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Data Mining in E-Learning: Finally Some Solid Facts About Learning Gideon Zailer www.e-learning.co.il www.e-learning.co.il.

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Presentation on theme: "Data Mining in E-Learning: Finally Some Solid Facts About Learning Gideon Zailer www.e-learning.co.il www.e-learning.co.il."— Presentation transcript:

1 Data Mining in E-Learning: Finally Some Solid Facts About Learning Gideon Zailer

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

3 A nice story about ACCENT

4

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 in process…

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 study for EL data mining? Many choices, Many possibilities of identifying different learning styles Long learning process Massive numbers

17 What is the POWER?

18

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

25 And see you in a month


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