AI in Personalized Learning and Feedback AIE Practice Questions (Page 4)

Questions 16–20

1. 16application · easy

   A corporate training department wants to implement AI-driven personalized learning for its employees. They have a diverse workforce with different skill levels and learning preferences. Which approach best aligns with the principles of personalized learning?

   • AProvide the same training modules to all employees to ensure consistency
   • BUse a one-size-fits-all assessment at the end
   • COnly offer training to employees who request it
   • DCreate individual learning paths based on each employee's skills and preferences
   Reveal Solution Discussion Select an answer first
2. 17application · easy

   A university's learning management system (LMS) uses AI to recommend optional reading materials. The AI considers quiz scores, time spent on modules, and the learner's stated interest in data science. Which type of data is the learner's stated interest?

   • APreference data
   • BDemographic data
   • CEngagement data
   • DPerformance data
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   How does AI tailor educational content to individual learner needs?

   • ABy randomly selecting content from a pool of materials
   • BBy requiring learners to choose their own content without guidance
   • CBy using learner data to adjust content, difficulty, and learning style
   • DBy providing the same static content to all learners
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which of the following is a type of learner data commonly used by AI to personalize learning?

   • AThe learner's internet browser history
   • BThe learner's social media posts
   • CPerformance data, such as quiz scores and completion times
   • DThe learner's physical location at all times
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   An adaptive learning platform for a coding bootcamp uses AI to adjust the difficulty of coding challenges. The platform must ensure that learners are neither bored nor overwhelmed. It uses a combination of success rate and time-to-solve to adjust difficulty. However, some learners game the system by looking up solutions, which inflates their success rate. Which additional data input would best mitigate this gaming behavior?

   • ALearner's age
   • BLearner's self-reported confidence
   • CTime spent on external resources (e.g., browser activity)
   • DNumber of attempts per challenge
   Reveal Solution Discussion Select an answer first