Customizing Training for Different Learning Styles

Transforming Frontline Sales Training: A Digital Leap Forward Excited to share my key learnings in co creating a digital learning platform tailored for frontline sales colleagues. This initiative has given me a bundle of experiences in how we approach sales training, offering a flexible, interactive, and impactful learning experience. Key Learnings: Start with the End in Mind: Aligning the learning objectives with business outcomes ensures that the training is relevant and impactful. Embrace a Blended Learning Approach: Combining digital content with face-to-face interactions enriches the learning experience and caters to different learning styles. Role of AI and Gamifications: Gamifications through Interactive quizzes and activities not only make learning fun but also help in retaining knowledge and applying it in real-world scenarios. Role of AI in simulations and role play scenarios indeed create engagement for learners. Measure and Adapt: Continuously measuring the impact on business metrics and adapting the content ensures that the training remains effective and up to date. Collaborate for Success: The partnership between the training team and business is crucial for creating content that resonates with the learners and addresses their needs. This journey has been a testament to the power of digital transformation in the learning and development space, and I’m proud to be a part of a team that’s pushing the boundaries of traditional sales training. #DigitalLearning #SalesTraining #FrontlineSales #Innovation #LearningAndDevelopment.

How AI can assist Neurodivergent individuals: Neurodiversity celebrates the vast range of human cognition. Technology—especially AI and Large Language Models (LLMs)—can play a pivotal role in creating more inclusive environments. 🚀 1. Streamlining communication 📱💬 Some people face communication challenges. AI-powered tools can offer much-needed support: Text-to-speech and speech-to-text tools simplify communication by reducing the effort needed to read or write. 📖🎧 Conversational AI provides a platform for practicing social interactions, building confidence, and reducing anxiety in real-life situations. Transcriptions from meetings Live captioning and signing 🗣️🤝 2. Enhancing organisation and focus 🧠📅 AI can help: Task management apps assist with organising daily tasks and breaking them into manageable steps. 🔄✅ AI-driven scheduling tools with visual aids help with planning and task execution. They can summarise and organise ideas into sections and provide headings 🗓️🔔 3. Supporting learning and literacy 📝🎓 AI-driven platforms offer real-time spelling, grammar, and readability feedback, improving clarity and confidence. 🖋️📚 AI-powered math tools break down complex equations into simple, step-by-step explanations, reducing math anxiety. ➕📐 4. Encouraging sensory modulation 🎧🌈 Noise-cancelling apps and customisable soundscapes reduce sensory overload. 🌿🎶 AI-driven wearables can track and provide feedback on body movements, improving coordination. Provide a means of practising training in virtual environments in own time🏃♀️🤖 AI holds immense potential for assisting neurodivergent individuals, offering tools that accommodate diverse ways of thinking and learning. These technologies aren't just about accessibility—they're about empowerment. 💪🌈 What do you use that has helped you in your work? I am certainly using these tools to speed up processes that used to take me hours to complete. #AI #Neurodiversity #Inclusion #Accessibility #TechnologyForGood

From chatbots that personalize microlearning to systems that predict who’s likely to disengage, artificial intelligence (AI) is changing how we train and learn. AI opens new opportunities to improve on some of the challenges with traditional training models such as scalability, personalization and real-time feedback. Core AI applications in the L&D space can be broken down into four categories: Artificial Intelligence (AI) Platforms: These tools tailor difficulty, pacing and topics in real time. An AI-enhanced platform can tailor the content to the learner based on their performance trends. Natural Language Tools: These are used to summarize content, create quizzes and provide conversational coaching. These applications can reduce time spent on administrative tasks and increase the focus on building relationships and delivering value. Predictive Analytics: This category of tools help learning leaders identify skills gaps and forecast learner success. Virtual Coaches and Chatbots: These tools reinforce knowledge through spaced repetition and feedback loops. AI-Powered Learning: A Case Study Streamline Services is a fifth-generation plumbing, electrical and HVAC company that handles up to 200 calls a day and serves thousands of customers each month. The company is using AI to not only coach employees but also identify areas where the team needs skills development or training. Streamline adopted an AI-powered virtual ride along platform to help transform everyday customer interactions — both in the field and in the call center — into powerful, data-driven learning opportunities. Traditionally, managers and trainers could only coach based on a handful of ride alongs or recorded calls each month. With AI, every service visit and customer conversation has become searchable, analyzable and coachable. AI highlights key themes including customer concerns, missed opportunities and tone shifts, allowing trainers to see real patterns instead of isolated incidents. The training team and managers use this knowledge to design training and structure coaching for individual needs. Because AI is deepening Streamline’s understanding of customer needs, the L&D team can develop targeted training that improves customer service and empathy across the company. Streamline’s experience illustrates how AI is fundamentally changing the learning process — from reactive coaching based on limited observation to proactive, personalized development powered by real data. This case study showcases how technology can elevate human performance rather than replace it. AI offers the ability to provide more learning opportunities and personalized learning across roles and industries. L&D professionals need to embrace this change and evolve alongside the technology. The future of learning isn’t artificial — it’s intelligently human. #LearningandDevelopment #AI #FutureofLearning

