Where to start to innovate your teaching? But before that, what does it mean to innovate in the classroom? Designing Learning Innovation aims to put the designing culture at the service of learning innovation, supporting those who do not have a specific pedagogical background and those who wish to learn the basic tools of a good teaching design then to continue exploring the frontiers of innovation.A set of logical and methodological tools to innovate teaching, finding the most suitable approaches with one’s own vision of the teaching-learning experience. INTENDED LEARNING OUTCOMES (ILOs) If you actively participate in this course, at the end you will be able to: Use basic theoretical-methodological tools (such as Constructive Alignment and the Learning Innovation Network) to enhance teaching coherence between learning objectives, assessment methods and learning experiences; apply pedagogical frameworks of the active learning methodology to the design either an individual teaching module or an entire teaching path; evaluate advantages and disadvantages, in the field of your own teachings, of traditional evaluation approaches compared to the new assessment strategies, in particular those oriented to the formative evaluation; apply simple strategies for managing the active class in small, medium and large classrooms; designing and producing quality teaching materials also enhancing the availability of “Open Educational Resources”. THE MOOC-BOOK: MATERIALS AND ACTIVITIES The MOOC is realized in a strongly integrated way with the book “Designing Learning Innovation” published by Pearson (the english version is the translation of the italian one already published and accessible here https://www.bookrepublic.it/ebook/9788891926067-designing-learning-innovation-pearson/) In the course you will find video lessons and infographic articulated as in the book. You will also encounter different types of activities which will contribute to make your experience richer and more complete.

This MOOC is designed for university and school teachers, trainers, and educational decision-makers. Its aim is to provide logical and methodological tools to effectively integrate and enhance digital resources and technologies in classroom-based teaching.How can we design coherent and impactful learning experiences that strike a balance between in-person and online environments, between traditional classrooms and digital platforms? How can we manage the multiplicity of learning contexts made available by today’s "anytime, anywhere" paradigm? The Smart Learning Design 25 (SLD25) model allows us to break down the complexity of the learning process into its core components (learning events) and then reconnect them in a systematic way—enabling the design of engaging and effective teaching interactions aimed at achieving long-lasting learning outcomes. This MOOC was produced as part of the Edvance project – Digital Education Hub per la Cultura Digitale Avanzata. The project is funded by the European Union – Next Generation EU, Component 1, Investment 3.4 “Didattica e competenze universitarie avanzate". For a wider diffusion of the course, learning materials including texts, infographics, diagrams and videos were translated from Italian to English through Artificial Intelligence software. Therefore they may contain inaccuracies.

Being able to learn effectively has always been one of the most valuable skills, and today, the rise of Artificial Intelligence accessible to everyone makes it even more essential. The "Learning with AI" course will guide you through the discovery of key AI tools, such as Large Language Models (LLMs), and teach you how to leverage them through a structured approach, making your learning process more effective and personalized. Throughout this journey, you'll engage with stories of people like you—individuals eager to learn something new to achieve their goals.The course you're about to start is called AIMOOK (Artificial Intelligence Mentored Online Open Knowledge), a hybrid learning environment combining the AIbook and MOOC formats. This approach provides an interactive, flexible, and personalized experience powered by AI, featuring: Integrated AIbook – An interactive digital book with adaptive learning paths. AItivities – Hands-on exercises guided by the AIbook. Metacognitive Exercises – Critical reflections on the use of AI in learning. Infographics – Visual aids to enhance comprehension. Podcast with experts – Insights from international specialists. By successfully completing the course and passing the assessment tests, you'll earn an Open Badge, certifying your acquired skills. Total workload: 25 hours (including content, exercises, and independent study) The MOOC is divided into 3 weeks: Week 1 – The Power of Learning The first week introduces you to the power of learning, a crucial resource for tackling today’s challenges. You'll explore the Smart Learning Design (SLD) method, which structures learning events to make the process more effective, structured, and personalized. Additionally, you'll dive into the landscape of AI tools, such as Large Language Models (LLMs), and uncover their potential in enhancing learning. Week 2 – Steps of learning to learn The second week is structured into specific phases, each offering an opportunity to understand how your learning abilities work and how to enhance them with the support of LLMs. Each lesson will be based on real-life situations where students face different learning challenges. Through these scenarios, you'll discover how LLMs can become powerful allies in your learning journey. Practical examples will be paired with guided exercises using an AIbook (an AI-powered tool tailored to this MOOC's content) and reflective activities designed to help you develop your own "power to learn." Week 3 – Next Steps The third and final week unlocks the next level of learning. You'll explore advanced learning strategies enhanced by LLMs, and gain insights into the future of AI in education, from multimedia and multichannel functionalities to personalized responses. You'll also examine current limitations and the future directions of AI-powered learning.