Getting the Information You Need, When You Need It: A Context-aware Q&A System for Collaborative Learning
Key: DRT14-1
Author: Irina Diaconita, Christoph Rensing, Stephan Tittel
Date: September 2014
Kind: In proceedings
Publisher: Springer International Publishing
Book title: Open Learning and Teaching in Educational Communities. Proceedings of the 9th European Conference on Technology Enhanced Learning (Lecture Notes in Computer Science)
Keywords: smartphone sensing, collaborative learning, context
Abstract: Keeping up with the rapid development in their fields is a problem for many employees nowadays, particularly when the new information is meant to be used for problem solving. Collaborative approaches such as forums and question and answering (Q&A) systems managed to only partly mitigate this problem in cases where time constraints and user mobility are of no crucial concern. We present an enhancement to conventional Q&A applications which relies on user activity detection and question forwarding towards the available users. Our approach obtains a 90% precision in a garage experiment, proving itself as a viable solution for car technicians’ time and mobility constraints.
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