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Journal of Research on Technology in Education Volume 54, 2022 - Issue sup1: Student engagement during the COVID-19 pandemic
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Articles

Leveraging mathematics software data to understand student learning and motivation during the COVID-19 pandemic

Teomara Rutherforda School of Education, University of Delaware, Newark, Delaware, USA;b STEM Education/Science, College of Education, Health, and Human Sciences, University of Tennessee, Knoxville, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7978-2532View further author information
ORCID Icon,
Kerry Ducka School of Education, University of Delaware, Newark, Delaware, USAORCID Iconhttps://orcid.org/0000-0002-3602-5205View further author information
ORCID Icon,
Joshua M. Rosenberga School of Education, University of Delaware, Newark, Delaware, USAView further author information
&
Raymond Patta School of Education, University of Delaware, Newark, Delaware, USAView further author information
Pages S94-S131 | Received 18 Sep 2020, Accepted 19 Apr 2021, Published online: 16 Jun 2021

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Rasmitadila Rasmitadila, Reza Rachmadtullah, Achmad Samsudin, Muhammad Nurtanto & Muhammad Nurrohman Jauhari. (2023) Limited face-to-face learning on students in inclusive classrooms during the Covid-19 pandemic: Perceptions of elementary school teachers in Indonesia. Cogent Education 10:1.
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Carlton J. Fong. (2022) Academic motivation in a pandemic context: a conceptual review of prominent theories and an integrative model. Educational Psychology 42:10, pages 1204-1222.
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Florence Martin, Kui Xie & Doris U. Bolliger. (2022) Engaging learners in the emergency transition to online learning during the COVID-19 pandemic. Journal of Research on Technology in Education 54:sup1, pages S1-S13.
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Articles from other publishers (4)

Jenny Yun‐Chen Chan, Chloe Byrne, Janette Jerusal, Allison S. Liu, Justin Roberts & Erin Ottmar. (2023) Keep DRAGging ON : Is solving more problems in DragonBox 12 + associated with higher mathematical performance during the COVID ‐19 pandemic? . British Journal of Educational Technology 54:4, pages 943-966.
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Yujie Duan. (2023) A Study of Prediction Accuracy of English Test Performance Using Data Mining and Analysis. Annals of Emerging Technologies in Computing 7:2, pages 1-8.
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Roberto Capone, Maria Giuseppina Adesso & Oriana Fiore. (2022) Distance Lesson Study in Mathematics: A Case Study of an Italian High School. Frontiers in Education 7.
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Lidon Moliner & Francisco Alegre. (2022) COVID-19 Restrictions and Its Influence on Students’ Mathematics Achievement in Spain. Education Sciences 12:2, pages 105.
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