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"Prompt Engineering for Students of Medicine and Their Teachers" brings the principles of prompt engineering for large language models such as ChatGPT and Google Bard to medical education. This book contains a comprehensive guide to prompt…

Human-Computer Interaction · Computer Science 2023-08-24 Thomas F. Heston

Effective prompt engineering is critical to realizing the promised productivity gains of large language models (LLMs) in knowledge-intensive tasks. Yet, many users struggle to craft prompts that yield high-quality outputs, limiting the…

Human-Computer Interaction · Computer Science 2025-10-02 Niklas Gutheil , Valentin Mayer , Leopold Müller , Jörg Rommelt , Niklas Kühl

Since the advent of GPT-3.5 in 2022, Generative Artificial Intelligence (AI) has shown tremendous potential in STEM education, particularly in providing real-time, customized feedback to students in large-enrollment courses. A crucial skill…

Physics Education · Physics 2025-09-11 Amogh Sirnoorkar , N. Sanjay Rebello

The field of prompt engineering is becoming an essential phenomenon in artificial intelligence. It is altering how data scientists interact with large language models (LLMs) for analytics applications. This research paper shares empirical…

Digital Libraries · Computer Science 2026-02-03 Snehasish Paul , Rohit Kumar , Laxman Das

Artificial Intelligence and especially Large Language Models (LLM), such as ChatGPT has revolutionized the way educators work. The results we get from LLMs depend on how we ask them to help us. The process and the technique behind an…

Physics Education · Physics 2025-10-13 Dimitrios Gousopoulos

The widespread adoption of large language models (LLMs) such as ChatGPT, Gemini, and DeepSeek has significantly changed how people approach tasks in education, professional work, and creative domains. This paper investigates how the…

Human-Computer Interaction · Computer Science 2025-08-29 Rizal Khoirul Anam

With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight students' (mis)use of LLMs can hinder learning outcomes.…

Human-Computer Interaction · Computer Science 2025-07-01 Ruiwei Xiao , Xinying Hou , Runlong Ye , Majeed Kazemitabaar , Nicholas Diana , Michael Liut , John Stamper

This research investigates the use of customized GPT models to enhance prompting proficiency among architecture students when generating AI-driven images. Prompt engineering is increasingly essential in architectural education due to the…

Human-Computer Interaction · Computer Science 2025-04-28 Juan David Salazar Rodriguez , Sam Conrad Joyce , Julfendi

In the current study,we propose that, in the era of generative AI, there is now a new form of literacy called "prompt literacy," which refers to the ability to generate precise prompts as input for AI systems, interpret the outputs, and…

Human-Computer Interaction · Computer Science 2023-11-10 Yohan Hwang , Jang Ho Lee , Dongkwang Shin

The rapid adoption of generative artificial intelligence (GenAI) in schools raises concerns about students' uncritical reliance on its outputs. Effective use of large language models (LLMs) requires not only technical knowledge but also the…

Computers and Society · Computer Science 2026-04-03 O. Clerc , R. Abdelghani , C. Desvaux , E. Poisson , P. Y. Oudeyer , H. Sauzéon

As AI tools such as ChatGPT enter programming classrooms, students encounter differing rules across courses and instructors, which shape how they use AI and leave them with unequal capabilities for leveraging it. We investigate how students…

Human-Computer Interaction · Computer Science 2026-04-14 Tianyu Shao , Miguel Feijóo-García , Yi Zhang , Hugo Castellanos , Tawfiq Salem , Alejandra Magana , Tianyi Li

This comprehensive review delves into the pivotal role of prompt engineering in unleashing the capabilities of Large Language Models (LLMs). The development of Artificial Intelligence (AI), from its inception in the 1950s to the emergence…

Computation and Language · Computer Science 2025-06-18 Banghao Chen , Zhaofeng Zhang , Nicolas Langrené , Shengxin Zhu

The integration of AI assistants, especially through the development of Large Language Models (LLMs), into computer science education has sparked significant debate. An emerging body of work has looked into using LLMs in education, but few…

Human-Computer Interaction · Computer Science 2024-05-06 Wenhan Lyu , Yimeng Wang , Tingting , Chung , Yifan Sun , Yixuan Zhang

Prompt engineering has rapidly emerged as a critical skill for effective interaction with large language models (LLMs). However, the cognitive and neural underpinnings of this expertise remain largely unexplored. This paper presents…

As large language models (LLMs) advance and become widespread, students increasingly turn to systems like ChatGPT for assistance with writing tasks. Educators are concerned with students' usage of ChatGPT beyond cheating; using ChatGPT may…

Human-Computer Interaction · Computer Science 2026-04-23 Andrew Jelson , Daniel Manesh , Alice Jang , Daniel Dunlap , Young-Ho Kim , Sang Won Lee

This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian country. Various question types were completed, and ChatGPT…

Computers and Society · Computer Science 2023-11-03 Thanh Nguyen Ngoc , Quang Nhat Tran , Arthur Tang , Bao Nguyen , Thuy Nguyen , Thanh Pham

The paper aims to fulfil three main functions: (1) to serve as an introduction for the physics education community to the functioning of Large Language Models (LLMs), (2) to present a series of illustrative examples demonstrating how…

Physics Education · Physics 2024-01-31 Giulia Polverini , Bor Gregorcic

This paper introduces Prompt-to-Primal (P2P) Teaching, an AI-integrated instructional approach that links prompt-driven exploration with first-principles reasoning, guided and moderated by the instructor within the classroom setting. In P2P…

Computers and Society · Computer Science 2025-10-22 Euzeli dos Santos

As Artificial Intelligence (AI) becomes increasingly integrated into daily life, there is a growing need to equip the next generation with the ability to apply, interact with, evaluate, and collaborate with AI systems responsibly. Prior…

Human-Computer Interaction · Computer Science 2025-12-09 Ruiwei Xiao , Xinying Hou , Ying-Jui Tseng , Hsuan Nieu , Guanze Liao , John Stamper , Kenneth R. Koedinger

Prior research shows that how students engage with Large Language Models (LLMs) influences their problem-solving and understanding, reinforcing the need to support productive LLM-uses that promote learning. This study evaluates the impact…

Computers and Society · Computer Science 2025-08-25 Jerome Brender , Laila El-Hamamsy , Kim Uittenhove , Francesco Mondada , Engin Bumbacher
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