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Prompting is central to interaction with AI systems, yet many users struggle to explore alternative directions, articulate creative intent, or understand how variations in prompts shape model outputs. We introduce prompt recommender systems…

人机交互 · 计算机科学 2026-01-23 Jason Kim , Maria Teleki , James Caverlee

Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilities of available platforms and the difficulty of encoding…

Instructors play a pivotal role in integrating AI into education, yet their adoption of AI-powered tools remains inconsistent. Despite this, limited research explores how to design AI tools that support broader instructor adoption. This…

人机交互 · 计算机科学 2025-03-10 Si Chen , Reid Metoyer , Khiem Le , Adam Acunin , Izzy Molnar , Alex Ambrose , James Lang , Nitesh Chawla , Ronald Metoyer

This is the study that presents an AI-Python-based chatbot that helps students to learn programming by demonstrating solutions to such problems as debugging errors, solving syntax problems or converting abstract theoretical concepts to…

软件工程 · 计算机科学 2025-09-26 Sayed Mahbub Hasan Amiri , Md Mainul Islam

As AI writing tools evolve from fixing surface errors to creating language with writers, new capabilities raise concerns about negative impacts on student writers, such as replacing their voices and undermining critical thinking skills. To…

人机交互 · 计算机科学 2026-02-05 Yijun Liu , John Gallagher , Sarah Sterman , Tal August

In this paper, we demonstrate how studying the rhetorics of ChatGPT prompt writing on social media can promote critical AI literacies. Prompt writing is the process of writing instructions for generative AI tools like ChatGPT to elicit…

计算机与社会 · 计算机科学 2025-11-04 Anuj Gupta , Ann Shivers-McNair

Computing students increasingly rely on generative AI tools for programming assistance, often without formal instruction or guidance. This highlights a need to teach students how to effectively interact with AI models, particularly through…

计算机与社会 · 计算机科学 2025-09-15 Victor-Alexandru Pădurean , Paul Denny , Alkis Gotovos , Adish Singla

The ubiquity of technologies like ChatGPT has raised concerns about their impact on student writing, particularly regarding reduced learner agency and superficial engagement with content. While standalone chat-based LLMs often produce…

人机交互 · 计算机科学 2025-06-26 Momin N. Siddiqui , Roy Pea , Hari Subramonyam

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…

人机交互 · 计算机科学 2025-10-02 Niklas Gutheil , Valentin Mayer , Leopold Müller , Jörg Rommelt , Niklas Kühl

This study explores the integration of the ChatGPT API with GPT-4 model and Microsoft Copilot Studio on the Microsoft Teams platform to develop an intelligent tutoring system. Designed to provide instant support to students, the system…

计算与语言 · 计算机科学 2024-05-24 Wei-Yu Chen

As artificial intelligence (AI) becomes a prominent part of modern life, AI literacy is becoming important for all citizens, not just those in technology careers. Previous research in AI education materials has largely focused on the…

计算与语言 · 计算机科学 2022-12-16 Kate Pearce , Sharifa Alghowinem , Cynthia Breazeal

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…

物理教育 · 物理学 2025-10-13 Dimitrios Gousopoulos

The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, achieving high-quality code often requires iterative…

Large language models (LLMs) have demonstrated remarkable potential in natural language understanding and generation, making them valuable tools for enhancing conversational interactions. However, LLMs encounter challenges such as lacking…

人机交互 · 计算机科学 2023-11-10 Guinan Su , Yanwu Yang , Jie Guo

Text entry is an essential task in our day-to-day digital interactions. Numerous intelligent features have been developed to streamline this process, making text entry more effective, efficient, and fluid. These improvements include…

计算与语言 · 计算机科学 2023-10-17 Junxiao Shen , John J. Dudley , Jingyao Zheng , Bill Byrne , Per Ola Kristensson

In this paper, we propose Tutoring bot, a generative chatbot trained on a large scale of tutor-student conversations for English-language learning. To mimic a human tutor's behavior in language education, the tutor bot leverages diverse…

人工智能 · 计算机科学 2023-02-27 Hyungjoo Chae , Minjin Kim , Chaehyeong Kim , Wonseok Jeong , Hyejoong Kim , Junmyung Lee , Jinyoung Yeo

AI chatbots have emerged as promising educational tools for personalized learning experiences, with advances in large language models (LLMs) enabling teachers to create and customize these chatbots for their specific classroom needs.…

人机交互 · 计算机科学 2025-04-07 Minju Yoo , Hyoungwook Jin , Juho Kim

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…

计算机与社会 · 计算机科学 2025-10-22 Euzeli dos Santos

Academic writing skills are crucial for students' success, but can feel overwhelming without proper guidance and practice, particularly when writing in a second language. Traditionally, students ask instructors or search dictionaries, which…

人工智能 · 计算机科学 2025-06-24 Fumian Chen , Sotheara Veng , Joshua Wilson , Xiaoming Li , Hui Fang

The rapid advancement of generative AI has democratized access to powerful tools such as Text-to-Image models. However, to generate high-quality images, users must still craft detailed prompts specifying scene, style, and context-often…

多智能体系统 · 计算机科学 2025-09-25 Dawei Xiang , Wenyan Xu , Kexin Chu , Tianqi Ding , Zixu Shen , Yiming Zeng , Jianchang Su , Wei Zhang
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