One of the key areas where you can truly harness the power of AI in education is differentiated instruction. According to Smith et al. (2007), “The core of DI [differentiated instruction] is a broad framework that offers multiple approaches to meeting learners’ needs […] Teachers who practice DI modify their instruction to address that diversity and to meet curricular objectives.” (p. 6) I find this quote captures the essence of differentiation perfectly: differentiation isn’t about doing more, it’s about doing things differently, with purpose. And this is exactly where AI tools like ChatGPT can step in and make a difference. They allow us to adjust instruction in real time, tailor resources to student needs, and add flexibility to how we teach and assess. In this quick visual guide, I share 8 practical ways to use AI to differentiate instruction, all grounded in the principles of DI. These include: 1. Adapting text to different reading levels 2. Presenting content in multiple formats 3. Asking for differentiated strategies 4. Using analogies and real-life examples 5. Generating visuals in diverse styles 6. Designing varied assessments 7. Producing audio versions of texts 8. Building tasks around student interests Each tip comes with a ready-to-use prompt you can take directly into your classroom. Check out the guide for more details! Reference: Smith, G. E., International Society for Technology in Education., & Throne, S. (2007). Differentiating instruction with technology in K-5 classrooms (First edition.). International Society for Technology in Education.

What the Research Says About Bloom's Two Sigma: Leveraging Technology to Support Learning Building on our previous discussions of Bloom's work, https://lnkd.in/empuZ6v2 Today I want to explore how modern technology, including the use of AI, can help teachers implement key principles from tutoring research in their classroom practice. Digital tools can enhance several key aspects of the learning process, though each comes with its own limitations. Automated formative assessment systems can provide immediate feedback and track student progress, but often struggle to understand the subtleties of student thinking or provide the kind of nuanced explanation that an experienced teacher can offer. Learning management systems can help track progress and identify patterns, but may miss important contextual factors that human teachers naturally consider. Personalised learning pathways represent another promising application for AI technology. Adaptive learning platforms can adjust content difficulty and pacing based on student performance, and digital content libraries can offer multiple approaches to learning concepts. However, these systems typically lack the emotional intelligence and intuitive understanding that allows human tutors to recognise when a student is confused, frustrated, or needs encouragement rather than just more practice. Enhanced feedback mechanisms through technology can support learning in valuable ways. Digital portfolios, audio/video feedback tools, and automated writing feedback systems can increase the frequency and immediacy of feedback. Yet these tools often struggle with complex or creative responses, and cannot replicate the motivational impact of personal encouragement from a teacher who knows their students well. The research shows that successful technology integration depends heavily on thoughtful implementation strategies. Simply providing access to technology tools isn't enough - teachers need support in integrating these tools effectively into their practice. Professional development, technical support, and time for planning are all crucial factors in successful implementation. Looking ahead, emerging AI tutoring systems show promise in replicating more aspects of one-to-one tutoring. However, even the most sophisticated systems currently available still lack the deep understanding of individual students' needs, interests, and challenges that skilled teachers develop. The most effective approaches combine the scalability and consistency of technology with the irreplaceable human elements of teaching. Professor Rose Luckin Institute of Education, University College London Educate Ventures Research Limited #SkinnyonAIED #AI #EdTech #Edchat #Leaders #innovation #technology #Learning #Students #Teaching #Edreform #AIED #AITutoring #EducationalDesign #EducationalDesign #TeachingAndLearning For more thoughts like this read the skinny here https://lnkd.in/gTaNTRkb

