Personalized Learning in Virtual Settings

I'm guilty of saying vague things like "AI helps us personalize learning", but we should get more specific. Here's a better framework: **Dimension 1: Personalize TO** - Persona (role, demographics, interest groups) - Individual (learner history, goals, preferences, skills, achievements) - Context (environment, situation, current activity/task, external conditions) - Dynamic Adaptation (real-time behaviors, emotional/cognitive state, immediate interactions) **Dimension 2: Personalize WITH** - Content & Resources (examples, scenarios, multimedia, exercises tailored to learner) - Instructional Strategies (methods such as scaffolding, exploratory learning, collaborative vs. individual tasks) - Pacing & Sequencing (rate of instruction, order of activities/modules, complexity adjustment) - Assessment & Feedback (adaptive quizzes, diagnostic evaluations, targeted formative feedback) - Motivational Elements (gamification, goal-setting, rewards, incentives, personalized recognition) - Interface & Interaction (UX design, modality—visual/audio/tactile, navigation paths, accessibility customizations) **Dimension 3: Personalization PURPOSE** - Engagement & Motivation (increase learner interest, attention, enjoyment, participation) - Performance Improvement (enhance learner outcomes, skills development, mastery) - Accessibility & Inclusion (address diverse learner needs, equity, remove barriers) - Efficiency & Time Optimization (reduce learning time, improve instructional efficiency, avoid redundancy) - Knowledge Retention & Transfer (long-term retention, real-world application, deeper understanding) We shouldn't fall for generic AI hype.... this type of framework can help us be specific about what we mean by personalization.

“Meeting students where they are” has become a familiar refrain in higher education. But - what does it mean? For many, the phrase is interpreted metaphorically: understand students’ starting points, empathise with their challenges, personalise their learning. But we must also take it literally. Students are not where we imagined they would be post-Covid. They are not back in the lecture theatre. Instead, they’re working extra shifts, caring for siblings or ageing parents, training for national competitions, or managing chronic illness. They’re commuting long distances, or not commuting at all. And even when they are online, they’re multitasking, catching up, and learning in short bursts between other responsibilities. Universities are beginning to respond. In Australia, Regional University Study Hubs are locally embedded, tech-enabled spaces that bring higher education into the everyday geographies of students’ lives. The model is expanding, being trialled in suburban communities where participation in traditional campus life is constrained by distance, cost, and complexity. Scheduling is also being reimagined. Institutions such as Victoria University have adopted block teaching models, allowing students to focus on one subject at a time. This deepens engagement and better fits the lives of students juggling work or family. Others are trialling evening intensives, rolling start dates, or asynchronous-first models. Some are experimenting with mobile classrooms or co-locating learning in community hubs like libraries or health clinics. While institutional change moves slowly, instructors can adapt more quickly. Some have moved the bulk of content delivery online, not as lecture recordings, but as purpose-designed modules. This frees up classroom time for what can’t be done well online: guest panels with industry experts, facilitated workshops, debates, and simulations. Others design assessments that invite students to apply theory to their lives, by analysing work or other experiences. Instructors have sliding participation windows, offer multiple modes of contribution, or use voice notes or video clips to respond to student queries, replacing anonymity with presence. Instructors are exploring AI tools to personalise the learning journey, helping students get unstuck with concept explanations tailored to their level of understanding, or providing feedback on formative work. Such tools allow us to also meet students where they are in their current grasp of a concept, their confidence, and their pace. To truly meet students where they are, we need more than convenience. We need redesign that raises our aspirations for the kinds of relationships, rhythms, and structures that contemporary learners need. Meeting students where they are means recognising that their lives are rich, complex, and constrained and that higher education must fit into that world, not ask students to leave it behind. #HigherEducation #Universities

