Print Email Facebook Twitter Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research Title Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research Author Ritter, Steve (Carnegie Learning) Heffernan, Neil (Worcester Polytechnic Institute) Williams, Joseph Jay (University of Toronto) Lomas, J.D. (TU Delft Design Aesthetics) Bicknell, Klinton (Duolingo) Roschelle, Jeremy (Digital Promise) Motz, Ben (Indiana University - Purdue University) McNamara, Danielle (Arizona State University) Baraniuk, Richard (Rice University) Date 2023 Abstract Learning engineering adds tools and processes to learning platforms to support improvement research. One kind of tool is A/B testing-common in large software companies and also represented academically at conferences like the Annual Conference on Digital Experimentation (CODE). A number of A/B testing systems focused on educational apps have arisen recently, including UpGrade and E-TRIALS. A/B testing can help improve educational platforms, yet challenging issues in education go beyond the generic paradigm. In response, a number of of digital learning platforms is opening their systems to learning-improvement research by instructors and/or third-party researchers, with specific supports necessary for education-specific research designs. This workshop will explore how A/B testing in educational contexts is different, how learning platforms are opening up new possibilities, and how these empirical approaches can be used to drive powerful gains in student learning. It will also discuss forthcoming opportunities for funding to conduct platform-enabled learning research. Subject A/B TestingDigital ExperimentationEducational TechnologyLearning Engineering To reference this document use: http://resolver.tudelft.nl/uuid:359d9a1e-b953-439e-a85e-bf7bb9108e94 DOI 10.1145/3573051.3593397 Publisher Association for Computing Machinery (ACM) ISBN 979-8-4007-0025-5 Source L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale Event 10th ACM Conference on Learning @ Scale, L@S 2023, 2023-07-20 → 2023-07-22, Copenhagen, Denmark Series L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale Part of collection Institutional Repository Document type conference paper Rights © 2023 Steve Ritter, Neil Heffernan, Joseph Jay Williams, J.D. Lomas, Klinton Bicknell, Jeremy Roschelle, Ben Motz, Danielle McNamara, Richard Baraniuk, More Authors Files PDF 3573051.3593397.pdf 801.13 KB Close viewer /islandora/object/uuid:359d9a1e-b953-439e-a85e-bf7bb9108e94/datastream/OBJ/view