Teachers’ Resilience Scale for Sustainability Enabled by ICT/Metaverse Learning Technologies: Factorial Structure, Reliability, and Validation

Author:

Makrakis Vassilios12ORCID

Affiliation:

1. School of Education and Social Sciences, Frederick University, Nicosia 1036, Cyprus

2. Department of Primary Education, University of Crete, Gallos University Campus, 74100 Rethymnon, Greece

Abstract

A significant trend in education is the increasing recognition of the need to shift from transmissive teaching to incorporating reflexive practices associated with real-life issues in learning, curriculum, and teaching. Merging Information and Communication Technologies (ICTs) and Metaverse learning technologies in Education for Sustainability (ICT/MeEfS) is critical in responding to current sustainability crises such as climate change. This research article focuses on the factorial structure, reliability, and validity of a teachers’ ICT/MeEfS resilience scale. It examines the predictive value of teacher self-efficacy and transformative teaching beliefs in merging ICTs and education for sustainability. The respondents were 1815 in-service teachers in Indonesia, Malaysia, and Vietnam. The principal component analysis showed a two-factor model (factor 1: “personal ICT/MeEfS resilience” and factor 2: “reflexive practice”), with a significant amount of extracted variance (68.26%). The overall Cronbach’s alpha reliability analysis of the teachers’ resilience scale enabled by ICT/MeEfS was 0.90, indicating a high score and excellent internal consistency. Similarly, the stepwise multiple regression analysis revealed that the two hypothesized predictors, teacher self-efficacy and transformative teaching beliefs, significantly contributed to teachers’ ICT/MeEfS resilience, explaining 73% of its variability. The implications of the research results are discussed in terms of research and in developing the capacity of teachers to embed sustainability issues and SDGs in teaching practices, learning environments, and course curricula enabled by ICTs and Metaverse learning technologies.

Funder

European Commission Erasmus+ CBHE Strand 2 project

Publisher

MDPI AG

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