Data-Informed Decision-Making

Instructor-Facing Learning Analytics

Li, Q., Jung, Y., d'Anjou, B., & Wise, A.F. (2022). Unpacking instructors’ analytics use: Two distinct profiles for informing teaching. Proceedings of the 12th International Conference on Learning Analytics and Knowledge. New York, NY: ACM.

[Best Short Paper Award]

Li, Q., Jung, Y., Jung, Y.., & Wise, A.F. (2021). Beyond first encounters with analytics: Questions, techniques and challenges in instructors’ sensemaking. Proceedings of the 11th International Conference on Learning Analytics and Knowledge. New York, NY: ACM.

Wise, A.F., & Jung, Y. (2019). Teaching with analytics: Towards a situated model of instructional decision-making. Journal of Learning Analytics, 6(2), 53-69. 

Wise, A. F., & Jung, Y. (2019). Implications of instructor analytics use patterns for the design of actionable educational data visualizations. Proceedings of the 9th International Conference on Learning Analytics and Knowledge, 689-696.

Student-Facing Learning Analytics

Ochoa, X., & Wise, A. F. (2020). Supporting the shift to digital with student-centered learning analytics. Educational Technology Research and Development.

Sarmiento, J.P., Campos, F., & Wise, A. F. (2020). Engaging students as co-designers of learning analytics. Companion proceedings of the 10th International Conference on Learning Analytics and Knowledge. [Best Practitioner Report Award]

Advisor-Facing Learning Analytics

Gutiérrez, F., Seipp, K., Ochoa, X., Chiluiza, K., De Laet, T., & Verbert, K. (2020). LADA: A learning analytics dashboard for academic advising. Computers in Human Behavior, 107, 105826.

 

Dashboards

Learning Analytics Dashboard Design and Implementation

Verbert, K., Ochoa, X., De Croon, R., Dourado, RA., De Laet, T. (2020). Learning analytics dashboards: the past, the present and the future. Proceedings of the 10th International Conference on Learning Analytics and Knowledge, 35-40.

Wise, A. F. & Vytasek, J. M. (2017). Learning analytics implementation design. In C. Lang, G. Siemens, A. F. Wise & D. Gašević (Eds.) Handbook of Learning Analytics (1st ed., pp. 151-160). SoLAR

Measurement in Learning Analytics

Measurement and Process Data

Bergner, Y. (2017). Measurement and its uses in learning analytics. In Lang, C., Siemens, G., Wise, A. F., and Gaevic, D., (Eds.), Handbook of learning analytics (1st ed., pp. 34–48). SoLAR.

Bergner, Y., & von Davier, A. A. (2019). Process data in NAEP: Past, present, and future. Journal of Educational and Behavioral Statistics, 44(6), 706–732. 

Literacy in Learning Analytics

Educating for a New Generation of Data Scientists

Wise, A. F. (2020). Educating data scientists and data literate citizens for a new generation of data. Journal of the Learning Sciences, 29(1), 165-181.

Interaction Analytics

Collaborative Problem Solving Online

Mohan, K., Bergner, Y. & Halpin, P. (2020). Predicting group performance using process data in a collaborative assessment. Technology Knowledge and Learning 25, 367–388. 

Bergner, Y. (2018). CPSX: A tool for collaborative problem-solving in open edX. Research Memorandum No. RM-18-03.

 Collaboration Feedback

Boothe, M., Jr., Collin., Y., Lewis, A., & Ochoa, X. (2022). Towards a pragmatic and theory-driven framework for multimodal collaboration feedback. Proceedings of 12th International Conference on Learning Analytics and Knowledge. New York, NY: ACM.

Echeverria, V., Wong-Villacres, M., Ochoa, X., & Chiluiza, K. (2022). An exploratory evaluation of a collaboration feedback report. Proceedings of 12th International Conference on Learning Analytics and Knowledge. New York, NY: ACM.

