AIED
2009
Springer
14 years 5 months ago
2009
Springer
This paper describes a study in which student-created diagrams about arguments in an ill-defined domain were manually graded by two independent human graders. Findings include that...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
Recent years have seen increasing interest in narrative-centered learning environments. However, the same qualities that make them engaging can also introduce seductive details tha...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
AIED
2009
Springer
14 years 5 months ago
2009
Springer
Cultural profiling involves a complex interplay of multiple dimensions that are virtually impossible to wholly address. This paper explores several cultural (nationality and its as...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
The role of explicit feedback in learning has been studied from a variety of perspectives and in many contexts. In this paper, we examine the impact of the specificity of feedback ...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. While high interactivity has been one of the main characteristics of oneon-one human tutoring, a great deal of controversy surrounds the issue of whether interactivity is...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
This paper describes the use of sensors in intelligent tutors to detect students' affective states and to embed emotional support. Using four sensors in two classroom experime...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
Intelligent tutoring systems often rely on interactive tutored problem solving to help students learn math, which requires students to work through problems step-by-step while the ...
AIED
2009
Springer
14 years 5 months ago
2009
Springer
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...