Penn Center for Learning Analytics

Baker Learning Analytics Prizes

Problem 1: Transferability: The (learning system) Wall

Problem 2: BLAP2. Effectiveness: Differentiating Interventions and Changing Lives

Problem 3: BLAP3. Interpretability: Instructors Speak Spanish, Algorithms Speak Swahili

Problem 4. BLAP4. Applicability: Knowledge Tracing Beyond the Screen

Problem 5. BLAP5. Generalizability: The General-Purpose Boredom Detector

Problem 6. BLAP6. Generalizability: The New York City and Marfa Problem

• Lopez-Zambrano and colleagues (2020) [article link] developed prediction models of university course failure. They demonstrated that their models can generalize to courses in unseen academic subjects, using BLAP6 criteria. The academic subjects they study have fairly different student populations, but the differences in populations are not explicitly documented according to BLAP6 criteria.

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