Join Me in Exploring AI in Education
Explore the transformative potential of AI in education with me. Share your experiences, gain new insights, and collaborate with a community dedicated to fostering AI literacy for a richer, more engaging learning environment for all.
What Is AI Literacy
AI literacy equips educators with essential knowledge and skills needed to navigate artificial intelligence responsibly. It's much more than simply using AI-powered tools.
Beyond Tools
AI literacy is NOT about using AI-powered tools. It's about intentionally approaching these tools and understanding why we are choosing to use (or NOT to use) them.
It is also about understanding what makes us human and helping us enhance our human abilities in the age of AI.
The Why and How
What is most important is the question of why—intentionally approaching these tools with purpose. The how is equally important as that allows us to ensure that we are using these technologies effectively as well as reflectively.
This quote from a participant summarises our philosophy really well: "Thank you for the webinar. My main take away here was the Why and How we need to use the tools with students, and not just the introduction of the AI tool."
AI Literacy across the Curriculum
AI literacy is about understanding AI's foundations, recognizing its presence, evaluating its impact critically, and collaborating ethically.
AI Literacy development should be integrated across all subjects, not just technology classes.
Teacher and Student Empowerment
AI literacy transforms both teachers and students from passive consumers into informed decision-makers who can effectively evaluate and use AI tools for educational growth.
When educators develop AI literacy, they model critical engagement with technology that inspires students to become mindful about their AI use.
Upcoming Academic Engagements
28 January 2026 - Invited Talk: AI literacy across the curriculum. AI Week. American University of Sharjah, UAE.
31 January 2026 - Invited Talk: Operationalizing AI literacy for language teachers. Applied Linguistics and Language Teaching Forum, Abu Dhabi, UAE.
4 February 2026 - Plenary session: AI literacy across the curriculum. Online Pedagogy: Remote Teaching and Learning Strategies in the 21st Century. Ministry of Higher Education and Scientific Research University AbouBekr Belkaid, Tlemcen, Algeria.
Past Events
These are the diverse events I've contributed to, encompassing individual capacity-building workshops and engaging panel discussions. All these initiatives focus on critical topics related to AI education and its impactful integration into learning environments, often as part of professional organizations like AI Education Forum and UAE Teachers' Network.
Keynote: Student-Centered Support in the AI Age: AI Companions, Counseling, and Human Connection. The 6th ADU School Counselors Forum: Innovating Student Support: The Future of School Counseling in the Age of AI. Abu Dhabi University-Al Ain Campus, UAE, 15 January 2026.
AI-powered tools for academic reading and research. Faculty Development Program, Manav Rachna University, India, 25 November 2025.
Panel Discussion: Reclaiming learning in the age of AI. Faculty 360° 2025 Summit. Zayed University, UAE, 21 November 2025.
Cultivating Trust, Agency, and Wellbeing in AI-Driven Academia. Faculty 360° 2025 Summit. Zayed University, UAE, 21 November 2025.
Panel Discussion: Revolutionizing curriculum design with AI. The 2nd ADU International Conference on Education - Advancing Teaching Practices. Abu Dhabi University-Al Ain Campus, UAE, 1-2 October 2025.
The leader’s role in AI innovation. The 2nd ADU International Conference on Education - Advancing Teaching Practices. Abu Dhabi University-Al Ain Campus, UAE, 1-2 October 2025.
AI detection and plagiarism. Invited talk. Hong Kong Polytechnic University, 18 July 2025.
AI literacy in teaching and learning. Invited talk. Hong Kong Nang Yan College of Higher Education, 11 July 2025.
AI literacy in teaching and learning. Invited talk. Saint Francis University, Hong Kong, 8 July 2025.
AI literacy in action: AI detection and plagiarism. UAE Teachers Network, UAE, 3 July 2025.
AI literacy in action: Enhancing presentation skills in teens. UAE Teachers Network, UAE, 19 June 2025.
Professional Communication in the Age of GenAI. TESOL Conferences: 29th International Conference and Exhibition, University of Sharjah, UAE, 18-20 April 2025.
GenAI and its transformative impact on professional communication practices: A case study. CPCECPR Conference 2025: Human Technology and Artificial Intelligence—Quality Transformation, College of Professional and Continuing Education, The Hong Kong Polytechnic University, 13 January 2025.
AI reading tools and academic literacy development. 1st Annual Multilingual Conference, GEMS Wellington Academy, Dubai, UAE, 1-3 November 2024.
Harnessing GenAI: Hong Kong undergraduate students’ attitudes towards the role of AI tools in learning and assessment (with Cheung, L.M.E. and Lu, W.M.). Engagement in the Digital Age: International Conference on Language Teaching and Learning, Hong Kong Baptist University, 17-18 June 2024.
“Asking is faster than skimming”: AI-powered tools and what they mean for academic reading. Guest Talk, The Hong Kong Association for Self-access Learning and Development, 6 June 2024.
From theory to practice: Building AI literacy skills for education and the workplace. 2023 DGUT International Academic Week, Dongguan University of Technology, China, 1 December 2023.
AI tools for research and reading. Guest Talk, Hong Kong Nang Yan College of Higher Education, 22 November 2023.
Closing forum. Third Professional Development Symposium: The Power of AI in Education and the Workplace, Technological and Higher Education Institute of Hong Kong, 27 June 2023. https://www.youtube.com/watch?v=X19WRdWpVA4&list=PLviatFi5mJdfPQ3ifWwk0xDSKuWM7PMUR&index=4
AI literacy: The concept and its integration in applied degree education. Centre for Information Technology in Education Research Symposium 2023, The University of Hong Kong, 19-20 May 2023.
Articles
Explore my latest articles which address a range of critical issues concerning AI literacy for teachers.

