Method for the recommendation of the asynchronous teaching task in the subject Curricular Integration Unit

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Ned Vito Quevedo Arnaiz
Nemis García Arias
Hayk Paronyan
Cristian Fernando Benavides Salazar

Abstract

The training of professionals with efficient levels of qualification is a perennial concern of education. The subject Curricular Integration Unit reflects the autonomous modes of action formed in students to solve real problems of society. However, for the first time students finish the degree quickly in a single semester to elaborate and execute the research and not all procedures provide positive changes in them. The degree of compliance with a quality indicator in the training of legal professionals is expressed through a direct relationship of neutrality performance representing a domain of neutrosophic values ​​to model uncertainty. The implementation of Soft Computing techniques has been used to represent uncertainty in decision-making processes of this nature. This research proposes the development of a method for the recommendation of the asynchronous teaching task in the Curricular Integration Unit subject. The recommendations allowed determining the instrumental steps to consolidate the use of technology in professional training in the training process of legal professionals at the Universidad Regional Autónoma de los Andes (UNIANDES) with asynchronous activities that contribute to the learning outcome.

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How to Cite
Method for the recommendation of the asynchronous teaching task in the subject Curricular Integration Unit. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 34, 113-124. https://fs.unm.edu/NCML2/index.php/112/article/view/589
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How to Cite

Method for the recommendation of the asynchronous teaching task in the subject Curricular Integration Unit. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 34, 113-124. https://fs.unm.edu/NCML2/index.php/112/article/view/589

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