a learning sector that requires critical thinking, cognition skills, and the ability to represent processed information, and with AI, students were expected to have more observation regarding the case's topic. This research was conducted to test the capabilities of ChatGPT against other AI's differentiated based on NLP groupings in the context of moderating. Gemini and Copilot became the other Ai's that we choose to be an additional variable in the research process. The analysis method used in this research was done by distributing questionnaires to purposely selected 100 samples. The tool for the data analysis process is using SmartPLS 4.0 by using the moderation model. From the data processing conducted it was found that based on the specified research model, ChatGPT affects Student Knowledge Development by 65.4%, while in practice, Other AI variables can negatively interfere ChatGPT output by 6%. As the result of this observation, it shows that the comprehension index of ChatGPT to help student's learning and knowledge level was dominant and consistent, based on collected data about the significant level and comparison between ChatGPT with other AIs.

Binus University (ID)
Openalex Percentile: Top 80%
Artificial Intelligence in Healthcare and Education
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