Items related to Instructional Models in Computer-Based Learning Environments
Synopsis
Instructional models in computer-based learning environments.- Instructional models in computer-based learning environments.- Content and delivery planning.- An introduction to instructional transaction theory.- The useful representation of instructional objectives: A task analysis of task analysis.- The significance of prescriptive decision theory for instructional design expert systems.- Transforming knowledge into learnable content.- Modeling requirements for intelligent training systems.- G's dynamic learner model.- The description of subject matter and instructional methods for computer-based learning.- The study of problem characteristics in programming tutors.- PEPE: A computational framework for a content planner.- A generic task model for instruction.- Instructional strategies, methods, and techniques.- An instructional strategy to teach a cognitive strategy via intelligent computer-assisted instruction: A design.- A descriptive model of instructional processes in interactive learning environments for elementary computer programming.- Two models of classroom learning using a communal database.- Adaptive tutoring of arithmetic skills.- Cognitive development based on process-learning environments.- Instructional strategies for teaching database query languages.- Extensions of intelligent tutoring paradigms to support collaborative learning.- Contextual module analysis in instructional design.- IByD: Computer support for developing unit plans: A first study.- (S)GML-based hypermedia: Generic resources for exploratory learning.- Hypertext as a strategy for teaching and assessing knowledge representation.- The delicate balance between learner and system control.- Cognitive flexibility theory and its implications for designing CBI.- Exploratory learning from computer-based systems.- A cooperative system for the interactive debugging of novice programming errors.- Programming languages and dynamic instructional tools: Addressing students' knowledge base.- The instructional design of CAI for problem solving in mathematics.- Dynamic interfaces for computer-based simulations in pharmacology.- Implementing learner control in an automated instructional system.
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