Learning Sciences – Learning Informatics Lab

LIL at ISLS 2023

Faculty and graduate students from the Learning Informatics Lab, along with their collaborators, will be presenting this week at the annual meeting of the International Society of the Learning Sciences (ISLS) in Montréal, QC, Canada!

Please see the schedule of presentations below, and look out for their to-be-published conference proceedings!

Tuesday, June 13th, 10:30 AM – 12:00 PM
John Molson – 3.445
L-LAAI1 – Advancements in Self-Regulated Learning and Educational Technologies
Andres, J.M.A.L., Baker, R.S., Hutt, S.J., Mills, C., Zhang, J., Rhodes, S., DePiro, A. (in press). Anxiety, Achievement, and Self-Regulated Learning in CueThink. In 17th International Conference of the Learning Sciences (ICLS) 2023. Montreal, Canada: International Society of the Learning Sciences.

Wednesday, June 14th, 2:30 PM – 4:00 PM
John Molson – 9 – Room A
Practitioners Session 4
Wilson Vasquez, A., DeLiema, D., Goeke, M., & Bye, J. K. (in press). Debugging debugging pathways: A research-practice partnership in K-8 computer science education. In 17th International Conference of the Learning Sciences (ICLS) 2023. Montreal, Canada: International Society of the Learning Sciences.

Thursday, June 15th, 10:30 AM – 12:00 PM
John Molson – 5.215
S-EMO2 – Emotion, Ideology, and Collaboration in Learning
Carpenter, Z., & DeLiema, D. (in press). Learning through play at the intersection of problem-solving, epistemic (un)certainty, and emotion. In 17th International Conference of the Learning Sciences (ICLS) 2023. Montreal, Canada: International Society of the Learning Sciences.

*LIL members in bold

Quantitative Ethnography: Human Science in the Age of Big Data with Dr. David Williamson Shaffer (University of Wisconsin, Madison)

In this talk, David Williamson Shaffer looks at the transformation of the social sciences in the age of Big Data through the lens of Quantitative Ethnography, an approach to analyzing human behavior that integrates data-mining, discourse analysis, social interactionism, cognition, learning science, statistics, and ethnography to produce new and innovative ways of thinking that go beyond the old dichotomy of qualitative and quantitative methods and past simple mixtures of methods in thinking about data and data analysis.

Expanding Interaction Geography in Museum Studies with Dr. Ben Rydal Shapiro (Georgia State University)

On Friday, February 18, 2022, the Learning Informatics Lab and Science Museum of Minnesota hosted GSU professor Dr. Ben Rydal Shapiro. This talk demonstrates new methods to transcribe and dynamically visualize people’s interaction as they move over space and time that comprise an approach called interaction geography, focusing on the value of interaction geography for museum studies. Specifically, Shapiro traces his collaborative development of interaction geography with one museum and reviews recent efforts to scale open-source tools from this work to support collaborative research and design in other museums, as well as other settings, such as schools. The talk concludes by highlighting how this work raises new questions about learning and the ethical use of data that span multiple fields including museum studies, learning sciences, and learning analytics.