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UMUAI
2008
110views more  UMUAI 2008»
13 years 7 months ago
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
Abstract. Self-efficacy is an individual's belief about her ability to perform well in a given situation. Because selfefficacious students are effective learners, endowing int...
Scott W. McQuiggan, Bradford W. Mott, James C. Les...
FLAIRS
2007
13 years 10 months ago
Assessing Entailer with a Corpus of Natural Language from an Intelligent Tutoring System
In this study, we compared Entailer, a computational tool that evaluates the degree to which one text is entailed by another, to a variety of other text relatedness metrics (LSA, ...
Philip M. McCarthy, Vasile Rus, Scott A. Crossley,...
AIEDU
2008
112views more  AIEDU 2008»
13 years 6 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
AIED
2007
Springer
14 years 1 months ago
Pedagogical Agents Trying on a Caring Mentor Role
: We describe the design and evaluation of an affective pedagogical agent persona for Intelligent Tutoring Systems. The goal of our research was to develop an agent embodying a per...
Konstantin Zakharov, Antonija Mitrovic, Lucy Johns...
AH
2006
Springer
13 years 11 months ago
A Model for Personalized Learning Through IDTV
Interactive Digital TV (IDTV) opens new learning possibilities where new forms of education are needed. In this paper we explain a new conception of t-learning experiences where TV...
Marta Rey-López, Ana Fernández Vilas...