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Testing the prototypes
             Diana Laurillard for OLDSMOOC
Index
1. Testing and data collection from prototypes
2. Selected types of data collection and their features
3. Interpreting observation data
4. A study of a design that used automatic data capture
5. Data capture and analysis tools
6. Activity: Observation 1
7. Activity: Observation 2



Play slides or use these hyperlinks to navigate to sections.
Notes pages show any relevant bibliographic references
                                                               1
Testing and collecting data
 • Some of the prototyping techniques we’ve looked at provide their own
   means of collecting learner data on their response to a design – e.g.
   responses to a ppt visualisation collected in the Notes page in answer to
   specific questions as in the ‘Storyboarding functionality’ above.
 • Ways of collecting data on learner responses depend on the technique
   being used, and on what you want to find out.
 • They can all be a basis for further follow-up with an interview to find out
   more about learner perceptions and ways of conceptualising the task and
   what they are trying to learn.




Menu                                                                             2
Selected types of data collection
       Learners’ answers to questions on specific design issues
           can collect from several learners at once; elicits their short text-
           based reflections
       Learners’ outputs on activities based on a design
           can collect from several learners at once; elicits their perceptions of
           the task; provides a detailed record for analysis
       Program monitoring/recording of learner actions
           automates data collection; may need observation as well to assist
           interpretation; provides a detailed record for analysis
       Notes/recording of pairs’ discussions
           a researcher can only listen to and record one pair at a time; more
           natural than one person thinking aloud; useful to record as well; link
           to program monitoring of learner actions
       Observation of learner actions
           a researcher can only observe and record one person or group at a
           time; may need program monitoring or video capture to assist
           interpretation; provides a detailed record for analysis

Menu                                                                                 3
Interpreting observation data
  Interviews with the student after they have worked through a
  prototype can be very useful to help with your interpretation of what
  they were thinking about, or how they interpreted the task or
  presentation.

  Some researchers use a ‘think-aloud’ technique, asking the learner to
  talk about their reactions as they go. This can be useful, except when
  the task absorbs the learner’s attention, and then they stop talking.

  A good alternative is to use ‘Stimulated recall’ (Bloom1953)
       • the researcher notes the critical incidents or interesting moments in
         the learner’s actions
       • then returns to that part of the software in the interview and asks
         ‘what were you thinking at this point?’
       • this can often elicit quite detailed accounts of how they were
         interpreting the visuals, or the task – or, of course, why they might
         have been confused or uncertain about what to do.
Menu                                                                             4
A study of a design: automatic data capture
   • Data collection was carried out on 18 students with A-
     level Maths or higher
   • They were observed doing tasks involving interpretations
     of prototype mathematical and graphical displays
   • Each task was presented in either static, dynamic or
     interactive forms
   • Data capture was automatic:
       –   video and audio of the interaction
       –   real-time capture of work on a tablet
       –   recording of actions on the screen
       –   eye-tracking of eye movements across the screen.


Menu                                                            5
These techniques generate copious data!

    Video                                                        What the
 actions, ges                                                  learner sees
  tures, talk                                                    on screen



                              Fixation
  Real-time
  writing on                  Saccade
the Tablet PC




  Allows detailed analysis of user response to interface and interactivity
  Important to know what you’re looking for – what’s the hypothesis?
                                                                              6
Relating talk to action




    Participant’s talk: “This is going from minus two…”
When you are involved in different kinds of data capturing techniques, there is some
fine-grained observational data that’s not possible to record with just traditional
observation. In this figure and the next you can see the eye-movement following the
shapes in a particular area, with individual eye movements building up into a
coherent picture. This process is evident from the eye tracking data because you can
re-construct the saccades.
                                                                                   7
Analysing focus of attention




                  Interesting that the focus here
                  is much more on the numbers
                  than on the graphs



                                                    8
Comparing attention paid to
    representations
               Contrasting the data from
               different students – it’s
               important to know what you’re
               looking for – are these similar
               because they all focus on
               numbers, or different because
               they spend more time (larger
               circles) on different elements?




                                                 9
Data capture and analysis tools
   Try these if you want to do
   this kind of data capture
   and analysis




                                       To coordinate and analyse
                                       the multiple streams of data


   To capture eye
   movements, logged
   interactions, and for eye-
   tracking data analysis        To capture screen activities
Menu                                                              10
Typical Activity: Observation 1
       Set Goal: To locate a specific document
       Describe Task: Find and open the article X
       Suggest Tool: A course Moodle site

       Observation actions:
       • take notes of all actions, timings and any talk
       • refer back to an interesting moment and ask what
         they were thinking about at that moment, or why
         they took that action
       • would structured notes help?


