cognitive
Comprehension
Recognise
cognitive
Comprehension
Recognize
cognitive
Comprehension
Restate
cognitive
Comprehension
Review
cognitive
Comprehension
Rewrite
cognitive
Comprehension
Study
cognitive
Comprehension
Summarise
cognitive
Comprehension
Summarize
cognitive
Comprehension
Transfer
cognitive
Comprehension
Translate
cognitive
Comprehension
Uncover
cognitive
Evaluation
Argue
cognitive
Evaluation
Assess
cognitive
Evaluation
Attach
cognitive
Evaluation
Choose
cognitive
Evaluation
Conclude
cognitive
Evaluation
Convince
cognitive
Evaluation
Decide
cognitive
Evaluation
Empower
cognitive
Evaluation
Estimate
cognitive
Evaluation
Evaluate
cognitive
Evaluation
Grade
cognitive
Evaluation
Improve
cognitive
Evaluation
Judge
cognitive
Evaluation
Justify

Estimate

An estimate is a predicted approximation of the time or resources required for a specific task or activity that an educator may include in a course outline.

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How to use in a learning design

In your next learning design, as a learning designer, you can incorporate the cognitive skill of 'Estimate' from Blooms Taxonomy by using the question stem "What is your approximation of." This can help learners develop their ability to make educated guesses and approximations based on available information. Actionable steps to use 'Estimate' in your design: 1. Introduce a scenario or problem that requires an estimation or approximation. 2. Encourage learners to analyze the given data or information. 3. Prompt them to make an educated guess or approximation based on the provided content. 4. Provide feedback on their estimates to help them improve their estimation skills. 5. Incorporate real-life examples and applications to make the concept more relatable and practical for learners. By incorporating the 'Estimate' skill in your learning design, you can enhance learners' critical thinking and decision-making abilities. This will also help them develop a practical skill that can be applied in various contexts.

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Question stem

What is your approximation of

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Example

Present learners with a data-driven problem or scenario and instruct them to estimate and justify their predictions, fostering analytical thinking and data interpretation skills.

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