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Created by Anirudh Shrikanth
Learn how Direct Instruction-style thinking turns multiple-choice distractors into diagnostic tools that reveal student misconceptions. You’ll build from reading errors as evidence to designing minimal-contrast, boundary-testing, and misconception-based distractors across math, science, and ELA. By the end, you’ll be able to draft and audit MCQs where every wrong option points to a specific reteach move.
8 modules • Each builds on the previous one
Clarify the Direct Instruction view that distractors are not decorative difficulty; they are engineered to reveal predictable misunderstandings and guide reteaching.
Learn how DI models many wrong answers as outputs of an internal ‘faulty rule’ (misapplied generalization) rather than random mistakes, and how to encode those rules as distractors.
Use DI discrimination training: create items where the correct response is separated from distractors by one critical feature at a time (minimal contrasts), so you can pinpoint exactly what students can’t discriminate yet.
Learn how DI uses non-examples to define what a concept is not, and how to turn boundary cases into distractors that reveal category confusion (especially in ELA).
Separate items that test a procedure/algorithm from items that test a concept/relationship, and learn how distractors differ for each (algorithmic missteps vs conceptual models).
Design distractors that catch students over-applying a simple rule (surface cue) in language arts—like ‘-ly means adverb’—by using near-miss non-examples and function-based contrasts.
Use common science misconceptions (wrong relationships, wrong causal models, unit confusion) as distractors, with a focus on grades 3–8 topics like density, forces, energy, and earth science.
Combine DI foundations, faulty rules, discrimination training, non-examples, and construct alignment into a repeatable workflow for writing MCQs in math, science, and ELA for grades 3–8.
Begin your learning journey
In-video quizzes and scaffolded content to maximize retention.