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WK21 Activity 3: Use of educational data

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Activity 3: Use of educational data

Timing: 2 hours

Part 1

   Begin by looking around the H817 Moodle environment. Note where it is personalised, displaying information that only applies to you or to people in your tutor group. Explore the different tabs and links, looking for information that has been collected about you during your time at the University.

   Look back across the module and note occasions when you have accessed sites that may store data about you.

   Share your findings in the discussion forum, building up a jointly created list of the ways in which data relating to your activity are used on the module site and beyond.

   In Week 24 you will consider ethical practices related to data collection and learning analytics. At this stage, note in your learning journal or blog whether you personally object to any of this data being collected or used, and why you feel this is acceptable or unacceptable.

Part 2

   Reflect on your current teaching environment or on a teaching environment that you know well. How are student data used in this case?

   Record the data use under four headings:

                     Used to benefit learner(s)

                     Used to benefit educator(s)

                     Used to benefit administrators or managers

                     Other

Part 3

   Identify some of the educational challenges in the environment that you are considering. They may include those identified earlier.

   Formulate two or three recommendations that set out how data gathered in this environment could be used better to support learners or educators.

OR

   Set out two or three recommendations for ways in which other institutions could benefit from good practice in the environment that you are considering.

If the challenges and recommendations you have identified are not private to your institution, or business sensitive, share them in the discussion forum. Read the recommendations that other learners share, and identify issues that arise in many contexts that could be reduced or resolved by the use of learning analytics.




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