Optimising children's outcomes
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The document proposes developing a monitoring system called OCO (Optimising Children's Outcomes) that tracks student behavior and progress in primary school classrooms. It discusses using eye tracking and facial recognition techniques similar to existing retail systems to monitor students' concentration, noise levels, and movement. A prototype would be tested through surveys of educators and parents. Potential issues around privacy and data loss are addressed. Diagrams illustrate how the system would work using a monitoring box above the blackboard. The goal is to benefit learning outcomes by comparing individual student behavior to their academic progress.
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Optimising children s outcomes
The document proposes the development of the Optimising Children's Outcomes (OCO) system. The OCO would use facial recognition, eye tracking, noise level monitoring and motion detection to monitor student behavior and concentration in the classroom. It would compare this data to individual student academic progress. This is aimed to benefit student learning outcomes. The document outlines background research on similar systems, a proposed field study, potential issues around parental consent and data backup, and how the system would work visually. It provides references used to design the OCO proposal.
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and explored their beliefs about using a newly developed scale, the Video
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sessing caregivers’ perceptions of VM. In general, the VMPS appears to be an
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Currently 1 in 68 children is diagnosed with an autism spectrum disorder (ASD), with some locations in the United States report-
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and Prevention, 2014). To receive a diagnosis of ASD, children must
exhibit deficits in social communication and demonstrate repetitive
behavior or interests (American Psychiatric Association, 2013). To
Correspondence concerning this article should be addressed to Teresa A. Cardon, PhD,
CCC-SLP, 800 W. University Parkway, Orem, UT 84058; e-mail: [email protected]
etc_38.3_07_Cardon.indd 403 8/13/15 2:40 PM
404 CARDON et al.
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have been created to develop their cognitive, behavioral, communi-
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(VM), appears to be growing in relevance, practicality, and popu-
larity among those (i.e., caregivers and practitioners) who work
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a particular emphasis on caregivers and children with ASD; (b) de-
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UDL and Its Relationship to Special Education Learners
Name
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UDL and Its Relationship to Special Education Learners
Universal Design for Learning aids all the children and it is not limited to only those with learning attention issues. This teaching technique provides more than one way for the learners to have access to the same material alongside letting students apply different methods to demonstrate what they understand (Rose & Meyer, 2002). The primary objective of Universal Design for learning is to make use of a variety of teaching methods to remove any hindrances to learning and provide equal opportunities to all the students to achieve success. This teaching approach is not limited to only children with learning and attention issues as it is all about building in flexibility that can be adjusted or tweaked for every strengths and needs of the students. Examples of universal design include automatic doors, closed captions and accessibility features on a smartphones. Such design elements help persons with disabilities together with those who are not disabled but would love to use them.
UDL provides similar kind of flexibility within the learning environment with its main aim being to present the subjects in school to make it possible for all the learners to have access to the information and to provide learners with distinct ways of demonstrating their knowledge.
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Learning Design and Technology
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DISCOVERABILITY A NEW LEARNABILITY PRINCIPLE FOR CHILDREN’S APPLICATION SOFTWARE
For more than two decades children’s use of multimedia was restricted to watching television and listening
to music. Although some parents complained about children being addicted to listening to music the idea
that children could be addicted to television was a real concern to most parents. Nowadays parents not
only need to be concerned about how much television their kids are watching, but also many other forms of
media that are emerging with the fast development in information and technology such as the internet,
video games, tablets and smart phones. From this the researcher came to realize that children are
increasingly becoming the consumers of application software facilitated by these information systems.
Children spend at least three hours according to research on these media which includes the use of
computers, tablets, smartphones and music. The researcher was concerned that system vendors use the
same learnability principles to make applications for all age groups based on learnability principles that
were designed with adult users in mind. Many interface design principles used for adult products cannot be
applied to products meant for children and further yet children at different ages learn differently. The
research looked at the existing learnability principles by trying to evaluate them and come up with new
principle(s) that can be used to further improve the current principles so that they can be used effectively
by information system designers to improve on the learna
ipadmcaroyb
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Optimising children's outcomes
- 1. OPTIMISING CHILDREN’S OUTCOMES (OCO) Camilla Mahon Erika Fisher Gaby Kavanagh Hannah Rogers
- 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
- 6. PERSONA
- 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
- 12. THANKS FOR YOUR ATTENTION! Any Questions?