One of the sectors that currently generate pollution is road transport. Millions of tons of CO2 are dumped every day into the atmosphere due to this type of human activity. Governments have seen the reduction of such emissions as a priority which according to various studies could be achieved through more efficient driving. This article presents a driver tutoring system based on active learning...

Student modeling (SM) is recognized as one of the central problems in the area of Intelligent Tutoring Systems. Numerous SM approaches have been proposed and used with more or less success. Constraint-based modeling is a new approach, which has been used successfully in three tutors developed in our group. The approach is extremely efficient, and it overcomes many problems that other student mo...

Authoring tools for Intelligent Tutoring System (ITS) have been shown to decrease the amount of time that it takes to develop an ITS. However, most of these tools currently do not extend to collaborative ITSs. In this paper, we illustrate an extension to the Cognitive Tutor Authoring Tools (CTAT) to allow for development of collaborative ITSs that can support a range of collaboration scripts. A...

Educational researchers need to exchange and compare their learnerinteraction data in order to benefit the learning science community as a whole. In order to support this, we propose accessing data in different repositories via a mediator component that maps generic queries to the specific format of a target repository. This approach is supported by a common ontology, and we illustrate the begi...

In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-parameter model developed by Corbett and Anderson [Nb]. In this paper, we investigate the nature of the parameter space defined by these four parameters by modeling data from over 8000 students in four Cognitive Tutor c...

This paper describes IBM’s automatic reading tutor system, the Reading Companion. The reading tutor aims to improve the literacy skills of beginning readers, both children and adults, and help adults who are non-native speakers of English to learn the language. We describe Reading Companion’s architecture, which allows a large, globally distributed reading companion community to create and shar...

Although tutoring is often dominated by tutor-generated explanations, they are rarely beneficial to tutees’ learning. In line with previous research, the relative ineffectiveness of tutorial explanations might be attributed to tutors’ insufficient skills in assessing tutees’ understanding. We conducted an experiment in which we tested whether the effectiveness of tutor-generated explanations ca...

PURPOSE: The open-source Perk Tutor training platform has been shown to improve trainee performance in interventions that require ultrasound guidance. Our goal was to determine if needle coordination of medical trainees can be improved by training with Perk Tutor compared to training with ultrasound only. METHODS: Twenty participants with no previous experience were randomized into two groups; ...

The reported work advances the state-of-the-art in assistive technology for the blind by enhancing a low-cost automated tutor designed to teach braille writing skills to visually impaired children. The relatively low cost of this tutor makes it relevant and accessible to blind communities in both the developed and the developing world. We build on our prior work to extend this tutor along three...

Authoring Intelligent Tutoring Systems is expensive and time consuming. To reduce costs, the Cognitive Tutor Authoring Tools and the Example-Tracing Tutor paradigm were developed to make the tutor authoring process more efficient. Under this paradigm, tutors are constructed by demonstrating behavior directly in a tutor interface, reducing the need for programming expertise. This paper evaluates...