ETS® AI Labs™ Ways of Working Tutorial: How to Build Evidence-Based, User-Obsessed, AI-Enabled Learning Solutions in an Agile Framework

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Abstract

How do you advance the science and engineering of digital learning solutions at your institution, business, or organization? Bring your current ways of working to this tutorial and get ready to innovate them alongside your fellow researchers, practitioners, business owners, and policy makers. As we work together to share our knowledge and lived experiences, presenters will assist participants in co-creating action plans for how they can utilize best practices from user-centered design (UCD), Design thinking, and Agile to deliver user-obsessed, AI-enabled, efficacious learning solutions.

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Marsh Runyon, K. R., D. Montilus, K., Nachman, L., Smith Herrick, K., & Ferrara, L. (2022). ETS® AI LabsTM Ways of Working Tutorial: How to Build Evidence-Based, User-Obsessed, AI-Enabled Learning Solutions in an Agile Framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13356 LNCS, pp. 119–122). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11647-6_21

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