Questioning and inquiry improves learning when it changes what a learner notices, checks and does next. Students, parents and teachers searching for questioning and inquiry, study skills, critical thinking, metacognition, inquiry, active learning, exam preparation and independent learning need a practical system rather than a slogan.
This eduKateSG workbook connects the topic to retrieval, feedback, evidence, error correction, transfer and subject learning across English, Mathematics and Science. The opening is deliberately search-rich while remaining readable: each concept is tied to a concrete learner decision rather than repeated as a keyword list.
The central proposition is capability transfer. A prompt, question or reflection is useful when it helps the learner build a decision that can later be made without the prompt. The exercises are original teaching material, not official examination questions or a guarantee of grades.
Your 50-second route
Choose the chapter nearest the current difficulty. Attempt something before reading the model. Identify the decisive relationship, check it, repair the first important gap and use it in a changed example. Return later without the original support. Do not complete every chapter merely for volume; move when the learner can reproduce the decision independently.
1. Questions expose knowledge gaps
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
2. Clarification questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
3. Definition questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
4. Evidence questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
5. Cause questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
6. Comparison questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
7. Prediction questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
8. Counterexample questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
9. Boundary questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
10. Assumption questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
11. Sequence questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
12. Mechanism questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
13. Source questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
14. Reliability questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
15. Reading questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
16. Vocabulary questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
17. Mathematics questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
18. Science questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
19. Writing questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
20. Discussion questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
21. Questions before searching
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
22. Questions after searching
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
23. Questions for AI tools
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
24. Follow-up questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
25. When a question is too broad
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
26. When a question contains an assumption
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
27. Closed and open questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
28. Teacher questioning
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
29. Student-generated questions
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
30. Wait time
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
31. Question ladders
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
32. From question to investigation
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
33. From answer to retrieval
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
34. Seven-day inquiry cycle
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
35. Twenty-minute inquiry session
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
36. Mixed question assessment
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
37. Teaching guide
Begin with evidence from a real or fictional task. Preserve the learner’s first response and ask what decision produced it. A useful explanation names the target, relationship, condition or evidence that controls the next step. If that knowledge is missing, teach it directly instead of asking the learner to guess repeatedly.
Use a near contrast to make the boundary visible. Change one important feature and ask what must change in the response. Then remove the model and require a fresh attempt. This separates recognition from generation and helps reveal whether the learner understands the principle or only remembers the appearance of the previous example.
Finish with transfer and a stopping rule. If the learner can use the idea accurately in mixed work, reduce explicit prompting. If the idea fails later, identify whether the problem is forgetting, a new representation, missing background knowledge or an execution slip. Practice should become more selective as control improves.
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Continue with How Curiosity Improves Learning, How Feedback Improves Learning, How Discussion Improves Learning, and the How X Works Hub.
Final checkpoint: inspect evidence, identify the decision, test the boundary, repair what is missing and return later without the original support. The outcome is independent judgement, not permanent dependence on a worksheet prompt.