Authors:
Dabbebi Ines
1
;
Gilliot Jean-Marie
2
and
Iksal Sebastien
3
Affiliations:
1
UBL, Le Mans University, LIUM Laboratory, Laval-LeMans, France, UBL, IMT Atlantique, Lab-STICC Laboratory, Brest and France
;
2
UBL, IMT Atlantique, Lab-STICC Laboratory, Brest and France
;
3
UBL, Le Mans University, LIUM Laboratory, Laval-LeMans and France
Keyword(s):
Learning Analytics, Dashboard, Generation Process, Decision Making, Business Intelligence.
Related
Ontology
Subjects/Areas/Topics:
Classroom Management
;
Computer-Supported Education
;
Information Technologies Supporting Learning
;
Learning Analytics
;
Learning/Teaching Methodologies and Assessment
Abstract:
The use of learning dashboards with analytics might help users to gain insight into their learning process and then to make decision. However, designing meaningful Learning Analytics dashboard (LAD) is still a complex process that requires an explicit understanding of the user needs. For this reason, we carried out a user-centered design (UCD) approach with the aim to provide users with adapted LADs to support their decision-making. Hence, we develop a UCD process composed of 4 steps: (i) we propose a participatory-based design tool for capturing contextualized needs (ii) these identified needs will be described using an independent formalism and LAD models in order to capitalize on them (iii) to automate these models, we propose a LAD generation process (iv) finally, we carried out an evaluation phase with the aim to review and refine our models. During our process development, an iterative user needs refinement confirmed that decision is considered as a centered element for LAD gen
erations.
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