Course Analytics in Context

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    Course Analytics in Context - Presentation Transcript

    1. Course Analytics Tony Hirst Dept of Communication and Systems, The Open University, UK http://ouseful.info
    2. Context: Web Analytics in HE “ Website Analytics” - behaviour on “public” website - SEO - onsite search behaviour “ Elearning Analytics” - academic analytics - course analytics
    3. The OU Homepage?
    4. HE-commerce
    5. “ Course Choice Analytics” The Goog Course Page Qualification Description Course Search Related Courses
    6. Context: Web Analytics in HE “ Website Analytics” - behaviour on “public” website - SEO - onsite search behaviour “ Elearning Analytics” - academic analytics - course analytics
    7. “ Academic Analytics” “ how data from sources such as a course management system (CMS) or a student information systems (SIS) can identify at-risk students through analytics and predictive modeling” - Educause
    8. Moodle/VLE Reporting
    9. Users Visits Av. time on Site
    10. Course data Category Data Retrospective
    11. Tutor Information - last visit - forum posts - file downloads
    12. To what extent can we use “traditional” web analytics tools for VLE reporting?
    13. T184 Robotics & the Meaning of Life
    14. How often do they come?
    15.  
    16. How long are they around for?
    17.  
    18.  
    19. How many course web pages do they read per visit?
    20.  
    21.  
    22. When are they doing it?
    23. Every day the same?
    24. Tuesday good, Friday bad…
    25. What are they reading?
    26. How long are they reading each page for?
    27.  
    28. Where are they leaving from?
    29. Does pacing work?
    30.  
    31. When do students do their assessment?
    32. The path to assessment (ECA)
    33. Broadband is arriving… Die, dial up, die….
    34. Screens are getting bigger… > 1000 x 800
    35. Course Analytics To what extent can we use “traditional” web analytics to better understand user behaviour within an elearning course.
    36. Context: Web Analytics in HE “ Website Analytics” - behaviour on “public” website - SEO - onsite search behaviour “ Elearning Analytics” - academic analytics - course analytics
    37. How do our students actually use online course materials?
    38. If an elearning course is “just another website”, how can we make it better?
    39. Course Analytics (Google Analytics) Sitewide Tracking (Site Analytics) Library Analytics (Google Analytics) VLE Stats
    40. Photo Credits “ October Calendar” http://flickr.com/photos/emdot/50537499/ “ internet killed the coffee shop” http://flickr.com/photos/nirbhao/2237610791/ “ web analytics washing” http://flickr.com/photos/vickyb/2430043983 “ Adam's Desk” http://flickr.com/photos/adam_sporka/379238718/ “ Calendar” http://flickr.com/photos/ollie_g/503203557
    41. http://ouseful.info

    + Tony HirstTony Hirst, 11 months ago

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