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Ganitha Piyasa: Effective Lesson Delivery Method for Graphical Dyscalculia Students
Many children face learning disabilities, each requiring unique solutions such as physical exercises, teaching techniques, and behavioral interventions. A specific challenge lies in Graphical Dyscalculia, which hinders children's mathematical abilities. This study presents the "Ganitha Piy...
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creator | A.N., Upathissa J.A.D.I.S, Jayakody R.R.M., Fernando G.W.D.N.R., Thilakarathne Rajapaksha, Samantha Thilakarathna, Thusithanjana |
description | Many children face learning disabilities, each requiring unique solutions such as physical exercises, teaching techniques, and behavioral interventions. A specific challenge lies in Graphical Dyscalculia, which hinders children's mathematical abilities. This study presents the "Ganitha Piyasa" mobile application, tailored to help children with Graphical Dyscalculia enhance their numerical proficiency and number writing skills. The application provides a structured learning environment with fifteen progressively challenging levels. It offers performance-based feedback and evaluation, alongside comprehensive data collection recording task-specific details, completion times, and accuracy. An Artificial Neural Network (ANN) model, initially trained with the MNIST handwritten digits data set in Keras, accurately assesses number writing. Converted into a Tensor Flow Lite file, this model ensures efficient real-time evaluation. A Random Forest Classifier, utilizing metrics like average writing time and success probabilities, predicts a child's improvement in number writing skills. This aids personalized learning path-ways. The study involved 50 children who were diagnosed with Dyscalculia aged seven to ten, demonstrating the application's effectiveness. "Ganitha Piyasa" boasts an intuitive interface that encourages engagement and parental involvement. Parents can monitor their child's progress through earned achievement stars, motivating sustained usage. The application's methodology aligns with medical expertise, ensuring effective enhancement of children's numerical skills. |
doi_str_mv | 10.1109/ICAC60630.2023.10417645 |
format | conference_proceeding |
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A specific challenge lies in Graphical Dyscalculia, which hinders children's mathematical abilities. This study presents the "Ganitha Piyasa" mobile application, tailored to help children with Graphical Dyscalculia enhance their numerical proficiency and number writing skills. The application provides a structured learning environment with fifteen progressively challenging levels. It offers performance-based feedback and evaluation, alongside comprehensive data collection recording task-specific details, completion times, and accuracy. An Artificial Neural Network (ANN) model, initially trained with the MNIST handwritten digits data set in Keras, accurately assesses number writing. Converted into a Tensor Flow Lite file, this model ensures efficient real-time evaluation. A Random Forest Classifier, utilizing metrics like average writing time and success probabilities, predicts a child's improvement in number writing skills. This aids personalized learning path-ways. The study involved 50 children who were diagnosed with Dyscalculia aged seven to ten, demonstrating the application's effectiveness. "Ganitha Piyasa" boasts an intuitive interface that encourages engagement and parental involvement. Parents can monitor their child's progress through earned achievement stars, motivating sustained usage. The application's methodology aligns with medical expertise, ensuring effective enhancement of children's numerical skills.</description><identifier>EISSN: 2837-5424</identifier><identifier>EISBN: 9798350358131</identifier><identifier>DOI: 10.1109/ICAC60630.2023.10417645</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial neural networks ; Data models ; Dyscalculia ; Education ; Graphical Dyscalculia ; lesson delivery app ; Mobile application ; Mobile applications ; Operating systems ; Pediatrics ; Writing</subject><ispartof>2023 5th International Conference on Advancements in Computing (ICAC), 2023, p.263-267</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10417645$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10417645$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>A.N., Upathissa</creatorcontrib><creatorcontrib>J.A.D.I.S, Jayakody</creatorcontrib><creatorcontrib>R.R.M., Fernando</creatorcontrib><creatorcontrib>G.W.D.N.R., Thilakarathne</creatorcontrib><creatorcontrib>Rajapaksha, Samantha</creatorcontrib><creatorcontrib>Thilakarathna, Thusithanjana</creatorcontrib><title>Ganitha Piyasa: Effective Lesson Delivery Method for Graphical Dyscalculia Students</title><title>2023 5th International Conference on Advancements in Computing (ICAC)</title><addtitle>ICAC</addtitle><description>Many children face learning disabilities, each requiring unique solutions such as physical exercises, teaching techniques, and behavioral interventions. A specific challenge lies in Graphical Dyscalculia, which hinders children's mathematical abilities. This study presents the "Ganitha Piyasa" mobile application, tailored to help children with Graphical Dyscalculia enhance their numerical proficiency and number writing skills. The application provides a structured learning environment with fifteen progressively challenging levels. It offers performance-based feedback and evaluation, alongside comprehensive data collection recording task-specific details, completion times, and accuracy. An Artificial Neural Network (ANN) model, initially trained with the MNIST handwritten digits data set in Keras, accurately assesses number writing. Converted into a Tensor Flow Lite file, this model ensures efficient real-time evaluation. A Random Forest Classifier, utilizing metrics like average writing time and success probabilities, predicts a child's improvement in number writing skills. This aids personalized learning path-ways. The study involved 50 children who were diagnosed with Dyscalculia aged seven to ten, demonstrating the application's effectiveness. "Ganitha Piyasa" boasts an intuitive interface that encourages engagement and parental involvement. Parents can monitor their child's progress through earned achievement stars, motivating sustained usage. The application's methodology aligns with medical expertise, ensuring effective enhancement of children's numerical skills.