Determinant Factors of Teaching Performance in COVID-19 Context

Bachir El Murr, Genane Youness () and Rola Assaf
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Bachir El Murr: LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth], CREG - Centre de recherche en économie de Grenoble - UGA - Université Grenoble Alpes
Genane Youness: LINEACT - Laboratoire d'Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires - CESI - CESI : groupe d’Enseignement Supérieur et de Formation Professionnelle - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université, CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage - CEDRIC - Centre d'études et de recherche en informatique et communications - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - CNAM - Conservatoire National des Arts et Métiers [CNAM]
Rola Assaf: LIU - Lebanese International University

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Abstract: COVID-19 pandemic still impact higher education system, stakeholders and environment all around the world. Students, teachers, academic institutions and education decision makers were shocked by an atypical new context they promptly put in face, asking drastic change in behavior and procedures at individual, familial and institutional levels. Full lockdown and closing campuses enforced students and teachers staying and sticking home, fronting unusual domestic for work atmosphere and unacquainted online learning and teaching technologies. Consequent back to classroom framework also imposes new sanitary and social distancing conditions leading to new teaching and learning habits that affected in many ways the performance of teaching. The aim of this paper is to apprehend all the challenges that may arise in similar critical situations to make convenient decisions helping to avoid the education system shutdown or to benefit from the previous experience to adapt future behaviors and perform tools and practices. For such purpose, the present paper reviews all the determinant factors of the teaching performance in both alternative online and classroom modes of dispensing courses in the COVID-19 Lebanese context, using Partial Least Squares Structural Equation Modeling approach (PLS-SEM). It appears that all manifest variables corresponding to latent variables have a reflective measurement model. After the convergence of the algorithm of Partial Lest Square (PLS), the structural path significance test of both inner and outer model is verified by a bootstrap procedure with 1000 subsamples.

Keywords: COVID-19 Impact Online and Classroom Teaching Performance Partial Least Squares -Structural Equation Modeling Bootstrap Goodness of Fit; COVID-19 Impact; Online and Classroom Teaching Performance; Partial Least Squares -Structural Equation Modeling; Bootstrap; Goodness of Fit (search for similar items in EconPapers)
Date: 2024-01-11
New Economics Papers: this item is included in nep-sea and nep-ure
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Published in Education Journal, 2024, 13 (1), 13 p. ⟨10.11648/j.edu.20241301.11⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04395911

DOI: 10.11648/j.edu.20241301.11

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