Baker Learning Analytics PrizesProgress towards completing challenges (email me to be added to this list)
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.