This session will explore how higher education systems can build faculty capacity for responsible, inclusive, and human-centred use of artificial intelligence. Drawing on comparative experience from India, Canada, and Australia, it will examine realistic faculty development models, institutional readiness, and governance needs. The discussion will surface practical actions for universities and policymakers to strengthen AI adoption in teaching and research while aligning with long-term human capital priorities.

#aifuture #futureofai #ai

Artificial Intelligence (AI) is transforming the way we learn and teach, and its impact on education is only set to grow in the coming years. In this video, we'll explore the opportunities and challenges of AI in education.

First, we'll take a look at the current state of AI in education and how it's being used to personalize learning experiences for students. We'll also examine the challenges that AI faces in education, such as data privacy and ethical concerns.

Next, we'll dive into the latest trends in AI in education, including adaptive learning, intelligent tutoring systems, and chatbots. We'll explore how these technologies are being used to improve student engagement, increase retention rates, and provide more personalized feedback.

We'll also discuss the potential impact of AI on the role of teachers and the future of education as a whole. While AI has the potential to enhance the teaching profession and improve student outcomes, it also poses a threat to certain aspects of education and could exacerbate existing inequalities.

Finally, we'll make some predictions about the future of AI in education and what we can expect to see in the coming years. From virtual reality classrooms to personalized learning paths, the possibilities are endless.

Overall, this video will provide a comprehensive overview of the current state of AI in education and what we can expect in the future. Whether you're a teacher, a student, or simply curious about the latest trends, this video is a must-watch.

Join our new video on the future of AI trends and predictions.

👉 𝐈𝐟 𝐲𝐨𝐮 𝐥𝐢𝐤𝐞 𝐭𝐡𝐢𝐬 𝐯𝐢𝐝𝐞𝐨, 𝐩𝐥𝐞𝐚𝐬𝐞 𝐥𝐢𝐤𝐞 𝐢𝐭 𝐚𝐧𝐝 𝐬𝐡𝐚𝐫𝐞 𝐢𝐭.

👉 𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.
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Expert voices from education, research, and policy will explore how AI is being used in K-12 settings - from classroom instruction to district-level strategies.

Moderator: Ying Xu, Assistant Professor of Education, HGSE

Guest speakers:
- Keith Parker, Superintendent, Elizabeth City-Pasquotank Public Schools, NC
- Yenda Prado, Learning Sciences Research Analyst, Digital Promise
- Kedaar Sridhar, Co-founder and Chief Product and Tech Officer, M7E AI

Generative AI tools are here to stay. There’s a debate around whether or not they should be embraced in spaces of learning. Recent reports suggest that the risks of using these tools might outweigh the benefits, threatening cognitive development by doing the thinking for their users. This is forcing educators into a dilemma: how do they make the most of AI’s potential, while also protecting students’ ability to think for themselves? In this episode, host Samantha Laine Perfas talks with cognitive scientist Tina Grotzer, applied mathematics professor Michael Brenner, and educator Ying Xu about how to use AI tools to enhance learning, rather than replace it.

Learn how chatbots work and how to build one for your business in this case study.

AI Casefile Playlist: https://www.youtube.com/watch?v=zKGhV-I250o&list=PL5oju95YSpTV69RmprRJV_YUswBJo2799

AI chatbots aren’t just for tech experts anymore. With the right tools and guidance, anyone can build a chatbot that answers questions, automates tasks, and improves customer experience.

Looking for an easy way to get started with AI education and build your own chatbot—without needing to code? You’re in the right place. In this video, we follow Olivia, a customer service professional, as she explores how AI chatbots can transform everyday work and help her grow her career. Whether you’re working in retail, freelancing, or just curious about automation, this AI education chatbot tutorial is the perfect entry point.

Olivia learns step-by-step how to create a chatbot using IBM Watsonx Assistant—no coding required. This AI education chatbot journey shows you how to go from complete beginner to confident chatbot builder.

If you've ever searched for “how to make money with AI”, “AI tools for work,” or “chatbot training tutorial,” this video is for you. We break it down in clear, simple steps so you can start your own AI education chatbot project today. Stick around to learn how to deploy your bot on websites, mobile apps, and even Facebook Messenger.

