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    Real-Time Prediction of Science Student Learning Outcomes Using Machine Learning Classification of Hemodynamics During Virtual Reality and Online Learning Sessions

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    Author
    Lamb, Richard; Knut Neumann, Knut; Linder, Kayleigh A.
    URI
    http://hdl.handle.net/10342/11744
    Subject
     Science student learning; Functional near infrared spectrometry (fNIRS); Student prediction 
    Date
    2022
    Citation:
    APA:
    Lamb, Richard, & Knut Neumann, Knut, & Linder, Kayleigh A.. (January 2022). Real-Time Prediction of Science Student Learning Outcomes Using Machine Learning Classification of Hemodynamics During Virtual Reality and Online Learning Sessions. , (), - . Retrieved from http://hdl.handle.net/10342/11744

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Lamb, Richard, and Knut Neumann, Knut, and Linder, Kayleigh A.. "Real-Time Prediction of Science Student Learning Outcomes Using Machine Learning Classification of Hemodynamics During Virtual Reality and Online Learning Sessions". . . (), January 2022. September 26, 2023. http://hdl.handle.net/10342/11744.
    Chicago:
    Lamb, Richard and Knut Neumann, Knut and Linder, Kayleigh A., "Real-Time Prediction of Science Student Learning Outcomes Using Machine Learning Classification of Hemodynamics During Virtual Reality and Online Learning Sessions," , no. (January 2022), http://hdl.handle.net/10342/11744 (accessed September 26, 2023).
    AMA:
    Lamb, Richard, Knut Neumann, Knut, Linder, Kayleigh A.. Real-Time Prediction of Science Student Learning Outcomes Using Machine Learning Classification of Hemodynamics During Virtual Reality and Online Learning Sessions. . January 2022; (): . http://hdl.handle.net/10342/11744. Accessed September 26, 2023.
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