Engineering Educators' Perspectives on the Impact of Generative AI in Higher Education

• URL: http://arxiv.org/abs/2502.00569v2
• Date: Tue, 11 Feb 2025 21:50:49 GMT
• Title: Engineering Educators' Perspectives on the Impact of Generative AI in Higher Education
• Authors: Umama Dewan, Ashish Hingle, Nora McDonald, Aditya Johri,
• Abstract summary: This study reports findings from a survey of engineering educators on their use of and perspectives toward generative AI. We asked them about their use of and comfort with GenAI, their overall perspectives on GenAI, the challenges and potential harms of using it for teaching, learning, and research, and examined whether their approach to using and integrating GenAI in their classroom influenced their experiences with GenAI and perceptions of it.
• Score: 4.06279597585806
• License:
• Abstract: The introduction of generative artificial intelligence (GenAI) has been met with a mix of reactions by higher education institutions, ranging from consternation and resistance to wholehearted acceptance. Previous work has looked at the discourse and policies adopted by universities across the U.S. as well as educators, along with the inclusion of GenAI-related content and topics in higher education. Building on previous research, this study reports findings from a survey of engineering educators on their use of and perspectives toward generative AI. Specifically, we surveyed 98 educators from engineering, computer science, and education who participated in a workshop on GenAI in Engineering Education to learn about their perspectives on using these tools for teaching and research. We asked them about their use of and comfort with GenAI, their overall perspectives on GenAI, the challenges and potential harms of using it for teaching, learning, and research, and examined whether their approach to using and integrating GenAI in their classroom influenced their experiences with GenAI and perceptions of it. Consistent with other research in GenAI education, we found that while the majority of participants were somewhat familiar with GenAI, reported use varied considerably. We found that educators harbored mostly hopeful and positive views about the potential of GenAI. We also found that those who engaged more with their students on the topic of GenAI, tend to be more positive about its contribution to learning, while also being more attuned to its potential abuses. These findings suggest that integrating and engaging with generative AI is essential to foster productive interactions between instructors and students around this technology.

Related papers

• Generative AI in Modern Education Society [0.6798775532273751]
  Transitioning from Education 1.0 to Education 5.0, the integration of generative artificial intelligence (GenAI) revolutionizes the learning environment. Our understanding of academic integrity and the scholarship of teaching, learning, and research has been revolutionised by GenAI.
  arXiv  Detail & Related papers  (2024-12-10T09:11:06Z)
• Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023 [38.83649319653387]
  There is limited prior research on computing students' use and perceptions of GenAI. We surveyed all computer science majors in a small engineering-focused R1 university. We discuss the impact of our findings on the emerging conversation around GenAI and education.
  arXiv  Detail & Related papers  (2024-11-17T20:17:47Z)
• "I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI [55.99010491370177]
  We argue that we cannot thoroughly map the social impacts of generative AI without mapping the social impacts of anthropomorphic AI. anthropomorphic AI systems are increasingly prone to generating outputs that are perceived to be human-like.
  arXiv  Detail & Related papers  (2024-10-11T04:57:41Z)
• The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles [65.14115295214636]
  We specifically consider Internet of electric vehicles (IoEV) and we categorize GenAI for IoEV into four different layers. We introduce various GenAI techniques used in each layer of IoEV applications. Public datasets available for training the GenAI models are summarized.
  arXiv  Detail & Related papers  (2024-09-24T05:12:10Z)
• Measuring Human Contribution in AI-Assisted Content Generation [66.06040950325969]
  This study raises the research question of measuring human contribution in AI-assisted content generation. By calculating mutual information between human input and AI-assisted output relative to self-information of AI-assisted output, we quantify the proportional information contribution of humans in content generation.
  arXiv  Detail & Related papers  (2024-08-27T05:56:04Z)
• Model-based Maintenance and Evolution with GenAI: A Look into the Future [47.93555901495955]
  We argue that Generative Artificial Intelligence (GenAI) can be used as a means to address the limitations of Model-Based Engineering (MBM&E) We propose that GenAI can be used in MBM&E for: reducing engineers' learning curve, maximizing efficiency with recommendations, or serving as a reasoning tool to understand domain problems.
  arXiv  Detail & Related papers  (2024-07-09T23:13:26Z)
• Innovating Computer Programming Pedagogy: The AI-Lab Framework for Generative AI Adoption [0.0]
  We introduce "AI-Lab," a framework for guiding students in effectively leveraging GenAI within core programming courses. By identifying and rectifying GenAI's errors, students enrich their learning process. For educators, AI-Lab provides mechanisms to explore students' perceptions of GenAI's role in their learning experience.
  arXiv  Detail & Related papers  (2023-08-23T17:20:37Z)
• The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers? [0.0]
  Gen Z students were generally optimistic about the potential benefits of generative AI (GenAI) Gen X and Gen Y teachers expressed heightened concerns about overreliance, ethical and pedagogical implications.
  arXiv  Detail & Related papers  (2023-05-04T14:42:06Z)
• Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education [2.0711789781518752]
  This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. Concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed.
  arXiv  Detail & Related papers  (2023-04-29T15:53:38Z)
• Human-Centered Responsible Artificial Intelligence: Current & Future Trends [76.94037394832931]
  In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence. All of this work is aimed at developing AI that benefits humanity while being grounded in human rights and ethics, and reducing the potential harms of AI. In this special interest group, we aim to bring together researchers from academia and industry interested in these topics to map current and future research trends.
  arXiv  Detail & Related papers  (2023-02-16T08:59:42Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.