Technology In Education

Projector technology has come a long way from standard classroom overheads, and when combined with artificial intelligence, it’s taking on a whole new dimension. Instead of static images, we can now project historically accurate scenes or complex scientific models that respond in real time to user interaction. AI’s role in analyzing and reconstructing historical data means we could, for example, see a centuries-old medical procedure recreated in precise detail - projected onto the very space around us. This approach can transform the way we learn about the past and develop new skills for the future. Students might explore ancient civilizations or examine architectural marvels as if they were physically present, while professionals in fields like engineering and medicine can practice intricate procedures in immersive simulations. All of this happens without risk to people or resources, thanks to AI-driven accuracy and the visual fidelity of modern projection systems. By bringing moments in history to life and offering realistic training scenarios, the combination of projectors and AI (similar to VR and AR) opens the door to more engaging, experiential learning. Traditional theories come off the page and into the room, empowering deeper understanding and creativity. As these tools continue to evolve, they could help reshape both the preservation of heritage and the development of new ideas. What era, event, or futuristic concept would you find most valuable to explore with this technology? #innovation #technology #future #management #startups

Today Common Sense Media released their new white paper on "Generative AI in K–12 Education: Challenges and Opportunities." It takes a deep dive into the complexities of AI adoption in education and I was fortunate to share some of our experiences from AI for Education's work in schools and districts with one of the authors, Bene Cipolla . The white paper is definitely worth a read and we love the emphasis on responsible implementation, the importance of building AI literacy, and the need for clear guidelines to ensure AI enhances rather than undermines learning experiences. Key Highlights: Current State of AI in Education: • Though familiarity is increasing, there is still a lack of fundamental AI literacy • Only 5% of districts have specific generative AI policies, which reflects what we have seen in the field • Students are using AI tools, often without clear guidelines Opportunities for AI adoption: •  Student-focused: Adaptive learning, creativity enhancement, project-based learning, and collaborative support •  Teacher-focused: Lesson planning assistance, feedback on teaching, and productivity gains •  System-focused: Data interoperability, parent engagement, and communication Risks and Challenges: •  Inaccuracies and misinformation in GenAI outputs •  Bias and lack of representation in AI systems •  Privacy and data security concerns •  Potential for cheating and plagiarism •  Risk of overreliance on technology and loss of critical thinking skills What Students Want: •  Clear guidelines on AI use, not outright bans •  Recognition of both potential benefits and ethical concerns of the technology •  More education on AI's capabilities and limitations Recommendations: •  Invest in AI literacy for educators, students, and families •  Develop standardized guidelines for AI use in schools •  Adopt procurement standards for AI tools in education •  Use participatory design to include diverse voices in AI development •  Center equity in AI development and implementation •  Proceed cautiously given the experimental nature of the technology Make sure to check out the full report and let us know what you think - link in the comments! And shoutout to all of our EDSAFE AI Alliance and TeachAI steering committee members featured in the white paper. #aieducation #GenAI #ailiteracy #responsibleAI

The shift toward #onlinelearning is enhancing #highered's ability to meet all students where they are. But much work still remains to educate all relevant stakeholders—including policymakers, institutional leaders, and even students’ families—about the potential benefits tech-enabled learning can yield. As the president of Western Governors University, I recognize the unique role I can play in elevating this discussion. Today, both innovative online universities and established brick-and-mortar institutions are leveraging technology to provide students with greater flexibility and personal ownership over their experience; recently it was reported that 70% of college students are enrolled in at least one online course. But offering online courses or even programs doesn’t necessarily mean an institution is fully capitalizing on technology’s potential. As with any innovation, its potential rests in how it’s deployed. Unfortunately, online learning is often deployed with the same artificial constraints that exist in traditional models of learning, ensuring its impact will be limited. (It's been said before, but I'll say it again: delivering lectures via Zoom is not quality online learning). In stark contrast, effective online learning design should be purposefully designed for the virtual environment, leveraging digital tools and approaches that would be difficult to replicate in-person, at scale. Thanks to advances in technology, for instance, readily available data on how students are doing can empower faculty to reach out to students in need—and critically before they fall too far behind and get discouraged. At WGU, we use machine intelligence to better understand our students’ momentum at a given moment, drawing on indicators such as how they’re interacting with learning resources, the extent to which they’re engaging with faculty, and how they’re progressing. By identifying when students have less momentum and are in greater need of support, our faculty are empowered to design personalized interventions when students need them the most, which we’ve shown improves retention and progression. Compiling this sophisticated level of actionable information simply would not be possible without the support of technology. I’d love to know—how else are you seeing online learning deployed deliberately and effectively?