Gen Alpha students are learning with AI tutors while your workforce still sits through PowerPoint presentations The learning divide is creating a talent transformation crisis. Today we tracked how AI-powered education is reshaping Gen Alpha and Gen Z, and the implications for CXOs are staggering. The New Learning DNA: → Personalized Learning Paths: Squirrel Ai Learning and ALEKS Corporation adapt to individual learning styles, creating custom curricula for each student ↳ Workforce Impact: Gen Alpha expects hyper-personalized development plans, not generic training modules → Instant AI Feedback: Khan Academy's Khanmigo provides real-time learning adjustments based on student performance ↳ CXO Reality: New hires expect immediate, contextual feedback - traditional annual reviews feel archaic → Virtual Experimentation: AI-powered virtual labs let students run risk-free experiments and simulations ↳ Business Implication: This generation thrives on trial-and-error learning, demanding safe spaces to innovate and fail fast → Micro-Learning Mastery: Students consume knowledge in bite-sized, AI-curated chunks optimized for retention ↳ Leadership Challenge: Long-form training sessions are becoming obsolete as attention spans adapt to micro-content The data is clear - students using AI learning tools show 70% faster skill acquisition and 85% better knowledge retention compared to traditional methods. But here's the kicker: they're entering workforces still operating on industrial-age learning models. Bridging the Learning Gap → Redesign Onboarding for AI-Native Minds: Create interactive, personalized learning journeys that mirror their educational experience → Implement Real-Time Learning Systems: Move from scheduled training to on-demand, AI-supported skill development → Build Experimentation Cultures: Establish safe-to-fail environments that match their virtual lab experiences → Adopt Micro-Learning Architectures: Break complex skills into digestible, immediately applicable modules Gen Alpha and Gen Z aren't just digitally native - they're AI-learning native. The companies that adapt to their learning DNA will capture the best talent. Those that don't will struggle with engagement, retention, and innovation. At PeopleAtom, we're building the future of workforce development where AI meets human potential. If you're a CXO or People Leader ready to transform how your organization learns and grows, join our waitlist to be part of this revolution. Love and generational bridges, Joe #FutureOfWork #GenAlpha #AILearning #WorkforceTransformation #PeopleStrategy

𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 (𝗩𝗥) 𝗳𝗼𝗿 𝗜𝗺𝗺𝗲𝗿𝘀𝗶𝘃𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 🎓 Feeling like your traditional e-learning modules are falling flat? We’ve all been there—staring at static slides or reading endless text that fails to capture our attention. This lack of engagement can seriously undermine the effectiveness of your training programs, leaving employees underprepared and your organization lagging behind. Here’s a game-changing solution: Integrate Virtual Reality (VR) into your Learning and Development (L&D) programs. Trust me, it’s not just about high-tech gimmicks—it’s about creating immersive, hands-on learning environments that make skills and knowledge stick. Here’s how you can transform your training with VR: 🎓 Create Realistic Scenarios: Use VR to simulate real-world situations that employees may face in their roles. This hands-on practice is invaluable for deep learning and skill retention. Imagine training a pilot or a surgeon—VR provides a risk-free environment to hone critical skills. 🎓 Boost Engagement and Retention: VR’s immersive nature captures learners’ attention like nothing else. Studies show that immersive learning significantly enhances information retention, ensuring that employees are not just learning but mastering the content. 🎓 Personalized Learning Paths: VR can adapt to individual learning styles and paces, offering a customized experience for each employee. This tailored approach helps address specific weaknesses and reinforces strengths, maximizing the impact of your training programs. 🎓 Safe and Controlled Environment: VR offers a safe space for employees to make mistakes and learn from them without real-world consequences. This is particularly beneficial for high-stakes industries like healthcare, aviation, and manufacturing. 🎓 Cost-Effective in the Long Run: While initial setup costs for VR may be high, the long-term benefits far outweigh the investment. With VR, you can provide consistent training experiences across different locations, reducing travel and operational costs. 🎓 Gamification Elements: Integrate gamified elements like points, badges, and leaderboards to make learning fun and competitive. This not only boosts engagement but also fosters a culture of continuous learning and improvement. By leveraging VR in your L&D programs, you can ensure that your employees are not only engaged but truly absorbing and retaining critical skills and knowledge. This investment in immersive learning will pay off in a more competent, confident, and competitive workforce. Got any innovative ideas for integrating VR into training? Share your thoughts below! ⬇️ #VirtualReality #ImmersiveLearning #TrainingInnovation #L&D #EdTech #FutureOfWork #SkillDevelopment #EmployeeEngagement

