Modeling affective responses in Intelligent Tutoring Systems

被引:3
|
作者
Pérez, YH [1 ]
Gamboa, RM [1 ]
Ibarra, OM [1 ]
机构
[1] Inst Invest Elect, Cuernavaca, Morelos, Mexico
关键词
D O I
10.1109/ICALT.2004.1357644
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An important trend in the development of Intelligent Tutoring Systems (ITS) has been that of integrating characteristics proper of human tutoring into their performance, with the aim of providing the student with a more personalized and friendly environment for learning according to his traits and progress. These characteristics may give the student the sensation that there is "someone" behind the program who follows his learning development and cares about him as a human tutor would. One of the most important highlights of personal tutoring is that of recognizing the student's affective state and reacting accordingly by expressing the pedagogical movements in an affectively suitable way. In this paper, a proposal for an affective behavior model to be used in ITS is presented. The aim of this model is to provide students with a suitable response from a pedagogical and affective viewpoint.
引用
收藏
页码:747 / 749
页数:3
相关论文
共 50 条
  • [31] A Bayes Net Toolkit for student modeling in intelligent tutoring systems
    Chang, Kai-Min
    Beck, Joseph
    Mostow, Jack
    Corbett, Albert
    INTELLIGENT TUTORING SYSTEMS, PROCEEDINGS, 2006, 4053 : 104 - 113
  • [32] Modeling the student in intelligent tutoring systems: The promise of a new psychometrics
    Everson, HT
    INSTRUCTIONAL SCIENCE, 1995, 23 (5-6) : 433 - 452
  • [33] Gesture-Based Affect Modeling for Intelligent Tutoring Systems
    Bustos, Dana May
    Chua, Geoffrey Loren
    Cruz, Richard Thomas
    Santos, Jose Miguel
    Suarez, Merlin Teodosia
    ARTIFICIAL INTELLIGENCE IN EDUCATION, 2011, 6738 : 426 - 428
  • [34] A qualitative comparison of techniques for student modeling in intelligent tutoring systems
    Gonzalez, Carolina
    Burguillo, Juan C.
    Llamas, Martin
    36TH ANNUAL FRONTIERS IN EDUCATION, CONFERENCE PROGRAM, VOLS 1-4: BORDERS: INTERNATIONAL, SOCIAL AND CULTURAL, 2006, : 855 - 860
  • [35] Modeling students' metacognitive errors in two intelligent tutoring systems
    Roll, I
    Baker, RS
    Aleven, V
    McLaren, BM
    Koedinger, KR
    USER MODELING 2005, PROCEEDINGS, 2005, 3538 : 367 - 376
  • [36] Ontology-based Learner Modeling in Intelligent Tutoring Systems
    Milosevic, Danijela
    Sukic, Camil
    Sendelj, Ramo
    TECHNICS TECHNOLOGIES EDUCATION MANAGEMENT-TTEM, 2010, 5 (02): : 271 - 277
  • [37] COGNITIVE MODELING AND INTELLIGENT TUTORING
    ANDERSON, JR
    BOYLE, CF
    CORBETT, AT
    LEWIS, MW
    ARTIFICIAL INTELLIGENCE, 1990, 42 (01) : 7 - 49
  • [38] Tutoring and Expert Modules of Intelligent Tutoring Systems
    Ramesh, Vyshnavi Malathi
    Rao, N. J.
    2012 IEEE FOURTH INTERNATIONAL CONFERENCE ON TECHNOLOGY FOR EDUCATION (T4E), 2012, : 251 - 252
  • [39] The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems
    VanLehn, Kurt
    EDUCATIONAL PSYCHOLOGIST, 2011, 46 (04) : 197 - 221
  • [40] Using Open Source Technologies and Generalizable Procedures in Conversational and Affective Intelligent Tutoring Systems
    Albornoz-De Luise, Romina Soledad
    Arevalillo-Herraez, Miguel
    Arnau, David
    ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, 2022, 13356 : 53 - 58