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  4. A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques
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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
;
Leimeister, Jan Marco  
;
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
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/101033
Subject(s)

other research area

education

business studies

Division(s)

IWI - Institute of In...

Eprints ID
255077
File(s)
Thumbnail Image
Name

JML_708.pdf

Size

186.55 KB

Format

Adobe PDF

Checksum (MD5)

a481f7f9b342ee541d4a33dde17ce7af

Support
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