Self-led quality control is about taking ownership of learning design standards before issues reach learners. Rather than relying on external reviewers or waiting for feedback from frustrated users, designers can use structured checks to improve clarity, accessibility, flow, engagement and alignment. This blog post outlines why quality matters, how to make it part of your workflow, and what to look for at different stages of course development.

Great online learning doesn’t happen by accident. It’s the result of intentional design; aligning content, outcomes, activities, and experience. But for many educators using Moodle, that design support isn’t always available. You're juggling course editing with content creation, assessment design and learner support, mostly without dedicated learning design support. That’s where the Course Companion comes in. It brings expert support directly into your Moodle course - for educators, SMEs, and teams to improve learning experiences at the exact moment they’re building them.

This blog post explores how AI in education is evolving beyond basic content generation. While AI tools can efficiently produce learning outcomes, personas, and quiz questions, their real value lies in what comes next. We examine the rise of AI learning agents that support educators by reviewing, aligning, and transforming content, even simulating browser actions to streamline digital workflows. The post highlights current limits, risks, and the skills needed to use AI responsibly. As AI capabilities rapidly expand, learning designs teams must adapt to stay effective. We offer practical guidance to help you move from content generation to a collaborative partner.

This post explores 10 ways to streamline your learning design workflow, from early ideation and blueprinting to AI-assisted content transformation, stakeholder alignment, and structured sign-off. It highlights how tools, processes, and mindset shifts can reduce friction, cut wasted time, and boost quality. Even high performing teams have room to improve. By focusing on where time is spent versus value created, you can unlock smarter, faster, and more scalable learning design system for the future.

Setting up an in-house learning design system today requires a clear focus on aligning your team, processes, and tools to the changing landscape of education and training. It starts with defining the purpose of your system, assembling the right people and roles, and selecting a flexible approach that allows for agile, collaborative design. Emphasising technology, AI, and innovative formats like microlearning and stackable credentials, this system should be built with scalability and sustainability in mind. To make a real impact, you must prioritise the learner, personalising their experiences and using feedback loops to continuously improve. Scaling your service means documenting successful patterns, ensuring shared ownership, and keeping space for experimentation and growth. By aligning your system with your organisation’s strategy and staying adaptable to new tools and formats, your team will be well-prepared for the future of learning and development.

AI agents offer a new wave of collaboration in education and workforce development. When deeply integrated into Learning Design Platforms (like Coursensu) and the LMS (like Moodle, Canvas or Brightspace), these agents help educators and designers improve quality and increase efficiency with personalised suggestions and actions. But real progress depends on thoughtful, ethical implementation and a strong human-AI partnership for a future of learning design and course development that deeply collaborative and highly productive.

Collaboration has always been a demanding but vital skill in both education and work. With AI entering the picture, we’re now adapting to a new kind of partnership; one that offers speed, consistency and insight, but lacks human nuance. To make the most of this, we need to rethink our collaborative habits and design environments where AI supports, rather than replaces, meaningful teamwork.

A learning design system combines people, tools, and shared practices to support the effective design of learning experiences. It relies on collaborative networks, aligned organisational support, consistent design approaches, and space for innovation and learning. With these elements in place, learning design teams are well-positioned to produce high-quality, scalable and responsive learning that meets the needs of modern learners and organisations.

Courses are a widely used format in learning, offering structure and clear outcomes. But they’re not always the best fit. This post explores the origins, pros and cons of course formats, alternative approaches like learning pathways and the impact of AI on future learning design. You’ll find practical comparisons, trends and tips for rethinking the default course model—and how to choose the right format for your learners.