Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments

Benjamin Maraza Quispe; Jhon Edwar Ninasivincha Apfata; Ricardo Carlos Qusipe Figueroa; Manuel Alejandro Valderrama Solis

doi:10.1145/3498765.3498777

Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments

Benjamin Maraza Quispe, Jhon Edwar Ninasivincha Apfata, Ricardo Carlos Qusipe Figueroa, Manuel Alejandro Valderrama Solis

Departamento Académico de Educación

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The objective of the research is to develop a methodology to analyze a set of data extracted from a Learning Management System (LMS), in order to implement a Dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of the analysis of 9,257 records extracted through simple random sampling from a population of 100,000 records. The indicators analyzed were: number of accesses, course grades, time spent, number of courses enrolled and number of activities developed. The results show the data analysis in the KNIME data mining analysis platform, the model was implemented in five phases: Requirements definition, model design, development, implementation and evaluation of results. The results are taken as a recommendation to design and implement a customized Dashboard for teachers to identify observable behavioral patterns that allow them to make decisions to improve the teaching-learning processes of students.

Original language	English
Title of host publication	Proceedings of 2021 13th International Conference on Education Technology and Computers, ICETC 2021
Publisher	Association for Computing Machinery
Pages	77-84
Number of pages	8
ISBN (Electronic)	9781450385114
DOIs	https://doi.org/10.1145/3498765.3498777
State	Published - 22 Oct 2021
Event	13th International Conference on Education Technology and Computers, ICETC 2021 - Virtual, Online, China Duration: 22 Oct 2021 → 25 Oct 2021

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	13th International Conference on Education Technology and Computers, ICETC 2021
Country/Territory	China
City	Virtual, Online
Period	22/10/21 → 25/10/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

Dashboard
EVE
learning
LMS
personalized
teaching

Access to Document

10.1145/3498765.3498777

Cite this

Quispe, B. M., Apfata, J. E. N., Figueroa, R. C. Q., & Solis, M. A. V. (2021). Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments. In Proceedings of 2021 13th International Conference on Education Technology and Computers, ICETC 2021 (pp. 77-84). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3498765.3498777

Quispe, Benjamin Maraza ; Apfata, Jhon Edwar Ninasivincha ; Figueroa, Ricardo Carlos Qusipe et al. / Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments. Proceedings of 2021 13th International Conference on Education Technology and Computers, ICETC 2021. Association for Computing Machinery, 2021. pp. 77-84 (ACM International Conference Proceeding Series).

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Quispe, BM, Apfata, JEN, Figueroa, RCQ & Solis, MAV 2021, Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments. in Proceedings of 2021 13th International Conference on Education Technology and Computers, ICETC 2021. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 77-84, 13th International Conference on Education Technology and Computers, ICETC 2021, Virtual, Online, China, 22/10/21. https://doi.org/10.1145/3498765.3498777

Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments. / Quispe, Benjamin Maraza; Apfata, Jhon Edwar Ninasivincha; Figueroa, Ricardo Carlos Qusipe et al.

Proceedings of 2021 13th International Conference on Education Technology and Computers, ICETC 2021. Association for Computing Machinery, 2021. p. 77-84 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Solis, Manuel Alejandro Valderrama

PY - 2021/10/22

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AB - The objective of the research is to develop a methodology to analyze a set of data extracted from a Learning Management System (LMS), in order to implement a Dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of the analysis of 9,257 records extracted through simple random sampling from a population of 100,000 records. The indicators analyzed were: number of accesses, course grades, time spent, number of courses enrolled and number of activities developed. The results show the data analysis in the KNIME data mining analysis platform, the model was implemented in five phases: Requirements definition, model design, development, implementation and evaluation of results. The results are taken as a recommendation to design and implement a customized Dashboard for teachers to identify observable behavioral patterns that allow them to make decisions to improve the teaching-learning processes of students.

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Quispe BM, Apfata JEN, Figueroa RCQ, Solis MAV. Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments. In Proceedings of 2021 13th International Conference on Education Technology and Computers, ICETC 2021. Association for Computing Machinery. 2021. p. 77-84. (ACM International Conference Proceeding Series). doi: 10.1145/3498765.3498777

Design proposal of a personalized Dashboard to optimize teaching-learning in Virtual Learning Environments

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Publication series

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Bibliographical note

Keywords

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