Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines

被引:0
|
作者
Wang, Hui [1 ]
Dang, Anh [1 ]
Wu, Zihao [2 ]
Mac, Son [3 ]
机构
[1] Second Language Acquisition and Teaching, University of Arizona, 1103 E. 2nd St, Tucson,AZ,85721, United States
[2] School of Computing, University of Georgia, 415 Boyd Research, Education Center, Athens,GA,30602, United States
[3] Department of Electrical & Computer Engineering, University of Arizona, 1230 E. Speedway Blvd, Tucson,AZ,85721, United States
关键词
Contrastive Learning - Generative adversarial networks;
D O I
10.1016/j.caeai.2024.100326
中图分类号
学科分类号
摘要
The advancements in Generative Artificial Intelligence (GenAI) can provide opportunities for enriching educational experiences, but at the same time raise concerns regarding academic integrity. Many educators have expressed anxiety and hesitation when it comes to integrating GenAI in their teaching practices. Thus, recommendations and guidance from institutions are needed to support instructors in this new and emerging GenAI era. In response to this need, this study explores different U.S. universities' academic policies and guidelines regarding the use of GenAI tools (e.g., ChatGPT) for teaching and learning, and from there, gains understanding of how these universities respond and adapt to the development of GenAI in their academic contexts. Data sources include academic policies, statements, guidelines, and relevant resources provided by the top 100 universities in the U.S. Results show that the majority of these universities adopt an open but cautious approach towards GenAI. Primary concerns lie in ethical usage, accuracy, and data privacy. Most universities actively respond and provide diverse types of resources, such as syllabus templates, workshops, shared articles, and one-on-one consultations; focusing on a range of topics, namely general technical introduction, ethical concerns, pedagogical applications, preventive strategies, data privacy, limitations, and detective tools. The findings provide four practical pedagogical implications for educators when considering GenAI in teaching practices: 1) accepting GenAI presence, 2) aligning GenAI use with learning objectives, 3) evolving curriculum to prevent misuse of GenAI, and 4) adopting multifaceted evaluation strategies. For recommendations toward policy making, the article suggests two possible directions for the use of GenAI tools: 1) establishing discipline-specific policies and guidelines, and 2) managing students' sensitive information in a transparent and careful manner. © 2024 The Authors
引用
收藏
相关论文
共 50 条
  • [1] Generative AI in Higher Education (The ChatGPT effect)
    Fan, Mengke
    Irawan, Nico
    AI & SOCIETY, 2025,
  • [2] Generative AI in higher education: the ChatGPT effect
    Mawarsih, Putri Beny
    Nadzifah, Hidayatun
    Widuri, Ananda Wahyu Puspa
    Kurniawati, Erika
    ASIA PACIFIC JOURNAL OF EDUCATION, 2025,
  • [3] Generative AI in higher education: A global perspective of institutional adoption policies and guidelines
    Jin, Yueqiao
    Yan, Lixiang
    Echeverria, Vanessa
    Gašević, Dragan
    Martinez-Maldonado, Roberto
    Computers and Education: Artificial Intelligence, 2025, 8
  • [4] Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
    Michel-Villarreal, Rosario
    Vilalta-Perdomo, Eliseo
    Salinas-Navarro, David Ernesto
    Thierry-Aguilera, Ricardo
    Gerardou, Flor Silvestre
    EDUCATION SCIENCES, 2023, 13 (09):
  • [5] Generative AI and higher education: a review of claims from the first months of ChatGPT
    Jensen, Lasse X.
    Buhl, Alexandra
    Sharma, Anjali
    Bearman, Margaret
    HIGHER EDUCATION, 2024,
  • [6] Investigating the higher education institutions' guidelines and policies regarding the use of generative AI in teaching, learning, research, and administration
    An, Yunjo
    Yu, Ji Hyun
    James, Shadarra
    INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION, 2025, 22 (01):
  • [7] The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney
    Chiu, Thomas K. F.
    INTERACTIVE LEARNING ENVIRONMENTS, 2024, 32 (10) : 6187 - 6203
  • [8] Guest Editorial Education in the World of ChatGPT and Generative AI
    Tan, Seng Chee
    Wijekumar, Kay
    Hong, Huaqing
    Olmanson, Justin
    Twomey, Robert
    Sinha, Tanmay
    IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2024, 17 : 2062 - 2064
  • [9] Generative AI in higher education and beyond
    Hashmi, Nada
    Bal, Anjali S.
    BUSINESS HORIZONS, 2024, 67 (05) : 607 - 614
  • [10] Understanding the diffusion of AI-generative (ChatGPT) in higher education: Does students' integrity matter?
    Bouteraa, Mohamed
    Bin-Nashwan, Saeed Awadh
    Al-Daihani, Meshari
    Dirie, Khadar Ahmed
    Benlahcene, Abderrahim
    Sadallah, Mouad
    Zaki, Hafizah Omar
    Lada, Suddin
    Ansar, Rudy
    Fook, Lim Ming
    Chekima, Brahim
    COMPUTERS IN HUMAN BEHAVIOR REPORTS, 2024, 14