AI can help a student understand a difficult concept, challenge their thinking, and strengthen learning. It can also write the essay, solve the problem, and do the thinking for them. The challenge for education is no longer simply whether students should use AI, but whether it is supporting the cognitive work learning requires or replacing it. In this article, we explore why that distinction matters.

What if the smartphone isn’t the device that defines the next decade? Meta’s new Muse Charm, AI glasses, and OpenAI’s work with former Apple design chief Jony Ive may signal a growing race to build what comes next. For parents and caregivers, this shift could change far more than screen time. We explore the rise of personal AI, wearable technology, privacy, parental controls, and why “When should my child have their own AI?” may soon become an important question.

What happens when AI stops being something youth and teens open on a phone and becomes something they carry everywhere? Meta’s new Muse Charm offers a glimpse into a future of portable, personalized AI companions that can see, hear, remember, and respond. We look beyond the novelty to what parents and caregivers should know about privacy, emotional attachment, developmental readiness, and keeping the human element at the centre of AI.

What if one of the smartest career moves for today’s teens isn’t found in a university lecture hall, but in an apprenticeship, a toolbox, and a pair of work boots? As AI and robotics reshape the workplace, Canada is also facing a growing need for skilled tradespeople. We explore why the trades deserve a fresh look, how technology will change these careers too, and why adaptability may become one of the most valuable skills of all.

For years, we taught children and teens to think about their “Digital Footprint,” the trail they leave behind online. But generative AI has changed the conversation. Today, our digital identity can also be shaped by what others share, what technology infers, and even things AI creates that we never said or did. Perhaps it’s time for a new analogy, the “Digital Echo,” what can continue, spread, change, or be created about us long after the original moment.

Teddy may do more than talk back. AI-powered toys can hold conversations, remember what children tell them, personalize responses, and potentially collect their voices and personal information. They can also get things wrong. Before an AI teddy bear, robot, or dinosaur ends up under the tree, parents need to understand what may be happening behind that friendly face. Teddy may be a toy, but it may also be a data-collecting computer.

New Canadian research involving nearly 40,000 Ontario students found that about one in five reported turning to generative AI for emotional support or advice, with these students also more likely to experience emotional difficulties. But does AI contribute to those struggles, or are struggling youth more likely to seek out AI? The research can’t answer that yet. What it does tell parents is important, don’t just ask if your child uses AI. Ask what role AI plays in their life.

AI in schools is no longer just about what a chatbot can generate. As AI evolves from answering prompts to accessing information, connecting with systems, and taking action, the questions schools need to ask are changing. What can AI see? What permissions does it have? What can it do on our behalf? Heading into 2026/27, AI literacy must include privacy, security, human oversight, permission literacy, and responsible AI agency.

Smart glasses and AI-enabled wearables are entering schools faster than many policies can keep up. Cameras, microphones, AI, and cloud processing can now be hidden inside everyday eyewear and accessories, creating new questions around privacy, consent, accessibility, safety, and misuse. We created this free, adaptable draft policy to help schools establish clear, balanced expectations before an incident forces them to react.

As AI becomes more conversational, personalized, and human-like, youth may know they’re talking to technology while still feeling like someone is listening, understanding, or even caring. That difference matters. AI can create real feelings without having feelings of its own. We call this the Anthropomorphism Gap, and understanding why AI can feel like “someone” rather than “something” should become an important part of AI literacy.

The debate over AI in schools is often framed as a simple choice: allow it or restrict it. We believe that misses the bigger question. Not all uses of AI carry the same risks or consequences. Rather than focusing solely on whether AI is being used, schools and families should be asking when, why, and how it is being used, what student data is involved, and whether its educational value justifies its risks.

For years, we’ve taught young people to think about their digital footprint, what technology can remember about them. AI adds a new dimension: their AI imprint, what technology can potentially learn from them. Their photos, words, voices, prompts, clicks, and behaviours may do more than leave a trail, they can help shape the technologies around them. In the age of AI, “think before you post” is no longer enough. We also need to teach, “think before you prompt.”

As AI makes it easier to turn ordinary photos into harmful deepfakes, should Canadian schools rethink posting identifiable students and staff on public social media? This emerging legal question goes beyond consent and asks whether foreseeability, negligence, and a school’s duty of care could eventually come into play. The law hasn’t answered this yet, but the risk has changed, and it’s a conversation school leaders should be having now.

Social media isn’t disappearing, it’s evolving. Through conversations with thousands of Canadian students, we’re seeing a new digital migration. As AI-generated content blurs the line between what’s real and what’s artificial, many youth are moving their most meaningful conversations away from public platforms and into smaller, trusted digital communities. Here’s why that shift matters, and what parents, caregivers, educators, and policymakers need to understand.

Three years ago, AI was something families talked about. Today, it is embedded in the apps, social media platforms, search engines, and digital tools our kids use every day. This article explores how artificial intelligence is reshaping digital literacy, why AI literacy can no longer stand alone, and why developing judgment, critical thinking, ethics, and the human element through what we call Onlife Literacy has become essential for raising AI-ready youth.

AI is beginning to do more than help us write messages. It may soon be dating on our behalf. As dating platforms introduce AI agents that can start conversations and build connections, an important question emerges: what happens when technology replaces the very experiences that develop confidence, resilience, empathy, and communication? This article explores why parents, caregivers, and educators should pay attention to this emerging shift before it reaches younger generatio

Artificial intelligence belongs in education, but successful implementation requires more than innovative technology. One school district’s decision to introduce an AI humanoid robot into classrooms quickly became overshadowed by the controversial history of the company behind it. This case study explore

Artificial intelligence is already part of students’ lives, whether schools embrace it or not. The real question is whether young people will learn to use AI through thoughtful guidance from trusted educators or by trial and error online. This article explains why educator-led AI literacy, critical thinking, ethical judgment, and strong school-home partnerships will prepare students far better than bans ever will.

A single social media post by a Canadian police agency has become a powerful lesson in the age of artificial intelligence. When an image of seized cash, drugs, and weapons was questioned as being AI-altered, the story quickly shifted from successful enforcement to concerns about trust, transparency, and digital evidence. What happened next offers an important warning for every public institution navigating the AI era.

AI is transforming how we work, learn, and create, but every AI prompt also carries an environmental cost that many people never see. New research suggests AI systems could generate millions of tonnes of carbon emissions and consume hundreds of billions of litres of freshwater each year. The good news is that innovation is also driving cleaner, more efficient data centres. Understanding both the challenges and the solutions helps us move beyond fear and ask a better question