A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques
Journal
International Conference on Architecture of Computing Systems (ARCS)
Type
conference paper
Date Issued
2018
Author(s)
Calma, Adrian
Kuhn, Jochen
Lukowicz, Paul
Oeste-Reiß, Sarah
Schmidt, Albrecht
Sick, Bernhard
Stumme, Gerd
Tomforde, Sven
Zweig, Anna Katharina
Research Team
IWI 6
Abstract
The academic success of individual students differs widely and it depends on various factors, ranging from financial to social and to health aspects. In this article, we propose a concept for a novel productivity tracking system that provides the basis for a self-assessment of academic behaviour and that can be used by students to support their academic success. The development of such a system requires interdisciplinary efforts, most of them located in the field of collaborative interactive learning (CIL) that is grounded on a socio-technical system perspective. The system is interactive since it is based on bidirectional communication, collaborative in the sense that it uses students, other students, and external sources such as the Internet for generation of knowledge, and learning in the sense that it continuously and autonomously acquires knowledge. It is further self-organised as it decides about interaction partners and self-adaptive in terms of modifying its behaviour according to changing conditions.
Language
English
Keywords
Collaboration
Collaborative Interactive Learning
Hybrid Intelligence
Learning
HSG Classification
contribution to practical use / society
Publisher
VDE
Event Title
International Conference on Architecture of Computing Systems (ARCS)
Event Location
Braunschweig, Germany
Event Date
09.-12.04.2018
Division(s)
Eprints ID
255077
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