MIL for ASEAN Network
The MIL for ASEAN Network is a social network that connects MIL advocates in Southeast Asia.
05/06/2026
Education systems must change the way they teach, assess, and organise learning so they remain relevant in a rapidly changing world. The main question is not whether we should innovate, but whether these innovations truly strengthen human thinking and judgement. When students depend too much on AI to guide every step of problem-solving, they may miss the thinking process that helps them build real-world understanding.
When knowledge-validation processes appear unreliable, the motivation to engage in effortful verification weakens. Education may then risk becoming a space where ideas are accepted simply because they sound convincing, rather than because they have been critically questioned or examined.
https://www.weforum.org/publications/shaping-the-future-of-learning-education-readiness-for-the-age-of-ai/?utm_source=linkedin&utm_medium=social
World Economic Forum Reports Published: 4 June 2026 Shaping the Future of Learning: Education Readiness for the Age of AI Download PDF Artificial intelligence is transforming how people learn, access knowledge and develop skills - but education will not be determined by technology alone. As AI adoption accelerates acros...
02/06/2026
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.
01/06/2026
Literacy is about knowing how AI works and how media messages are constructed. Agency is the ability to make responsible choices based on that knowledge, to ask critical questions, create, reflect, and act with ethical judgement.
1️⃣Human judgement refers to the ability to think critically before accepting AI-generated answers. Students and teachers need to question whether the information is accurate, fair, biased, ethical, or relevant.
2️⃣Teacher autonomy means teachers should remain as decision-makers in the classroom. AI can support teaching, but it should not replace teachers’ professional judgement, creativity, values or uderstanding of students’ needs.
3️⃣Student agency is the ability of students to make responsible choices when using AI. They should know when to use AI, when not to use it, how to verify information, and how to keep their own voice, ideas, and responsibility in the learning process
In the age of AI, our learners should not become passive users of technology. They should become thoughtful, critical, and responsible decision-makers.
31/05/2026
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.
30/05/2026
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.
27/05/2026
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?
27/05/2026
Media literacy focuses on the critical analysis of persuasion, propaganda, and entertainment, while helping learners understand how meaning is constructed and interpreted.
Disassembling Mis/Disinformation, Reassembling Democracy Musing about my AERA 2026 experience
26/05/2026
MIL for Asia Network wishes all Muslims across Southeast Asia a blessed Eid al-Adha.
May this year’s celebration brings blessings, strengthen the bonds, and nurture the values of compassion, love and togetherness.
24/05/2026
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.
12/05/2026
“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...
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