Glad to announce that FINALLY our article "Development and Evaluation of the Da Vinci AI Tutor: Enhancing Accessibility and Personalized Learning in Art History Education" has been published in Design+ This research explores how generative technologies and immersive XR environments can support personalized experiences in the humanities classroom. By embedding a conversational avatar modeled on Leonardo da Vinci into survey, advanced, and graduate art history courses, we bridged pedagogical tradition with adaptive, learner-centered design at Lindenwood University College of Arts and Humanities. 🎨 Immense gratitude to my brilliant co-author, designer, and developer Tiffani Barner, whose creativity and technical vision brought the Da Vinci Tutor to life in Unity and Convo.ai. From custom rigging to historical fidelity and accessibility features, her work was the backbone of this project. 🔑 Three key takeaways from the study: 💡 Contextualized AI avatars can deepen student engagement and support multimodal learning in disciplines that rely on visual, interpretive, and historical reasoning. 💡 Accessibility and personalization matter—VR and desktop versions supported ADA compliance, voice-to-text, and screen reader compatibility, but platform limitations (esp. macOS) require further work. 💡 Humanities need their own AI solutions—most AI tools are designed for STEM. This project demonstrates the unique potential for generative pedagogies tailored to humanistic inquiry. #AIinEducation #HumanCenteredAI #DigitalHumanities #ArtHistory #EdTech #XR #GAI #Unity3D #InclusiveDesign #DaVinciTutor #LindenwoodInnovation #TiffaniBarner

🔬 From Precision Medicine to Precision Learning: AI Can Accelerate the Future of Education In a session I attended this morning on the future of education, I shared a point that deeply resonates with my pharmacy background: Just as precision medicine tailors treatment to each individual patient based on their genetics, education must now evolve in the same direction, which we can safely call it "precision Learning". And AI is the catalyst enabling that shift. Yes, AI can allow us make the learning journey more personalized, by: ✨ Identifing individual learning patterns ✨ Providing tailored content and support ✨ Predicting areas of struggle before they appear ✨ Customizing assessments that reflect true competency ✨ Helping students learn in ways that truly work for them This is not about replacing us as educators, but about amplifying our impact; ensuring every learner receives the right challenge, support, and moment of intervention, just as precision therapeutics deliver the right drug at the right dose to the right patient. Education is shifting from mass instruction to precision learning ecosystems. And as educators, we have both the opportunity and the responsibility to guide this transformation thoughtfully and ethically. The future of learning is not just digital. It’s personalized. And AI is what will make it real. #AI #Education #PrecisionLearning #Leadership #Innovation #FutureOfLearning

I spent 30 days learning with ChatGPT. No coach. No course. Just me and the AI Here is how to do same 01. Skill Clarity & Goal Setting "You are a world-class learning strategist. Your task is to help me define a clear, motivating learning goal for [insert skill], based on my background: [insert your background, e.g., student, busy professional, etc.], personality: [insert learning style or preference], and outcome: [insert desired result]." 02. Skill Breakdown & Sequence "Act as an expert instructional designer. Break down [insert skill] into essential sub-skills for someone who is [insert experience level]. Use the 80/20 rule to prioritize high-impact areas. Then, organize them in the most effective sequence for fast, sustainable learning." 03. Personalized Learning Roadmap "You are a top learning architect. Build a personalized 12-week roadmap for mastering [insert skill], tailored to someone who learns best through [insert style: visual/audio/dialog/etc.], has [insert time availability], and wants [insert goal, e.g., freelance, job-ready, hobby-level mastery]. Include weekly milestones and resources." 04. Practice & Feedback Design "You are a deliberate practice expert. Design a practice routine for [insert skill] with feedback loops, real-world application, and challenge levels tailored to my current level: [beginner/intermediate]. Ensure it fits into a [insert time commitment, e.g., 1-hour/day] schedule." 05. Progress Tracking & Plateau-Busting "You are a learning progress strategist. Help me build a simple system to track my growth in [insert skill] over [insert duration]. Include weekly check-ins, milestone markers, and a plan to overcome motivation dips or plateaus based on my habits: [insert habit tendencies]." 06. Advanced Mastery & Integration "You are a mastery and creativity coach. I’ve reached an intermediate level in [insert skill]. Create a roadmap to reach advanced levels and apply the skill creatively in [insert career/hobby field]. Include options to teach others or combine with other skills I have." -------------------------- If you want more tips and insights about AI, join - my newsletter that teaches you how to leverage AI 👇https://lnkd.in/edj3CsFu 🔄 REPOST to help others know this. 👉 Follow me Awa K. Penn for more.

