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UMUAI
2008
110views more  UMUAI 2008»
14 years 11 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
15 years 2 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»
14 years 10 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
15 years 5 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
15 years 3 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...