Traditional e-learning systems offer learners factual and conceptual feedback, providing a rationale for the right answers and hints for the wrong ones. In contrast, simulation-based learning interventions that offer decision-making in a low-risk, high-fidelity context encourage learners to derive understanding through performance-specific feedback. This approach, which focuses on “consequences,” does the following:
- Displays the outcomes or consequences of learner decisions by showing them instead of telling them (unlike traditional diagnostic feedback that tells the learner what they got incorrect). Akin to real-world feedback, it gives the learner feedback in a relatable form with implications both immediate and remote.
- Delays the feedback so learners have time to reflect on their decisions and the outcomes of each, resulting in significant cognitive processing.
- Is mapped to specific decision outcomes and thus, to learning outcomes. It promotes a holistic view of the concepts and learners’ performances.
Read the whitepaper to know how a multiplicity of approaches to feedback—experiential, qualitative, quantitative—allow for reflection and understanding. The paper also highlights how these can address the contextual needs arising from myriad learning styles, profiles, and environments with greater efficacy.