Menu                                                        11
Typical Activity: Observation 2
       Set Goal: Use an online tool to complete a task
       Describe Task: Add a new page to the wiki, paste
       in the link to an online resource, and add a short
       comment
       Suggest Tool: A course Moodle site
       Observation actions:
       • take notes of all actions, timings and any talk
       • refer back to an interesting moment and ask what
         they were thinking about at that moment, or why
         they took that action
       • would structured notes help?

Menu                                                        12

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OLDSMOOC Week5 part 2: Testing the prototypes. Diana Laurillard

  • 1. Testing the prototypes Diana Laurillard for OLDSMOOC Index 1. Testing and data collection from prototypes 2. Selected types of data collection and their features 3. Interpreting observation data 4. A study of a design that used automatic data capture 5. Data capture and analysis tools 6. Activity: Observation 1 7. Activity: Observation 2 Play slides or use these hyperlinks to navigate to sections. Notes pages show any relevant bibliographic references 1
  • 2. Testing and collecting data • Some of the prototyping techniques we’ve looked at provide their own means of collecting learner data on their response to a design – e.g. responses to a ppt visualisation collected in the Notes page in answer to specific questions as in the ‘Storyboarding functionality’ above. • Ways of collecting data on learner responses depend on the technique being used, and on what you want to find out. • They can all be a basis for further follow-up with an interview to find out more about learner perceptions and ways of conceptualising the task and what they are trying to learn. Menu 2
  • 3. Selected types of data collection Learners’ answers to questions on specific design issues can collect from several learners at once; elicits their short text- based reflections Learners’ outputs on activities based on a design can collect from several learners at once; elicits their perceptions of the task; provides a detailed record for analysis Program monitoring/recording of learner actions automates data collection; may need observation as well to assist interpretation; provides a detailed record for analysis Notes/recording of pairs’ discussions a researcher can only listen to and record one pair at a time; more natural than one person thinking aloud; useful to record as well; link to program monitoring of learner actions Observation of learner actions a researcher can only observe and record one person or group at a time; may need program monitoring or video capture to assist interpretation; provides a detailed record for analysis Menu 3
  • 4. Interpreting observation data Interviews with the student after they have worked through a prototype can be very useful to help with your interpretation of what they were thinking about, or how they interpreted the task or presentation. Some researchers use a ‘think-aloud’ technique, asking the learner to talk about their reactions as they go. This can be useful, except when the task absorbs the learner’s attention, and then they stop talking. A good alternative is to use ‘Stimulated recall’ (Bloom1953) • the researcher notes the critical incidents or interesting moments in the learner’s actions • then returns to that part of the software in the interview and asks ‘what were you thinking at this point?’ • this can often elicit quite detailed accounts of how they were interpreting the visuals, or the task – or, of course, why they might have been confused or uncertain about what to do. Menu 4
  • 5. A study of a design: automatic data capture • Data collection was carried out on 18 students with A- level Maths or higher • They were observed doing tasks involving interpretations of prototype mathematical and graphical displays • Each task was presented in either static, dynamic or interactive forms • Data capture was automatic: – video and audio of the interaction – real-time capture of work on a tablet – recording of actions on the screen – eye-tracking of eye movements across the screen. Menu 5
  • 6. These techniques generate copious data! Video What the actions, ges learner sees tures, talk on screen Fixation Real-time writing on Saccade the Tablet PC Allows detailed analysis of user response to interface and interactivity Important to know what you’re looking for – what’s the hypothesis? 6
  • 7. Relating talk to action Participant’s talk: “This is going from minus two…” When you are involved in different kinds of data capturing techniques, there is some fine-grained observational data that’s not possible to record with just traditional observation. In this figure and the next you can see the eye-movement following the shapes in a particular area, with individual eye movements building up into a coherent picture. This process is evident from the eye tracking data because you can re-construct the saccades. 7
  • 8. Analysing focus of attention Interesting that the focus here is much more on the numbers than on the graphs 8
  • 9. Comparing attention paid to representations Contrasting the data from different students – it’s important to know what you’re looking for – are these similar because they all focus on numbers, or different because they spend more time (larger circles) on different elements? 9
  • 10. Data capture and analysis tools Try these if you want to do this kind of data capture and analysis To coordinate and analyse the multiple streams of data To capture eye movements, logged interactions, and for eye- tracking data analysis To capture screen activities Menu 10
  • 11. Typical Activity: Observation 1 Set Goal: To locate a specific document Describe Task: Find and open the article X Suggest Tool: A course Moodle site Observation actions: • take notes of all actions, timings and any talk • refer back to an interesting moment and ask what they were thinking about at that moment, or why they took that action • would structured notes help? Menu 11
  • 12. Typical Activity: Observation 2 Set Goal: Use an online tool to complete a task Describe Task: Add a new page to the wiki, paste in the link to an online resource, and add a short comment Suggest Tool: A course Moodle site Observation actions: • take notes of all actions, timings and any talk • refer back to an interesting moment and ask what they were thinking about at that moment, or why they took that action • would structured notes help? Menu 12