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Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments

  • This paper proposes a traces model in the form of an object or class model (in the UML sense) which allows the automatic calculation of indicators of various kinds and independently of the computer environment for human learning (CEHL). The model is based on the establishment of a trace-based system that encompasses all the logic of traces collecting and indicators calculation. It is im-plemented in the form of a trace database. It is an important contribution in the field of the exploitation of the traces of apprenticeship in a CEHL because it pro-vides a general formalism for modeling the traces and allowing the calculation of several indicators at the same time. Also, with the inclusion of calculated indica-tors as potential learning traces, our model provides a formalism for classifying the various indicators in the form of inheritance relationships, which promotes the reuse of indicators already calculated. Economically, the model can allow organi-zations with different learning platforms to invest only in one traces Management System. At the social level, it can allow a better sharing of trace databases be-tween the various research institutions in the field of CEHL.

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Metadaten
Document Type:Article
Language:English
Author:Bernabé Batchakui, Thomas Djotio, Ibrahim Moukouop, Alex Ndouna
Parent Title (English):iJET (International Journal of Emerging Technologies in Learning)
Volume:16
Issue:21
First Page:26
Last Page:41
ISSN:1863-0383
URN:urn:nbn:de:hbz:1044-opus-60332
DOI:https://doi.org/10.3991/ijet.v16i21.25033
Publisher:International Association of Online Engineering
Place of publication:Wien
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2021/11/15
Copyright:Copyright © is retained by the authors of this paper. Licensed to the public under Creative Commons Attribution 4.0 International.
Keyword:CEHL; indicators calculation; learning traces; reuse of indicators; trace model; trace-based system
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):3 Sozialwissenschaften / 37 Bildung und Erziehung / 378 Hochschulbildung
Entry in this database:2021/12/13
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International