Cantitate/Preț
Produs

Student Modelling: The Key to Individualized Knowledge-Based Instruction: NATO ASI Subseries F:, cartea 125

Editat de Jim E. Greer, Gordon I. McCalla
en Limba Engleză Hardback – 28 mar 1994
This book is the result of a NATO sponsored workshop entitled "Student Modelling: The Key to Individualized Knowledge-Based Instruction" which was held May 4-8, 1991 at Ste. Adele, Quebec, Canada. The workshop was co-directed by Gordon McCalla and Jim Greer of the ARIES Laboratory at the University of Saskatchewan. The workshop focused on the problem of student modelling in intelligent tutoring systems. An intelligent tutoring system (ITS) is a computer program that is aimed at providing knowledgeable, individualized instruction in a one-on-one interaction with a learner. In order to individualize this interaction, the ITS must keep track of many aspects of the leamer: how much and what he or she has leamed to date; what leaming styles seem to be successful for the student and what seem to be less successful; what deeper mental models the student may have; motivational and affective dimensions impacting the leamer; and so ono Student modelling is the problem of keeping track of alI of these aspects of a leamer's leaming.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 125532 lei  43-57 zile
  Springer Berlin, Heidelberg – dec 2010 125532 lei  43-57 zile
Hardback (1) 126164 lei  43-57 zile
  Springer Berlin, Heidelberg – 28 mar 1994 126164 lei  43-57 zile

Din seria NATO ASI Subseries F:

Preț: 126164 lei

Preț vechi: 157705 lei
-20% Nou

Puncte Express: 1892

Preț estimativ în valută:
24152 24840$ 20037£

Carte tipărită la comandă

Livrare economică 17 februarie-03 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783540575108
ISBN-10: 3540575103
Pagini: 404
Ilustrații: X, 392 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.74 kg
Ediția:1994
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria NATO ASI Subseries F:

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1. Background.- 1. The State of Student Modelling.- 2. Artificial Intelligence Techniques for Student Modelling.- 2. Granularity-Based Reasoning and Belief Revision in Student Models.- 3. Student Modelling Through Qualitative Reasoning.- 4. Modeling the Student in Sherlock II.- 5. Using Machine Learning to Advise a Student Model.- 6. Building a Student Model for an Intelligent Tutoring System.- 3. Human Cognition and Student Modelling.- 7. Constraint-Based Student Modeling.- 8. Strengthening the Novice-Expert Shift Using the Self-Explanation Effect.- 9. Diagnosing and Evaluating the Acquisition Process of Problem Solving Schemata in the Domain of Functional Programming.- 4. Formalizing Student Modelling.- 10. Modelling a Student’s Inconsistent Beliefs and Attention.- 11. A Formal Approach To ILEs.- 12. Formal Approaches to Student Modelling.- 5. Epilogue.- 13. Re-Writing Cartesian Student Models.