Paula de Barba

Research Fellow

MCSHE

Paula's role focuses on research in the areas of educational technology, educational psychology and learning analytics in higher education. Her main research interests include self-regulated learning and achievement motivation.

Paula de Barba is a research fellow at the Melbourne Centre for Studies in Higher Education since July 2014. Her role focuses on research in the areas of educational technology, educational psychology and learning analytics. More specifically, Paula is interested on the cognitive and emotional influences on student learning, such as achievement motivation and self-regulated learning, in digital learning environments. She is part of the Educational Technology Research Group and the Learning Analytics Research Group.

Currently, Paula is on the final stages of her PhD at the Melbourne School of Psychological Sciences, at the University of Melbourne. Her PhD investigates how students’ autonomous learning skills and achievement motivation function in online learning environments. Paula’s supervisors are Gregor Kennedy and Mary Ainley. She is expected to graduate in 2017.

For more details on Paula's research and previous work experience please visit her Google Scholar and LinkedIn profiles.

RECENT RESEARCH AND DEVELOPMENT GRANTS

2017. Learning reflections: Designing interventions to promote learning in museums. Gregor Kennedy, Cameron Hocking, Eduardo Araujo Oliveira, Paula de Barba, Kristine Elliot, Ben Cleveland. The University of Melbourne and Museum Victoria, McCoy Project. Funding; $20,000.

2016. Determining students’ assessment feedback preferences for personal analytics solutions. Linda Corrin, Paula de Barba, Gregor Kennedy. Office of Learning and Teaching (Seed grant). Funding: $40,000.

Recent publications

Corrin, L., de Barba, P. G., & Bakharia, A. (2017). Using learning analytics to explore help-seeking learner profiles in MOOCs. Proceedings of the 7th International Learning Analytics & Knowledge Conference (pp. 424-428). New York: ACM.

Kennedy, G., Corrin, L., & de Barba, P. G. (2017). Analytics of what? Negotiating the seduction of big data and learning analytics. In R. James, S. French & P. Kelly (Eds), Visions for Australian Tertiary Education (pp. 67-76). Melbourne, Australia: Melbourne Centre for the Study of Higher Education.

de Barba, P., Ainley, M.D. & Kennedy, G. (2016). The role of motivation and participation for predicting performance in MOOCs. Journal of Computer Assisted Learning, 32(3), 218-231.

Bakharia, A., Corrin, L., de Barba, P., Kennedy, G., Gasevic, D., Mulder, R., Williams, D., Dawson, S., Lockyer, L. (2016). A conceptual framework linking learning design with learning analytics. In T. Reiners, B.R. von Konsky, D. Gibson, V. Chang, L. Irving, & K. Clarke (Eds,), Proceedings of the 6th International Conference on Learning Analytics and Knowledge (pp. 409-413). New York: ACM.

Corrin, L., Kennedy, G., de Barba, P.D., Bakharia, A., Lockyer, L., Gasevic, D., Williams, D., Dawson, S., & Copeland, S. (2015). Loop: A learning analytics tool to provide teachers with useful data visualisations. In T. Reiners, B.R. von Konsky, D. Gibson, V. Chang, L. Irving, & K. Clarke (Eds.), Globally connected, digitally enabled. Proceedings ascilite 2015 in Perth (pp. 409-413).

Kennedy, G., de Barba, P., Coffrin, C., & Corrin, L. (2015). Predicting success: How learners’ prior knowledge, skills and activities predict MOOC performance. In P. Blikstein, A. Merceron, & G. Siemens (Eds.), Proceedings of the 5th International Conference on Learning Analytics and Knowledge (pp. 136-140). New York: ACM.

Corrin, L., & de Barba, P. (2014). Exploring students’ interpretation of feedback delivered through learning analytics dashboards. In B. Hegarty, J. McDonald, & S.-K. Loke (Eds.), Rhetoric and Reality: Critical perspectives on educational technology. Proceedings ascilite Dunedin 2014 (pp. 629-633).

Coffrin, C., Corrin, L., de Barba, P., & Kennedy, G. (2014). Visualizing patterns of student engagement and performance in MOOCs. In M. Pistilli, J. Willis, D. Koch, K. Arnold, S. Teasley, & A. Pardo (Eds.), Proceedings of the 4th International Conference on Learning Analytics and Knowledge (pp. 83-92). New York: ACM.

Bower, M., Kennedy, G. E., Dalgarno, B., Lee, M. J., Kenney, J., & de Barba, P. (2012). Use of media-rich real-time collaboration tools for learning and teaching in Australian and New Zealand universities. In Proceedings of the 2012 ascilite annual conference – Australian Society for Computers in Learning in Tertiary Education.

Conference, Seminar & Poster Presentations

de Barba P., Ainley, M.D. & Kennedy, G. (2017, September). Interest development across a MOOC (Massive Open Online Course). Presentation at the 17th Biennial EARLI conference for Research on Learning and Instruction.

de Barba P., Ainley, M.D. & Kennedy, G. (2015, August). Situational Interest and Online Learning: A Closer Look. Presentation at the 16th Biennial EARLI conference for Research on Learning and Instruction, Cyprus University of Technology, Limassol, Cyprus.

Corrin, L. & de Barba, P. (2015, May). Visualising feedback: students’ interpretation of learning analytics dashboards. Presentation at the Innovations in Teaching and Learning. Melbourne Centre for the Study of Higher Education, The University Of Melbourne. Melbourne, Australia.

Corrin, L., & de Barba, P. (2015). How do students interpret feedback delivered via dashboards?. In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge. ACM.

de Barba P., Ainley, M.D. & Kennedy, G. (2015, April). The trajectory of situational interest in an online learning session. Presentation at the American Educational Research Association Annual Meeting, Chicago, United States of America.

Kennedy, G., Corrin, L., Lockyer, L., Dawson, S., Williams, D., Mulder, R., Khamis, S., Copeland, S. & de Barba, P. (2014, November). Completing the Loop: Returning meaning learning analytic data to teachers. Poster presentation at the Australian Learning Analytics Summit Institute, Sydney, Australia.

de Barba, P. (2014, November). Massive Open Online Courses (MOOCs), Learning Analytics, and the Future of Higher Education. Presentation at the Universitas 21 Future of International Higher Education Workshop, The University of Nottingham, Ningbo, China.

de Barba, P., Ainley, M.D. & Kennedy, G. (2014, June). The role of motivation and participation in predicting performance in MOOCs. International Conference on Motivation. Helsinki, Finland.

de Barba, P. (2014, February). Motivation and Autonomous Learning in Online Environments: the MOOC study. Presentation at the IBES PhD Seminar. Institute for a Broadband-Enabled Society, The University Of Melbourne. Melbourne, Australia.

de Barba, P. (2013, August). Motivation and Autonomous Learning in Online Environments: the MOOC study. Presentation at the Innovations in Teaching and Learning. Centre for the Study of Higher Education, The University Of Melbourne. Melbourne, Australia.