Application of ChatGPT for automated problem reframing across academic domains

Einarsson, Hafsteinn; Lund, Sigrún Helga; Jónsdóttir, Anna Helga

doi:10.1016/j.caeai.2023.100194

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…The study focuses on enhancing interdisciplinary learning and demonstrates ChatGPT's ability to adapt problems and make them more accessible in different fields such as biology, economics, law, and engineering. Using expert opinion and insights from 44 computer science students, the study highlights the effectiveness of the model in maintaining theoretical relevance and promoting engagement and emphasizes the practicality of using ChatGPT for interdisciplinary education [33].…”

Section: Modeling Backgroundmentioning

confidence: 98%

Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model

Bratić,

Šapina,

Jurečić

et al. 2024

ASI

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This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of materials for educators and students is essential. This paper presents a hybrid model based on the transformer framework and utilizing an API for an existing large language model (LLM)/chatbot. This integration ensures precise responses drawn from a comprehensive educational materials database. The model architecture uses mathematically defined algorithms for precise functions that enable deep text processing through advanced word embedding methods. This approach improves accuracy in natural language processing and ensures both high efficiency and adaptability. Therefore, this paper not only provides a technical solution to a prevalent problem but also highlights the potential for the continued development and integration of emerging technologies in education. The aim is to create a more efficient, transparent, and accessible educational environment. The importance of this research lies in its ability to streamline material access, benefiting the global scientific community and contributing to the continuous advancement of educational technology.

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Section: Modeling Backgroundmentioning

confidence: 98%

Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model

Bratić,

Šapina,

Jurečić

et al. 2024

ASI

View full text Add to dashboard Cite

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Revolutionizing Cardiology With Words: Unveiling the Impact of Large Language Models in Medical Science Writing

Bhattaru,

Yanamala,

Sengupta

2024

Canadian Journal of Cardiology

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Transformative learning with ChatGPT: analyzing adoption trends and implications for business management students in India

Sudan,

Hans,

Taggar

2024

ITSE

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Purpose The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT. Design/methodology/approach While evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings. Findings Habit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption. Social implications There is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively. Originality/value With the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.

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Application of ChatGPT for automated problem reframing across academic domains

Cited by 4 publications

References 19 publications

Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model

Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model

Revolutionizing Cardiology With Words: Unveiling the Impact of Large Language Models in Medical Science Writing

Transformative learning with ChatGPT: analyzing adoption trends and implications for business management students in India

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