Modelling for Prediction vs. Modelling for Understanding
Musso et al. (2013) predict students' academic achievement with high accuracy one year in advance from cognitive and demographic variables, using artificial neural networks (ANNs). They conclude that ANNs have high potential for theoretical and practical improvements in learning sciences. ANNs...
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Main Authors: | Michael Schneider (Author), Peter Edelsbrunner (Author) |
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Format: | Book |
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EARLI,
2013-12-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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