ILT, VILT… and now AILT? Welcome to the next era of learning. I have built blended learning approach for 25 years. Instructor-led training (ILT) and its virtual version (VILT) remain valuable pillars in corporate L&D. But they often hit operational limits: scheduling, facilitator capacity, personalization, and cost. At Edflex, we believe the future lies in a new format: AILT – AI-Led Training. We’re entering the agentic era—where AI doesn’t just assist, it acts, adapts, and accelerates human learning. By combining advanced instructional design with generative AI, AILT enables dynamic roleplays, instant coaching, and contextual feedback—delivered at scale, in real time, and in the learner’s native language. Why does this matter? Because AILT unlocks 5 critical ROIs for modern L&D leaders: - Scalability – No more bottlenecks. Thousands of learners can benefit from expert-level simulations and guidance simultaneously. - Personalization – Each learner receives tailored feedback and scenarios, matched to their role, level, and learning path. - Engagement – AILT complements our 25+ content formats (podcasts, videos, labs, top voices…) to create dynamic, multimodal learning journeys. - Performance Impact – Focused practice and AI coaching accelerate behavior change, making soft skills and leadership training more actionable. According to the National Training Laboratories research, the average retention rate for active practice through role-play is 75%, compared to 5% for lecture-style learning and 10% for reading. - Language Inclusivity – AI delivers in the learner’s own language, making global upskilling more accessible than ever. 🚨It’s a powerful breakthrough. But it’s not plug-and-play. To make AILT truly effective, you need: - Mastery of prompt engineering to shape relevant, safe, and high-impact interactions - Deep instructional design expertise to structure realistic scenarios that drive learning - Strong SME support to validate content and ensure business alignment - A robust feedback loop to test, improve, and monitor every roleplay for quality - Full compliance with GDPR and local data regulations to ensure responsible, transparent AI usage - Technical integration capabilities to securely embed AILT into your ecosystem (SSO, LMS, analytics, etc.) This is not “just ChatGPT in a box.” It’s a new learning architecture—designed, curated, and deployed with precision. And the best part? AILT is already live in the Edflex catalog — ready to enrich your programs with one of the most promising formats of the decade. 500 roleplays has been delivered for managers, sales rep, finance or HR employees... The future of learning isn’t just digital. It’s intelligent, adaptive, and human-centered. Let’s explore it together!

EEG technology is changing the way we learn by tailoring education to individual needs. By tracking brain activity like engagement, stress, and cognitive load, EEG can help Intelligent Tutoring Systems(ITS)—AI-driven personal tutors—adapt lessons in real time. In one study, EEG data revealed whether students were more engaged with animated videos or human teachers. That enables the ITS to customize content for better focus. EEG can even detect signs of fatigue or frustration, prompting breaks to reduce stress and improve comprehension. This integration of neurotech and AI makes learning smoother and more effective.

Traditional video-based learning is broken. Why? Because it doesn’t work. 📉 87% of employees find traditional video learning passive and disengaging. Yet, companies still churn out hours of recorded content, hoping employees will sit through it. (Spoiler Alert🚨: They won’t.) But this year marks a turning point. Here’s what’s rewriting the rules: 🔥 1. AI-Powered Personalization → Learning That Adapts to You Training shouldn’t feel like a lecture—it should feel like Netflix. AI-driven learning dynamically adjusts content to your pace, knowledge gaps, and career goals—so every session feels relevant. Imagine a world where training meets you exactly where you are. 🖥️ 2. Interactive Learning → No More “Press Play & Pray” The old approach? Passive videos. The new approach? Searchable transcripts, in-video quizzes, real-time feedback. One company we worked with saw completion rates jump from 31% to 78% just by making their training videos interactive. Because when learning feels like a conversation, not a monologue, people stay engaged. 👥 3. A Workforce That Won’t Settle for Less Millennials and Gen Z make up 75% of today’s workforce—and they expect learning to mirror their digital lives: 📲 Fast. 💡 Engaging. 🎮 Interactive. They don’t want to just watch. They want to participate. 🚀 My Takeaway? The future of video learning isn’t about making better videos. It’s about making video learning better. Companies that understand this aren’t just upgrading their training. They’re transforming how knowledge is transferred. Which side of the change will you be on? #FutureOfLearning #LearningInnovation #EdTech #L&DTransformation

