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OPTIMISING
CHILDREN’S
OUTCOMES
(OCO)
Camilla Mahon
Erika Fisher
Gaby Kavanagh
Hannah Rogers
BACKGROUND RESEARCH
 Eye-tracking techniques are suggested to be used to deeply

explore the cognitive process (Tsai, Hou, Lai, Liu & Yang, 2012).
 Boswell, Knight and Spriggs (2013) discussed that some studies

have shown that academic skills can be directly impacted by selfmonitoring. McDougall and Brady (1998, as cited in Boswell,
Knight and Spriggs, 2013) illustrated that fourth graders with and
without disabilities were able to increase their ‘engaged time’ after
learning to use two self-management strategies (i.e., selfmonitoring of attention and productivity).
‘OPTIMEYES’
 Tesco is installing hundreds of hi-tech screens that scan the faces

of shoppers as they queue at the till to detect their age and sex for
advertisers.
 Lord Alan Sugar
 It works by using inbuilt cameras in a TV-style screen above the

till that identify whether a customer is male or female, estimate
their age and judge how long they look at the ad.
 The technology is already used in forecourts across the UK
PROPOSED FIELD RESEARCH
 Implementing prototype model
 Survey aimed at educational professionals and parents of primary

school children.
 Option to expand and give opinions on design

 Sketches will be provided after initial requirements gathering to

aid user usability
WHO & WHY?
Designed with teachers in mind to keep track of behaviour,
concentration and progress of their students
Aim: Benefit learning outcomes for students by comparing monitored
behaviour to the individuals progress in class
PERSONA
PROBLEMS
Problem 1
 Parents might not be comfortable with their children being

monitored
Problem 2
 System failure could result in complete loss of individual progress
PROPOSED SOLUTIONS
Solution for Problem 1
 Parents must give consent. If not, a profile will not be included of
their child
Solutions for Problem 2
 The system will automatically back up the information onto the
school’s server
 At the end of each term the teacher will also manually back up the
programme
 The application has the potential to develop its own online
storage, for example, similar to the ‘Cloud’
HOW WILL IT WORK?
Monitoring box (OCO) on top of blackboard
 Facial recognition
 Eye tracking (similar to the ‘Optimeyes’)
 Noise level
 Movement
HOW WILL IT WORK?
Visual Representation
REFERENCES
 Boswell, M., Knight, V., & Spriggs, A. D. (2013). Self-monitoring of

On*task Behaviors Using the MotivAider® by a Middle School
Student with a Moderate Intellectual Disability. Rural Special
Education Quarterly, 32(2), 23-30.
 Hawkes, S. (2013, November 4). Tesco to scan queuing shoppers'

features for advertisers. The Telegraph. Retrieved from
http://www.telegraph.co.uk/earth/agriculture/supermarkets/10423811/
Tesco-to-scan-queuing-shoppers-features-for-advertisers.html
 Tsai, M., Hou, H., Lai, M., Liu, W., & Yang, F. (2012). Visual attention

for solving multiple-choice science problem: An eye-tracking
analysis. Computers & Education, 58(1), 375-385.
doi:10.1016/j.compedu.2011.07.012
THANKS FOR YOUR
ATTENTION!
Any Questions?

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Optimising children's outcomes

  • 2. BACKGROUND RESEARCH  Eye-tracking techniques are suggested to be used to deeply explore the cognitive process (Tsai, Hou, Lai, Liu & Yang, 2012).  Boswell, Knight and Spriggs (2013) discussed that some studies have shown that academic skills can be directly impacted by selfmonitoring. McDougall and Brady (1998, as cited in Boswell, Knight and Spriggs, 2013) illustrated that fourth graders with and without disabilities were able to increase their ‘engaged time’ after learning to use two self-management strategies (i.e., selfmonitoring of attention and productivity).
  • 3. ‘OPTIMEYES’  Tesco is installing hundreds of hi-tech screens that scan the faces of shoppers as they queue at the till to detect their age and sex for advertisers.  Lord Alan Sugar  It works by using inbuilt cameras in a TV-style screen above the till that identify whether a customer is male or female, estimate their age and judge how long they look at the ad.  The technology is already used in forecourts across the UK
  • 4. PROPOSED FIELD RESEARCH  Implementing prototype model  Survey aimed at educational professionals and parents of primary school children.  Option to expand and give opinions on design  Sketches will be provided after initial requirements gathering to aid user usability
  • 5. WHO & WHY? Designed with teachers in mind to keep track of behaviour, concentration and progress of their students Aim: Benefit learning outcomes for students by comparing monitored behaviour to the individuals progress in class
  • 7. PROBLEMS Problem 1  Parents might not be comfortable with their children being monitored Problem 2  System failure could result in complete loss of individual progress
  • 8. PROPOSED SOLUTIONS Solution for Problem 1  Parents must give consent. If not, a profile will not be included of their child Solutions for Problem 2  The system will automatically back up the information onto the school’s server  At the end of each term the teacher will also manually back up the programme  The application has the potential to develop its own online storage, for example, similar to the ‘Cloud’
  • 9. HOW WILL IT WORK? Monitoring box (OCO) on top of blackboard  Facial recognition  Eye tracking (similar to the ‘Optimeyes’)  Noise level  Movement
  • 10. HOW WILL IT WORK? Visual Representation
  • 11. REFERENCES  Boswell, M., Knight, V., & Spriggs, A. D. (2013). Self-monitoring of On*task Behaviors Using the MotivAider® by a Middle School Student with a Moderate Intellectual Disability. Rural Special Education Quarterly, 32(2), 23-30.  Hawkes, S. (2013, November 4). Tesco to scan queuing shoppers' features for advertisers. The Telegraph. Retrieved from http://www.telegraph.co.uk/earth/agriculture/supermarkets/10423811/ Tesco-to-scan-queuing-shoppers-features-for-advertisers.html  Tsai, M., Hou, H., Lai, M., Liu, W., & Yang, F. (2012). Visual attention for solving multiple-choice science problem: An eye-tracking analysis. Computers & Education, 58(1), 375-385. doi:10.1016/j.compedu.2011.07.012