Students express concerns about GenAI, with non-users (never/rarely) significantly more concerned than other users, and concerns uncorrelated with knowledge¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person · recheck by 2028: baselines and conditions change

Subclaims¶

q2 i? Students leaned slightly toward concerns about GenAI, rating over-reliance lowest (Mean = 2.89) and impact on university education value highest (Mean = 3.18). → Chan 2023 q2 i? Students who never or rarely used GenAI differed significantly in concerns from other participants (t = 3.873, p < 0.01), and concerns showed no significant correlation with knowledge (r = 0.096; p > 0.05). → Chan 2023 (2)

Evidence¶

Chan 2023¶

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20:43. https://doi.org/10.1186/s41239-023-00411-8

q2 · i? · associational · r1

Descriptive statistics from the concerns section of the survey of 399 students; students "expressed a slight favor of concerns about GenAI" across items on over-reliance, education value, social interaction and transferable skills.

"descriptive statistics show that students expressed a slight favor of concerns about GenAI. They expressed the least positive opinions about if people will become over-reliant on GenAI technologies (Mean = 2.89; SD = 1.13), and the highest rating was for how these technologies could affect the value of university education (Mean = 3.18; SD = 1.16)."

Chan 2023 (2)¶

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20:43. https://doi.org/10.1186/s41239-023-00411-8

q2 · i? · associational · r1

Group comparison and correlation analysis in the concerns results: students who never or rarely used GenAI differed significantly from other participants (t = 3.873, p < 0.01), while concerns were not significantly correlated with knowledge (r = 0.096; p > 0.05).

"there were significant differences between students who never or rarely used these technologies and other participants (t = 3.873, p < 0.01). However, no significant correlation was found between students’ concerns and knowledge about GenAI technologies (r = 0.096; p > 0.05)."

Discussion¶

Related Claims¶

• Youth hold varied attitudes toward generative AI, with non-users citing concerns about helpfulness, academic integrity, knowledge, privacy, and awareness — related
• Engineering students come to view mastering GenAI as crucial as other engineering skills, driven by labour-market expectations, alongside widespread uncertainty about over-reliance — related
• Nursing students and faculty report concerns that AI use may weaken critical thinking, enable plagiarism and misinformation, and create unequal access — related
• Students express willingness to integrate GenAI in learning and future careers, and willingness correlates with knowledge and frequency of use — related
• Academics who never use AI report higher guilt than users, with significant differences on anticipated remorse and research-writing guilt — related
• Frequency of AI use predicts AI feedback preference, while comfort with technology and frequency of human feedback predict relative preference for AI over human grading — related
• Interviews revealed six themes: enhanced efficiency, improved quality, facilitated reflection, increased interaction, improved collaboration, and concerns about over-reliance — related
• University students report a generally good understanding of GenAI technologies, with highest self-rated knowledge of limitations and lowest for emotional-intelligence limits — related