Instructors said generative AI has introduced various instructional challenges, including their ability to detect student cheating.

Students, faculty adopting generative AI at different rates


Instructors said generative AI has introduced various instructional challenges, including making it more complicated to detect student cheating

Key points:

  • While students and faculty are exploring generative AI, they’re doing so at markedly different rates
  • Students prefer online learning, but they struggle with access to the basic equipment to enable such learning modalities
  • See related article: We gave AI detectors a try–here’s what we found

Students and faculty report drastically different rates of AI adoption, with students using AI writing tools such as ChatGPT more than 3 times as much as faculty, according to the 2023 Time for Class research publication from Tyton Partners, published in collaboration with Anthology and Turnitin, with additional research support from Macmillan Learning, Lumina Foundation, Every Learner Everywhere, and the Bill & Melinda Gates Foundation.

The publication details the differences between student and institutional stakeholder experiences with digital learning in higher education and how institutions and solution providers can address these differences to produce better outcomes for students.

The data is gathered from three large-scale surveys conducted in Spring 2023, collecting insights from 2,048 students, 1,748 instructors, and 306 administrators. Respondents are representative of the diverse demographics of these populations and provide insight into the evolving – and at times at odds – perspectives of today’s learners, instructors, and university leaders.

Students shared that while they prefer digital modalities for learning, they face access challenges with regards to reliable internet and devices and that their experiences and preferences differ from institutional stakeholder perceptions.

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Laura Ascione