The goal of this study was to investigate interindividual differences in learning from worked-out examples with respect to the quality of self-explanations. Restrictions of former studies (e.g., lacking control of time-on-task) were avoided and additional research questions (e.g., reliability and dimensionality of self-explanation characteristics) were addressed. An investigation with 36 university freshmen of education working in individual sessions was conducted. The domain was probability calculus. As predictors of learning, prior knowledge and the quality of self-explanations (thinking aloud protocols) were assessed. (...) A post-test was employed to measure the learning gains as dependent variable. The following main results were obtained. Most self-explanation characteristics can be regarded as relatively stable person characteristics. The interindividual differences in the quality of self-explanations were, however, found to be multidimensional. Most importantly, even when controlling for time-on-task (quantitative aspect), learning gains could be substantially predicted by qualitative differences of self- explanation characteristics. Successful learners tended to employ more principle-based explanations, more anticipative reasoning and more explication of operator-goal combinations. (shrink)

Research in education and cognitive development suggests that explaining plays a key role in learning and generalization: When learners provide explanations—even to themselves—they learn more effectively and generalize more readily to novel situations. This paper proposes and tests a subsumptive constraints account of this effect. Motivated by philosophical theories of explanation, this account predicts that explaining guides learners to interpret what they are learning in terms of unifying patterns or regularities, which promotes the discovery of broad generalizations. Three experiments provide (...) evidence for the subsumptive constraints account: prompting participants to explain while learning artificial categories promotes the induction of a broad generalization underlying category membership, relative to describing items (Exp. 1), thinking aloud (Exp. 2), or free study (Exp. 3). Although explaining facilitates discovery, Experiment 1 finds that description is more beneficial for learning item details. Experiment 2 additionally suggests that explaining anomalous observations may play a special role in belief revision. The findings provide insight into explanation’s role in discovery and generalization. (shrink)

Researchers studying the psychology of concepts frequently draw distinctions between artificial and natural concepts. Unfortunately, there is a lack of consensus regarding the foundations and implications of the distinction. This paper provides a review and evaluation of the different ways researchers have approached the question of conceptual naturalness. Accounts may be divided into 2 approaches described as psychologically or externally based. These characterizations motivate distinctive sets of research questions. In addition to the particular implications, the author also considers the general (...) significance of a distinction between natural and artificial concepts. 2012 APA, all rights reserved). (shrink)

A comprehensive introduction to current research on the psychology of concept formation and use.

It was investigated to what extent example variability and the elicitation of sophisticated self-explanations foster the acquisition of applicable and transferable knowledge by learning from worked-out examples. To this end, we had 56 apprentices from a bank learn calculation of compound interest and real interest. The subjects were randomly assigned to the four conditions of a 2´2-factorial design (factor 1: uniform vs. multiple examples; factor 2: spontaneous vs. Elicited self-explanations). The learning results were measured by a post-test comprising application problems (...) and transfer problems. It was found that the acquisition of applicable and transferable knowledge can be supported by eliciting self-explanations. This underlines the "causal" relevance of the quality of self-explanations for knowledge acquisition by learning from worked-out examples. The assumption that multiple examples foster transfer performance, at least when sophisticated self-explanations are elicited, is not unequivocally supported. Without learner support in form of an elicitation procedure, multiple examples even seem to be detrimental. (shrink)