# Investigating the relationship between teacher efficacy, job satisfaction, and digital resource utilization in assessment practices: Insights from PISA 2018 and 2022

**Authors:** Dirgha Raj Joshi, Jeevan Khanal, Bishnu Maya Joshi, Chhabi Lal Ranabhat, Chhabi Lal Ranabhat, Chhabi Lal Ranabhat

PMC · DOI: 10.1371/journal.pone.0339475 · PLOS One · 2026-01-20

## TL;DR

This study explores how teacher confidence, job satisfaction, and digital tool use affect assessment practices before and after the pandemic, using data from 24 countries.

## Contribution

The study reveals how economic contexts influence teacher efficacy and digital adoption, offering insights for equitable post-pandemic education policies.

## Key findings

- Job satisfaction significantly affects teacher efficacy but has minimal direct impact on technology use.
- Teacher efficacy positively influences both technology adoption and assessment practices.
- Digital tool integration is a key determinant of assessment practices, with economic contexts shaping these relationships.

## Abstract

The COVID-19 pandemic disrupted global education systems, forcing rapid shifts in teaching practices, technology integration, and assessment methods. However, little is known about how teacher efficacy, job satisfaction, and digital adoption vary across economic contexts. Insufficient research examines how income levels influence these factors, hindering equitable support for educators in post-pandemic recovery. This study examines variations in teacher efficacy (TE), job satisfaction (JS), assessment practices (AP), and technology adoption (UIT/UDT) across low-, upper-middle-, and high-income countries (LMICs, UMICs, HICs) before and after the COVID-19 pandemic. Guided by Bandura’s Social Cognitive Theory, the analysis explores how these factors interact and shift in response to pandemic-related disruptions in educational systems. The study utilizes PISA 2018 (pre-pandemic) and 2022 (post-pandemic) data from 128,866 teachers across 24 countries, employing structural equation modeling and machine learning as primary analytical techniques. Results indicate that job satisfaction significantly affects teacher efficacy but has minimal direct impact on the use of instructional technology tools. Teacher efficacy demonstrates a significant positive effect on both technology adoption (UIT) and assessment practices, while the use of digital learning and communication tools similarly influences assessment practices. These findings suggest that teacher efficacy and digital tool integration are key determinants of assessment practices. The study highlights how economic contexts shape teacher development, proposing targeted approaches for equitable post-pandemic education. HICs benefit from institutional support reinforcing the JS-TE relationship, while LMICs require solutions addressing resource gaps that impede consistent technology implementation. These evidence-based findings support context-specific policy interventions to enhance teacher support and digital integration globally.

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382)

## Full text

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## Figures

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## References

82 references — full list in the complete paper: https://tomesphere.com/paper/PMC12818741/full.md

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Source: https://tomesphere.com/paper/PMC12818741