We report on our experience with a real-world, multi-experimental evaluation of an adaptive experimentation platform within the XPRIZE Digital Learning Challenge framework. We showcase how EASI (Experiment as a Service) cross-platform software supports quick integration and deployment of adaptive experiments as well as five systematic replications within a 30-day timeframe. The outline the key scenarios of the applicability of platform-supported experiments and reflect on lessons learned from this two-year project that can help researchers and practitioners to integrate adaptive experiments in real-world courses.
Platform-based Adaptive Experimental Research in Education: Lessons Learned from Digital Learning Challenge / Musabirov, Ilya; Reza, Mohi; Moore, Steven; Chen, Pan; Kumar, Harsh; Li, Tong; Haochen Song, Fred; Shi, Jiakai; Choy, Koby; Price, Thomas; Stamper, John; Bier, Norman; Deliu, Nina; Villar, Sofia; Rafferty, Anna; Durand, Audrey; Jay Williams, Joseph. - (2024), pp. 37-40. (Intervento presentato al convegno The Fourteenth International Conference on Learning Analytics & Knowledge (LAK24) tenutosi a Kyoto, Japan).
Platform-based Adaptive Experimental Research in Education: Lessons Learned from Digital Learning Challenge
Nina DeliuMethodology
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2024
Abstract
We report on our experience with a real-world, multi-experimental evaluation of an adaptive experimentation platform within the XPRIZE Digital Learning Challenge framework. We showcase how EASI (Experiment as a Service) cross-platform software supports quick integration and deployment of adaptive experiments as well as five systematic replications within a 30-day timeframe. The outline the key scenarios of the applicability of platform-supported experiments and reflect on lessons learned from this two-year project that can help researchers and practitioners to integrate adaptive experiments in real-world courses.| File | Dimensione | Formato | |
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Deliu_Platform-based_2024.pdf
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Deliu_LAK24_frontespizio_indice.pdf
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