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Abstract
The outbreak of the COVID-19 pandemic has had a wide range of negative consequences for higher education students. We explored the generalizability of the control-value theory of achievement emotions for e-learning, focusing on their antecedents. We involved 17019 higher education students from 13 countries, who completed an online survey during the first wave of the pandemic. A structural equation model revealed that proximal antecedents (e-learning self-efficacy, computer self-efficacy) mediated the relation between environmental antecedents (cognitive and motivational quality of the task) and positive and negative achievement emotions, with some exceptions. The model was invariant across country, area of study, and gender. The rates of achievement emotions varied according to these same factors. Beyond their theoretical relevance, these findings could be the basis for policy recommendations to support stakeholders in coping with the challenges of e-learning and the current and future sequelae of the pandemic.
https://doi.org/10.1016/j.learninstruc.2022.101629
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Published by Juantífico
Full-time professor and researcher at the Universidad Autónoma de Chihuahua (UACH) in Mexico and member of the National Researchers System. PhD in Information and Communication Science (Tallinn University, Estonia), Master in Digital Library Learning (Oslo University College, Norway; Tallinn University; and Parma University, Italy), and Bachelor in Library Science (Universidad Central de Venezuela). He has more than 18 years of work experience in archives, libraries, higher education, and professional development. He has excelled in different roles: cataloguer, database developer, reference librarian, instructor, collection developer, designer of library promotion materials and multimedia resources, coordinator of information literacy programs in higher education institutions, scientific production analyst, consultant, and peer reviewer for scientific journals. His lines of research include: informational literacy, action research, evaluation of scientific production and bibliometrics, open access, information architecture, and digital libraries. He has published over 50 peer-reviewed and indexed articles, five books, 15 book chapters, has presented his papers in over 54 international conferences and has facilitated over 16 workshops for training researchers. Among his editorial experiences, Machin-Mastromatteo is the Associate Editor for the scientific journals Information Development (SAGE) and Digital Library Perspectives (Emerald), as well as an editorial board member for The Journal of Academic Librarianship (Elsevier). He published, from 2015 to 2020, the regular column Developing Latin America in Information Development. He is a peer reviewer for 17 scientific and indexed journals within the fields of information science and education, for which he has evaluated over 200 manuscripts. Follow me at @judamasmas | www.youtube.com/juantifico | www.facebook.com/machinmastromatteo | www.instagram.com/juantifico | http://judamasmas.com | www.patreon.com/juantifico | https://orcid.org/0000-0003-4884-0474
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