Samuel Doyle, M.S., HPT’s Post

AI Revolutionising E-learning! Excited to share my latest article published by Training Industry, Inc. : "Empowering Learning: How AI is Revolutionising eLearning Through Personalisation and More!" https://lnkd.in/eQkGPnyH. Gone are the days of one-size-fits-all training! This article explores how Artificial Intelligence is injecting a powerful dose of personalisation, engagement, and effectiveness into the learning experience. Discover the benefits of: ✔Personalised Learning Paths: Tailoring the journey to individual needs & goals. ✔Intelligent Chatbots & Virtual Assistants: Always-on support for continuous learning. ✔AI-powered Content Creation: Automating tasks for a streamlined development process. ✔Adaptive Learning: Responding to individual needs in real-time for deeper understanding. Let's unlock the full potential of eLearning! #elearning #AI #personalizedlearning #learninganddevelopment #CheckItOut and share your thoughts in the comments!

The Importance of Human Touch in Gen AI for Learning Experience Design Gen AI, with its ability to produce content, holds promise for transforming the learning experience designer (LXD) role. But, amid the excitement surrounding gen AI, it's important to recognize that the human touch remains irreplaceable in creating content. Here's why: Creativity & Innovation While gen AI algorithms excel at creating content based on existing patterns and data, they lack the inherent creativity and human innovation. The LXD brings a unique perspective, intuition, and creative flair to the process. They possess the ability to conceptualize abstract ideas, and infuse learning materials with elements that resonate emotionally with learners. Contextual Understanding Understanding the nuances of learning contexts, cultural sensitivities, and learner demographics requires human insight and empathy. LXDs possess the ability to contextualize learning content, tailoring it to meet the diverse needs and backgrounds of learners. This contextual understanding is crucial for creating inclusive and culturally relevant experiences that resonate with diverse audiences. Pedagogical Expertise Effective learning experience design goes beyond content creation; it involves the application of pedagogical principles and instructional strategies to facilitate meaningful learning experiences. LXDs bring pedagogical expertise to the table, understanding how learners acquire knowledge, retain information, and engage with material effectively. This expertise enables them to design experiences that align with educational objectives and promote deep learning. Ethical Considerations Gen AI operates based on algorithms trained on vast datasets, raising ethical concerns regarding copyright infringement, biases, inaccuracies, and privacy issues. LXDs can ensure that AI-generated content adheres to ethical standards and aligns with learning values. LXDs evaluate content, identify potential biases, and mitigate ethical risks to ensure the integrity and fairness of learning experiences. In some cases, due to confidential information being sourced in the development process, LXDs cannot use gen AI tools at all. Adaptability & Iteration Learning experience design is an iterative process that requires continuous refinement and adaptation based on feedback and evolving needs. LXDs possess the ability to iterate, experiment, and adapt learning content in response to changing circumstances. While AI algorithms can automate certain aspects, human intervention is essential for refining, optimizing, and iterating on content to enhance its effectiveness. While gen AI offers opportunities to streamline content creation and enhance learning experiences, it's important to recognize that the human touch remains irreplaceable. By combining the strengths of AI technology with human expertise and creativity, LXDs can leverage gen AI to create more engaging, personalized, and effective learning experiences.

This article discusses the integration of technology, particularly AI and microlearning, into instructional design for curricula and training programs. AI enhances personalized learning experiences, adaptive pathways, instant feedback, automated video creation, and data analytics. This shift has changed how instructional designers consult and propose learning solutions, requiring them to design and develop materials compatible with new technologies. Embracing these advancements revolutionizes the instructional design industry, making training more impactful and efficient in the digital age.

AI: Changing the Game in Corporate Learning! Traditional teaching methods are no longer effective in the workplace. That's where generative AI comes in. With AI, learning becomes more efficient, personalized, and effective. It revolutionizes corporate learning! Key Takeaways: - AI will revolutionize corporate learning, providing personalized and effective training solutions. - Generative AI can consolidate and deliver information in ways that traditional methods cannot. - AI-driven learning enables learning in the flow of work, making it more efficient and effective. - AI-powered platforms offer highly personalized and adaptive learning experiences. - AI optimizes learning and cost savings by automating content creation and personalization. Are you ready to unlock the power of AI in corporate learning? Discover more in our latest blog post. Click the link to read the full article and stay ahead in today's fast-changing world of learning!

