Guide-linked quiz · Medium Level
The AI Assessment Scale for Classrooms Quiz
Tests the five levels of the updated AI Assessment Scale, why the levels are not a quality ladder, and why Level 1 needs supervised conditions.
Question 1 of 8
What is the AI Assessment Scale mainly used for?
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Answers and explanations appear as you take the quiz.
- What is the AI Assessment Scale mainly used for?
- Detecting AI-written text
- Ranking AI companies
- Telling students how much AI they may use on a given assignment
- Grading students' typing speed
- In the updated 2024 AIAS, what is Level 2 called?
- AI Planning
- Full AI
- AI Exploration
- No AI
- Why does a Level 1 (No AI) label need supervised conditions?
- Supervision makes the work shorter
- Level 1 tasks are always exams by law
- Supervised tasks are easier to grade
- Without supervision, nobody can confirm that no AI was used
- Which statement about the AIAS levels is correct?
- Higher levels are always easier
- The levels are not a ladder of quality. They assess different skills
- Level 5 is the most rigorous in all cases
- Only Level 1 counts toward grades
- What evidence best supports a Level 2 or Level 3 task?
- Only the final polished submission
- A detector score
- Process evidence such as drafts, AI transcripts or a reflection
- The number of words written
- At Levels 4 and 5, what should a rubric reward?
- Judgment, such as checking claims, spotting errors and explaining choices
- Handwriting
- Avoiding AI entirely
- Using as many AI tools as possible
- Which institution's two-lane approach separates secure assessments from open ones?
- Harvard University
- UNESCO
- OpenAI
- The University of Sydney
- Can a single assignment use more than one AIAS level?
- No, one level per course only
- Yes, for example AI planning for an outline and a supervised no-AI section
- Only if the student chooses
- Only at Level 5
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