Online Student and Faculty Perceptions of Generative AI

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In 2024 and 2025, the Oregon State University Ecampus Research Unit conducted a series of surveys with online students and faculty about their perceptions, knowledge and use of generative AI tools in online courses and in their careers. Faculty were also asked about how they were addressing AI in their online courses and their interests in professional development.

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Read the Student Survey Report

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Read the Faculty Report

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Findings from the student survey

Students demonstrated a deep knowledge of generative AI.

Students were skeptical about information provided by generative AI tools.

Students agreed that generative AI tools would impact their careers.

Students experienced a lack of clarity in course policies.

Students expressed specific concerns about how generative AI tools would impact their education.

Students expressed fewer hopes about generative AI compared to the number of concerns.

Students demonstrated a deep knowledge of generative AI.

However, they used generative AI tools more in personal and professional activities than they did in their Ecampus courses.

Students were skeptical about information provided by generative AI tools.

Most students disagreed with statements that the information was:

• Trustworthy
• Reliable
• Up-to-date
• Accurate

Students agreed that generative AI tools would impact their careers.

Most agreed that knowing how to use generative AI tools would help them get a job, help them at work and advance their careers.

Students experienced a lack of clarity in course policies.

Participants experienced many different policies and degrees of clarity in course policies regarding the use of generative AI.

Students expressed specific concerns about how generative AI tools would impact their education.

Specific concerns included that AI tools could:

• Degrade the value of their education
• Stunt personal learning
• Compromise their personal and educational values

Students expressed fewer hopes about generative AI compared to the number of concerns.

Students' hopes were more vague than their concerns. For example, students wrote about the impact of generative AI on:

• Accelerating growth
• Enhancing lives
• The advancement of science

Findings from the faculty survey

Faculty were more knowledgeable of ethical considerations than teaching applications of AI.

Faculty were concerned about generative AI tools.

Faculty were confident in using AI but were less confident in using it specifically for online teaching.

Faculty showed skepticism or uncertainty about positive impacts of AI on instructional practices.

Faculty indicated that college and university-level support would be helpful to address AI in their courses.

Faculty were doubtful that students’ knowledge of AI tools would support their learning.

Faculty were more knowledgeable of ethical considerations than teaching application of AI.

89% of faculty agreed they were knowledgeable of the ethical considerations of using AI, but only half agreed they understood the teaching applications of AI.

Faculty were concerned about generative AI tools.

The most frequently selected emotion about AI use was “concerned,” selected by nearly 80% of faculty.

In open-ended responses, faculty expressed concerns related to:

• Deficits in student learning
• Skill degradation
• Overreliance on gen AI tools
• Academic dishonesty

Faculty were confident in using AI but were less confident in using it specifically for online teaching.

More than two-thirds of faculty were confident in their ability to use generative AI, but fewer (43%) were confident in their ability to use it in their online teaching.

Faculty showed skepticism or uncertainty about positive impacts of AI on instructional practices.

25% strongly disagreed
19% disagreed
38% were unsure

...that generative AI would have a positive effect on instructional practices in their field over the next 5 years.

Faculty indicated that college and university-level support would be helpful to address AI in their courses.

The most frequently selected types of support were:

• College-level guidance (52%) • Repository of ways to address generative AI use (51%) • University-level guidance on appropriate AI use policies (48%)

Faculty were doubtful that students’ knowledge of AI tools would support their learning.

Only 21% of faculty agreed or strongly agreed that students’ knowledge of AI supported their own learning, whereas the 41% agreed or strongly agreed that their own knowledge of AI would support their students’ learning.

This study was conducted by the Oregon State University Ecampus Research Unit director Dr. Mary Ellen Dello Stritto.

For press inquiries, please contact Tyler Hansen.