BMGT, MSc (Edinburgh), PhD (Auckland)
Phone: +64 3 479 7758
I provide academic development support to staff and students, teach within the programmes offered by HEDC, and research in the field of higher education. Prior to this role, I was a professional practice fellow (eLearning) in a medical school, postdoc research fellow in a business school, assistant researcher in a policy research institute, and training specialist in an oil and gas company. I completed my doctoral research within three years at the University of Auckland and the thesis received Dean's List award. I gained a Master of Science degree from the University of Edinburgh, and a Bachelor of Management degree from a Chinese university.
My research revolves around learning and teaching in higher education. My doctoral study investigated the adoption of learning technologies by academics. Since then, I have conducted research into approaches to academic development, employability development pedagogies, vicarious learning via videoed tutorials, student video production, and more recently non-institutional technologies and learning analytics. However, I don't think previous research experience should define my future research interests: I try to keep an open mind and learn a bit of everything when I can.
Methodologically I am a mixed-methods researcher by training. I use the most appropriate method(s) to answer the research question, be they qualitative, quantitative, or a combination of several. Epistemologically, I find a constructivist stance best explains the reality I perceive. I update my research projects regularly on ResearchGate.
I am available for postgraduate supervision. I have benefited greatly, both personally and professionally, from my doctoral supervision experience. It's only fair that I provide the same experience, if not better, to my students. I view research a journey that extends our capabilities, reshapes how we think, and possibly allows us to create new knowledge. As a supervisor, I cannot control the journey, but I will be an honest and trustworthy travel companion. Please get in touch if you would like to have a chat about your research ideas.
Current PhD students
Anjin Hu - Technology mediated authentic assessment, 2022
2021 Medical Education Research Fund, Otago Medical School
The influence of students' perceived learning autonomy support on approaches to learning (co-investigator, NZD 4,561)
2020 University Teaching Development Grant, University of Otago
Analytics-informed design: Using learning management system recorded data to enhance course development (Principal Investigator, NZD 9,036)
2020 Medical Education Research Fund, Otago Medical School
Capturing the invisible: An investigation of the use of non-institutional eLearning tools and resources by medical students (Principal Investigator, NZD 5,296)
2020 HERDSA NZ Grant Scheme, HERDSA-NZ
Capturing the invisible: The use of non-institutional elearning tools and resources by undergraduate students in New Zealand universities (Principal Investigator, NZD 1,402)
2018 Ako Aotearoa Co-funded Project, Ako Aotearoa and University of Auckland
Embedding Employability in the Curriculum: Strategies for the development of future-ready employability attributes within advanced and research informed programmes (Research Fellow, NZD 300,000)
Liu, Q., Gladman, T., Muir, J., Wang, C., & Grainger, R. (2023). Analytics-informed design: Exploring visualization of learning management systems recorded data for learning design. SAGE Open. Advance online publication. doi: 10.1177/21582440231193590
Grainger, R., Liu, Q., & Gladman, T. (2023). Learning technology in health professions education: Realising an (un)imagined future. Medical Education. Advance online publication. doi: 10.1111/medu.15185
Gladman, T., Liu, Q., Kenwright, D., & Grainger, R. (2023). Student perspectives on the facilitators and inhibitors of learning autonomy supportive teaching practices. Proceedings of the Australian & New Zealand Association for Health Professional Educators (ANZAHPE) Festival. 39. Retrieved from https://www.anzahpe.org/
Liu, Q., Wald, N., Daskon, C., & Harland, T. (2023). Multiple-choice questions (MCQs) for higher-order cognition: Perspectives of university teachers. Innovations in Education & Teaching International. Advance online publication. doi: 10.1080/14703297.2023.2222715
Liu, Q., Gladman, T., Grove, C., Eberhard, S., Geertshuis, S., Ali, A., Blyth, P., & Grainger, R. (2023). Capturing the invisible: Non-institutional technologies in undergraduate learning within three New Zealand universities. Internet & Higher Education, 58, 100910. doi: 10.1016/j.iheduc.2023.100910