</description><subject>Artificial neural networks</subject><subject>Data models</subject><subject>Dyscalculia</subject><subject>Education</subject><subject>Graphical Dyscalculia</subject><subject>lesson delivery app</subject><subject>Mobile application</subject><subject>Mobile applications</subject><subject>Operating systems</subject><subject>Pediatrics</subject><subject>Writing</subject><issn>2837-5424</issn><isbn>9798350358131</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kNtKw0AYhFdBsNS8geC-QOK_h2R3vZO0RiGiUL0ueyQrsSnZVMjbG6hefQwDw8wgdEegIATU_Uv9WFdQMSgoUFYQ4ERUvLxAmRJKshJYKQkjl2hFJRN5ySm_RllKXwDAKHDg1QrtGn2IU6fxe5x10g94G4K3U_zxuPUpDQe88f2ixhm_-qkbHA7DiJtRH7todY83c1pgT33UeDednD9M6QZdBd0nn_1xjT6fth_1c96-NUvpNo-EqCl3kgcjpXLCOseMpyBUYNIJw40xltLgqLLcA9UiCGv0Mk8xKmDxiCsrtka359zovd8fx_itx3n__wP7BdXHUuQ</recordid><startdate>20231207</startdate><enddate>20231207</enddate><creator>A.N., Upathissa</creator><creator>J.A.D.I.S, Jayakody</creator><creator>R.R.M., Fernando</creator><creator>G.W.D.N.R., Thilakarathne</creator><creator>Rajapaksha, Samantha</creator><creator>Thilakarathna, Thusithanjana</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20231207</creationdate><title>Ganitha Piyasa: Effective Lesson Delivery Method for Graphical Dyscalculia Students</title><author>A.N., Upathissa ; J.A.D.I.S, Jayakody ; R.R.M., Fernando ; G.W.D.N.R., Thilakarathne ; Rajapaksha, Samantha ; Thilakarathna, Thusithanjana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i119t-d84fb889d7cdd3be2079f38d7b4bbbc22fd29c4e02a7f7cba17693270bc21d563</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial neural networks</topic><topic>Data models</topic><topic>Dyscalculia</topic><topic>Education</topic><topic>Graphical Dyscalculia</topic><topic>lesson delivery app</topic><topic>Mobile application</topic><topic>Mobile applications</topic><topic>Operating systems</topic><topic>Pediatrics</topic><topic>Writing</topic><toplevel>online_resources</toplevel><creatorcontrib>A.N., Upathissa</creatorcontrib><creatorcontrib>J.A.D.I.S, Jayakody</creatorcontrib><creatorcontrib>R.R.M., Fernando</creatorcontrib><creatorcontrib>G.W.D.N.R., Thilakarathne</creatorcontrib><creatorcontrib>Rajapaksha, Samantha</creatorcontrib><creatorcontrib>Thilakarathna, Thusithanjana</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>A.N., Upathissa</au><au>J.A.D.I.S, Jayakody</au><au>R.R.M., Fernando</au><au>G.W.D.N.R., Thilakarathne</au><au>Rajapaksha, Samantha</au><au>Thilakarathna, Thusithanjana</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Ganitha Piyasa: Effective Lesson Delivery Method for Graphical Dyscalculia Students</atitle><btitle>2023 5th International Conference on Advancements in Computing (ICAC)</btitle><stitle>ICAC</stitle><date>2023-12-07</date><risdate>2023</risdate><spage>263</spage><epage>267</epage><pages>263-267</pages><eissn>2837-5424</eissn><eisbn>9798350358131</eisbn><abstract>Many children face learning disabilities, each requiring unique solutions such as physical exercises, teaching techniques, and behavioral interventions. A specific challenge lies in Graphical Dyscalculia, which hinders children's mathematical abilities. This study presents the "Ganitha Piyasa" mobile application, tailored to help children with Graphical Dyscalculia enhance their numerical proficiency and number writing skills. The application provides a structured learning environment with fifteen progressively challenging levels. It offers performance-based feedback and evaluation, alongside comprehensive data collection recording task-specific details, completion times, and accuracy. An Artificial Neural Network (ANN) model, initially trained with the MNIST handwritten digits data set in Keras, accurately assesses number writing. Converted into a Tensor Flow Lite file, this model ensures efficient real-time evaluation. A Random Forest Classifier, utilizing metrics like average writing time and success probabilities, predicts a child's improvement in number writing skills. This aids personalized learning path-ways. The study involved 50 children who were diagnosed with Dyscalculia aged seven to ten, demonstrating the application's effectiveness. "Ganitha Piyasa" boasts an intuitive interface that encourages engagement and parental involvement. Parents can monitor their child's progress through earned achievement stars, motivating sustained usage. The application's methodology aligns with medical expertise, ensuring effective enhancement of children's numerical skills.</abstract><pub>IEEE</pub><doi>10.1109/ICAC60630.2023.10417645</doi><tpages>5</tpages></addata></record> |
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ispartof | 2023 5th International Conference on Advancements in Computing (ICAC), 2023, p.263-267 |
issn | 2837-5424 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Artificial neural networks Data models Dyscalculia Education Graphical Dyscalculia lesson delivery app Mobile application Mobile applications Operating systems Pediatrics Writing |
title | Ganitha Piyasa: Effective Lesson Delivery Method for Graphical Dyscalculia Students |
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