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.
Papers published on a yearly basis
Papers
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TL;DR: The current paper describes the initial user test, which was conducted at the University of Valladolid for the course “Network Design” and shows that students with INTUITEL follow learning paths that are more suitable for them.
Abstract: INTUITEL is a research project aiming to offer a personalized learning environment. The INTUITEL approach includes an Intelligent Tutoring System that gives students recommendations and feedback about what the best learning path is for them according to their profile, learning progress, context and environmental influences. INTUITEL combines efficient pedagogical-based recommendations with freedom of choice and it introduces this tutoring support in different Learning Management Systems. During the INTUITEL project various software and pedagogical testing procedures were defined to provide the development teams with feedback, both summative and formative. The current paper describes the initial user test, which was conducted at the University of Valladolid for the course “Network Design”. The experiment was focused on real learners’ reactions to INTUITEL recommendations received by an INTUITEL-enabled LMS. Nineteen students participated in a two phase testing procedure in order to analyze the learners’ behavior with INTUITEL, as well as obtaining information about how learners perceive the influence and usefulness of the tutoring system in online learning courses. Results show that students with INTUITEL follow learning paths that are more suitable for them. Besides, the general satisfaction level of participants is high. Most learners appreciate INTUITEL, would follow its recommendations and consider the messages shown by INTUITEL as useful and caring.
20 citations
01 Jan 2012
TL;DR: This paper proposes the provision of feedback based on solution spaces which are automatically clustered by machine learning techniques operating on sets of student solutions and validated in an expert evaluation with a data set from a programming course.
Abstract: Designing an Intelligent Tutoring System (ITS) usually requires precise models of the underlying domain, as well as of how a human tutor would respond to student mistakes. As such, the applicability of ITSs is typically restricted to welldefined domains where such a formalization is possible. The extension of ITSs to ill-defined domains constitutes a challenge. In this paper, we propose the provision of feedback based on solution spaces which are automatically clustered by machine learning techniques operating on sets of student solutions. We validated our approach in an expert evaluation with a data set from a programming course. The evaluation confirmed the feasibility of the proposed feedback provision strategies.
20 citations
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01 Jan 2010TL;DR: In this paper, a regression model for frustration and excitement was used to predict student's appraisal of feedback provided in an intelligent tutoring system. But, the model was only able to achieve 0.724 correlation with a 0.164 RMSE.
Abstract: Students have different ways of learning and have varied reactions to feedback. Thus, allowing a system to predict how students would appraise certain feedback gives it the capability to adapt to what would help a student learn better. This research focuses on the prediction of a student's appraisal of feedback provided in an intelligent tutoring system (ITS). A regression model for frustration and excitement is created to perform prediction. The frustration model was able to achieve a 0.724 correlation with a 0.164 RMSE and the excitement model was able to achieve 0.6 a correlation with a 0.189 RMSE. These results indicate the potential of using these models for allowing systems to adjust feedback automatically based on student's reactions while using an ITS.
20 citations
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TL;DR: A web based intelligent tutoring system for teaching Android Applications Development to students to overcome the difficulties they face and is automatically adapted at run time to the student’s individual growth.
Abstract: The paper describes the design of a web based intelligent tutoring system for teaching Android Applications Development to students to overcome the difficulties they face. The basic idea of this system is a systematic introduction into the concept of Android Application Development. The system presents the topic of Android Application Development and administers automatically generated problems for the students to solve. The system is automatically adapted at run time to the student’s individual growth. The system provides obvious support for adaptive demonstration constructs. An initial assessment study was done to examine the effect of using the intelligent tutoring system on the performance of students enrolled in Smartphone Applications Development in the University College of Applied Sciences, Gaza. The results showed a positive impact on the evaluators.
20 citations
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TL;DR: In this article, the authors examined the pedagogical effectiveness of a Chinese mathematical dialogue-based intelligent tutoring system used for teaching mathematics and found that the mathematical unit "multiplica...
Abstract: The present study aims to examine the pedagogical effectiveness of a Chinese mathematical dialogue-based intelligent tutoring system used for teaching mathematics. The mathematical unit ‘multiplica...
20 citations