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Generative artificial intelligence (GenAI) has the potential to improve healthcare through automation that enhances the quality and safety of patient care. Powered by foundation models that have been pretrained and can generate complex…

计算机与社会 · 计算机科学 2024-07-25 Laleh Jalilian , Daniel McDuff , Achuta Kadambi

The growing use of Generative AI (GenAI) conversational search tools has raised concerns about their effects on people's metacognitive engagement, critical thinking, and learning. As people increasingly rely on GenAI to perform tasks such…

人机交互 · 计算机科学 2026-03-19 Anjali Singh , Zhitong Guan , Soo Young Rieh

Generative artificial intelligence (GenAI) is increasingly used to support a wide range of human tasks, yet empirical evidence on its effect on creativity remains scattered. Can GenAI generate ideas that are creative? To what extent can it…

人机交互 · 计算机科学 2025-05-26 Niklas Holzner , Sebastian Maier , Stefan Feuerriegel

This article explores the potential of generative AI (GenAI) to support actuarial practice through four implemented case studies. It situates these case studies within the broader evolution of artificial intelligence in actuarial science,…

计算机与社会 · 计算机科学 2026-04-21 Simon Hatzesberger , Iris Nonneman

Generative AI (GenAI) tools are radically expanding the scope and capability of automation in knowledge work such as academic research. While promising for augmenting cognition and streamlining processes, AI-assisted research tools may also…

人机交互 · 计算机科学 2025-04-22 Runlong Ye , Matthew Varona , Oliver Huang , Patrick Yung Kang Lee , Michael Liut , Carolina Nobre

This study explores students' self-initiated use of Generative Artificial Intelligence (GenAI) tools in an interactive systems design class. Through 12 group interviews, students revealed the dual nature of GenAI in (1) stimulating…

人机交互 · 计算机科学 2024-05-03 Hauke Sandhaus , Maria Teresa Parreira , Wendy Ju

Generative AI (GenAI) tools enhance social media video creation by streamlining tasks such as scriptwriting, visual and audio generation, and editing. These tools enable the creation of new content, including text, images, audio, and video,…

人机交互 · 计算机科学 2025-03-06 Torin Anderson , Shuo Niu

Generative AI (GenAI) can generate working code with minimal effort, creating a tension in introductory programming: students need timely help, yet direct solutions invite copying and can short-circuit reasoning. To address this, we propose…

人机交互 · 计算机科学 2026-03-26 Boxuan Ma , Shinichi Konomi

While Generative AI has demonstrated strong potential and versatility in content generation, its application to educational contexts presents several challenges. Models often fail to align with curriculum standards and maintain…

计算与语言 · 计算机科学 2025-06-12 Zhengyuan Liu , Stella Xin Yin , Dion Hoe-Lian Goh , Nancy F. Chen

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

人工智能 · 计算机科学 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

The lack of high-quality data for content-grounded generation tasks has been identified as a major obstacle to advancing these tasks. To address this gap, we propose Genie, a novel method for automatically generating high-quality…

计算与语言 · 计算机科学 2024-01-26 Asaf Yehudai , Boaz Carmeli , Yosi Mass , Ofir Arviv , Nathaniel Mills , Assaf Toledo , Eyal Shnarch , Leshem Choshen

Over the last year, the ascent of Generative AI (GenAI) has raised concerns about its impact on core skill development, such as problem-solving and algorithmic thinking, in Computer Science students. Preliminary anonymous surveys show that…

计算机与社会 · 计算机科学 2024-09-23 Ethan Dickey , Andres Bejarano , Chirayu Garg

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…

计算机与社会 · 计算机科学 2026-04-03 O. Clerc , R. Abdelghani , C. Desvaux , E. Poisson , P. Y. Oudeyer , H. Sauzéon

This study investigates how LLMs, specifically GPT-3.5 and GPT-4, can develop tailored questions for Grade 9 math, aligning with active learning principles. By utilizing an iterative method, these models adjust questions based on difficulty…

计算与语言 · 计算机科学 2024-06-21 Hamdireza Rouzegar , Masoud Makrehchi

Generative AI models are capable of performing a wide variety of tasks that have traditionally required creativity and human understanding. During training, they learn patterns from existing data and can subsequently generate new content…

Generative AI (GenAI) search tools are increasingly used for information seeking, yet their design tends to encourage cognitive offloading, which may lead to passive engagement, selective attention, and informational homogenization.…

人机交互 · 计算机科学 2026-03-23 Anjali Singh , Karan Taneja , Zhitong Guan , Soo Young Rieh

Beginning with text and images, generative AI has expanded to audio, video, computer code, and molecules. Yet, if generative AI is the answer, what is the question? We explore the foundations of generation as a distinct machine learning…

机器学习 · 计算机科学 2025-12-12 Ambuj Tewari

Generative Artificial Intelligence (GenAI) in Education has in a few short months moved from being the topic of discussion around speculative education futures to a very concrete reality. It is clear that the future of education, as all…

计算机与社会 · 计算机科学 2023-09-25 B. Mairead Pratschke

Computational thinking, and by extension, computer programming, is notoriously challenging to learn. Conversational agents and generative artificial intelligence (genAI) have the potential to facilitate this learning process by offering…

人机交互 · 计算机科学 2024-06-17 Jacob Penney , João Felipe Pimentel , Igor Steinmacher , Marco A. Gerosa

Generative AI is reshaping higher education, yet research has focused largely on students, while instructors remain understudied despite their central role in mediating adoption and modeling responsible use. We present the \textit{AI…

人机交互 · 计算机科学 2025-09-24 Si Chen , Xiuxiu Tang , Alison Cheng , Nitesh Chawla , G. Alex Ambrose , Ronald Metoyer