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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…

人机交互 · 计算机科学 2026-04-14 Tianyu Shao , Miguel Feijóo-García , Yi Zhang , Hugo Castellanos , Tawfiq Salem , Alejandra Magana , Tianyi Li

The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People can now use natural language (i.e. prompts) to communicate…

软件工程 · 计算机科学 2023-12-21 Yu Cheng , Jieshan Chen , Qing Huang , Zhenchang Xing , Xiwei Xu , Qinghua Lu

Generative AI tools such as ChatGPT now provide novice programmers with unprecedented access to instant, personalized support. While this holds clear promise, their influence on students' metacognitive processes remains underexplored.…

人机交互 · 计算机科学 2025-11-07 Boxuan Ma , Huiyong Li , Gen Li , Li Chen , Cheng Tang , Yinjie Xie , Chenghao Gu , Atsushi Shimada , Shin'ichi Konomi

Patients with schizophrenia often present with cognitive impairments that may hinder their ability to learn about their condition. These individuals could benefit greatly from education platforms that leverage the adaptability of Large…

计算与语言 · 计算机科学 2024-10-18 Per Niklas Waaler , Musarrat Hussain , Igor Molchanov , Lars Ailo Bongo , Brita Elvevåg

Advancements in Large Language Models (LLMs), such as ChatGPT, offer significant opportunities to enhance instructional support in introductory programming courses. While extensive research has explored the effectiveness of LLMs in…

人机交互 · 计算机科学 2025-05-09 Muntasir Hoq , Jessica Vandenberg , Shuyin Jiao , Seung Lee , Bradford Mott , Narges Norouzi , James Lester , Bita Akram

Large Language Models (LLMs) are rapidly transforming software engineering, with coding assistants embedded in an IDE becoming increasingly prevalent. While research has focused on improving the tools and understanding developer…

Large Language Models (LLMs) are revolutionizing the field of computing education with their powerful code-generating capabilities. Traditional pedagogical practices have focused on code writing tasks, but there is now a shift in importance…

Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be intuitive and user-friendly, allowing users to articulate…

"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…

人机交互 · 计算机科学 2023-08-24 Thomas F. Heston

GenAI has rapidly entered instructional and learning settings as a teaching assistant or AI tutor. However, less is known about how pedagogical intent connects to the learning generated within these systems, especially when student-facing…

人机交互 · 计算机科学 2026-04-21 Alex Liu , Min Sun , Lief Esbenshade , Victor Tian , Zachary Zhang , Kevin He

This workshop paper presents a critical examination of the integration of Generative AI (Gen AI) into the academic writing process, focusing on the use of AI as a collaborative tool. It contrasts the performance and interaction of two AI…

人机交互 · 计算机科学 2024-04-26 Joseph Tu , Hilda Hadan , Derrick M. Wang , Sabrina A Sgandurra , Reza Hadi Mogavi , Lennart E. Nacke

The dream of achieving a student-teacher ratio of 1:1 is closer than ever thanks to the emergence of large language models (LLMs). One potential application of these models in the educational field would be to provide feedback to students…

计算机与社会 · 计算机科学 2025-05-06 Marc Ballestero-Ribó , Daniel Ortiz-Martínez

Artificial Intelligence (AI) has the potential to fundamentally change the educational landscape. So far, much of the physics education research relating to AI has focused on lecture-based assessment and the ability of ChatGPT to answer…

物理教育 · 物理学 2024-01-02 Andrew Low , Z. Yasemin Kalender

Over the past decade, predictive language modeling for code has proven to be a valuable tool for enabling new forms of automation for developers. More recently, we have seen the advent of general purpose "large language models", based on…

软件工程 · 计算机科学 2023-06-05 Sajed Jalil , Suzzana Rafi , Thomas D. LaToza , Kevin Moran , Wing Lam

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…

人机交互 · 计算机科学 2025-12-09 Ruiwei Xiao , Xinying Hou , Ying-Jui Tseng , Hsuan Nieu , Guanze Liao , John Stamper , Kenneth R. Koedinger

Human-LLM conversations are increasingly becoming more pervasive in peoples' professional and personal lives, yet many users still struggle to elicit helpful responses from LLM Chatbots. One of the reasons for this issue is users' lack of…

With their remarkable ability to generate code, large language models (LLMs) are a transformative technology for computing education practice. They have created an urgent need for educators to rethink pedagogical approaches and teaching…

Higher education instructors often lack timely and pedagogically grounded support, as scalable instructional guidance remains limited and existing tools rely on generic chatbot advice or non-scalable teaching center human-human…

人工智能 · 计算机科学 2026-03-20 Isabel Molnar , Peiyu Li , Si Chen , Sugana Chawla , James Lang , Ronald Metoyer , Ting Hua , Nitesh V. Chawla

Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control. Prompting a generative model is a promising recent development that in principle enables…

人机交互 · 计算机科学 2022-09-07 Hai Dang , Lukas Mecke , Florian Lehmann , Sven Goller , Daniel Buschek

Large language models (LLMs) require well-crafted prompts for effective use. Prompt engineering, the process of designing prompts, is challenging, particularly for non-experts who are less familiar with AI technologies. While researchers…

人机交互 · 计算机科学 2024-01-29 Zijie J. Wang , Aishwarya Chakravarthy , David Munechika , Duen Horng Chau