Review of "AI Ethics: Policy Guidance for Language Education":

It's been a busy start to 2026, so I was really excited to sit down and spend some focused time on catching up with academic research and reading. One of the things I read this week was "AI Ethics: Policy Guidance for Language Education", authored and shared by TIRF - The International Research Foundation for English Language Education on LinkedIn just the other day. There is a clear need for practical frameworks for ethical AI use in language learning and teaching, and this guidance paper delivers on that front, to some extent, with concrete examples and excerpts from policies various institutions are using. For example, I found the excerpt from British Council rather useful. The section on citing AI sources is also excellent, and the discussion on plagiarism and detection is reasonably comprehensive. Those of us who remember Chomsky will appreciate a quote from him that includes the word “plagiarism”.

Despite the title, though, I feel this paper isn't really about language education specifically. It reads more like general guidance with a slim section on language skills that sticks to traditional skills. If you're looking for insights on how AI use and AI policies impact English language acquisition, intercultural communication, ESL writing instruction, or pronunciation practice (among other English language education topics), you may be disappointed.

Most references are from 2023 and 2024, with only three from 2025. In AI, that seems like an eternity. A lot must have changed in the past year, and that doesn't seem to be reflected here. AI literacy for teachers gets mentioned a few times (questions on p. 8, more on p. 24) but never gets the focused treatment it deserves. Given that AI literacy is foundational to everything else, this feels like a missed opportunity.

Overall, it's a useful starting point for institutional policy discussions, but language educators will need to look elsewhere for discipline-specific practical guidance.

LinkedInEditors

Your Pedagogical Framework Should Ground Your Choices

At my recent conference presentation, a teacher raised two questions I've heard a number of times now: "How do we keep up with all these AI tools? How do we know which ones to choose?" The questions took me back to 2023 when I was in Hong Kong and where anxiety due to the fear of missing out was pal

LinkedInEditors

When a Word Takes on a Whole New Life

In late 2020, Shari Dureshahwar Lughmani, a wonderful colleague and a true mentor who also happens to be a dear friend, invited me to co-author a chapter for an edited book on language teacher agency and identity. This was the beginning of an exciting journey as we joined a community of other writer

LinkedInEditors

Who Really Wrote This? Rethinking Authorship in the Age of AI

It was the summer of 2022 when I sat down to plan my research agenda for the coming academic year. Something had been bothering me: our students were producing summaries and paraphrases that were technically too good, especially given their current English proficiency levels.

File upload

A case study exploring AI and its impact on professional communication

Chigaeva-Heddad, S.I. (2025). Artificial Intelligence and its impact on professional communication: A case study. In Linguistics, Language Teaching, and Translation Studies: Current Issues and Research Perspectives (pp. 157-165). Chuvash State University, Cheboksary, Russia.

AI Terms Made Simple
This list is updated based on the topics I cover in my workshops and seminars.
AI Bypassers
AI tools designed to rephrase or alter AI-generated text, with the specific goal of making it undetectable by AI-detection systems.
AI Humanizers
AI Humanizers are tools that modify AI-generated text to make it sound more natural and human-like, often used to avoid detection by AI detection systems.
AI Sycophancy
When language models echo, flatter, or agree with users—even if it means ignoring facts or contradicting themselves to gain approval.
Burstiness
Burstiness measures how much perplexity varies throughout a document, reflecting text flow. Human writing naturally varies between simple and complex sentences, creating rhythm. AI-generated content typically lacks this variation. AI text generators often produce lower burstiness scores, creating monotonous content with repetitive patterns.
Perplexity
Perplexity functions as "a surprise meter" or the opposite of predictability. Higher perplexity indicates text with unexpected words or sentence structures—typically human-authored content. Lower perplexity suggests more predictable text, likely AI-generated.
Let's Connect
Share Your Insights & Experiences
Join a growing community of educators and professionals passionate about AI literacy to exchange ideas and best practices.
Collaborate & Grow Together
Explore opportunities for joint projects, resource sharing, and professional development to advance AI literacy initiatives.

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