Guide-linked quiz · Medium Level

AI in Personalized Tutoring Quiz

Explore skill-level knowledge tracing, retrieval practice and conversational tutoring while distinguishing research from learning outcomes.

Related guide pathsAI In Personalized Tutoring
Question 1 of 8

What does 'knowledge tracing' estimate in an intelligent tutoring system?

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  1. What does 'knowledge tracing' estimate in an intelligent tutoring system?
    • The probability that a learner has mastered each particular skill
    • The student's favorite subject
    • How fast the internet connection is
    • The teacher's salary
  2. What is the defining feature of a Socratic tutoring approach, as used by tools like Khanmigo?
    • Immediately giving the final answer to save time
    • Guiding the student with questions rather than revealing the answer directly
    • Refusing to help with any questions
    • Only teaching ancient Greek philosophy
  3. The 'zone of proximal development' that good tutors aim for describes tasks that are:
    • Far too easy and boring
    • Impossibly hard for the learner
    • Challenging but achievable with appropriate support
    • Completely unrelated to the subject
  4. What does spaced practice do to the timing of review?
    • It removes all review after the first lesson
    • It presents every item only once
    • It schedules all practice in one continuous block
    • It distributes practice or review sessions over time rather than massing them together
  5. In a randomized study of 252 learners receiving math tutoring feedback, what happened as erroneous feedback became more common?
    • Perceived usefulness of the feedback declined
    • Every learner’s test score rose by the same amount
    • Learners stopped using the tutoring system entirely
    • The study found no relationship with perceived usefulness
  6. Which is a defensible design option when a tutoring system suggests practice for a learner?
    • Assume the software’s plan is correct for every learner
    • Let a teacher review or adjust the suggested practice when appropriate
    • Remove teachers from all instructional decisions
    • Treat engagement as proof that learning improved
  7. In Bayesian Knowledge Tracing, what does the guess parameter represent?
    • The chance a mastered skill is forgotten between opportunities
    • The probability a tutor chooses the next worksheet
    • The chance a learner answers correctly despite not having mastered the skill
    • The time required to complete a course
  8. What does BKT’s learning-transition parameter represent?
    • The probability that a question is mislabeled
    • The chance a learner guesses correctly without mastery
    • The proportion of lessons using video
    • The probability that an unmastered skill becomes mastered between practice opportunities

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