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» Detecting Student Misuse of Intelligent Tutoring Systems
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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...
AIED
2011
Springer
12 years 11 months ago
Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements
We have created a math learning environment with game-like elements such as narrative, visual feedback, personalization, collection, etc. We made a study with four different versio...
Dovan Rai, Joseph E. Beck
FLAIRS
2011
12 years 11 months ago
Motivational Impacts of a Game-Based Intelligent Tutoring System
iSTART is an intelligent tutoring system (ITS) designed to improve students’ reading comprehension. Previous studies have indicated that iSTART is successful; however, these stu...
G. Tanner Jackson, Danielle S. McNamara
AIED
2005
Springer
14 years 1 months ago
Do Performance Goals Lead Students to Game the System?
Students approach the learning opportunity offered by intelligent tutoring systems with a variety of goals and attitudes. These goals and attitudes can substantially affect student...
Ryan Shaun Baker, Ido Roll, Albert T. Corbett, Ken...
AIED
2007
Springer
14 years 1 months ago
The Effect of Problem Templates on Learning in Intelligent Tutoring Systems
: This paper proposes the notion of problem templates (PTs), a concept based on theories of memory and expertise. These mental constructs allow experts to quickly recognise problem...
Moffat Mathews, Antonija Mitrovic