Criticizes weaknesses in the Gagne research model for checking the validity of learning hierarchies, and proposes a new model which is designed to overcome these weaknesses. (JR)

Hypothesized that instructional methods employing concrete models and exemplars of a concept will lead to better student understanding at both the concrete and formal operational levels of cognitive development. However, concrete operational students did not profit from the instructional methods and results were not clear for early formal…

Points out the fact that Piaget's objections to tests as ways of identifying cognitive structures and processes have been largely ignored in most of the replication studies conducted by English and American psychologists. (PEB)

The paper focuses on problems science educators and researchers must face before the advantage of paradigms can be realized. Examples of the role of paradigms in physics research are presented. A critique of paradigm use in physics is presented. Future variations of paradigms for science education are discussed. (Author/RE)

Argues that affective learning is a poorly understood phenomenon and that objective-setting and evaluation for learning in the affective domain are often neglected in educational programs. Addresses the problem this creates for nonformal science-learning centers. Contains 38 references. (DDR)

A model of memory developed by information processing psychologists is described, illustrating how such a model could be used to guide science education research on learning and problem solving. (Author/SK)

Described is a study that confirms positive effects on student achievement of manipulation of molecular models by high school chemistry students over a long period of time. Also examined but unanswered were questions regarding applications of Piaget's theories in determining differential effects for concrete and formal operational students. (CS)

Discusses a study which examined the last factor of Piaget's model of intelligence-functioning. Sought to determine if empirical evidence could be formed to support the existence of assimilation, disequilibrium, accommodation, and organization in the learning of physics. Naturalistic data provided support for the Piagetian functioning model of…

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)

Presents a theory of learning in science based on students deriving conceptual linkages among multiple models which represent physical phenomena at different levels of abstraction. Finds that high school students who were exposed to derivational links among three models for basic electricity performed better when solving both qualitative and…

Discusses the science education research agenda from the viewpoints of learning theorists, political and social scientists, counseling psychologists, cognition psychologists, and pedagogical researchers. Indicates that a broader perspective of these areas helps to link the research agenda to science teachers' questions/concerns, and to such areas…

Details two studies: (1) Study A describes a close replication of a Bishop and Anderson study (1990) using the same conceptual-change teaching module to teach a unit on evolution to nonmajor biology students; and (2) Study B used high school students, and the instruction was based on the inquiry approach to science. (28 references) (Author)

Speculates that physiological changes resulting from repeated, long-term stimulation in human and laboratory animal brains are related to short- and long-term memory processes. Describes a physiological-based model which may explain many current learning theory principles and can serve as a foundation for developing new learning theories based on…

Defines artificial intelligence (AI) in relation to intelligent computer-assisted instruction (ICAI) and science education. Provides a brief background of AI work, examples of expert systems, examples of ICAI work, and addresses problems facing AI workers that have implications for science education. Proposes a revised model of the Karplus/Renner…