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» Detecting Student Misuse of Intelligent Tutoring Systems
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UMUAI
2008
110views more  UMUAI 2008»
14 years 9 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
14 years 1 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
14 years 1 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
15 years 3 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
15 years 3 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