{"id":12548,"date":"2022-05-26T12:00:31","date_gmt":"2022-05-26T11:00:31","guid":{"rendered":"https:\/\/blogs.tees.ac.uk\/lteonline\/?p=12548"},"modified":"2022-05-26T15:33:05","modified_gmt":"2022-05-26T14:33:05","slug":"the-essential-guide-to-analytics-in-blackboard-ultra-and-turnitin","status":"publish","type":"post","link":"https:\/\/blogs.tees.ac.uk\/lteonline\/2022\/05\/26\/the-essential-guide-to-analytics-in-blackboard-ultra-and-turnitin\/","title":{"rendered":"The Essential Guide to Analytics in Blackboard Ultra and Turnitin"},"content":{"rendered":"

In this post, we\u2019ll explore five<\/u><\/strong> techniques found within your Blackboard module for analysing student engagement and reviewing the success of your module and assessment design.<\/p>\n

We shall explore:<\/p>\n

    \n
  1. Module Activity<\/li>\n
  2. Discussion Board Analytics<\/li>\n
  3. Question Analysis<\/li>\n
  4. Assessment Analytics<\/li>\n
  5. And Turnitin Assessment Analytics<\/li>\n<\/ol>\n

     <\/p>\n

    Technique No.1 Blackboard Ultra Module Activity <\/strong><\/h3>\n

    Blackboard Ultra now includes the ability to access analytics relating to activity with a module.<\/p>\n

    This includes:<\/p>\n

      \n
    • Overall view of student progress in the module presented in various numerical and graphical formats.<\/li>\n
    • Average hours in module.<\/li>\n
    • Active hours in module.<\/li>\n
    • Individual student activity mapped against the class average.<\/li>\n<\/ul>\n

      \"\"<\/p>\n

      With this data, you can identify and assist students who are working hard but still struggling. You can encourage students to increase their activity in online course materials to help bolster their grade. Using this information, you can congratulate students whose hard work is paying off!<\/p>\n

      Measuring student performance in Blackboard Ultra<\/a><\/p><\/blockquote>\n