Unveiling Generative AI in Higher Education: Insights from Engineering Students and Professors.

被引:2
作者
Guillen-Yparrea, Nicia [1 ]
Hernandez-Rodriguez, Felipe [2 ]
机构
[1] Tecnol Monterrey, Engn & Sci Sch, Monterrey, Mexico
[2] Tecnol Monterrey, Engn & Sci Sch, Saltillo, Coahuila, Mexico
来源
2024 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE, EDUCON 2024 | 2024年
关键词
Educational innovation; Higher education; GenAI; Generative AI; Artificial Intelligence; Engineering education; Student development;
D O I
10.1109/EDUCON60312.2024.10578876
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The widespread use of Generative Artificial Intelligence (GenAI) tools in higher education, particularly among university students, has raised ethical concerns regarding unintentional plagiarism. Although these tools offer benefits such as time-saving and improved quality, with over 100 available applications, they may inadvertently include borrowed content, posing challenges to academic integrity. Ethical concerns arise within educational institutions, faculty, and integrity committees, complicating evaluations of originality. To address these concerns, universities must establish clear guidelines and educational programs for responsible use of GenAI applications. Educators need to remain current with the latest AI technologies, become proficient in their use, and utilize advanced techniques to teach students how to use them appropriately. This mixed-methods study examines undergraduate engineering students' understanding of GenAI, its usage and ethical implications. The findings demonstrate that ChatGPT is the most popular GenAI application among the students, but also highlight the professors' unfavorable attitudes towards GenAI. The study endeavors to improve understanding of perspectives on GenAI in higher education, facilitating responsible technology integration in classrooms and fostering students' ethical growth. The investigation provides valuable insights for professors, institutions, and research communities engaged in student development and educational advancement. This study also shows a panorama of strategies that could be implemented by teachers to incorporate GenAI in higher education.
引用
收藏
页数:5
相关论文
共 10 条
[1]  
Adeniran A.O., 2019, Application of Likert Scale Type and Cronbach's Alpha Analysis
[2]   Generative AI in Education and Research: Opportunities, Concerns, and Solutions [J].
Alasadi, Eman A. A. ;
Baiz, Carlos R. R. .
JOURNAL OF CHEMICAL EDUCATION, 2023, 100 (08) :2965-2971
[3]   Artificial Intelligence in Education: A Review [J].
Chen, Lijia ;
Chen, Pingping ;
Lin, Zhijian .
IEEE ACCESS, 2020, 8 (08) :75264-75278
[4]   The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney [J].
Chiu, Thomas K. F. .
INTERACTIVE LEARNING ENVIRONMENTS, 2024, 32 (10) :6187-6203
[5]   Generative AI, generating precariousness for workers? [J].
Del Castillo, Aida Ponce .
AI & SOCIETY, 2024, 39 (05) :2601-2602
[6]  
Fui-Hoon Nah F., 2023, Journal of Information Technology Case Application Research, V25, P277, DOI [10.1080/15228053.2023.2233814, DOI 10.1080/15228053.2023.2233814, 10.1080/15228053.2023.2264571]
[7]   ChatGPT for good? On opportunities and challenges of large language models for education [J].
Kasneci, Enkelejda ;
Sessler, Kathrin ;
Kuechemann, Stefan ;
Bannert, Maria ;
Dementieva, Daryna ;
Fischer, Frank ;
Gasser, Urs ;
Groh, Georg ;
Guennemann, Stephan ;
Huellermeier, Eyke ;
Krusche, Stepha ;
Kutyniok, Gitta ;
Michaeli, Tilman ;
Nerdel, Claudia ;
Pfeffer, Juergen ;
Poquet, Oleksandra ;
Sailer, Michael ;
Schmidt, Albrecht ;
Seidel, Tina ;
Stadler, Matthias ;
Weller, Jochen ;
Kuhn, Jochen ;
Kasneci, Gjergji .
LEARNING AND INDIVIDUAL DIFFERENCES, 2023, 103
[8]  
Lund Brady D., 2023, Library Hi Tech News, P26, DOI 10.1108/LHTN-01-2023-0009
[9]   Detection of GPT-4 Generated Text in Higher Education: Combining Academic Judgement and Software to Identify Generative AI Tool Misuse [J].
Perkins, Mike ;
Roe, Jasper ;
Postma, Darius ;
McGaughran, James ;
Hickerson, Don .
JOURNAL OF ACADEMIC ETHICS, 2024, 22 (01) :89-113
[10]   Generative AI: Here to stay, but for good? [J].
Saetra, Henrik Skaug .
TECHNOLOGY IN SOCIETY, 2023, 75