Perceptual and Adaptive Learning Technologies in Education and Training P Kellman |
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University of California, Los Angeles, CA, United States
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| Recent in perceptual learning offers remarkable potential to improve almost any kind of education or training. I will discuss recent innovations in perceptual learning and adaptive learning technologies. Whereas learning in educational settings most often emphasizes declarative and procedural knowledge, studies of expertise point to crucial components of learning that involve improvements in the extraction of information. I will describe research that uses perceptual learning modules (PLMs) in computer-based learning technology to address challenges in learning in mathematics, science, medicine, and aviation, In the second part of the talk, I discuss the novel ARTS (adaptive response-time based sequencing) system, an adaptive learning system that markedly improves interactive learning by using both accuracy and speed data, and concurrently implementing a number of laws of learning and mastery. PLMs and the ARTS system, separately and in combination, have remarkable potential to enhance efficiency, durability, mastery, and objective assessment of learning in a wide range of educational and training domains. |
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