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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?
16 references·8 citing·40 second hop
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? (2023)The AI generation gap: Are Gen Z students…The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT (2023)The false positives and false…Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support (2023)Human–AI collaboration enable…The use of intercoder reliability in qualitative interview data analysis in science education (2021)The use of intercoder reliabi…Learning styles, preferences and needs of generation Z healthcare students: Scoping review (2021)Learning styles, preferences …Problem-based learning: A strategy to foster generation Z's critical thinking and perseverance (2020)Problem-based learning: A str…Educational experiences with Generation Z (2020)Educational experiences with …Reaching and Retaining the Next Generation: Adapting to the Expectations of Gen Z in the Classroom (2018)Reaching and Retaining the Ne…Generation Z: Educating and Engaging the Next Generation of Students (2017)Generation Z: Educating and E…Generation Z Goes to College (2017)Generation Z Goes to CollegeY and Z Generations at Workplaces (2016)Y and Z Generations at Workpl…Moving on From Millennials: Preparing for Generation Z (2016)Moving on From Millennials: P…Generation Z: Technology and Social Interest (2015)Generation Z: Technology and …Generation Z Goes to College (2015)Generation Z Goes to CollegeTechnology use and learning characteristics of students in higher education: Do generational differences exist? (2014)Technology use and learning c…B ig D ata and analytics in higher education: Opportunities and challenges (2014)B ig D ata and analytics in h…Generations at work: managing the clash of veterans, boomers, Xers, and Nexters in your workplace (2000)Generations at work: managing…Understanding higher education students’ adoption of generative AI technologies: An empirical investigation using UTAUT2 (2025)Understanding higher educatio…Higher education students’ perceptions of ChatGPT: A global study of early reactions (2025)Higher education students’ pe…Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review (2024)Generative AI and Higher Educ…Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies (2024)Does ChatGPT enhance student …Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes (2024)Artificial Intelligence Tools…Students’ voices on generative AI: perceptions, benefits, and challenges in higher education (2023)Students’ voices on generativ…Generative AI tools and assessment: Guidelines of the world's top-ranking universities (2023)Generative AI tools and asses…A comprehensive AI policy education framework for university teaching and learning (2023)A comprehensive AI policy edu…Big data: The next frontier for innovation, competition, and productivity (2011)CRITICAL QUESTIONS FOR BIG DATA (2012)An Easy Guide to Factor Analysis (2014)Big Data and data science: A critical review of issues for educational research (2017)Challenges and Future Directions of Big Data and Artificial Intelligence in Education (2020)Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective. (2021)Generation M2: Media in the Lives of 8- to 18-Year-Olds (2010)Generational Differences in Work Values: A Review of Theory and Evidence (2010)Digital Natives, Digital Immigrants (2012)‘You really are a great big sister’ – parasocial relationships, credibility, and the moderating role of audience comments in influencer marketing (2020)Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people (2021)Exploring ethical consumption of generation Z: theory of planned behaviour (2022)A multidimensional approach to individual differences in empathy (1980)Grand challenges in global mental health (2011)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)AI can help people feel heard, but an AI label diminishes this impact (2024)Mental-LLM (2024)The Opportunities and Risks of Large Language Models in Mental Health (2024)ChatGPT for good? On opportunities and challenges of large language models for education (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education (2024)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Teaching For Quality Learning At University (1999)Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (2023)Language Assessment: Principles and Classroom Practices (2003)How Learning Works : Seven Research-Based Principles for Smart Teaching (2010)Generative AI in Higher Education: Balancing Innovation and Integrity (2025)Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines (2025)Students' behavioural intention to use content generative AI for learning and research: A UTAUT theoretical perspective (2025)Quantifying heterogeneity in a meta‐analysis (2002)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)RETRACTED ARTICLE: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis (2025)Generational Differences in Work Values: Leisure and Extrinsic Values Increasing, Social and Intrinsic Values Decreasing (2010)New Generation, Great Expectations: A Field Study of the Millennial Generation (2010)Understanding Generation Y and their use of social media: a review and research agenda (2013)The Employees of Baby Boomers Generation, Generation X, Generation Y and Generation Z in Selected Czech Corporations as Conceivers of Development and Competitiveness in their Corporation (2016)Understanding Generation Z expectations for effective onboarding (2020)Generation Z Within the Workforce and in the Workplace: A Bibliometric Analysis (2022)“ We aren't your reincarnation! ” workplace motivation across X, Y and Z generations (2020)
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References

  • 2015Generation Z: Technology and Social Interest970 cited
  • 2000Generations at work: managing the clash of veterans, boomers, Xers, and Nexters in your workplace912 cited
  • 2016Y and Z Generations at Workplaces682 cited
  • 2014B ig D ata and analytics in higher education: Opportunities and challenges650 cited
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  • 2023Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support588 cited
  • 2017Generation Z Goes to College406 cited
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  • 2015Generation Z Goes to College343 cited
  • 2021Learning styles, preferences and needs of generation Z healthcare students: Scoping review297 cited
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  • 2014Technology use and learning characteristics of students in higher education: Do generational differences exist?244 cited
  • 2021The use of intercoder reliability in qualitative interview data analysis in science education235 cited
  • 2018Reaching and Retaining the Next Generation: Adapting to the Expectations of Gen Z in the Classroom

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229 cited
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