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Title: Augmenting Instructor Decision-Making with Data in Makerspaces
Authors: Chng, Edwin
Zeylikman, Sofya
Schneider, Bertrand
Keywords: Learning and Identity
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Chng, E., Zeylikman, S., & Schneider, B. (2020). Augmenting Instructor Decision-Making with Data in Makerspaces. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 2 (pp. 867-868). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: While deviation from formal learning environments is a strength of makerspaces, they can be challenging learning environments for many students as well. This work recognizes the need for instructors to not only support students in makerspaces, but also to personalize their approach in helping students. We designed a weekly personalized intervention cycle based on students’ self-reported stated learning challenges and learning experiences. The effect of such personalized intervention was then evaluated using a repeated measure ANOVA. Findings suggest that students receiving personalized interventions expressed a lower sense of community. This suggests that while data can support the personalized assistance, a more nuanced approach may be needed to avoid unintended consequences. Overall, this research represents additional effort in the direction of personalization and an initial step towards augmenting teacher decision-making with data.
Appears in Collections:ICLS 2020

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