MIL for ASEAN Network

In an AI-supported classroom, teachers should remain the pedagogical decision-makers.

AI can certainly assist teachers by generating examples, simplifying explanations, suggesting activities, and supporting differentiated learning. However, it is still the teacher who must decide whether the AI output is appropriate, contextually relevant, ethically sound, and aligned with learning objectives.

The real concern is over-reliance on AI, which may lead to what we can call pedagogical outsourcing, a situation where teachers gradually surrender instructional design and assessment to automated systems.

Teacher autonomy in the AI classroom means having the professional capacity to:
✅ Select when AI is useful
✅ Reject AI when it is unsuitable
✅ Adapt AI outputs to the learning context
✅ Guide students to question AI outputs critically

AI should support teachers, not replace their professional judgement.

👉🏼Follow our next posts as we explore how teachers can guide students to question AI outputs critically.

Generative AI in education needs media literacy and critical thinking.

Generative AI in education needs media literacy and critical thinking: Insights from an interview with Wayne Holmes How can AI be used in the classroom? Wayne Holmes encourages us to approach GenAI with a more reflective mindset.

MIL for Asia Network wishes all Buddhists a blessed Wesak Day.

May the values of compassion, wisdom, mindfulness, and peace continue to guide our shared commitment to education, lifelong learning, and the betterment of society.

The core goal of media literacy education remains unchanged: to help people understand, question and navigate media environments in ways that support agency, participation and informed decision-making.

https://akademie.dw.com/en/how-ai-works-where-it-pop-ups-and-why-it-matters-for-media-literacy/a-76857117?fbclid=IwZnRzaASDIFhleHRuA2FlbQIxMQBzcnRjBmFwcF9pZAo2NjI4NTY4Mzc5AAEeKvWWqMhIQyEB6zgZvOXMivUokq-WxG04hsGTuMJXQyZhmyLY8GQjopzvKeA_aem_SK8rkmd5ZaGCKM-ERb460g

How AI works and why it matters for media literacy AI shapes how we interact with information. What does that mean for Media and Information Literacy?

The shift from literacy to agency reminds us that knowing how to use digital media or AI tools is no longer enough.

In an age where information, images, voices, and even realities can be generated or manipulated by AI, learners must move from knowing to agency, from simply recognising that something might be fake, to questioning it, verifying its source, understanding its intent, recognising bias and deciding how to respond responsibly.

Media and AI literacy is not just about using tools faster or producing answers more efficiently. It is about developing the ability to learn, adapt, think critically, protect data privacy, and make ethical decisions alongside technology.

For educators, this means preparing learners not merely to become AI users, but informed, responsible, and agentic participants in an AI-driven society.

“Pedagogy must shift from information delivery to meaning-making. Teaching can no longer be defined primarily by transmission; it must prioritise dialogue”.

Beyond skills: Why story will define survival in the AI age In the AI age, as technical skills become increasingly replicable, their role as a basis for differentiation begins to erode. In their place is an eme...