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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10 Jun 1992
TL;DR: The result of three trials with Grace and the lessons that are learned by having a wide variety of student populations in real classes are described and the changes to the Grace Tutor are discussed, which create greater congruence between the tutor and the actual programming environments used by the students.
Abstract: The Grace Intelligent Tutoring System is being developed within NYNEX Science & Technology, Inc. to assist in teaching COBOL to both novice and experienced programmers. We describe the result of three trials with Grace and the lessons that we learned by having a wide variety of student populations in real classes. We discuss the changes to the Grace Tutor which create greater congruence between the tutor and the actual programming environments used by the students. Finally we discuss the one aspect in which we do not consider the Grace Tutor a success: our inability to move Grace from the lab into everyday, classroom use. We discuss why we think this critical point has not yet been reached, not only by the Grace Tutor but by numerous other educational technology projects which have been only laboratory successes.
19 citations
TL;DR: This paper highlights the approach taken by the PHP ITS to analyse students’ programs that include a number of program constructs that are used by beginners of web development.
Abstract: Programming is a subject that many beginning students find difficult. The PHP Intelligent Tutoring System (PHP ITS) has been designed with the aim of making it easier for novices to learn the PHP language in order to develop dynamic web pages. Programming requires practice. This makes it necessary to include practical exercises in any ITS that supports students learning to program. The PHP ITS works by providing exercises for students to solve and then providing feedback based on their solutions. The major challenge here is to be able to identify many semantically equivalent solutions to a single exercise. The PHP ITS achieves this by using theories of Artificial Intelligence (AI) including first-order predicate logic and classical and hierarchical planning to model the subject matter taught by the system. This paper highlights the approach taken by the PHP ITS to analyse students’ programs that include a number of program constructs that are used by beginners of web development. The PHP ITS was built using this model and evaluated in a unit at the Queensland University of Technology. The results showed that it was capable of correctly analysing over 96 % of the solutions to exercises supplied by students.
19 citations
TL;DR: An intelligent tutoring system is used to analyze the effect that intensive scaffolding has on the learning of algebraic word problem solving and shows a significant increase of the competence in AWPS in the group that used the ITS withintensive scaffolding.
Abstract: The term intensive scaffolding refers to any set of conceptual scaffolding strategies that always allow the user to find the solution to a problem. Despite the many benefits of scaffolding, some negative effects have also been reported. These are mainly related to the possibility that a student solves the problems without actually engaging in their content. In this paper, we have used an intelligent tutoring system ( ITS) to analyze the effect that intensive scaffolding has on the learning of algebraic word problem solving ( AWPS). Two different versions of the ITS, which differ in the amount of scaffolding that they provide, have been created. These two versions were used by two groups of students in Secondary Education, in a quasi-experimental study. The comparison of pre- and posttest scores shows a significant increase of the competence in AWPS in the group that used the ITS with intensive scaffolding. [ABSTRACT FROM AUTHOR]
19 citations
18 Sep 2012
TL;DR: This demonstration introduces Ask-Elle, a Haskell tutor that supports the incremental development of Haskell programs, and discusses how a teacher can configure its behaviour.
Abstract: In this demonstration we will introduce Ask-Elle, a Haskell tutor. Ask-Elle supports the incremental development of Haskell programs. It can give hints on how to proceed with solving a programming exercise, and feedback on incomplete student programs. We will show Ask-Elle in action, and discuss how a teacher can configure its behaviour.
19 citations
TL;DR: An overview of the systems architecture is presented that integrates the ITS with data mining tools and performs a number of educational data mining processes to increase the adaptivity and, consequently, the efficiency of the ITS.
Abstract: Intelligent Tutoring Systems (ITSs) are inherently adaptive e-learning systems usually created for teaching well-defined domains (e.g., mathematics). Their objective is to guide the student towards a predefined goal such as completing a lesson, task, or mastering a skill. Defining goals and guiding students is more complex in ill-defined domains where the expert defines the model of the knowledge domain or the students have freedom to follow their own path through it. In this paper we present an overview of our systems architecture that integrates the ITS with data mining tools and performs a number of educational data mining processes to increase the adaptivity and, consequently, the efficiency of the ITS.
19 citations