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The dynamic learning model eschews reliance on big data, large sample sizes and complex algorithms. Instead, it leverages first principles thinking and a deterministic problem-solving approach, ...
This framework is then applied in two operational models for facilitating the dynamic creation of appropriate organizational knowledge. Journal Information This unique journal scans the globe for new ...
Pisano, Gary P. "Toward a Prescriptive Theory of Dynamic Capabilities: Connecting Strategic Choice, Learning, and Competition." Industrial and Corporate Change 26, no. 5 (October 2017): 747–762 ...
Training and development programs that integrate peer learning are more efficient, sustainable, and dynamic than a traditional approach. All features that are highly valuable in today's budget ...
Any valid theory of student learning has to address all these issues. For example, a teacher may try to help students by correcting their poor learning strategies, but if the problem is with ...
More information: Mingzhen Lu et al, A first-principles mathematical model integrates the disparate timescales of human learning, npj Complexity (2025). DOI: 10.1038/s44260-025-00039-x ...
Five popular machine learning models were considered in this study: a logistic regression with elastic net regularization (LRENR), 19 a random forest classifier (RF), 20 a gradient tree boosting ...
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