Researcher · Educator · Theorist

Dr. Ngo Cong-Lem

An applied linguist and interdisciplinary researcher working across three connected areas: generative AI in education, human agency and emotion, and evidence synthesis for policy and practice. My research examines how people learn, exercise judgement, and respond to change, and how research evidence can inform educational and public decisions.

Lecturer · Dalat University, Vietnam Postdoctoral Fellow · Evidence for Policy & Practice, Monash University, Australia ★ World's Top 2% Scientists · Stanford–Elsevier, 2026
Generative AI Agency & Emotion Evidence Synthesis Applied Linguistics
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01 · About

Research profile

My research is grounded in education and applied linguistics and organised around three connected programmes: generative AI in education, agency, emotion, and educational change, and evidence synthesis for policy and practice.

The foundation of this work is a sustained engagement with Vygotsky's cultural-historical theory. Research on teacher agency, perezhivanie, and the relationship between emotion and cognition established an account of how educators interpret challenging experiences and act within the opportunities and constraints of their professional environments.

Building on that foundation, my current empirical work investigates the changes associated with generative AI: how learners use these tools when composing and reasoning, how critical thinking and accountability can be understood and assessed, and which educational conditions support equitable participation.

In parallel, I conduct systematic, scoping, and rapid reviews that appraise and integrate research for decision-makers in education, health services, and disability. This work also informs my conceptual writing on how evidence-informed policy should respond to AI-generated knowledge.

02 · Contributions

Contributions and recognition

My scholarship contributes in three ways: conceptual clarification of cultural-historical ideas and of critical thinking in AI-mediated learning, empirical studies of learners and educators in language and higher education, and evidence syntheses prepared for policy and practice.

Conceptual
Clarifying theory for current problems
Clarified core cultural-historical concepts, including perezhivanie, the emotion–cognition relationship, and activity theory, and developed frameworks for understanding critical thinking and equity in GenAI-supported learning.
Empirical
Studying learners and educators in practice
Studies of how EFL learners use generative AI in composing, prompting, and reasoning, how teacher-led interviews support accountability, and how language teachers negotiate agency and emotion in their work.
Applied
Synthesising evidence for decisions
Systematic, scoping, and rapid reviews prepared for decision-makers across education, health services, and disability, together with an evaluation of how commissioning organisations reported using rapid reviews.
2,000+
Google Scholar citations · 2026
h-index 23. Listed among the World's Top 2% Scientists (Stanford–Elsevier, single-year list, 2026).
40+
Peer-reviewed journal articles since 2020
Across applied linguistics, education, educational technology, psychology, and health services research.
Impact trajectory
Cumulative Google Scholar citations
Raw citation counts

03 · Research Programmes

Three connected research programmes

Applied linguistics is the principal field in which much of this research is conducted, and cultural-historical theory provides its intellectual foundation. The three programmes retain distinct contributions, and their intersections are described in the next section.

01
Generative AI
in Education

This programme investigates how generative AI changes learning, thinking, authorship, and assessment, with a particular focus on language and higher education.

  • How do learners use generative AI when composing, reasoning, and learning in a second language?
  • How can critical thinking and accountability be understood and assessed in AI-mediated environments?
  • Which educational conditions support meaningful and equitable participation?
02
Agency, Emotion
& Educational Change

This programme examines how educators interpret challenging experiences and act within the opportunities and constraints of their professional environments. It brings together systematic reviews of teacher agency, conceptual work on perezhivanie and the unity of emotion and cognition, and empirical studies of language teachers.

  • How do cognition, emotion, and identity shape teachers’ professional agency?
  • How do educators negotiate critical events, institutional reform, and English-medium instruction?
  • How does agency develop as teaching practice encounters new technologies, including generative AI?
03
Evidence Synthesis
for Policy & Practice

This programme involves the appraisal, integration, and interpretation of research for decision-making. Reviews span education, hospital settings, assistive technology, disability, and sustainability education.

  • How can systematic, scoping, and rapid reviews be designed to meet the needs of decision-makers?
  • How do commissioning organisations use rapid reviews once they are delivered?
  • How should evidence-informed policy and practice adapt as generative AI changes the production of knowledge?

04 · Connections

How the research connects

Each programme stands on its own, and not every project addresses all three. The map shows where the programmes inform one another most directly.

Generative AI
Agency & Emotion
Evidence Synthesis
Intersections
Cultural-Historical Theory
Applied Linguistics

05 · Connect

Proposals and connections

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