A [new] Comprehensive Guidelines for Generative AI in Education The Ministry of Education, Saudi Arabia an Data & AI Authority (SDAIA) have released groundbreaking guidelines for implementing generative AI in education, providing clear frameworks for all stakeholders in the educational ecosystem [via https://lnkd.in/eXGUPupi] 5 uses of how AI will be integrated to support education: 1. #PersonalizedLearning and #Tutoring: AI-powered platforms, such as #ChatGPT and IBM Watson Talent - Business Partner is now High Performance Profiling , can support students by providing tailored explanations, exercises, and feedback based on their learning patterns. These tools adjust to individual needs, helping students who require additional support or offering more advanced material for those who progress quickly. 2. #AutomatedAssessment and #Feedback: AI can assist teachers by grading assignments, offering feedback, and identifying potential instances of plagiarism. Tools like Microsoft Copilot can evaluate written responses and suggest areas for improvement, which may help reduce the administrative workload and allow teachers to focus more on student interaction. 3. #AI-Assisted #Content #Creation: Educators can use AI tools to help generate lesson plans, quizzes, and multimedia materials. Generative AI models can assist in creating interactive content, such as educational simulations or explanations adapted to different learning styles, supporting classroom instruction. 4. #Early #Detection of #Learning #Gaps: AI systems can analyze student performance data to identify areas where additional support may be needed. Adaptive learning platforms, like those referenced in North Carolina’s AI education framework, suggest targeted exercises or resources that can help students reinforce their understanding of key concepts. 5. #Enhancing #Accessibility and #Inclusion: AI-powered tools, such as speech-to-text, text-to-speech, and real-time translation, can support students with disabilities or language barriers. UNESCO’s AI guidelines highlight how these technologies can help create more inclusive learning environments, making educational materials more accessible to a diverse range of learners. [N.of.A. Despite all these announcements, the report also emphasizes the need to build a stronger evidence base in this field. It calls for rigorous research, pilot programs, and longitudinal studies to assess AI’s effectiveness in improving learning outcomes, its potential biases, and its impact on teaching practices]

(AI helps to accommodate) Different learning style. Teaching a new course this semester, and tried experimenting with creating different versions of each lecture: - Text (textbook chapter) for those who prefer to read - Video lecture for those who prefer to watch - Audio lecture for those who prefer to listen - Audio podcast --- same content, but in the form of an AI-generated podcast - Slides (deliberately detailed, can be read as notes) - Self-assessment quiz after each lecture - Additional readings for those who want to learn more. After creating 7 different types of resources/delivery methods for each of the first several lectures, I surveyed my students, asking: - Which of these do you use (from never to always)? - Which of these do you like (from not at all to love very much)? I hoped everyone loves one method and never uses other channels, in which case I can create only textbook chapters or only video lectures for the remaining topics to be covered in the course. Alas, the results are as mixed as they get. Some students love reading the textbook and never watch video lectures. Others always listen to audio lectures but never read the textbook. Some love self-assessment quizzes, others hate them. Some only look through the slides, others love additional readings. It takes an enormous amount of time to create seven versions of the same lecture, but I'll have to do it to accommodate every learning style of my students... ____ TIPS: 1. Create slides and record a video lecture, making sure you provide enough details on every diagram for those who are only listening. 2. Record a video lecture (MP4). 2. Render an audio-only version (MP3). 3. Extract the script of the lecture, and using AI create a book chapter. Best to start with creating a detailed outline, then writing each subsection separately. It will take many rounds of polishing and editing, but as long as you instruct AI to stick as close as possible to your original delivery style, the textbook chapter will be authentically yours, a textbook chapter of your video lecture recording. Add pictures from your slides. 4. Use NoteLM to generate a podcast version of your lecture based on the full transcript of your video lecture. Instruct AI not to miss any detail from your video lecture. You may have to edit it afterwards to ensure the content closely reflects your original lecture. 5. Using AI, generate self-assessment questions and the scoring key with a detailed explanation of each answer. Carefully review every question. I normally discard about 70% of the questions, and even those I keep, I usually have to edit to ensure a close fit with my original lecture. 6. The slides are mine, and the additional readings are my own collection. AI is not helpful with these yet.