Digital Worked Example Sequence

What This Skill Does

Designs a worked example sequence optimised for digital delivery, incorporating self-explanation prompts, a systematic fading schedule, and interactivity design that exploits what digital environments offer beyond paper. The sequence moves students from studying complete worked examples (where every step is shown and explained) through faded examples (where progressively more steps are removed for the student to complete) to independent problem-solving. The critical insight from Renkl (2014) is that worked examples only produce learning when students actively process them, passive reading of worked examples is barely better than no examples at all. Digital delivery creates unique opportunities (self-explanation prompts at each step, immediate feedback on faded steps, adaptive pacing based on performance) and unique risks (split attention between screen elements, cognitive overload from multimedia, temptation to click through without thinking). The output includes the complete example sequence, embedded self-explanation prompts, a precise fading schedule, and digital design specifications. AI is specifically valuable here because designing an effective digital worked example sequence requires coordinating content design (the mathematical or procedural steps), cognitive design (fading schedule, self-explanation points), and interface design (how steps are revealed, where prompts appear, how feedback is given), three design dimensions that must be aligned.

Evidence Foundation