Learning Rapidly: Insights on the Future of Engineering Education In a recent conversation, we had the privilege of speaking with Dr. Jacqueline El-Sayed, who recently joined SAE International after leading the American Society for Engineering Education (ASEE). As industry and academic leaders grapple with the rapid pace of technological change, her insights on the future of engineering education and workforce development are particularly timely. “Technology is changing so rapidly. We really need students and faculty to be out there in the real labs where industry is doing their work… immersive-type learning, experiential learning is great for everyone. You can see a real collaborative between industry, education and students” Listen in to the latest episode of Engineering the Future Workforce as we talk about digital transformation and its impact on shifts in engineering education. "When you have [AI] tools that are so powerful, the human side of the engineer becomes paramount because the ethics of what those tools are used for…the machine doesn’t have that.” Engineering associations and membership societies play a vital role as communities of practice, driving change and ensuring the relevance of engineering curricula. As we discussed credentials, Jackie highlighted the ABET quality assurance process as a strong example of industry-academia collaboration, with representatives from all the major engineering societies appoint evaluators to learn and inform the criteria and review programs. One of the most important competencies Jackie identified for future engineers is the ability to learn rapidly. Students today have been online and active in a global community from a young age. “They’re digital natives, meaning the digital connectivity is part of their identity. It’s a language they are very adept and comfortable in.” This vision of the future, where AI serves as a catalyst to personalize and accelerate learning, has exciting implications for engineering education. As industry and academic leaders collaborate on workforce readiness and development, embracing innovative approaches and strengthening industry-academia partnerships is crucial. Read the recap: https://lnkd.in/gPfs7nan. Shannon O'Donnell #EngineeringEducation #Academia 

Embracing AI in Healthcare Education: A Game-Changer for Medical Professionals In the ever-evolving world of healthcare, staying at the forefront of medical knowledge and practice is paramount. Enter AI – a revolutionary tool reshaping how medical professionals learn and grow. 🏥💡 🤖 With AI, like the advanced large language models, we're witnessing a seismic shift in medical education. These intelligent systems offer more than just vast repositories of medical literature and up-to-date research; they provide interactive, personalized learning experiences. 👩⚕️🧠 For instance, AI-driven simulations are transforming surgical training, enabling doctors to practice complex procedures in a risk-free, virtual environment. The realism and feedback offered by these simulations are taking skill acquisition to new heights. 📊 Moreover, AI's predictive analytics are invaluable in research and diagnostics, assisting clinicians in making more informed decisions. This not only enhances patient outcomes but also serves as a learning tool for medical professionals to understand intricate patterns in patient data. 🌍 Additionally, AI breaks down geographical barriers in education. Remote learning powered by AI tools brings world-class education and training to professionals globally, fostering a more inclusive and diverse medical community. 🤝 While AI is a powerful tool, the human touch in healthcare remains irreplaceable. The goal is not to replace, but to augment. AI in healthcare education is about enhancing human decision-making and empathetic patient care with advanced technology. 🔍 #HealthcareInnovation #AIMedEd #MedicalAI #HealthcareTech #ContinuousLearning 💡 What are your thoughts on the role of AI in healthcare education? Let's discuss how we can harness this technology to better equip our medical professionals for the challenges of modern healthcare. Please share and follow Harvey Castro, MD, MBA.

A new study from MIT (🔗 https://lnkd.in/eqUqeQUS) suggests that using tools like ChatGPT for writing tasks may lead to something called “cognitive debt.” EEG data showed that participants relying on AI exhibited higher cognitive load in the alpha brainwave band, potentially indicating reduced deep thinking or overreliance on the tool. This research is important, especially for those of us in learning and development. It raises valid concerns about how AI might affect attention, memory, and metacognition when used without clear intent or guardrails. But it’s also not the full story. There is growing evidence that AI can amplify creativity, accelerate ideation, and support more inclusive thinking when applied strategically. For example, a 2023 study published in Nature Human Behaviour (🔗 https://lnkd.in/erA5-Dm5) found that individuals collaborating with generative AI produced more novel and diverse ideas in product development tasks compared to those working without it. The real issue is not whether AI is good or bad for the brain. It’s about how we shape the interaction. Learning professionals have an opportunity here. We can design experiences that use AI to enhance reasoning, reflection, and synthesis, rather than bypass them. That means teaching prompt literacy, embedding moments of critical engagement, and designing for transfer, not just task completion. AI can be a crutch. It can also be a scaffold. Our job is to know the difference and design accordingly. How are you preparing your learners for this new landscape? #learningdesign #instructionaldesign #AIinLND #cognitivedebt #educationaltechnology #futureoflearning

