Daniel Lee's research focuses on the intersection of contemporary education, technology, the arts, and cultural studies. His research covers multiple fields with two major areas being guitar pedagogy and digital technologies in Education. He is currently a post-doctoral; researcher at the University of Adelaide's Unit of Digital Learning and Society. He has published in national and international Q1* academic journals and presented at local, national and international academic conferences. His doctoral work, "Guitar Tuition in Australian Tertiary Institutions: Impact of Contemporary Music Pedagogies," explores the cultural implications of pedagogical approaches in Australian higher education. Dr Lee has also developed an electric guitar meta-canon through his master's thesis and examined the influence of jazz pedagogies on popular music education in his numerous conference papers and journal articles.

His research publications cover a wide range of topics, including the integration of information technology in instrumental teaching, the pedagogical value of Australian contemporary popular music, and the impact of COVID-19 on virtual guitar communities. Dr Lee's work on the cultural melting pot of Australian contemporary popular music education, and his studies on gender issues within guitar communities, further highlight his commitment to cultural and social dimensions of music education.

During his post-doctoral research Dr Lee has developed the concept of Epistemic Indulgence and researched its connections to other important pedagogical concepts including intrinsic motivation. Self-guided learners using online resources to teach themselves have the freedom to learn whatever they choose, in whatever order, using whatever resources they find best suits them and their whims. This video discusses the symbiosis between Epistemic Indulgence and Intrinsic Motivation.

Dr Lee's recent research explores the role of Generative Artificial Intelligence (GenAI) in higher education and its implications for learning and teaching. His work is widely accessible, with publications available on platforms such as ResearchGate and contributions to notable journals and conferences worldwide. Through his interdisciplinary approach, Dr Lee continues to influence the field of education by addressing contemporary challenges and promoting innovative teaching methodologies across a broad range of disciplines.

*Computers and Education: Artificial Intelligence has a Citescore of 16.8 and is ranked in the 99th percentile in Education journals

Recent Publications:

Lee, D. (2025). Can ChatGPT design formative assessments to encourage preparatory students to engage with TED Talks as course readings? A prompt engineering experiment. Artificial Intelligence in Education, 1(1), 24–41, doi: https://doi.org/10.1108/AIIE-10-2024-0025

Lee, D. & Palmer, E. (2025) . Prompt engineering in higher education: A systematic review to help inform curricula. International Journal of Educational Technology in Higher Education. 22, 7. https://doi.org/10.1186/s41239-025-00503-7 

Palmer, E., & Lee, D. (2025). Narrative, Education and Technology. In Risks and Opportunities in Using Educational Technologies (pp. 71-84). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-96-1595-7_7 

Gower, I. F., Lee, D., & Palmer, E. (2025). Immersive Opportunities: A Systematic Review of Virtual Reality in the Classroom. In Risks and Opportunities in Using Educational Technologies, 87-115. https://doi.org/10.1007/978-981-96-1595-7_8 

Lee, D. (2024) Electro-Collectives: Virtual Guitar Communities. In J-P Herbst & S. Waksman (Eds.). The Cambridge Companion to the Electric Guitar. 263-284. https://doi.org/10.1017/9781009224420.015

Lee, D. (2023). Epistemic Indulgence: Freedoms and liberties of learning Music in online environments. Australian Journal of Music Education 55(1), 3-22. https://search.informit.org/doi/abs/10.3316/informit.T2024041000000201725243986 

Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educator's perspectives. Computers and Education: Artificial Intelligence. 6(2024) e100221. https://doi.org/10.1016/j.caeai.2024.100221 

Lee, D. (2022). The impact of COVID-19 on virtual guitar communities: An immersive netnography. Journal of World Popular Music 9(1.2), 246-268. https://doi.org/10.1558/jwpm.23357 

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