Leveraging data driven approach to empower assistive technology
Assistive technology refers to tools, devices or software that aid in the learning experience of an individual with Special Educational Needs and Disabilities (SEND). Filisia interface Ltd has successfully developed an award-winning assistive hardware (COSMO), is being used in schools, therapy and i...
| Principais autores: | , , , , |
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| Formato: | Conference or Workshop Item |
| Idioma: | English |
| Publicado em: |
IARIA
2024
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| Assuntos: | |
| Acesso em linha: | https://repository.londonmet.ac.uk/9250/3/Leveraging%20Data%20Driven%20Approach%20to%20Empower%20Assistive%20Technology.pdf |
| _version_ | 1825625879514972160 |
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| author | Nakarmi, Sabin Ouazzane, Karim Yu, Qicheng Gill, Manmeet Khemka, Sanjana |
| author_facet | Nakarmi, Sabin Ouazzane, Karim Yu, Qicheng Gill, Manmeet Khemka, Sanjana |
| author_sort | Nakarmi, Sabin |
| collection | LMU |
| description | Assistive technology refers to tools, devices or software that aid in the learning experience of an individual with Special Educational Needs and Disabilities (SEND). Filisia interface Ltd has successfully developed an award-winning assistive hardware (COSMO), is being used in schools, therapy and in homes to aid in learning for users with Special Educational Needs and Disabilities (SEND). To make full use of the COSMO assistive hardware and make impactful changes, a data driven approach is proposed to bridge that gap for individualized tracking and decision making. This research paper aims to explore how a data driven approach can be leveraged to empower the emerging potential of assistive technology and its impact on EdTech. The paper investigates how assistive technology is being used and the limited options for customizations and personalization for individuals with different physical or cognitive conditions. Also, this paper highlights how key metrics from the COSMO assistive hardware is used alongside its partner application to create an integrated system that processes and visualizes this data for interpretation by therapists and teachers for progress tracking purposes. The first version of system has been deployed and is in its user evaluation stage which has been very well received. |
| first_indexed | 2024-07-09T04:07:57Z |
| format | Conference or Workshop Item |
| id | oai:repository.londonmet.ac.uk:9250 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2024-07-09T04:07:57Z |
| publishDate | 2024 |
| publisher | IARIA |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:92502024-04-30T11:58:37Z https://repository.londonmet.ac.uk/9250/ Leveraging data driven approach to empower assistive technology Nakarmi, Sabin Ouazzane, Karim Yu, Qicheng Gill, Manmeet Khemka, Sanjana 000 Computer science, information & general works Assistive technology refers to tools, devices or software that aid in the learning experience of an individual with Special Educational Needs and Disabilities (SEND). Filisia interface Ltd has successfully developed an award-winning assistive hardware (COSMO), is being used in schools, therapy and in homes to aid in learning for users with Special Educational Needs and Disabilities (SEND). To make full use of the COSMO assistive hardware and make impactful changes, a data driven approach is proposed to bridge that gap for individualized tracking and decision making. This research paper aims to explore how a data driven approach can be leveraged to empower the emerging potential of assistive technology and its impact on EdTech. The paper investigates how assistive technology is being used and the limited options for customizations and personalization for individuals with different physical or cognitive conditions. Also, this paper highlights how key metrics from the COSMO assistive hardware is used alongside its partner application to create an integrated system that processes and visualizes this data for interpretation by therapists and teachers for progress tracking purposes. The first version of system has been deployed and is in its user evaluation stage which has been very well received. IARIA 2024-04-14 Conference or Workshop Item PeerReviewed text en https://repository.londonmet.ac.uk/9250/3/Leveraging%20Data%20Driven%20Approach%20to%20Empower%20Assistive%20Technology.pdf Nakarmi, Sabin, Ouazzane, Karim, Yu, Qicheng, Gill, Manmeet and Khemka, Sanjana (2024) Leveraging data driven approach to empower assistive technology. In: BUSTECH 2024 conference, 14 - 18 April 2024, Venice, Italy. https://www.thinkmind.org/index.php?view=article&articleid=bustech_2024_1_10_90002 |
| spellingShingle | 000 Computer science, information & general works Nakarmi, Sabin Ouazzane, Karim Yu, Qicheng Gill, Manmeet Khemka, Sanjana Leveraging data driven approach to empower assistive technology |
| title | Leveraging data driven approach to empower assistive technology |
| title_full | Leveraging data driven approach to empower assistive technology |
| title_fullStr | Leveraging data driven approach to empower assistive technology |
| title_full_unstemmed | Leveraging data driven approach to empower assistive technology |
| title_short | Leveraging data driven approach to empower assistive technology |
| title_sort | leveraging data driven approach to empower assistive technology |
| topic | 000 Computer science, information & general works |
| url | https://repository.londonmet.ac.uk/9250/3/Leveraging%20Data%20Driven%20Approach%20to%20Empower%20Assistive%20Technology.pdf |
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