Meet Olivia, a 25-year-old working in customer service and bookkeeping at a small flower shop that serves customers both in-store and online. She’s sharp, organized, and well-liked—but like many, she’s hearing the buzz: “AI is coming for your job.”

Instead of panicking, Olivia gets curious.

She starts with the basics: What is a chatbot? A chatbot is a digital assistant that simulates human conversation. It can answer FAQs, provide information, and even help customers choose the perfect bouquet. By automating these repetitive tasks, Olivia realizes she can save time, reduce errors, and focus on meaningful parts of her job.

But Olivia doesn’t stop at basic replies. She discovers action workflows—smart sequences that let her chatbot guide users through tasks like finding store hours or making product suggestions. These workflows are driven by action variables (temporary data used during a task) and session variables (data that persists across conversations). This combo creates more intelligent and user-friendly interactions.

As she dives deeper, Olivia learns about decision-tree bots (structured and predictable) vs. generative AI bots (flexible and conversational). By blending both, she designs a hybrid assistant that feels responsive and personal.

Using IBM Watsonx Assistant, Olivia builds, tests, and deploys her chatbot across web, mobile, and messaging apps. With no need to code, she customizes the design, integrates APIs, and even installs the chatbot on her shop’s WordPress blog. Now, her assistant handles orders, answers questions 24/7, and improves customer satisfaction.

Along the way, Olivia answers key questions many people ask:

How do chatbots actually work?

Do I need to be a developer to use one?

Can chatbots help me at my job or business?

How can I earn or save money with AI?

The answer? Yes. Olivia’s story shows that chatbots aren’t job-stealers—they’re power tools. Whether you work in retail, support, freelancing, or run a side hustle, a well-trained chatbot can save hours, scale your service, and increase earnings.


#NoCodeAI

#aichatbots

#officework

#worksmarterwithai

#aieducation #learnai

#aiforbusiness #casestudy

What if universities don’t “disappear”… but lose their monopoly on learning, credentials, and opportunity?

AI is turning education into something radically different: personal, instant, adaptive, and always available. When every student can have a 24/7 tutor, a writing coach, a coding partner, and a study plan designed specifically for them, the old model—one professor, one curriculum, one pace for everyone—starts to look outdated. And the biggest disruption isn’t the classroom. It’s the credential. Because in an AI world, proof of skill can become more valuable than a piece of paper.

This video explores the end of universities as we know them: what AI is bringing, what will break, what will survive, and what replaces the traditional path.

In this video you’ll discover:
✔️ Why AI tutoring could outperform one-size-fits-all lectures
✔️ How “degrees” may shift into skill proof: portfolios, projects, and verified competency
✔️ What happens when the “middle” of studying becomes automated
✔️ How universities may evolve: research hubs, networks, high-trust credentialing
✔️ The dark side: cheating, dependency, inequality, and biased evaluation
✔️ The new advantage: judgment, creativity, and responsibility in a world of instant answers

💬 Comment below: Do you think degrees will matter less by 2030—or will universities adapt and stay dominant? And tell us what country or city you’re watching from.

🔔 Subscribe and turn on the bell for weekly videos on AI, education, the future of work, and how the world is changing faster than schools can update.

🔴 IMPORTANT
This content is educational and commentary. It is not academic, legal, or career advice. Policies and technologies evolve quickly.

#AI #Education #Universities #FutureOfLearning #EdTech #FutureOfWork #ArtificialIntelligence #Skills #DigitalTransformation #Tech2026

Transcription
Follow along with the transcript.

In this episode, we address the fear-inducing studies and headlines that often interrupt meaningful conversations about the value of AI in education. When these narratives take over, they can unintentionally strip away equitable options for both teachers and learners. We push back against fear-based reactions and refocus the conversation on ownership—what appropriate AI use actually looks like and what can and should be done in classrooms.

We also emphasize the importance of bringing student voices into the process. Instead of shielding students from the research, we encourage educators to let students investigate the studies themselves, analyze claims, and draw their own conclusions. Students then share their thinking and engage in dialogue with peers about why they landed where they did. We highlight Kapor as a valuable tool that can support this work by helping structure ethical reflection, discussion, and critical analysis. This episode centers on agency, equity, and shared responsibility—treating AI not as something to fear, but as something to understand, question, and use thoughtfully together.