This paper describes localization issues in relation to AIED systems in the developing world, and analyzes the particular case of the successful immersion of learning technologies to schools in Pakistan. The paper analyzes the needs for personalized learning in the developing world in comparison to countries such as the United States. A model and a survey based on various types of localization ...

We describe an evaluation of two intelligent tutoring system authoring tool paradigms, graphical user interface-based and text-based by taking the examples of CTAT and xPST respectively, in two domains, statistics and geometry. We conducted a study with 16 tutor-authors divided into 2 groups (programmers and non-programmers). Our results showed that the GUI-based approach, aided by the visualiz...

Cortico-basal ganglia circuits are thought to mediate goal-directed learning by a process of outcome evaluation to gradually select appropriate motor actions. We investigated spiking activity in core and shell subregions of the cortical nucleus LMAN during development as juvenile zebra finches are actively engaged in evaluating feedback of self-generated behavior in relation to their memorized ...

This paper aims to determine the natural transitions that take place among students‘ affective states while using SQL-Tutor, a constraint-based intelligent tutor that teaches Structured Query Language (SQL). Intelligent tutoring systems, such as SQL-Tutor, have been used by various institutions to overcome the difficulties of students in learning difficult subject matter. In this paper, the res...

This paper describes a prototype of a simulated student that learns by interacting with a human tutor The system solves physics problems while showing its work on a workstation screen and the tutor can intervene at certain points during problem solving to advise the simulated student In particular the tutor can cross out incorrect actions and or enter correct actions These interactions cause th...

Tutorial dialogue is a highly effective way to support student learning. It is widely recognized that tutor dialogue moves can significantly influence learning outcomes, but the ways in which tutor moves, student affective response, and outcomes are related remains an open question. This paper presents an analysis of student affective response, as evidenced by multimodal data streams, immediate...

This paper reports results on using data mining to extract useful variables from a database that contains interactions between the student and Project LISTEN’s Reading Tutor. Our approach is to find variables we believe to be useful in the information logged by the tutor, and then to derive models that relate those variables to student’s scores on external, paper-based tests of reading proficie...