An Approach of Student Modelling in a Learning Companion System

Faraco, Rafael Ávila; Rosatelli, Marta Costa; Gauthier, Fernando Alvaro Ostuni

doi:10.1007/978-3-540-30498-2_89

Cited by 14 publications

(6 citation statements)

References 7 publications

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“…Hung and his colleagues in 2005, used the perturbation model (also called buggy model), with 31 types of addition errors and 51 subtraction errors, to help the system analyze and reason with student's mistakes [53]. LeCo-EAD uses the perturbation model to represent students' incorrect knowledge to provide personalized feedback and support to distant students in real time [68]. The perturbation model was also used by Surjano and Maltby in combination with stereotypes and the overlay model to perform a better remediation of student mistakes [69].…”

Section: Perturbationmentioning

confidence: 99%

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

Alkhatlan¹,

Kalita²

2019

IJCA

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This paper provides interested beginners with an updated and detailed introduction to the field of Intelligent Tutoring Systems (ITS). ITSs are computer programs that use artificial intelligence techniques to enhance and personalize automation in teaching. This paper is a literature review that provides the following: First, a review of the history of ITS along with a discussion on the interface between human learning and computer tutors and how effective ITSs are in contemporary education. Second, the traditional architectural components of an ITS and their functions are discussed along with approaches taken by various ITSs. Finally, recent innovative ideas in ITS systems are presented. This paper concludes with some of the author's views regarding future work in the field of intelligent tutoring systems. General Terms

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Section: Perturbationmentioning

confidence: 99%

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

Alkhatlan¹,

Kalita²

2019

IJCA

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“…The student model is a rather important component since it is where the STI bases itself to interact with the student and to give learning feedback [10], [12], [16]. There is not a unique approach that defines it, nonetheless.…”

Section: Related Workmentioning

confidence: 97%

An Artificial Intelligence Based Model for Algebra Education

Alonso-Lavernia

Barceló

2009

2009 Fifth International Joint Conference on INC, IMS and IDC

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Given the variety of operations that can be performed with monomials and polynomials, learning Algebra requires constant student training. Therefore, numerous solutions have been offered to resolve this problem, some with many possibilities for introducing content, others with an emphasis on practice, but very few with a follow-up of student activities. In the latter cases some statistical information of their interaction with the system is offered.This paper presents a comprehensive educational model for teaching Algebra, which includes, in addition to an educational system with wide opportunities for interaction with the student, a mechanism for generating dynamic exercises and a method of adaptive training based on records of student performance. These three features, with the possibility of emulating human behavior from knowledge-based systems, make this model an intelligent consulting tool for learning this subject.

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“…In the study of Rafael et ai, they put forwards "concept to grasp degree" which consists of quantitative indicators to show students' learning [13]. The foremost study described in detail the principles of quantitative indicators, but the "concept to grasp degree" has not been realized in practice.…”

Section: The Grasp Degree Towards Conceptsmentioning

confidence: 99%

An approach for designing test bank in adaptive learning system

Huang²

2014

2014 9th International Conference on Computer Science &Amp; Education

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The study puts forward an approach for designing test bank used in adaptive learning system. The approach is based on a mechanism called grasp degree towards concepts, which can record the students' learning performance. Through grasp degree towards concepts, the learning system could provide adaptive guides for learners. On the basis of this mechanism, the study establishes a test question database for C programming course. The test question database is embedded in an adaptive learning platform, with B/S as the underlying framework, relying on Java web technology and SSH (Spring + Struts + Hibernate) framework for implementation. This paper describes the underlying design for the test question bank.

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An Approach of Student Modelling in a Learning Companion System

Cited by 14 publications

References 7 publications

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

An Artificial Intelligence Based Model for Algebra Education

An approach for designing test bank in adaptive learning system

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