Introduction to the xAPI: Analysis | HT2 Learning
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The document by Janet Laane Effron provides insights into utilizing XAPI for data analysis in learning contexts. It emphasizes the importance of understanding data sources, user behavior, and performance metrics while cautioning against potential pitfalls in analysis. The overarching theme is the necessity of thoughtful inquiry into business and learning questions to effectively leverage data for improved outcomes.
Introduction to the xAPI: Analysis | HT2 Learning
- 1. Introduction to xAPI: Analysis Janet Laane Effron 1 October 2015
- 2. “He uses statistics as a drunken man uses lampposts – for support rather than for illumination” Andrew Lang
- 3. Now What? Get your data
- 4. Get your data Now What?
- 5. Did I Mention…? Data is ugly.
- 6. Did I Mention…? Data is ugly.
- 7. Before you get started A few words of caution… User IDs Verbs Context Sources Data Cleaning
- 8. Take some time to Explore…
- 9. Take some time to Explore…
- 10. Take some time to Explore… You’ll be glad you did.
- 11. The game is on… Time for Analysis But we have a problem…
- 12. When it comes to analysis, your brain may be your worst enemy
- 13. Illustration by Gerald Fisher; From Pscychology of Intelligence Analysis - Heuer
- 14. So basically, you’re starting from here…
- 15. Analysis of Competing Hypotheses
- 16. What are the Business Questions You Are Trying to Answer? Learning Questions are Business Questions Participation Performance
- 17. Participation Related How are people using resources available? How much time are they spending? What elements/resources are proving useful? What aspects of participation affect results? What aspects of participation affect completions
- 19. Performance Related What impact did sales course x have on sales managers performance on y as measured by z? What information would you need to answer that? Where would you find it? Can you get access to it? What could possibly go wrong? How will you integrate with data you already have?
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