Ahmed, I., Mawasi, A., Wang, S., Wylie, R., Bergner, Y., Whitehurst, A., & Walker, E. (2019). Investigating help-giving behavior in a cross-platform learning environment. Proceedings of the International Conference on Artificial Intelligence in Education, 14-25.

Halpin, P. F., & Bergner, Y. (2018). Psychometric models of small group collaborations. Psychometrika, 83(4), 941-962.

Discussion Forum Analytics 

Li, Q., Jung, Y., Wise, A. F., Sommer, S., & Axelrod, V. G. (2021). Designing analytics to support team learning. Perspectives on Digitally-Mediated Team Learning, 47-165. 

Wise, A. F., Zhao, Y., & Hausknecht, S. (2014). Learning analytics for online discussions: Embedded and extracted approaches. Journal of Learning Analytics, 1(2), 48-71.

Reflective Writing Analytics

Analytics of Reflection Quality

Jung, Y., Wise, A.F. & Allen, K.L. (2021). Using theory-informed data science methods to trace the quality of dental student reflections over time. Advances in Health Science Education, 1-26.

Jung, Y. & Wise, A.F. (2020). How and how well do dental students reflect?: Viability of multi-dimensional automated reflection assessment in health professions education. Proceedings of the 10th International Conference on Learning Analytics and Knowledge, 595–604. 

Cui, Y., Wise, A. F. & Allen, K. A. (2019). Developing reflection analytics for health professions education: Aligning critical concepts with data features. Computers in Human Behavior, 100, 305-32.

Analytics of Reflection Content 

Wise, A.F. & Reza, S. (2020).  Becoming a dentist: Tracing professional identity development through mixed methods data mining of student reflections. Proceedings of the 15th International Conference of the Learning Sciences.

Wise, A. F. & Cui, Y. (2019). Top concept networks of professional education reflections. Proceedings of the 9th International Conference on Learning Analytics and Knowledge, 260-264

Analytics in Physical Spaces

Instrumented Learning Spaces

Ochoa, X. (2017). Multimodal learning analytics. In Lang, C., Siemens, G., Wise, A. F., and Gaevic, D., (Eds.), Handbook of Learning Analytics (1st ed., pp. 129–141). SoLAR. 

Chan M.C.E., Ochoa X., Clarke D. (2020). Multimodal learning analytics in a laboratory classroom. In M.Virvou, E. Alepis, G. Tsihrintzis, & L. Jain (Eds.), Machine Learning Paradigms (158, pp. 131-156). 

Presentation Feedback Tool

Ochoa, X., & Dominguez, F. (2020) Controlled evaluation of a multimodal system to improve oral presentation skills in a real learning setting. British Journal of Educational Technology.

Integrating Physical Computing and Data Science in Movement Based Learning

Bergner, Y., Mund, S., Chen, O., and Payne, W. (2019). First steps in dance data science: Educational design. Proceedings of the 6th International Conference on Movement and Computing, 1-8.

Learning Analytics in Latin America

Critical Issues for Learning Analytics Across Latin America 

Cechinel, C.,  Ochoa, X.,  Lemos, H., Nunes, J., Rodes, V. & Queiroga, E. (2020). Mapping learning analytics initiatives in Latin America. British Journal of Educational Technology, 51 (4), 892-914.

Ochoa, X. (2019). Learning analytics in Latin America present an opportunity not to be missed. Nature Human Behaviour, 3(1), 6-7.

Case Studies from Uruguay and Chile

Macarini, L. A., Lemos dos Santos, H., Cechinel, C., Ochoa, X., Rodés, V., Pérez Casas, A., ... & Díaz, P. (2020). Towards the implementation of a countrywide K-12 learning analytics initiative in Uruguay. Interactive Learning Environments, 28(2), 166-190.

Alvarez, C., Wise, A. F., Altermatt, S., & Aranguiz, I. (2019). Predicting academic results in a modular computer programming course. Proceedings of the 2nd Latin American Conference on Learning Analytics, LALA 2019, 21-30.