Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District

Marcela Aza-Espinosa; Laura Guerra Torrealba; Erick Herrera-Granda; María Aza-Espinosa; Marco Burbano-Pulles; Javier Pozo-Burgos

doi:10.1007/978-3-031-25942-5_12

Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District

Marcela Aza-Espinosa, Laura Guerra Torrealba, Erick Herrera-Granda, María Aza-Espinosa, Marco Burbano-Pulles, Javier Pozo-Burgos

Pontificia Universidad Católica del Ecuador

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Idioma original	Inglés
Título de la publicación alojada	Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022
Editores	Miguel Botto-Tobar, Omar S. Gómez, Raul Rosero Miranda, Washington Luna-Encalada, Angela Díaz Cadena
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	139-154
Número de páginas	16
ISBN (versión impresa)	9783031259418
DOI	https://doi.org/10.1007/978-3-031-25942-5_12
Estado	Publicada - 2023
Evento	4th International Conference on Advances in Emerging Trends and Technologies, ICAETT 2022 - Riobamba, Ecuador Duración: 26 oct. 2022 → 28 oct. 2022

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	619 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	4th International Conference on Advances in Emerging Trends and Technologies, ICAETT 2022
País/Territorio	Ecuador
Ciudad	Riobamba
Período	26/10/22 → 28/10/22

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-031-25942-5_12

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Aza-Espinosa, M., Guerra Torrealba, L., Herrera-Granda, E., Aza-Espinosa, M., Burbano-Pulles, M., & Pozo-Burgos, J. (2023). Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District. En M. Botto-Tobar, O. S. Gómez, R. Rosero Miranda, W. Luna-Encalada, & A. Díaz Cadena (Eds.), Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022 (pp. 139-154). (Lecture Notes in Networks and Systems; Vol. 619 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-25942-5_12

Aza-Espinosa, Marcela ; Guerra Torrealba, Laura ; Herrera-Granda, Erick et al. / Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District. Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. editor / Miguel Botto-Tobar ; Omar S. Gómez ; Raul Rosero Miranda ; Washington Luna-Encalada ; Angela Díaz Cadena. Springer Science and Business Media Deutschland GmbH, 2023. pp. 139-154 (Lecture Notes in Networks and Systems).

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title = "Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulc{\'a}n District",

keywords = "Education COVID-19, Item response theory, Learning performance indicators, Validity",

author = "Marcela Aza-Espinosa and {Guerra Torrealba}, Laura and Erick Herrera-Granda and Mar{\'i}a Aza-Espinosa and Marco Burbano-Pulles and Javier Pozo-Burgos",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 4th International Conference on Advances in Emerging Trends and Technologies, ICAETT 2022 ; Conference date: 26-10-2022 Through 28-10-2022",

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Aza-Espinosa, M, Guerra Torrealba, L, Herrera-Granda, E, Aza-Espinosa, M, Burbano-Pulles, M & Pozo-Burgos, J 2023, Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District. En M Botto-Tobar, OS Gómez, R Rosero Miranda, W Luna-Encalada & A Díaz Cadena (eds.), Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. Lecture Notes in Networks and Systems, vol. 619 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 139-154, 4th International Conference on Advances in Emerging Trends and Technologies, ICAETT 2022, Riobamba, Ecuador, 26/10/22. https://doi.org/10.1007/978-3-031-25942-5_12

Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District. / Aza-Espinosa, Marcela; Guerra Torrealba, Laura; Herrera-Granda, Erick et al.
Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. ed. / Miguel Botto-Tobar; Omar S. Gómez; Raul Rosero Miranda; Washington Luna-Encalada; Angela Díaz Cadena. Springer Science and Business Media Deutschland GmbH, 2023. p. 139-154 (Lecture Notes in Networks and Systems; Vol. 619 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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T1 - Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District

AU - Aza-Espinosa, Marcela

AU - Guerra Torrealba, Laura

AU - Herrera-Granda, Erick

AU - Aza-Espinosa, María

AU - Burbano-Pulles, Marco

AU - Pozo-Burgos, Javier

PY - 2023

Y1 - 2023

KW - Education COVID-19

KW - Item response theory

KW - Learning performance indicators

KW - Validity

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U2 - 10.1007/978-3-031-25942-5_12

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SN - 9783031259418

T3 - Lecture Notes in Networks and Systems

SP - 139

EP - 154

BT - Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022

A2 - Botto-Tobar, Miguel

A2 - Gómez, Omar S.

A2 - Rosero Miranda, Raul

A2 - Luna-Encalada, Washington

A2 - Díaz Cadena, Angela

PB - Springer Science and Business Media Deutschland GmbH

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Aza-Espinosa M, Guerra Torrealba L, Herrera-Granda E, Aza-Espinosa M, Burbano-Pulles M, Pozo-Burgos J. Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District. En Botto-Tobar M, Gómez OS, Rosero Miranda R, Luna-Encalada W, Díaz Cadena A, editores, Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 139-154. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-25942-5_12