AI isn't dumbing down education – it's raising the bar in these three crucial areas. Many educators overlook something about AI in learning: It demands more skills, not fewer. 1. Prerequisite Knowledge: • Students need substantial subject understanding. • AI effectiveness correlates with user's expertise. 2. Critical Evaluation Skills: • Ability to question and verify AI outputs is crucial. • Information literacy becomes more important, not less. 3. Enhanced Writing Abilities: • AI requires refined writing skills to improve outputs. • Maintaining personal voice amid AI assistance is vital. These commonalities highlight a shift. • From seeing AI as a shortcut. • To recognizing AI as a tool requiring skilled operation. The takeaway? Effective AI use in education isn't about offloading thinking—it's about elevating it. P.S. Which of these ideas resonates most with you? Why? #generativeAI #teaching #learning #leadership

A teacher can inspire students in a powerful and imaginative way by using AI-generated images of their potential future selves. This approach taps into the students' emotions and aspirations, making learning more engaging and personal. By leveraging advanced AI tools, the teacher can create visual representations that show students thriving in their dream careers, contributing to cutting-edge technologies, or living fulfilling lives in various fields. These images serve as a form of visual storytelling, igniting motivation and fostering a belief in their own possibilities. When students see a tangible, visually stunning depiction of their future selves achieving their goals—whether it's becoming a scientist, an entrepreneur, or an artist—it creates a deeper connection to their present work. It shifts their mindset from abstract future plans to something that feels real and achievable. This technique not only enhances their enthusiasm for learning but also help them realize that the choices and efforts they make today are directly shaping the future that lies ahead. Through these AI-generated visuals, the teacher transforms the learning environment into one that feels dynamic, personal, and full of potential. Video credit and rights are reserved with the respective owners. #honestai #honestaiengine Disclaimer: The post is a discussion only about how GenerativeAI can transform education and careers.

By the time today’s freshmen graduate, much of what they learned will be obsolete. The fix isn’t just better curriculum — it’s better thinking. My computer science degree taught me languages and algorithms. But what prepared me for my career? Two years of hands-on coding at Motorola while still in school. That real-world work taught me to solve ambiguous problems, adapt fast, and deliver under pressure — skills no classroom can teach. What school did give me was the ability to think critically, analyze complex systems, and learn continuously. These meta-skills matter far more than memorizing code. Today, this is more urgent than ever. AI and tech evolve so fast that freshman year knowledge can be outdated by senior year. Universities must shift focus: teach students how to think critically and learn continuously — so they can adapt and lead no matter how fast technology changes. And they must make AI literacy foundational across all disciplines — not just coding, but understanding how AI shapes decisions, automates work, and disrupts industries. This empowers graduates to use AI strategically, evaluate its impact, and collaborate with it — not compete against it. The future of education is clear: 🔹 AI literacy in every field 🔹 Critical thinking and continuous learning 🔹 Tech fluency balanced with human creativity Today is World Youth Skills Day. On #WorldYouthSkillsDay, let’s commit to building lifelong learners who don’t just survive change — they drive it. #AI #FutureOfWork #Leadership #artificialIntelligence

Action-Oriented Strategies for Higher Education Administrators: Supporting Students in the Age of AI As AI reshapes the workforce, Kathleen deLaski’s insights urge higher education leaders to evolve beyond traditional degree pathways. Institutions must help students develop adaptable skills, pursue flexible credentials, and prepare for a rapidly changing labor market. 1. Embrace Flexible Learning Pathways • Expand Credential Options: Offer stackable credentials, micro-certifications, and short-term programs aligned with workforce needs. • Support Lifelong Learners: Design offerings for career switchers, adult learners, and students seeking targeted upskilling. 2. Integrate Work-Based Learning Experiences • Offer Project-Based Learning: Embed real-world challenges into courses to help students build portfolios and apply classroom learning. • Promote Internships and Co-ops: Strengthen employer partnerships to provide more structured and scalable experiential opportunities. 3. Align Curriculum with Industry Demands • Prioritize Transferable Skills: Ensure students develop communication, critical thinking, problem-solving, and adaptability. • Introduce AI and Tech Literacy: Help students understand and responsibly engage with emerging technologies shaping their fields. 4. Deepen Employer Collaboration • Co-Develop Career Pathways: Work directly with employers to shape programs that reflect current and future job requirements. • Recognize Industry Certifications: Integrate or endorse credentials that are highly valued in targeted fields. 5. Rethink the Value Proposition of a Degree • Highlight Career Outcomes: Be transparent about employment rates, earnings, and skill acquisition tied to academic programs. • Support Alternative Pathways: Embrace and validate non-traditional routes to success, ensuring students can choose the right fit for their goals. ⸻ By adopting these strategies, higher education leaders can position their institutions as agile, student-centered, and aligned with the future of work in an AI-driven workforce.