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Mnemotechnics in Second-Language Learning
For some time I have been involved in efforts to develop computer-controlled systems for instruction. One such effort has been a computer-assistedinstruction (CAI) program for teaching reading in theExpand
Epistemology, situated cognition, and mental models: 'Like a bridge over troubled water'
Over the past two decades important educational implications have beendrawn mainly from two movements of epistemology: Constructivismand situated cognition. Aside from a meta-theoretical useExpand
Encyclopedia of the sciences of learning
Animal Learning and Ecology Artificial Intelligence / Intelligent Systems Biology / Neurobiology Clinical Psychology and Psychotherapy Comparative Psychology and Ethology Education / Socio-culturalExpand
Computer-Based Diagnostics and Systematic Analysis of Knowledge
Researchers and professionals in education psychology, instructional technology, computer science, and linguistics will find Computer-Based Diagnostics and Systematic Analysis of Knowledge a stimulating guide to a complex present and a rapidly evolving future. Expand
The mystery of cognitive structure and how we can detect it: tracking the development of cognitive structures over time
This work demonstrates how various indicators derived from graph theory can be used for a precise description and analysis of cognitive structures over time and proposes possibilities for the further development of this approach. Expand
Instruction and Mental Model Progression: Learner‐Dependent Effects of Teaching Strategies on Knowledge Acquisition and Analogical Transfer
ABSTRACT Two general functions of mental models are to represent human knowledge and to generate plausibility concerning real‐world phenomena. From the perspective of a constructivist epistemologyExpand
Model-based learning: a synthesis of theory and research
  • N. Seel
  • Computer Science
  • 11 January 2017
Early theoretical approaches in the realm of cognitive science, the emphasis will be on recent theoretical developments in the field of reinforcement learning that distinguish between model-based and model-free learning. Expand