The article presents a theoretical elaboration of the potential relationship between the academic and artistic approaches within a problem-based educational setting. The investigation is based on Koestler's idea of the "bisociation" (blending) of dissimilar thinking and action matrices as the foundational mechanism of human creation in…

The presentation challenges a frequently-expressed assertion: "There is no single, authoritative perspective or definition of creativity [in mathematics]" Kattou et al. (2011). It points to difficulties resulting from using accepted definitions in educational research (Wallas, 1926; Thorance, 1975). In this paper, the authors express…

"Temporal predictability" refers to the regularity or consistency of the time interval separating events. When encountering repeated instances of causes and effects, we also experience multiple cause-effect temporal intervals. Where this interval is constant it becomes possible to predict when the effect will follow from the cause. In…

Many theories of category learning assume that learning is driven by a need to minimize classification error. When there is no classification error, therefore, learning of individual features should be negligible. The authors tested this hypothesis by conducting three category-learning experiments adapted from an associative learning blocking…

This paper examines the characteristics of the thinking skill we call "melioration" i.e., the competence to borrow a concept from a field of knowledge supposedly far removed from his or her domain, and adapt it to a pressing challenge in an area of personal knowledge or interest. The skill has its source in conscious personal meaning-making, not…

Motor learning is a very basic, essential form of learning that appears to share common mechanisms across different motor systems. We evaluate and compare a few conceptual models for learning in a relatively simple neural system, the vestibulo-ocular reflex (VOR) of vertebrates. We also compare the different animal models that have been used to…

An associative model of serial learning is described based on the assumption that the effective stimulus for a serial-list item is generated by adaptation-level coding of the item's ordinal position. How the model can generate predictions of aspects of serial-learning data is illustrated. (SLD)