The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring affective potential. To explore this potential, based some principles Kansei/Affective Engineering, an initial analysis was conducted considering 501 interventions a conversation among six students about previous e-learning experience. revealed need fo...

Abstract The aim of this work is to use the laboratory platform as a unique tool for engaging and encouraging students develop critical thinking guided self-evaluation abilities. Moreover, fact that teaching process in lab held small groups enables detection difficulties an early stage, thus allowing immediate feedback relevant assistance. Taking advantage environment we have developed rubric s...

Relevance Feedback is an important tool for grasping user's need in Interactive Content Based Image Retrieval (CBIR). Keeping this in mind, we have build up a framework using Relevance Vector Machine Classifier in interactive framework where user labels images as appropriate and inappropriate. The refinement of the images shown to the user is done using a few rounds of relevance feedback. This ...

Much of human learning in a social context has an interactive nature: What an individual learns is affected by what other individuals are learning at the same time. Games represent a widely accepted paradigm for representing interactive decision-making. We explored the potential value of neural networks for modeling and predicting human interactive learning in repeated games. We found that even...