AI isn't replacing teachers—it's freeing them. From grading papers to becoming genuine mentors. From lecturing crowds to guiding individuals. Here's how teachers with AI are helping kids LOVE school: Traditional classrooms haven't changed in 100 years—one teacher lecturing to 30 kids with wildly different abilities. I've seen 6th-grade classes where math skills range from kindergarten to sophomore level—all in one room! What textbook works for everyone? (Spoiler: none of them) One-size-fits-all education fails most students. And this is where AI changes everything. AI tutors meet each student exactly where they are. Whether a struggling learner or a gifted prodigy, AI provides truly personalized, self-paced learning. It adapts content to match their interests and learning style. Learning becomes actually interesting again. But teachers aren't disappearing—their role is evolving into what we call "Guides." Instead of drowning in paperwork and endless lecturing, they focus on: • Building meaningful relationships • Providing emotional support • Cultivating intrinsic motivation • Helping develop life skills The results are transformational. One shy 5th grader used AI to practice public speaking privately, receiving objective feedback on delivery and intonation. Six weeks later? He presented confidently to the entire school while his parents watched in tears. The secret is that AI built up his skills and confidence without judgment. By the time he faced a human audience, the fear was gone—he'd already mastered the skill. AI has infinite patience. It doesn't care if a student is rich or poor or how quickly they grasp concepts. It meets them exactly where they are—raising the floor while removing the ceiling of what's possible. My vision is simple but revolutionary: every child deserves access to personalized AI learning. Not to replace teachers, but to transform their role. Not to minimize human connection, but to enhance it. To make school a place kids genuinely WANT to be. The barrier isn't technology—it's our willingness to reimagine how education works. Simply adding AI to the existing model won't work. We must completely redesign the school day, creating space for both efficient learning AND human development. After a decade of testing this model across multiple schools, I can tell you with absolute certainty: The future of education is brighter than we've ever imagined—for those brave enough to embrace it.

I know everyone is tired of hearing about AI generated content for L&D, but can we talk about it for a moment? We’re on the verge of a massive shift in how learning content is created and delivered - enabling a personalized learning experience. As I mentioned in a post earlier this week, headless applications are paving the way for agents to create custom content that meet associates where they are in their learning journey. I had multiple conversations at DevLearn with vendors who are laying the foundation to make this possible. With Generative AI capabilities, these tools can tailor content based on identified skill and knowledge gaps, attitudes, persona information, deliver it in preferred channels, and even enhance accessibility while reducing bias. Add in the ability to create custom learning paths that guide associates through exactly the right sequence of content, and the potential impact becomes even greater. But scaling this level of personalization raises questions 🤔: How do we manage and track the countless individual assets being created? How do we ensure the business impact of personalized content is measurable? Traditional LMS platforms may not be equipped for this scale, which begs the question: Do we need entirely new systems to handle personalized learning asset management? How do we ensure proper segmentation and representation? And, perhaps most importantly, should all personalized content even be tracked? These are critical challenges we must address as an industry. Finally, personalized media experiences could further enhance engagement. Tools like Notebook LM already enable the creation of tailored podcasts based on specific information. Listen to my podcast on Personalized Learning with GenAI: (https://lnkd.in/eu84XvBG) Imagine combining this type of experience with custom learning paths and chatbot integration to create an ecosystem that motivates associates, supports performance, and drives learning outcomes—all delivered in the channels they prefer. We’re entering an era where scalable, tailored learning solutions—powered by AI—could redefine the L&D landscape. I’m excited to see how these tools evolve and how organizations adapt. What’s your take? Are you starting to see these trends surface in your organization?

The Bertrand Education Group (B.E.G) believes education should be as adaptive as the students we serve. 🚀 "Every student learns differently, but our system treats them the same." This insight drove the development of PrepAI's personalized approach to education. Our Impact in the $187B EdTech Market: 1. Personalized Learning at Scale: - Tailored pathways for each learner - 23% improvement in academic performance - Adaptive content delivery - Real-time progress monitoring 2. Empowering Educators: - 37% initial efficiency gains for teachers - Reduced administrative workload - Enhanced instructional focus - Data-driven teaching strategies 3. AI-Powered Assessment Innovation: - Generate adaptive assessments 12x faster - Reduce manual workload by 79% - Comprehensive student insights - Continuous improvement metrics 4. Global Access & Economic Mobility: - Implementation across U.S. and Indian institutions - Cross-cultural adaptability - Democratized quality education - Pathways to opportunity regardless of background In partnership with Microsoft for Startups and Qatar Foundation, we're transforming education through technology that unlocks human potential. What educational challenges do you believe AI can help solve? Share your thoughts below. #EdTech #AI #Innovation #PrepAI #PersonalizedLearning #FutureOfEducation