What is Coursensu?
Coursensu is a learning design platform built to empower Learning Designers and Instructional Designers to create learning experiences in a platform made specifically for them. Made by experts, as a professional tool with design workflows that are grounded in research. Work together in teams and use our additional AI co-pilot with clear and transparent contributions to give your next learning design a productivity boost.
Create in your space
Learning design is an evolving profession and discipline - but it lacks rich tools. Too much learning design happens in spreadsheets, documents and paper notes - or worse, not at all! Our aim was to fill the gap with a platform that intentionally facilitates a user-centric, learning design process. With Coursensu you create a detailed outline of the learning experience.
Design for learning
Design is a creative, evolving, iterative process - and we built a platform to accommodate this. Teams join the same space to work together, discuss possibilities and decide - all in a highly visible and productive way. Designs can become templates for reuse, but also templates can be added to any design then adapted to ensure they meet the intended learning outcomes.
Decide with purpose
Collaboration can be tricky - so we added features that help get designs signed-off and production ready. Instead of sending and collating many versions of a course, everything is centralised in Coursensu, including review and approval. All designs can be exported as a sheet or document so they are ready for course production teams or being built into the learning management system (LMS) or learning experience platform (LXP).
Built by experts
The founder, Matt Jenner, has created this platform from their own background in learning design, educational technology and digital product development. It is built in collaboration with professional learning designers from across the higher education and professional development sectors. Their insights inform platform concepts and their on-going usage and feedback drives feature iterations and the roadmap to ensure it remains a productive learning design platform. Every user is encouraged to feed into the development process.
Built for Learning Experience and Instructional Designers
Coursensu has been designed, and built, for learning design. It is not an adapted office or productivity platform. Every part has been designed and shaped with intent. Features exist because they will help ensure more meaningful learning experiences. There are some other platforms in this area but tend to focus on creating lesson plans, and don't cover the full scope as Coursensu does. Plus we continue to evolve and the more feedback we get, the closer we can remain to solving the biggest design challenges.
Grounded in research
Underneath the platform's hood is a repository of pedagogic methods, frameworks and best practice. We have an open, and evolving, library of over 1000 items in our pedagogy dictionary. This includes teaching, learning and assessment methods as well as many terms that can help you consider each step in the learning experience. These are baked into the design process, so a user can craft a learning design their own way - but draw from these methods to guide their design decisions. They can also explore the collection, learn new methods and favourite those which they intend to use in the future. In conjunction with this, the platform draws on Laurillard's conversational framework / learning types. These are commonly used in many learning design frameworks and have widespread utility as a core learning design principle. Other learning design processes are applied as needed within the platform, such as visually clear constructive alignment, to ensure content has purpose.
Collaborate with our AI co-pilot
We have a supportive 'co-pilot' in Coursensu. Users make active decisions to request AI as 'suggestions' to their course design decisions. AI is a powerful new addition to software and our way of integrating it makes it clear where, when and what was contributed by AI. We see this as an augmentation to the expert and an especially useful add-on, when requested.