Skip to content
#generative ai Review Open access

Defining and Examining Self-Reported GenAI Literacy and Pedagogical Judgment in Language Teacher Education: A Course-Integrated Professional Development Intervention

Sep 2026 · Digital Studies in Language and Literature · 0 citations · 67 references

TL;DR

It is argued that GenAI literacy in TESOL is better conceptualized as language-mediated professional judgment, encompassing evaluation, mediation, constraint-setting, and principled refusal, than as adoption readiness.

Abstract

Abstract This mixed-methods study examines short-term changes in self-reported generative artificial intelligence (GenAI) literacy and articulated pedagogical judgment among in-service and transitioning language teachers enrolled in a graduate TESOL course at a Canadian university. A course-integrated intervention of three sequenced workshops addressed GenAI use in language education, algorithmic bias and assessment, and equity, accessibility, and digital literacies. The study did not test learner outcomes; it examined short-term shifts in teachers’ self-reported GenAI literacy and articulated pedagogical judgment. Quantitative data came from selected sections of an existing teacher artificial intelligence (AI) literacy scale covering ethical understanding, classroom integration, tool evaluation, and assessment-oriented application. Fifteen participants completed matched pre- and post-intervention surveys, which were analyzed using Wilcoxon signed-rank tests and descriptive effect sizes. Qualitative data consisted of structured reflections completed after each workshop and analyzed through reflexive thematic analysis. Reflection data, which carry the main interpretive weight, suggested movement from general awareness of GenAI risks towards more conditional reasoning about prompting, AI-generated language, assessment evidence, learner agency, linguistic normativity, access, and privacy. Survey results were consistent with this pattern, showing directional increases across all four self-reported literacy domains, with the strongest mean gains in ethics, tool evaluation, and assessment-oriented application. The quantitative results are descriptive and not the principal basis for the study’s claims. Findings are bounded to a small, single-site teacher education context. I argue that GenAI literacy in TESOL is better conceptualized as language-mediated professional judgment, encompassing evaluation, mediation, constraint-setting, and principled refusal, than as adoption readiness.

Read PDF

Similar papers

Review Open access Sep 2026

Preservice Early Childhood Teachers’ AI Literacy and Self-Efficacy in a Structured “Vibe Coding” Design Task: An Exploratory Pre–Post Study

This exploratory study examined a structured Vibe Coding task in preservice early childhood teacher education and its association with self-reported AI literacy, self-efficacy, attitudes toward AI, and technology acceptance. Vibe Coding was used in a qualified sense: participants created educational applications throug...

Stamatios Papadakis, G. Zacharis · 0 citations
Open access Sep 2026

Fostering AI Literacy in Teacher Education: A Case Study of Pre-Service and In-Service Teachers’ Perceptions

It is suggested that structured technical and pedagogical AI literacy may support a shift from generalized concerns or uncertainty toward more informed and reflective engagement with AI, providing a useful foundation for the integration of AI literacy into teacher education frameworks.

Sergio Miranda, Rosa Vegliante, Antonio Marzano · 0 citations
Open access Sep 2026

Pre-service English teachers' Artificial Intelligence literacy and its learning solution—A mixed-methods research

In the context of generative-AI-driven educational transformation, pre-service EFL teachers' GenAI literacy is vital for future professional competency. This convergent parallel mixed-methods study administered a 34-item GenAI Literacy Questionnaire and conducted semi-structured interviews with 88 pre-service EFL teach...

Qi-Heng Li, Lei Ju · 0 citations
Open access Sep 2026

Digital Pathways to Literacy: E-Reading Interventions for Junior High School Learners

This study developed and evaluated Digital Pathways to Literacy: E-Reading Interventions for Junior High School Learners, a voice-assisted mobile application designed to support struggling readers through interactive reading activities, text-to-speech, speech recognition, real-time feedback, assessment, and progress tr...

Edilyn S. Calamba, April Rose Ballos Flores · 0 citations
Open access Sep 2026

The Assessment–Feedback Literacy Nexus: A Longitudinal Mixed-Methods Study of Responsible Assessment Practice in Preservice Teacher Education

Assessment literacy and feedback literacy are often treated as separate competencies in teacher education, although both underpin responsible assessment practice. This two-wave, multi-cohort mixed-methods secondary analysis examined their parallel development among 250 preservice teachers at a private university in the...

R. Quileste · 0 citations
Review Open access Aug 2026

Instructor-Designed AI Tutors in University Foreign Language Education: A Mixed-Methods Study of Learner Motivation and Reflective Learning Experience Based on Self-Determination Theory

The findings suggest that the educational effectiveness of generative AI in foreign language education is not determined by frequency of use alone but also by the quality of pedagogical design underlying its deployment.

Hyunjin Lee, Heeju Kwon · 0 citations

Related blog posts

MIT News · Artificial Intelligence Oct 30, 2026

Q&A: Hey AI, who should I vote for this year?

MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

GPT-Lab Oct 30, 2026

Black October? The Week AI Changed the Cybersecurity Conversation

Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.

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