šŸ“š Quiz Instructions

Overall Progress

0%
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Questions Answered Correctly: 0 / 10

ā„¹ļø GenAI Integration Point:
In an ideal implementation, these questions and corresponding learning analytics/xAPI statements would be generated automatically via AI tools. The AI agent could be trained on a question set.
ā„¹ļø GenAI Integration Point:
In a more complex question type, like a written response, our feedback agent could provide more relevant and descriptive feedback in real time.

šŸŽ“ Your Learning Journey Summary

šŸ’Ŗ Your Strengths

šŸŽÆ Growth Opportunities ā„¹ļø GenAI Integration Point:
In context of a course, this section could also direct learners back to specific parts of the course or text to study up.

🧠 Bloom's Taxonomy Progress ā„¹ļø xAPI Integration Point:
With the use of appropriate verbs, xAPI can support this level of tracking of higher-order thinking. It doesn't need to be exclusively Bloom's, this is just an example. We'd want to look at xAPI extensions to see what exists that could align with our goals.

Recall 0
Comprehend 0
Apply 0
Analyze 0
Evaluate 0
Create 0

šŸ”ļø Competency Areas ā„¹ļø xAPI Integration Point:
Competency achievement can also be recorded with xAPI, and we could get to the level of detail where each competency has its own higher-order thinking levels of achievement within as well. This would also be a useful integration point with LDA's confidence assessment, ex: it took XX number of attempts for the learner to reach this level of competency and because of that there is X% confidence in their competency.

Geographic Knowledge 0
Physical Characteristics 0
Human Impact & Culture 0