Topic
Intelligent tutoring system
About: Intelligent tutoring system is a research topic. Over the lifetime, 3472 publications have been published within this topic receiving 58217 citations. The topic is also known as: ITS.
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09 Jul 2013
TL;DR: This work is among the first empirical studies that successfully establish the beneficial role of self-assessment in students’ learning of problem-solving tasks in Intelligent Tutoring Systems (ITSs).
Abstract: According to Self-Regulated Learning theories, self-assessment by students can facilitate in-depth reflection and help direct effective self-regulated learning. Yet, not much work has investigated the relation between students’ self-assessment and learning outcomes in Intelligent Tutoring Systems (ITSs). This paper investigates this relation with classrooms using the Geometry Cognitive Tutor. We designed a paper-based skill diary that helps students take advantage of the tutor’s Open Learner Model to self-assess their problem-solving skills periodically, and investigated whether it can support students’ self-assessment and learning. In an experiment with 122 high school students, students in the experimental group were prompted periodically to fill out the skill diaries, whereas the control group answered general questions that did not involve active self-assessment. The experimental group performed better on the post-test, and the skill diaries helped lower-performing students to significantly improve their learning outcomes and self-assessment accuracy. This work is among the first empirical studies that successfully establish the beneficial role of self-assessment in students’ learning of problem-solving tasks in ITSs.
21 citations
06 Aug 2001
TL;DR: The architecture of a Web-based intelligent tutoring system (ITS) for teaching high school teachers how to use new technologies by using AI techniques to specify each user's model as well as to make pedagogical decisions is presented.
Abstract: The authors present the architecture of a Web-based intelligent tutoring system (ITS) for teaching high school teachers how to use new technologies. It offers course units covering the needs of users with different knowledge levels and characteristics. It tailors the presentation of the educational material to the users' diverse needs by using AI techniques to specify each user's model as well as to make pedagogical decisions. This is achieved via an expert system that uses a hybrid knowledge representation formalism integrating symbolic rules with neurocomputing.
21 citations
TL;DR: In this paper, the effectiveness of a web-based intelligent tutoring system (ITS) that a school offers to its students as optional homework, in a sample of 355 first-year secondary students, using an experimental design.
Abstract: This article examines an educational experiment with a unique combination of 3 elements: homework, the use of information and communication technology and a large degree of freedom of choice (student autonomy). More particularly, we study the effectiveness of a web-based intelligent tutoring system (ITS) that a school offers to its students as optional homework, in a sample of 355 first-year secondary students, using an experimental design. The results show that whether students make this noncompulsory homework in the web-based ITS is dependent on their prior achievement and their teacher, and if they practice, they tend to choose easier modules. Students thus do not seem to optimize learning gains, but rather balance their perceived value of practicing and their "expectancy," as found previously for regular (compulsory, non-ITS) homework. Regarding the value of choice, findings suggest that students may be poor judges of their most beneficial exercises pattern. Differentiation in ITS does not guarantee learning, unless scaffolding is tightly linked to it. In line with previous research, this research shows that practice does matter, though at varying intensities. Yet it also clarifies that motivation to make an effort is required, which adds to the lessons learned from homework research; both the perceived value and expectancy are at play and can be enhanced, for example, by teachers.
21 citations
TL;DR: An intelligent tutoring system is proposed in this paper to encourage students to learn through experimentation, proposing tasks on their own initiative, which involves putting into use all the skills, abilities, tools and, knowledge needed to successfully solve them.
21 citations
TL;DR: As OGITS targets individual knowledge acquisition of computer programming and web-based problem-solving skills, it offers a suitable learning environment for students both as a stand-alone course and as a supplement to traditional classroom settings.
Abstract: Games with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas f...
21 citations