How can the concepts of Zone of Proximal Development, Experienced Other and Authoring be used to redesign learning to incorporate GPTs – discuss in relation to a specific module that you have studied? DRAFT/STUDY TIPS: Redesigning Learning with GPTs: Integrating the Zone of Proximal Development, Experienced Other, and Authoring Introduction The rapid advancement of artificial intelligence (AI) and its integration into various educational contexts have necessitated a rethinking of traditional learning paradigms. Among the most promising AI tools are Generative Pre-trained Transformers (GPTs), which offer vast potential to enhance and transform educational experiences. To effectively harness the capabilities of GPTs, it is essential to integrate foundational educational theories that support scaffolded and personalized learning. This paper explores how the concepts of the Zone of Proximal Development (ZPD), Experienced Other, and Authoring can be employed to redesign learning modules to incorporate GPTs, thereby creating more dynamic and supportive educational environments. The analysis will focus on the application of these concepts to a specific module: Advanced Writing and Composition. Theoretical Framework Zone of Proximal Development The Zone of Proximal Development, introduced by Lev Vygotsky, is a foundational concept in educational psychology. It refers to the range of tasks that a learner can perform with the guidance and support of a more knowledgeable other but cannot yet accomplish independently. This concept emphasizes the importance of scaffolded learning, where instructional support is gradually removed as the learner gains proficiency. By identifying the ZPD, educators can tailor their instructional strategies to provide appropriate challenges and support, optimizing the learning experience.

Between sourcing and producing voice over recordings, keeping learning content fresh, and making sure all learning materials are translated, accessible, and compliant, there's a ton of room for inefficiencies to disrupt and slow your learning authoring processes. Not to mention a LOT for learning authors to try to stay on top of with limited time and resources. Here’s a breakdown of what inefficient learning authoring processes cost your business in both qualitative and quantitative measures. #contentauthoring #enablement #employeetraining #ai

Training environment use of AI will significantly enhance the learning experience by utilizing user application history to tailor questions and test understanding. Things to consider - 1. Data Collection: AI systems gather data from various sources, including pre-assessment quizzes, past course completions, and interactions within the platform. As well as how others use the application. 2. Analysis: The AI analyzes this data to identify patterns, strengths, weaknesses, and progress in the learner’s journey. 3. Customized Learning Paths: Using the insights gained, AI algorithms create personalized learning journeys, adapting the content and difficulty level to the user’s needs. 4. Question Generation: The AI then generates questions that are aligned with the user’s knowledge level and learning objectives. 5. Interactive Feedback: As users interact with the training material, the AI provides real-time feedback, helping them understand concepts better and reinforcing learning. 6. Continuous Improvement: The AI continuously updates the training material based on the user’s performance, ensuring that the learning process remains challenging and effective4. By leveraging AI in this manner, training programs can become more dynamic, responsive, and effective, leading to a deeper understanding and retention of knowledge. This approach not only personalizes the learning experience but also scales the training efforts efficiently, accommodating diverse learning styles and paces. From https://lnkd.in/gJJpufng #AI #AIinTraining #InteractiveLearning

🤖 Artificial intelligence is revolutionizing eLearning. 📊 With data analysis, platforms can personalize learning paths and predict student outcomes. ☝️ This technology helps improve course effectiveness, but it's important to manage personal data carefully and balance AI with human intervention. Read the full article 👇 #AI #ArtificialIntelligence #eLearning #training

Remember the scramble to adapt to mobile learning? Get ready for another learning tech shift – GenAI is on the rise! Hey everyone, remember that feeling of excitement (and maybe a little overwhelm) when smartphones and tablets hit the scene and changed how we learn? Well, get ready for another learning revolution – GenAI is here! GenAI, or Generative AI, is a powerful new technology that's poised to transform the way we create and deliver learning experiences. It's not just about fancy content creation, though. GenAI has the potential to completely transform how we work as L&D professionals. But hold on, before we jump into the deep end, let's address the elephant in the room: AI anxiety. 😰 It's natural to feel some apprehension about new technology, especially one that might seem like it could replace our jobs. Here's the good news: GenAI isn't here to take over. Instead, it's here to be our superpower. Imagine having a digital teammate that can help you with tasks like: - Analyzing data to identify learning needs - Drafting engaging learning content - Personalizing learning experiences for individual learners Pretty cool, right? So, how do we prepare ourselves for this exciting new future? Here are three key steps... 1. Build Trust and Ease Anxiety 🔦 Talk openly and honestly about GenAI. Discuss its potential benefits and challenges as a team. 🔦 Focus on how GenAI can augment our skills, not replace them. We'll still need our human expertise in areas like instructional design and building relationships with learners. 2. Level Up Your Team's Skills 🔦 Become familiar with GenAI – what it is, how it works, and how it can be applied to L&D. 🔦 There are tons of resources available to help us upskill, like online courses and workshops. 🔦 Focus on building competencies like critical thinking, data literacy, and creativity – these will be essential for working effectively with GenAI. 3. Partner with the AI Experts 🔦 Organization might already have an AI governance team in place. Connect with them to understand the company's policies and best practices for using GenAI. The road to GenAI adoption can be exciting, but it's important to take it together. P.S. Have you had a chance to play around with any GenAI tools yet? Share your experiences (good or bad) in the comments!

Artificial intelligence (AI) is revolutionizing corporate learning and development (L&D) by personalizing learning experiences, enabling data-driven insights, and fostering continuous learning. AI-powered tools help create customized learning paths, analyze learner performance, and provide on-demand access to resources. By automating administrative tasks and offering scalable solutions, AI increases efficiency and reduces costs, maximizing the return on investment for training programs. Below is a blog post describing the benefits of AI-powered learning as well as some of the challenges that might exist in a corporate environment: