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.