The propositional approach to associative learning as an alternative for association formation models

Dickinson (2009) agrees with two of the core claims that were made in my target article (De Houwer, 2009): Associative learning effects (often) depend on (1) the formation of propositions and (2) the operation of nonautomatic processes. Whereas I derived these claims from propositional models of learning, Dickinson (2009) argues that they are also compatible with association formation models (AFMs). He also defends the position that only AFMs can explain “nonrational responses to associative experiences.” In this comment, I question whether there is much value in continuing to cling to AFMs.     

Special education supervisors' perceptions of secondary LD programs: a comparison with LD teachers' views

Perceptions of secondary LD program supervisors were identified and compared with views of secondary LD teachers regarding the presence of specific program features, field-related issues, and suggestions for program improvement. Responses indicated that the supervisors were more positive and, in many cases, held significantly different views than LD teachers.     

Gestalt principles of creating learning business ontologies for knowledge codification

This paper presents an approach aimed at creating business ontologies for knowledge codification in company. It is based on the principles of ontological engineering and cognitive psychology. Ontologies that describe the main concepts of knowledge are used both for knowledge creation and codification. The proposed framework is targeted at the development of methodologies that can scaffold the process of knowledge structuring and orchestrating for better understanding and knowledge sharing. The orchestrating procedure is the kernel of ontology development. The main stress is put on using visual techniques of mind mapping. Cognitive bias and some results of Gestalt psychology are highlighted as a general guideline. The ideas of balance, clarity, and beauty are applied to the ontology orchestrating procedures. The examples are taken mainly from the project management practice. The paper contributes to managerial practice by describing the practical recommendations for effective knowledge management based on ontology engineering and knowledge structuring techniques.