Integrating structured questioning and AI-mediated inquiry in SLA: a pedagogical innovation in EFL teacher education

Abstract

This innovation-in-practice article presents a novel pedagogical intervention in an English as a foreign language (EFL) teacher education course on second language acquisition (SLA). Given the abstract and interdisciplinary nature of SLA, many preservice teachers struggle with engagement and conceptual understanding. To address these challenges, this pedagogical intervention implemented a structured questioning strategy through the Question Formulation Technique (QFT), enabling students to generate and refine inquiry-driven questions, followed by artificial intelligence (AI)-mediated exploration to investigate SLA theories in greater depth. The primary objectives of this intervention were to enhance student engagement and foster intellectual curiosity by encouraging questioning and exploration of SLA theories and concepts through generative artificial intelligence (Gen-AI). The intervention consisted of three interrelated steps: (a) delivering lectures on key SLA concepts and theories; (b) generating questions using the QFT method; and (c) conducting AI-mediated inquiry. The combination of QFT and Gen-AI-supported inquiry provided students with opportunities to engage more deeply with SLA concepts while honing their questioning and analytical skills. However, some challenges emerged, including students’ varying levels of proficiency in using AI tools and difficulties in critically assessing AI-generated information. To address these issues, future implementations of this pedagogical approach should incorporate explicit AI literacy training and a structured peer-review mechanism. Beyond its immediate instructional benefits, this intervention also opens avenues for further research, such as the integration of AI to foster active learning and critical engagement in EFL teacher education, as well as the role of QFT in creating spaces for dialogic pedagogy in teacher preparation.

Keywords

Second language acquisition question formulation technique generative artificial intelligence inquiry-based learning English as a foreign language teacher education

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References

Coffman

(2007) Engaging Students Through Inquiry-Oriented Learning and Technology. Lanham: Rowman & Littlefield Education.

Costa

Callick

(2015) Five strategies for questioning with intention. Educational Leadership 73(1): 66−69.

Gallagher

Frith

(2003) Functional imaging of “theory of mind”. Trends in Cognitive Sciences 7(2): 77–83.

Golibersuch

(2002) Integrating questions and celebrations. TESOL Journal 11(1): 32–33.

Greenwood

Austin

Bacon

, et al. (2020) Enquiry-based learning in the primary classroom: student teachers’ perceptions. Education 3-13 50(3): 404–418.

Kuhlthau

Maniotes

Caspari

(2015) Guided Inquiry: Learning in the 21st Century. London: Libraries Unlimited.

Kuswandono

(2014) Voices of pre-service English teachers: reflecting motivations during practicum learning. TEFLIN Journal - A Publication on the Teaching and Learning of English 25(2): 185.

Lightbown

Spada

(2021) How Languages Are Learned. Oxford: Oxford University Press.

Littleton

Mercer

(2013) Interthinking: Putting Talk to Work. London: Routledge.

10.

Moorhouse

Kohnke

(2024) The effects of generative AI on initial language teacher education: the perceptions of teacher educators. System 122: 103290.

11.

Pike

Austin

Greenwood

, et al. (2023) Inquiry in teacher education: experiences of lecturers and student teachers. Irish Educational Studies 43(4): 1061–1078.

12.

Ritchhart

(2015) Creating Cultures of Thinking: The 8 Forces We Must Master to Truly Transform Our Schools. Los Angeles: Jossey-Bass.

13.

Rothstein

Santana

(2011) Make Just One Change: Teach Students to Ask Their Own Questions. Cambridge: Harvard Education Press.

14.

Salmon

Barrera

(2021) Intentional questioning to promote thinking and learning. Thinking Skills and Creativity 40(1): 100822.

15.

Sperling

Stenberg

McGrath

, et al. (2024) In search of artificial intelligence (AI) literacy in teacher education: a scoping review. Computers and Education Open 6(1): 100169.

16.

Suryani

Watt

Richardson

(2016) Students’ motivations to become teachers: FIT-choice findings from Indonesia. International Journal of Quantitative Research in Education 3(3): 179.

17.

Syaripudin

(2025) Engaging EFL preservice teachers in learning about curriculum using a structured questioning strategy. TESOL Journal 16(1). DOI: 10.1002/tesj.897.