Computer assisted learning : selected contributions from the CAL91 Symposium, 8-11 April 1991, Lancaster University /
This volume contains a selection of the best papers from the Computer Assisted Learning '91 Symposium. It includes research on a wide range of topics related to computers and learning with an emphasis on hard research evidence and innovative explorations.
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , |
Formato: | Electrónico Congresos, conferencias eBook |
Idioma: | Inglés |
Publicado: |
Oxford :
Pergamon Press,
1992.
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Edición: | First edition. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Computer Assisted Learning; Copyright Page; Table of Contents; PREFACE; INTERNATIONAL PROGRAMME COMMITTEE; CHAPTER 1. REASONING SUPPORTED BY COMPUTATIONAL TOOLS; INTRODUCTION; LEARNING AND REASONING; CHOICE OF TOOLS; RESEARCH STRATEGY; TOPICS AND TASKS; DATA COLLECTION; DATA ANALYSIS; CONCLUSIONS; REFERENCES; APPENDIX; CHAPTER 2. OBJECT-LESSONS FROM SELF-EXPLANATORY OBJECTS; INTRODUCTION; SEO AIMS; INTERFACES AND HELP SYSTEMS; OBJECTS, EXPLANATION AND SELF-EXPLANATION; SELF-EXPLANATORY OBJECTS; THE EMPIRICAL STUDIES; DISCUSSION; REFERENCES.
- Chapter 3. how can intelligent cal better adapt to learners?introduction; systemic student modelling for ical; empirically important learner attributes six key components of a student model for tutoring; questioning and diagnostic techniques needed to build learner models; articulation-how human tutors use their models of their students, including the student's models of the tutor; conclusion; references; chapter 4. modelling domain knowledge for intelligent simulation learning environments*; 1. introduction; 2. knowledge related to computer simulations; 3. formalisation of domain knowledge.
- 4. the conceptual domain model5. discussion; references; chapter 5. pedagogical decisions within an its-shell; 1. introduction; 2. architecture; 3. representing domain-dependent pedagogical knowledge; 4. a teacher-managed pedagogical component; 5. conclusions; references; chapter 6. a differential diagnostic skills assessment and tutorial tool; introduction; computational models of information processing under uncertainty; the tendency towards a deterministic approach to decision making; classification and pattern recognition; assessment issues.
- Knowledge base extraction and ddx skills assessmentcorrelations between skills and constructs; advantages of an explicit cognitive and integrated paradigm for assessment and instruction in ddx; current and proposed instructional features; conclusion; references; chapter 7. educational and research utilization of a dynamic knowledge base; 1. introduction; 2. knowledge representation and knowledge acquisition; 3. memory structures and textual information processing; 4. educational basis of our approach; 5. an overview of the system; 6. dynamic knowledge base (dkb) implementation; 7. conclusions.