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    Artificial Intelligence and Machine Learning for All Students: A Meta-Synthesis

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    Author
    Harmon, Casey
    Keyword
    Meta-Synthesis
    Literature Review
    Artificial Intelligence
    Smart Technologies
    Accessing Information
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    URI
    http://hdl.handle.net/11122/12336
    Abstract
    This meta-synthesis investigates the increasingly powerful and promising fields of artificial intelligence and machine learning as these technologies filter into the sphere of education. Smart technologies have been quickly gaining momentum in our society and have piqued the interest of many educators and administrators that are considering early adoption and applications of these new and promising technologies that may be able to offer teachers, administrators, and students new ways to access information and student learning. However, it is not without some resistance toward these technologies, that we consider their diverse applications in classrooms. This research of 43 articles address the applications, caveats, biases, and possibilities that these new, smart technologies using artificial intelligence and machine learning can offer to improve the education of students with and without disabilities.
    Date
    2018
    Publisher
    University of Alaska Southeast
    Type
    Thesis
    Citation
    Harmon, C. (2018). Artificial intelligence and machine learning for all students: A meta-synthesis. Unpublished Masters Thesis, M.ed. Special Education, University of Alaska Southeast.
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    Special Education Masters Program Theses

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