Data-logging exercises in science classrooms assume that with the proper scaffolding and provision of contexts by instructors, pupils are able to meaningfully comprehend the experimental variables under investigation. From a case study of knowing and learning in a fish hatchery using real-time computer statistical software, we show that…

Advocates artificial neural networks as models for cognition and development. Provides an example of how such models work in the context of a well-known Piagetian developmental task and school science activity: balance beam problems. (Contains 59 references.) (Author/WRM)

Examines the relationships between the development of proportional reasoning strategies and three cognitive variables from Pascual-Leone's and Case's neo-Piagetian theories: (1) degree of field independence; (2) M-space; and (3) short-term storage space. Describes the ability of students to transfer problem-solving schemata to new contexts as well…

Information processing models do not account for much of human competence in everyday scientific and lay contexts. Situated cognition models account better for competence in widely differing situations. In situated cognition models, the purpose of science education must be reconceived as preparing citizens to participate in public enactments of…