Dr Marion Blumenstein
Dr rer nat, Diplom Biol, PG Cert AcadPrac
I am a biologist by training, a researcher by heart, and a teacher by passion. I graduated from the University of Bremen in plant ecophysiology, and after having already lived and worked in New Zealand for several years, completed my doctorate in cancer research (Dr rer nat) at the University of Hamburg. Back in New Zealand, my first postdoctoral position focused on molecular pathways in preterm birth which led to my involment in a large international study on finding biomarkers for the early prediction of the pregnancy complication preeclampsia (SCOPE project) at this university.
In early 2009 I changed from a purely research-based career to student learning advising with a focus on research skills development incuding quantitative literacy, academic writing, and research design. In 2015 I joined CLeaR to work in the rapidly growing field of learning analytics. I aim to provide capacity building opportunities for academics on how to utilize learning analytics data to understand and optimize student learning. My expertise in biomedical research, which taught me to be rigorous from the research design stage through to the dissemination of results, combined with my knowledge of student teaching and learning issues gained over the last seven years brings together my passion for teaching and research.
I am also involved in the Bioscience Enterprise Program, School of Biological Sciences, teaching the science enterprise research methods paper to prepare students for their Master thesis work in semester 2.
Research | Current
I am currently involved in a multi-institution effort to develop an open-source learning analytics tool - the Student Relationship Engagement System (SRES) - that support a bottom-up approach to learning analytics. Contributors to this project include the Universities of Sydney, Otago & Auckland supported in part by an Ako Aotearoa Nationally Funded Project (https://akoaotearoa.ac.nz/using-learning-analytics). The project's philosophy is that people are the focus of learning analytics and not the data, rather enabling teachers to gain actionable insights into their students' learning at scale, and for students to receive timely and personalised feedback on their study success. The SRES is currently piloted in three large first year courses at the University of Auckland involving teachers, course coordinators, student mentoring teams, and academic advisors.
Teaching | Current
I consider students as partners in the process of learning and creating knowledge. My teaching style is therefore reflexive, helping students "to get it" in a collaborative, knowledge-sharing way. From my own practice I often learn about new perspectives, methods or ways of doing from my students. In other words, teachers become learners, and vice versa, learners become teachers which can be quite revealing at times!
CLeaR Teaching Catalyst - "Digital presence"
Bioscience Enterprise Programme: SCIENT 720 Research methods (S1)
I am looking for opportunities to supervise doctoral candidates in the field of higher education research. I am comfortable with theoretical approaches to pedagogies of teaching and learning in tertiary education settings. My particular research focus is on learning analytics towards the optimisation of student learning and the study experience. I have expertise in both qualitative and quantitative research methodologies.
Master in Bioscience Enterprise:
2018 to present Evelyn Ke " Understanding value co-creation from innovation in a complex stakeholder network: A case study of veterinary diagnostics in the NZ dairy industry" *Academic supervisor (Howard Moore, Pictor NZ; industry supervisor)
2017 - 2018 Sam Wojcik "Barriers to precision oncology and companion diagnostics in New Zealand" *Academic supervisor (Hadley Slade-Jones, PWC; industry supervisor)
2017 - 2018 Bryce Lowen "Factors that shape European point-of-care diagnostic markets: A comparative study of reimbursement decisions" *Academic supervisor (Esther Miralles, Synergus AB, Sweden; industry supervisor)
2018 to present Shi Shu " Enhancing MOOCs: Uisng instructional design to keep learners' motivation in a MOOC environment" *Co-supervisor (Assoc. Prof Jason Stephens, FESW; main supervisor)
2017 to present Linda Yu "A study of Chinese doctoral students' emotional issues in adaptation to academic English writing in New Zealand Higher Education" *Co-supervisor (Prof. Helen Sword, FESW; main supervisor)
2018 Leading a cohort of colleagues through the Higher Education Academy (HEA UK) Fellowships accreditation as part of a Community of Interest.
2017 Facilitation of the CLeaR Lights Leadership in Teaching Programme; fostering a collegial culture of research-informed teaching across the University.
Areas of expertise
- Learning Analytics
- Research Skills Development
- Academic Development
- Data Literacy
- Research Design
- Biomedical Research
Selected publications and creative works (Research Outputs)
- Lodge, J., Thompson, K., Horvath, J., de Barba, P., & Blumenstein, M. (2018). Learning analytics in the classroom. Paper presented at ASCILITE 2018 - Open Oceans: Learning without borders, Geelong, Australia. 25 November - 28 November 2018. ASCILITE 2018 - Open Oceans: Learning without borders. Related URL.
- Nadeem, M., Blumenstein, M., & Biglari-Abhari, M. (2018). Exploring the Impact of In-Class Writing Exercises in an Engineering Course. IEEE TALE 2018: Engineering Next-Generation Learning, Conference Proceedings Wollongong, NSW, Australia.
Other University of Auckland co-authors: Muhammad Nadeem, Morteza Biglari-Abhari
- Blumenstein, M., Liu, D. Y. T., Richards, D., Leichtweis, S., & Stephens, J. M. (2018). Data-informed nudges for student engagement and success. In J. M. Lodge, J. C. Horvath, L. Corrin (Eds.) Learning analytics in the classroom translating learning analytics for teachers (pp. 185-207). Routledge.
Other University of Auckland co-authors: Steve Leichtweis, Jason Stephens
- Gunn, C., McDonald, J., Donald, C., Milne, J., & Blumenstein, M. (2017). Building an evidence base for teaching and learning design using learning analytics: Project report. Wellington, New Zealand: Ako Aotearoa.
Other University of Auckland co-authors: Cathy Gunn, Claire Donald
- Blumenstein, M., McDonald, J., Gunn, C., & Leichtweis, S. (2017). Let’s talk student engagement: Connecting teachers and students using learning analytics. Paper presented at 17th Biennial conference of the European Association for Research on Learning and Instruction (EARLI), Tampere, Finland. 27 August - 2 September 2017.
Other University of Auckland co-authors: Cathy Gunn, Steve Leichtweis
- Blumenstein, M., Leichtweis, S., & McDonald, J. (8/5/2017). Learning analytics in practice: Nudging students towards study success. Poster presented at The Higher Education Technology Agenda (THETA) 2017, Auckland, New Zealand..
Other University of Auckland co-authors: Steve Leichtweis
- Padhye, L. P., & Blumenstein, M. (2017). In-class and asynchronous student response systems: A comparison of student participation and perceived effectiveness. Paper presented at 28th Australasian Association for Engineering Association Conference (AAEE 2017), Sydney, Australia. 10 December - 13 October 2017. 28th Annual Conference of the Australasian Association for Engineering Education (AAEE 2017): Order of Proceedings.
Other University of Auckland co-authors: Lokesh Padhye
- Sword, H., Blumenstein, M., Kwan, A., Shen, L., & Trofimova, E. (2017). Seven ways of looking at a data set. Qualitative Inquiry, 24 (7), 499-508. 10.1177/1077800417729847
Other University of Auckland co-authors: Helen Sword, Alistair Kwan, Evija Trofimova
Located at CLeaR, Fisher Building, R804-403, ext. 82479
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