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Using Interleaving to Promote Inductive Learning in Educational Contexts

Tobias Richter, Lea Nemeth, Roland Berger, Rita Borromeo Ferri, Martin Hänze, Frank Lipowsky

2022Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie13 citationsDOIOpen Access PDF

Abstract

Abstract. Inductive learning, that is, abstracting conceptual knowledge, rules, or principles from exemplars, plays a major role in educational settings, from literacy acquisition to mathematics and science learning. Interleaving exemplars of different categories rather than presenting blocks might be a simple but powerful way to improve inductive learning by supporting discriminative contrast. Although a consistent advantage of interleaving has been demonstrated for visual materials, relatively few studies have examined educationally relevant materials, such as mathematical tasks, science problems, and verbal materials, and their results are mixed. We discuss how interleaving could be made fruitful for school learning of mathematics, science, and literacy acquisition. We conclude that interleaving should be tailored to the specific learning content and combined with supportive instructional measures that assist students in comparing exemplars for discriminating features. Finally, we sketch research gaps that revolve around the use of interleaved learning in the classroom.

Topics & Concepts

InterleavingSketchComputer scienceDiscriminative modelLearning sciencesMathematics educationInductive biasArtificial intelligencePsychologyEducational technologyMulti-task learningTask (project management)ManagementEconomicsAlgorithmOperating systemIntelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning ProcessesInnovative Teaching and Learning Methods
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