loading
Documents

Research.Publish.Connect.

Paper

Authors: Arham Muslim ; Mohamed Amine Chatti ; Memoona Mughal and Ulrik Schroeder

Affiliation: RWTH Aachen University, Germany

ISBN: 978-989-758-239-4

Keyword(s): Learning Analytics, Open Learning Analytics, Personalized Learning Analytics, OpenLAP.

Related Ontology Subjects/Areas/Topics: Computer-Supported Education ; Information Technologies Supporting Learning ; Learning Analytics

Abstract: Open learning analytics (OLA) is a relatively new branch of learning analytics (LA) which emerged due to the growing demand for self-organized, networked, and lifelong learning opportunities. OLA deals with learning data collected from various learning environments and contexts, analyzed with a range of analytics methods, and for different stakeholders with diverse interests and objectives. This diversity in different dimensions of OLA is a challenge which needs to be addressed by adopting a personalized learning analytics (PLA) model. Current implementations of LA mainly rely on a predefined set of questions and indicators which is not suitable in the context of OLA where the indicators are unpredictable. In this paper we present the goal - question - indicator (GQI) approach for PLA and provide the conceptual, design, implementation and evaluation details of the indicator engine component of the open learning analytics platform (OpenLAP) that engages end users in the indicator gener ation process by supporting them in setting goals, posing questions, and self-defining indicators. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.80.177.176

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Muslim A., Chatti M., Mughal M. and Schroeder U. (2017). The Goal - Question - Indicator Approach for Personalized Learning Analytics.In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-239-4, pages 371-378. DOI: 10.5220/0006319803710378

@conference{csedu17,
author={Arham Muslim and Mohamed Amine Chatti and Memoona Mughal and Ulrik Schroeder},
title={The Goal - Question - Indicator Approach for Personalized Learning Analytics},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2017},
pages={371-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006319803710378},
isbn={978-989-758-239-4},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - The Goal - Question - Indicator Approach for Personalized Learning Analytics
SN - 978-989-758-239-4
AU - Muslim A.
AU - Chatti M.
AU - Mughal M.
AU - Schroeder U.
PY - 2017
SP - 371
EP - 378
DO - 10.5220/0006319803710378

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.