Practical guidance for educators, training leaders, and case authors
The LiveCase learning design journal
The LiveCase blog explores how educators and training teams can move beyond passive content and create learning experiences built around choices, consequences, reflection, and discussion. Here you will find practical guidance on AI-powered case simulations, experiential learning, scenario design, business education, and the thoughtful use of artificial intelligence in teaching and professional development. Whether you are refreshing an established case method course or designing a new corporate programme, our aim is to help you make active learning clearer, more purposeful, and easier to put into practice.
Follow grounded analysis of generative AI, AI-supported teaching, academic integrity, and the changing skills learners need. We examine where AI can strengthen research, feedback, facilitation, and simulation design, while keeping educators responsible for learning goals, evidence, and judgment. The focus is not technology for its own sake, but useful ways to create richer practice and better classroom conversations.
Explore methods that ask learners to apply ideas rather than simply recall them. Our education articles cover scenario-based learning, case teaching, reflection, debriefing, participation, and the design of activities for MBA programmes, executive education, and workplace learning. Each topic connects learning theory with decisions an educator or facilitator can make when planning a session.
Read research-informed perspectives on engagement, assessment, decision-making, and the design of effective learning experiences. We look for evidence that can help teams choose appropriate formats, ask better evaluation questions, and understand what a simulation can and cannot demonstrate. Where a claim needs nuance, our goal is to make that uncertainty visible rather than turn it into a simple promise.
An interactive case simulation gives learners a situation to interpret, a role to inhabit, and decisions to make with incomplete information. Instead of receiving the whole answer in advance, participants see how the situation changes as choices are made. That structure can create a meaningful reason to analyse evidence, compare competing priorities, communicate a recommendation, and revisit an assumption when new information appears.
The simulation itself is only part of the learning design. Clear objectives, credible characters, well-timed information, and a purposeful debrief help turn activity into insight. Our articles break down those elements so authors and facilitators can decide when branching scenarios are useful, how to keep complexity manageable, and how to connect an engaging experience to the concepts or behaviours learners are expected to develop.
University faculty and case teachers can use these resources to rethink discussion-based sessions, build participation, and introduce AI without losing sight of academic purpose. Learning designers can explore ways to translate subject-matter expertise into scenarios with clear roles, constraints, and feedback. Corporate learning teams can consider how realistic decisions support leadership development, onboarding, compliance, sales practice, or other situations where judgment matters as much as information.
You do not need to begin with a fully developed simulation. A useful starting point may be a difficult conversation, a trade-off that experts routinely face, or a moment when a learner must choose what to do next. From there, the articles in this journal can help you investigate the audience, define the learning outcome, shape the case, plan the debrief, and decide whether AI adds genuine value.
Browse the latest posts below for practical examples, design guidance, and perspectives from the LiveCase team and contributing authors. Use the topic collections to focus on AI, education, or research, then follow individual author pages when you want more from a particular voice. The strongest learning experience is not necessarily the most complicated one; it is the one that gives people a relevant decision, enough context to think carefully, and a structured opportunity to explain what they would do and why.
