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James G Lathe

Biographic Data

ID9494130
NAMEJames G Lathe
GIVEN NAMESJames G
FAMILY NAMELathe
SIGNATURELATHE J G
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities

    Open Access•Penelope J Standen, David J Brown et al.•ARTICLE•British Journal of Educational…•2020

    Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a student’s affective state, to move them out of negative states that inhibit learning, into positive states such as engagement. In spite of their obvious potential to provide the personalisation that …

  • Personalising screening of sight-threatening diabetic retinopathy - qualitative evidence to inform effective implementation

    Open Access•Peter Clarke, Simon Harding et al.•ARTICLE•BMC Public Health•2020

    Implementing variable-interval screening into clinical practice is generally acceptable to PWD and HCP with important caveats, and misconceptions must be addressed. Clear safeguards against increasing non-attendance, loss of diabetes control and alternative referral pathways are required. For risk calculation systems to be safe, reliable monitoring and clear communication is required

No prominent works on this page.

  • An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities

    Open Access•Penelope J Standen, David J Brown et al.•ARTICLE•British Journal of Educational…•2020

    Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a student’s affective state, to move them out of negative states that inhibit learning, into positive states such as engagement. In spite of their obvious potential to provide the personalisation that …

  • Personalising screening of sight-threatening diabetic retinopathy - qualitative evidence to inform effective implementation

    Open Access•Peter Clarke, Simon Harding et al.•ARTICLE•BMC Public Health•2020

    Implementing variable-interval screening into clinical practice is generally acceptable to PWD and HCP with important caveats, and misconceptions must be addressed. Clear safeguards against increasing non-attendance, loss of diabetes control and alternative referral pathways are required. For risk calculation systems to be safe, reliable monitoring and clear communication is required

Affect (linguistics) (1 works) · Boredom (1 works) · Communication (1 works) · Confidence interval (1 works) · Developmental psychology (1 works) · Diabetes mellitus (1 works) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 works) · Diabetic retinopathy (1 works) · Family medicine (1 works) · Intelligent Tutoring Systems and Adaptive Learning (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae