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Intelligent Tutoring: Active Monitoring and Recommendation

Intelligent Tutoring: Active Monitoring and Recommendation
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Author(s): Manuel Fernando Rodrigues (Polytechnic Institute of Porto, Portugal), Sérgio Manuel Gonçalves (University of Vigo, Spain), Ricardo Santos (Polytechnic Institute of Porto, Portugal), Florentino Fdez-Riverola (University of Vigo, Spain)and Davide Carneiro (University of Minho, Portugal)
Copyright: 2016
Pages: 20
Source title: Interdisciplinary Perspectives on Contemporary Conflict Resolution
Source Author(s)/Editor(s): Paulo Novais (University of Minho, Portugal)and Davide Carneiro (University of Minho, Portugal)
DOI: 10.4018/978-1-5225-0245-6.ch012

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Abstract

Society has been changing dynamically over the years and technology has been boosting that change. Teaching, as a social activity has not been changing at the same speed. Technology enhanced learning, arises as a way to cope with that challenge, opening new paths for learning. However, sometimes it becomes difficult to cope with student´s challenges: interest, motivation, attention, are difficult to achieve with the so called net-generation. With an amazing new world at the touch of their fingers, the focus is on new, challenging and interesting things, leaving very little room to other activities. Keeping students in the right track, interested and motivated is in fact an enormous challenge. Fatigue and stress play an important role in this equation: they can dramatically decrease students' performance. Controlling these factors, in such a way that´s unaware by students, is the best way to achieve better results, as the data gathering process does not interfere with the parameters being monitored. The aim is to forecast negative situations taking some actions to mitigate them.

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