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...
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Kassel University Press
2021
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oai:doaj.org-article:a2ba6c08929f4a46a9b918fdc460aae02021-12-02T18:42:58ZObject-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments1863-038310.3991/ijet.v16i21.25033https://doaj.org/article/a2ba6c08929f4a46a9b918fdc460aae02021-11-01T00:00:00Zhttps://online-journals.org/index.php/i-jet/article/view/25033https://doaj.org/toc/1863-0383This 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.Bernabé BatchakuiThomas DjotioIbrahim MoukouopAlex NdounaKassel University Pressarticleindicators calculation, cehl, learning traces, trace model, trace-based system , reuse of indicators.EducationLInformation technologyT58.5-58.64ENInternational Journal of Emerging Technologies in Learning (iJET), Vol 16, Iss 21, Pp 26-41 (2021) |
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DOAJ |
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indicators calculation, cehl, learning traces, trace model, trace-based system , reuse of indicators. Education L Information technology T58.5-58.64 |
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indicators calculation, cehl, learning traces, trace model, trace-based system , reuse of indicators. Education L Information technology T58.5-58.64 Bernabé Batchakui Thomas Djotio Ibrahim Moukouop Alex Ndouna Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments |
description |
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. |
format |
article |
author |
Bernabé Batchakui Thomas Djotio Ibrahim Moukouop Alex Ndouna |
author_facet |
Bernabé Batchakui Thomas Djotio Ibrahim Moukouop Alex Ndouna |
author_sort |
Bernabé Batchakui |
title |
Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments |
title_short |
Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments |
title_full |
Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments |
title_fullStr |
Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments |
title_full_unstemmed |
Object-Based Trace Model for Automatic Indicator Computation in the Human Learning Environments |
title_sort |
object-based trace model for automatic indicator computation in the human learning environments |
publisher |
Kassel University Press |
publishDate |
2021 |
url |
https://doaj.org/article/a2ba6c08929f4a46a9b918fdc460aae0 |
work_keys_str_mv |
AT bernabebatchakui objectbasedtracemodelforautomaticindicatorcomputationinthehumanlearningenvironments AT thomasdjotio objectbasedtracemodelforautomaticindicatorcomputationinthehumanlearningenvironments AT ibrahimmoukouop objectbasedtracemodelforautomaticindicatorcomputationinthehumanlearningenvironments AT alexndouna objectbasedtracemodelforautomaticindicatorcomputationinthehumanlearningenvironments |
_version_ |
1718377754633699328 |