Essays about: "specific learning disorder"

Showing result 1 - 5 of 6 essays containing the words specific learning disorder.

  1. 1. InclusiveRender A metaverse Engine prototype to support Accessible Environments for people with ASD

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Oscar Borg; Niklas Enberg; [2023]
    Keywords : metaverse; Autism Spectrum Disorder; Virtual Reality; Immersive Learning; Personalised Learning; Machine Learning; Accessibility;

    Abstract : The metaverse has seen increased usages in its capabilities as an educational tool by immersing users in virtual scenarios. This technology is inaccessible for user groups that require higher degrees of accessibility and personalization, as most metaverse implementations do not adjust to the user’s needs. READ MORE

  2. 2. “ - Cause I like working when I’m happy” : A case study of students in linguistic vulnerability and verbal interactions with peers in the social studies classroom

    University essay from Malmö universitet/Institutionen för skolutveckling och ledarskap (SOL)

    Author : Lina Knudsen; [2023]
    Keywords : classroom discussions; Developmental Language Disorder; group work; Individuals and Societies; International Baccalaureate; linguistic vulnerability; middle school; social studies; verbal interaction;

    Abstract : Syfte Syftet med denna studie är att bidra med insikt i hur Mellanårsprogrammets (MYP) elever i språklig sårbarhet och deras lärare upplever verbala interaktioner i klassen med elevernas kamrater i Individer och samhällen (I&S), ett samhällskunskapsämne inom International Baccalaureate läroplan.  Forskningsfrågor · Hur ser MYP-lärare på den effekt kamrater har på elever i språklig sårbarhet under verbala interaktioner i klassen och hur stödjer dessa lärare elever i språklig sårbarhet under dessa interaktioner i I&S?   · How do MYP students in linguistic vulnerability experience and understand verbal in-class interactions with peers in the I&S classroom and how do they experience the support given to them by their teachers during these interactions?  Theoretical Framework The theoretical framework of this case study is based on the sociocultural perspective as seen in Vygotsky’s work (1987), which have been developed further by Säljö (2000) and Kozulin (2003). READ MORE

  3. 3. Deep Learning-Based Automated Landmark Localization for Evan’s Index Computation

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Richards Britto Christu Dhas; [2023]
    Keywords : ;

    Abstract : Hydrocephalus is a neurological disorder characterized by the accumulation of cerebrospinal fluid in the brain, leading to an enlargement of the ventricular system. Among its subtypes is idiopathic normal pressure hydrocephalus (iNPH), characterized by normal cerebrospinal fluid pressure. READ MORE

  4. 4. On dysgraphia diagnosis support via the automation of the BVSCO test scoring : Leveraging deep learning techniques to support medical diagnosis of dysgraphia

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Riccardo Sommaruga; [2022]
    Keywords : Dysgraphia; Handwritten Text Recognition; Graphemes; Optical Character Recognition; Artificial Neural Networks; BVSCO-2; Sequence Alignment; Dysgrafi; handskriven textigenkänning; grafem; optisk teckenigenkänning; artificiella neurala nätverk; BVSCO-2; sekvensjustering;

    Abstract : Dysgraphia is a rather widespread learning disorder in the current society. It is well established that an early diagnosis of this writing disorder can lead to improvement in writing skills. READ MORE

  5. 5. Exploring DeepSEA CNN and DNABERT for Regulatory Feature Prediction of Non-coding DNA

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jacob Stachowicz; [2021]
    Keywords : Machine Learning; Computer Science; Bioinformatics; Genomics; Transformer; Natural Language Processing; Whole Genome Sequencing; Non-codingDNA; DeepSEA; CNN; DNABert; BERT; DanQ; Biomedical Science; Computational Biology; AuROC; AUPRC; Maskininlärning; Datavetenskap; Bioinformatik; Genomik; Transformer; Språkteknologi; Helgenomsekvensering; icke-kod DNA; DeepSEA; CNN; DNABert; BERT; DanQ; Biomedicinsk vetenskap; Beräkningsbiologi; AuROC; AUPRC;

    Abstract : Prediction and understanding of the regulatory effects of non-coding DNA is an extensive research area in genomics. Convolutional neural networks have been used with success in the past to predict regulatory features, making chromatin feature predictions based solely on non-coding DNA sequences. READ MORE