In this communication we propose to expose the main pedagogical ressource description standards limitations for the description of raw ressources, through the scope of pedagogical indexation of texts for language teaching. To do so we will resort to the testimony of language teachers reagarding their practices. We will then propose a model supposed to exceed these limitations. This model is art...

We describe research on data-drive refinement and evaluation of a probabilistic model of student learning for an educational game on number factorization. The model is to be used by an intelligent pedagogical agent to improve student learning during game play. An initial version of the model was designed based on teachers’ advice and subjective parameter settings. Here we illustrate data-driven...

The paper presents SmartEgg, an animated pedagogical agent developed for SQLT-Web, an intelligent SQL tutor on the Web. It has been shown in previous studies that pedagogical agents have a significant motivational impact on students. Our hypothesis was that even a very simple and constrained agent, like SmartEgg, would enhance learning. We report on an evaluation study that confirmed our hypoth...

In this article, I explore the question of what it means to create a science for all from the vantage point of urban homeless children. I draw on the work of critical and feminist scholars in science and education, as well as my own teaching and research with urban homeless children, to question how inclusive the science education community is in its efforts to understand the margins of science...

A computer-based training tool was developed through a collaborative design process. The tool allows trainee radiologists to access a large number of suspicious lesions. The tool employs a certainty-based scoring system in which trainees‟ responses are scored not just as right or wrong but according to their confidence. Different approaches to providing trainees with feedback were considered: o...

This study attempted to optimize a computer-based learning environment designed to teach learners how to solve word problems by incorporating an animated pedagogical agent. The agent was programmed to deliver instructional explanations either textually or aurally, while simultaneously using gaze and gesture to direct the learners to focus their attention on the relevant part of the example. In ...

This research proposes that an intelligent animated agent is able toprovide learning support, in the form of mentoring, to novice programmerswithin the Cognitive Apprenticeship pedagogy. This small paper outlinesthe nature of learning to program, how an intelligent agent may be used tosupport the learner and the design of a new architecture, called MRCHIPS,to control rea...

Animated pedagogical agents are life-like characters used as cognitive tools to support student learning. Pedagogical agents are better substitutes for the expert/tutor module of a traditional intelligent tutoring system as they provide sophisticated, real-time problemsolving advice with strong visual appeal that make learning more engaging and effective. In addition to this, animated pedagogic...

Using the Betty’s Brain Teachable Agents learning environment, we explored a potential relationship between a student’s responsiveness to pedagogical agent feedback and the student’s learning and performance in the system. We found that both dialogue and action responsiveness metrics were significantly correlated with learning gains in preto post-tests, but only action responsiveness was signif...

AMPLIA supports training of diagnostic reasoning and modelling of domains with complex and uncertain knowledge. It focuses on the medical area, and it helps a learner to create a Bayesian network for a certain problem. A pedagogic negotiation process (managed by an intelligent Mediator Agent) aids handle the differences of topology and probability distribution between the model the learner buil...