Adaptive Learning Environments

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.

Adaptive learning environments can be viewed as the intersection of instructional science and computer science. This book is a collection of chapters by instructional scientists and computer scientists whose work links to or directly addresses ALEs.