Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these…

This article offers an overview of the nature and role of relational thinking and relational reasoning in human learning and performance, both of which pertain to the discernment of meaningful patterns within any informational stream. Distinctions between thinking and reasoning relationally are summarized, along with specific forms of patterning…

Cognitive theories of problem solving and suggestions made by cognitive psychologists regarding how to teach problem solving are reviewed. Theories and suggestions from creativity research are also considered. The results are summarized in terms of a description of how high levels of proficiency in problem solving are acquired and how problem…

Reviews recent progress in modeling human cognition, in particular the use of computers in generating models. Topics covered include the information processing approach to cognition, problem solving, semantic memory, pattern induction, and learning and cognitive development. A 164-item reference list is attached. (JL)

This paper discusses the theoretical problem of matching and abstraction of concepts as the processes occur in human minds, and the structures used to represent these processes for use in automated, knowledge based systems. A basic premise of the paper is that hierarchies play a crucial role in structuring knowledge and in solving problems. Data…

Two theories of clinical problem solving are contrasted; studies of medical problem solving are described; evidence is presented to highlight the central role of experience in development of problem-solving competence; and implications for teaching and assessment of problem solving, especially in medical education, are suggested. (MBR)

Artificial intelligence (AI) is the field of scientific inquiry concerned with designing machine systems that can simulate human mental processes. The field draws upon theoretical constructs from a wide variety of disciplines, including mathematics, psychology, linguistics, neurophysiology, computer science, and electronic engineering. Some of the…

Although medical education currently emphasizes problem solving skills, recent evidence from psychological studies of clinical reasoning suggests that medical expertise is characterized by the gradual accumulation of experience in memory. This results in an ability to perceive, organize, and recall the extensive information given by the patient.…

Research developments in cognitive psychology, and their implications for teaching and learning at the level of professional education, are summarized. Areas discussed include organization of long-term memory, influences on storage and retrieval from memory, problem solving and transfer/use of analogy, concept formation/categorization/pattern…

This paper presents an instructional model for thinking skills and discusses implementing the model. Based on a unitary theory of human cognition and some basic assumptions about the conditions for successfully intervening in public education, the model can be implemented at any grade level within any instructional framework. Currently used models…