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TRV-2026-0988Certified recordPeer-reviewed

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?

Abstract This study aimed to explore the experiences, perceptions, knowledge, concerns, and intentions of Generation Z (Gen Z) students with Generation X (Gen X) and Generation Y (Gen Y) teachers regarding the use of generative AI (GenAI) in higher education. A sample of students and teachers were recruited to investigate the above using a survey consisting of both open and closed questions. The findings showed that Gen Z participants were generally optimistic about the potential benefits of GenAI, including enh…

Education · The Trace — both readings · certified 2026-09-05 · v1 · article view · machine-readable

Current reading — gain

Gen Z students in higher education reported optimism that generative AI could improve learning through enhanced productivity, efficiency and personalized learning and expressed intentions to use it for educational purposes.

Current reading — problem

Gen X and Gen Y teachers reported heightened concerns that student use of generative AI in higher education could lead to overreliance and create ethical and pedagogical problems without proper guidelines and policies.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-0988, v1: “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?.” Truvace, 2026-09-05. /record/TRV-2026-0988 (accessed at citation time). sha256 66168b5059c4dc53

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