Skip to content
Review Open access

Teachers' Readiness, Perceptions, and Use of Generative Artificial Intelligence in Educational Practice

Aug 2026 · Journal of Social Work and Science Education · Vol 7, pp. 2023-2038 · 0 citations

TL;DR

Examination of teachers’ readiness, usage patterns, perceived benefits, barriers, and professional development needs related to integrating Generative Artificial Intelligence into educational practice in Bengkulu provides empirical evidence on teachers actual pedagogical workflows in a developing‑country context.

Abstract

This study examines teachers’ readiness, usage patterns, perceived benefits, barriers, and professional development needs related to integrating Generative Artificial Intelligence (Gen AI) into educational practice. A quantitative descriptive exploratory survey design was employed. Data were collected via online questionnaires from 80 teachers across multiple educational levels (early childhood to vocational secondary) in Bengkulu. Descriptive statistics and thematic analysis were used to analyse the data. Teachers reported high functional readiness and positive perceptions of Gen AI, particularly for lesson planning and content development, while its application for learning analytics and reflective pedagogical inquiry remained limited. The most significant barriers were lack of training and unclear school policies, whereas teachers did not view Gen AI as a threat to their professional role. Key professional development needs included practical training, ethical guidance, curriculum integration, and peer communities. The study provides empirical evidence on teachers actual pedagogical workflows in a developing‑country context, distinguishing functional readiness from conceptual literacy. Findings offer a clear agenda for policy development and teacher professional learning programmes. The research advances understanding of Gen AI integration in resource‑constrained settings and provides an evidence base for pedagogically grounded, ethically responsible AI adoption in education.

Read PDF

Similar papers

Review Open access Jul 2026

TEACHERS' PERCEPTIONS OF ARTIFICIAL INTELLIGENCE TOOLS IN ENGLISH LANGUAGE TEACHING: OPPORTUNITIES, CONCERNS, AND PEDAGOGICAL READINESS

Artificial intelligence tools are increasingly influencing English language teaching by supporting lesson planning, materials development, automated feedback, assessment preparation, translation, pronunciation practice, and personalized learning. However, teachers' perceptions remain central because the pedagogical val...

Daniel Zulhendra, Muhammad Faisal · 0 citations
Review Open access Aug 2026

Teacher Readiness for Artificial Intelligence Use in School Classrooms: A Critical Theoretical Review and SWOT Analysis of International and Indian Research

It is concluded that teacher readiness should be conceptualised as a multidimensional construct involving cognitive, technological, pedagogical, ethical, affective, institutional, and visionary dimensions.

Anjali Dubey, Vaibhav Chauhan, Sarah Basu · 0 citations
Review Open access Aug 2026

Teachers' Awareness and Utilization of Artificial Intelligence Tools in Education: An Empirical Study

The research concludes that by systematically training teachers and providing ongoing professional development, their awareness of AI can be significantly increased, leading to more effective use of AI in educational settings.

Sara Shaikh, Imandar University, Mirza Humaira Batul et al. · 1 citation · ⚡1
Open access Aug 2026

Integration of AI into Education: Teachers' Perspectives on Competencies, Challenges, and Needs

Insight is provided into how teachers use AI technologies, their perceptions of required competencies, the challenges and concerns they perceive, and the challenges and concerns they perceive that successful AI integration requires specific teacher competencies.

Feray Uğur Erdoğmuş · 0 citations
Open access Aug 2026

Teacher Readiness for Artificial Intelligence Integration in Higher Education

A school-focused model of teacher readiness is developed and tests whether a clear 28-item questionnaire and a simple analysis plan work together and whether subject-based AI training, approved tools, clear policy, teaching support, and practical safeguards are combined.

Jyotika Teckchandani · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.