AI in Outcome-Based Education

In a personalized learning program, how can AI contribute to individual student progress?

• AI can only provide standardized content to all students

• AI can analyze individual learning styles and adjust content accordingly

• AI is not capable of personalizing learning experiences

• AI can only provide feedback on student performance

What does AI-driven analytics in OBE primarily focus on?

• Tracking the number of students in a classroom

• Identifying the most challenging subjects for students

• Analyzing data to identify areas of improvement and intervention based on learning outcomes

• Predicting students' future careers

How does AI assist educators in identifying struggling students in an OBE environment?

• AI cannot help in identifying struggling students

• By comparing students to each other

• By analyzing data and patterns in student performance, providing early intervention alerts

• By conducting standardized tests

What is the primary benefit of using AI for automated grading and assessment in OBE?

• Reducing the quality of feedback to students

• Eliminating the need for assessments altogether

• Providing timely and consistent feedback, allowing educators to focus on teaching

• Making grading more arbitrary

How does AI contribute to the continuous improvement cycle in OBE?

• By discouraging evaluation and improvement efforts

• By automating the entire process, leaving no room for improvement

• By analyzing data and providing insights that help educators refine their teaching strategies and curriculum based on learning outcomes

• By ignoring student performance data

In a personalized learning program, how does AI adapt instruction to meet the unique needs of each student?

• AI can only provide one-size-fits-all instruction

• AI can replace teachers but not adapt instruction

• AI can analyze students' progress and tailor instruction, providing resources and support aligned with learning outcomes and competencies

• AI can only assist in classroom management

What is the potential drawback of overreliance on AI in OBE?

• AI can replace the need for human teachers completely

• AI may not be capable of providing personalized feedback

• AI can make the education process more efficient without any drawbacks

• AI may not adapt to the unique needs of each student, leading to a loss of the human touch in education

How does AI enhance formative assessment in OBE?

• AI makes formative assessment more rigid and standardized

• AI eliminates formative assessment entirely

• AI provides ongoing feedback to students, allowing them to track their progress toward learning outcomes and competencies

• AI delays assessment until the end of the course

What is the primary goal of using AI in OBE?

• To eliminate the need for educators

• To make the education process more complicated

• To support educators in delivering personalized instruction and assessments aligned with learning outcomes

• To increase the workload of students

How does AI-driven personalization affect student engagement in OBE?

• It has no impact on student engagement

• It decreases student engagement

• It can increase student engagement by tailoring content to their interests, abilities, and progress toward learning outcomes

• It makes all students follow the same learning path