Stoic Behavior in Hint Seeking when Learning using an Intelligent Tutoring System
نویسندگان
چکیده
Stoic behavior is defined as a behavior in which students tend not to seek help with a challenge. We investigated two types of stoic behavior: keeping-off behavior, in which students restrain themselves from requesting help, i.e., keep levels of help support at a minimum, and self-fading behavior, in which students voluntarily lower levels of support on their own volition. Three experiments were conducted. Overall, results showed that the participants actually exhibited stoic behavior when learning in an actual classroom setting. Self-fading was more difficult than the keeping-off behavior. The participants who maintained levels of support at a minimum through exhibiting active keeping-off behavior achieved greater learning gains, suggesting that stoic behavior resulted in positive impacts on learning. However, our experiment did not detect this effect for self-fading behavior. These experimental results were discussed with the assistance dilemma problem, generally occurring in instruction by intelligent tutoring systems.
منابع مشابه
Stoic Behavior Hypothesis in Hint Seeking and Development of Reversi Learning Environment as Work Bench for Investigation
Tutoring systems provide students with various types of on-demand and context-sensitive hints. Students are required to consciously adapt their help-seeking behavior, proactively seek help in some situations, and solve problems independently without supports in other situations. We define the latter behavior as stoic behavior in hint seeking. In this paper, we propose the “Stoic Behavior Hypoth...
متن کاملModeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems
Intelligent tutoring systems help students acquire cognitive skills by tracing students’ knowledge and providing relevant feedback. However, feedback that focuses only on the cognitive level might not be optimal errors are often the result of inappropriate metacognitive decisions. We have developed two models which detect aspects of student faulty metacognitive behavior: A prescriptive rational...
متن کاملImproving students’ help-seeking skills using metacognitive feedback in an intelligent tutoring system
The present research investigated whether immediate metacognitive feedback on students’ help-seeking errors can help students acquire better help-seeking skills. The Help Tutor, an intelligent tutor agent for help seeking, was integrated into a commercial tutoring system for geometry, the Geometry Cognitive Tutor. Study 1, with 58 students, found that the real-time assessment of students’ help-...
متن کاملToward Tutoring Help Seeking: Applying Cognitive Modeling to Meta-cognitive Skills
The goal of our research is to investigate whether a Cognitive Tutor can be made more effective by extending it to help students acquire help-seeking skills. We present a preliminary model of help-seeking behavior that will provide the basis for a Help-Seeking Tutor Agent. The model, implemented by 57 production rules, captures both productive and unproductive help-seeking behavior. As a first ...
متن کاملStudent Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter?
We analyze log-data generated by an experiment with Mathtutor, an intelligent tutoring system for fractions. The experiment compares the educational effectiveness of instruction with single and multiple graphical representations. We extract the error-making and hint-seeking behaviors of each student to characterize their learning strategy. Using an expectation-maximization approach, we cluster ...
متن کامل