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Adaptive Learning Environments (ALEs) can be viewed as theintersection of two traditionally distinct areas ofresearch: instructional science and computer science. Theyencompass intelligent tutoring systems, interactive learningenvironments, and situated learning environments. There isincreasing interest in effective instructional systems fromeducation, industry, military and government sectors. Givenrecent advances in hardware architecture and reduction ofhardware costs, the time is right to define the next stepsin research and development of ALEs.This book is an outgrowth of the presentations anddiscussions that took place at the NATO Advanced StudyInstitute held at the University of Calgary in July 1990. Itcontains chapters from both researchers in instructionalscience and researchers in computer science on the followingtopics:- Systems and architectures for instruction- Representing curriculum and designing instructional tasks- Environments to support learning- Diagnosing students' learning and adjusting plans forinstruction- Models of students' metacognition, motivation and learningstrategies- Student-system interactions.The book containsintroductions/critiques of each pair ofchapters, and a final chapter discusses the synthesis ofinstructional science and computer science.
List of contents
1. Systems and Architectures for Instruction.- Designing Instructional Computing Systems for Meaningful Learning.- Artificial Instruction: A Method for Relating Learning Theory to Instructional Design.- 2. Representing Curriculum and Designing Instructional Tasks.- The Search for Adaptability, Flexibility, and Individualization: Approaches to Curriculum in Intelligent Tutoring Systems.- The Curriculum and Instructional Tasks: Goals, Strategies, and Tactics for Interactive Learning.- 3. Environments to Support Learning.- Exploratory Multi-media Environments.- Technological Support for the Learning and Doing of Design.- 4. Diagnosing Students' Learning and Adjusting Plans for Instruction.- Towards a Computational Model of Tutoring.- Phenomenographic Research and the Design of Diagnostic Strategies for Adaptive Tutoring Systems.- 5. Models of Students' Metacognition, Motivation, and Learning Strategies.- Metacognitive Models of Learning and Instructional Systems Design.- The Language Shift: a Mechanism for Triggering Metacognitive Activities.- 6. Student-System Interactions.- Nobile: User Model Acquisition in a Natural Laboratory.- State-of-the-Art Instructional Computing Systems that Afford Instruction and Bootstrap Research.- 7. Synthesis.- Synthesizing Instructional and Computational Science.- Contributors.
