Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic

Ezekiel Adriel Lagmay; Ma Mercedes T. Rodrigo

doi:10.1007/978-3-030-78270-2_41

Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic

Ezekiel Adriel Lagmay, Ma Mercedes T. Rodrigo

Department of Information Systems and Computer Science

Ateneo de Manila University

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

Original language	English
Title of host publication	Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings
Editors	Ido Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	229-233
Number of pages	5
ISBN (Print)	9783030782696
DOIs	https://doi.org/10.1007/978-3-030-78270-2_41
State	Published - 2021
Event	22nd International Conference on Artificial Intelligence in Education, AIED 2021 - Virtual, Online Duration: Jun 14 2021 → Jun 18 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12749 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Artificial Intelligence in Education, AIED 2021
City	Virtual, Online
Period	6/14/21 → 6/18/21

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

COVID-19
CausalImpact
Learning management system
Philippines
Typhoon

Access to Document

10.1007/978-3-030-78270-2_41

Cite this

Lagmay, E. A., & Rodrigo, M. M. T. (2021). Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic. In I. Roll, D. McNamara, S. Sosnovsky, R. Luckin, & V. Dimitrova (Eds.), Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings (pp. 229-233). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12749 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-78270-2_41

Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic. / Lagmay, Ezekiel Adriel; Rodrigo, Ma Mercedes T.
Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. ed. / Ido Roll; Danielle McNamara; Sergey Sosnovsky; Rose Luckin; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2021. p. 229-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12749 LNAI).

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

Lagmay, EA & Rodrigo, MMT 2021, Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic. in I Roll, D McNamara, S Sosnovsky, R Luckin & V Dimitrova (eds), Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12749 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 229-233, 22nd International Conference on Artificial Intelligence in Education, AIED 2021, Virtual, Online, 6/14/21. https://doi.org/10.1007/978-3-030-78270-2_41

Lagmay EA, Rodrigo MMT. Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic. In Roll I, McNamara D, Sosnovsky S, Luckin R, Dimitrova V, editors, Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 229-233. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-78270-2_41

Lagmay, Ezekiel Adriel ; Rodrigo, Ma Mercedes T. / Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic. Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. editor / Ido Roll ; Danielle McNamara ; Sergey Sosnovsky ; Rose Luckin ; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2021. pp. 229-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic

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ASJC Scopus Subject Areas

Keywords

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