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Before we start… 2 questions I am going to ask you at the END

Data Mining in E-Learning: Finally Some Solid Facts About Learning Gideon Zailer www.e-learning.co.il. Before we start… 2 questions I am going to ask you at the END. A nice story about ACCENT. A nice story about ACCENT. A few words about myself…. And I’d also like you to meet….

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Before we start… 2 questions I am going to ask you at the END

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  1. Data Mining in E-Learning: Finally Some Solid Facts About LearningGideon Zailerwww.e-learning.co.il

  2. Before we start…2 questions I am going to ask you at the END

  3. Anice story aboutACCENT

  4. Anice story aboutACCENT

  5. A few words about myself…

  6. And I’d also like you to meet…

  7. Right Next Door (Ball room A1/A2)

  8. How do we usually evaluate learning processes? • Assessments • Tests • Interviews • Observations • Implementation Follow-up • ROI measurement

  9. What are the limitations of such assessment tools? • Subjective • Indirect • Sample groups • Reflective

  10. What IS Data Mining? Data Mining, also known as Knowledge-Discovery in Databases (KDD), is the process of automatically searching large volumes of data for patterns. In order to achieve this, data mining uses computational techniques from statistics, machine learning and pattern recognition

  11. Data mining inprocess…

  12. What can E-learning Data mining do? Every click is counted and monitored • Learning patterns and styles • A new dimension of research In other words:SOLID FACTS

  13. Our Customer • Private school for SAT exams • Over 100,000 students • Internationally acknowledged for its methods and professionalism

  14. The Participants • Young • Restless… • Computer and Internet Savvy • How many of them will adopt the online course?

  15. Let’s have a look…

  16. Why is this a good case studyfor EL data mining? • Many choices, Many possibilities of identifying different learning styles • Long learning process • Massive numbers

  17. What is the POWER?

  18. What is the POWER?

  19. How do we do it? • Encoding each page • Gathering a Data warehouse • Analyzing and processing • Building Characters • Improving Product • Characters Follow-up

  20. Remember Our Friends? • Mr. Long and Mr. Short • Mr. Daytime and Mr. Nighttime • Mr. Thorough and Mr. “Jumpy” • Mr. “Next Next” • ”I am here for the games” • “Can I have some feedback?” • “Help I need somebody”

  21. Additional Insights • How long is a session? • “fun” and amazing features? • Linear Learning? • 40 different dominant paths

  22. How is data mining going to change us? • Training Instructors • Training Designers • Training Managers

  23. And the answers to the two questions…

  24. Thank you for your data-mind gideonz@e-learning.co.il www.e-learning.co.il

  25. And see you in a month gideonz@e-learning.co.il www.e-learning.co.il www.e-learning.co.il/astd.ppt

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