The Resource Cognitive trait model for adaptive learning environments : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information System [i.e. Systems], Massey University, Palmerston North, New Zealand, Tai-Yu Lin

Cognitive trait model for adaptive learning environments : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information System [i.e. Systems], Massey University, Palmerston North, New Zealand, Tai-Yu Lin

Label
Cognitive trait model for adaptive learning environments : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information System [i.e. Systems], Massey University, Palmerston North, New Zealand
Title
Cognitive trait model for adaptive learning environments
Title remainder
a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information System [i.e. Systems], Massey University, Palmerston North, New Zealand
Statement of responsibility
Tai-Yu Lin
Creator
Subject
Language
eng
Summary
"Mr Lin's thesis led to the development of a cognitive trait model, which offers an innovative student modelling approach. The cognitive trait model is a domain-independent and persistent student model suitable for the practice of life-long learning and student-oriented learning systems. In the model, three cognitive traits, namely, working memory capacity, inductive reasoning ability and divergent associative learning, are included. The model uses students' online learning behaviours to find out their cognitive traits. This model can then be utilised by adaptive virtual learning environments to tailor the learning materials according to the cognitive traits of students. Evaluations conducted with psychometric tools proved the effectiveness of Mr Lin's cognitive trait modelling and revealed important insights about the three cognitive traits"--Massey University doctoral citation
Cataloging source
PU
http://library.link/vocab/creatorName
Lin, Taiyu
Dissertation note
Thesis (Ph. D.)--Massey University, Palmerston North, 2007
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • abstracts summaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Computer-assisted instruction
  • Cognitive learning theory
  • Instructional systems
Label
Cognitive trait model for adaptive learning environments : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information System [i.e. Systems], Massey University, Palmerston North, New Zealand, Tai-Yu Lin
Instantiates
Publication
Note
NO BORROWABLE COPY
Bibliography note
Includes bibliographical references
Contents
ch. 1. General introduction -- ch. 2. Literature review -- ch. 3. Cognitive trait model -- ch. 4. Semantic relation analysis -- ch. 5. Multiple portrayal network -- ch. 6. Working memory capacity -- ch. 7. Inductive reasoning ability -- ch. 8. Divergent associative learning -- ch. 9. Theoretical validation -- ch. 10. Web-OSPAN: web-based computerised measurement of working memory capacity -- ch. 11. Web-based tools to measure inductive reasoning ability -- ch. 12. Web-DAL: web-based computerised tool to measure divergent associative learning -- ch. 13. Relations of cognitive traits from psychometric tests -- ch. 14. Implementation details of learning system -- ch. 15. Empirical evaluation of working memory capacity -- ch. 16. Empirical evaluation of inductive reasoning ability -- ch. 17. Empirical evaluation of divergent associative learning -- ch. 18. Conclusion
Control code
12065609
Dimensions
30 cm
Extent
1 v. (various pagings)
Other physical details
ill.
Label
Cognitive trait model for adaptive learning environments : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information System [i.e. Systems], Massey University, Palmerston North, New Zealand, Tai-Yu Lin
Publication
Note
NO BORROWABLE COPY
Bibliography note
Includes bibliographical references
Contents
ch. 1. General introduction -- ch. 2. Literature review -- ch. 3. Cognitive trait model -- ch. 4. Semantic relation analysis -- ch. 5. Multiple portrayal network -- ch. 6. Working memory capacity -- ch. 7. Inductive reasoning ability -- ch. 8. Divergent associative learning -- ch. 9. Theoretical validation -- ch. 10. Web-OSPAN: web-based computerised measurement of working memory capacity -- ch. 11. Web-based tools to measure inductive reasoning ability -- ch. 12. Web-DAL: web-based computerised tool to measure divergent associative learning -- ch. 13. Relations of cognitive traits from psychometric tests -- ch. 14. Implementation details of learning system -- ch. 15. Empirical evaluation of working memory capacity -- ch. 16. Empirical evaluation of inductive reasoning ability -- ch. 17. Empirical evaluation of divergent associative learning -- ch. 18. Conclusion
Control code
12065609
Dimensions
30 cm
Extent
1 v. (various pagings)
Other physical details
ill.

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