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dc.contributor.authorHarmon, Casey
dc.date.accessioned2021-10-28T22:32:35Z
dc.date.available2021-10-28T22:32:35Z
dc.date.issued2018
dc.identifier.citationHarmon, C. (2018). Artificial intelligence and machine learning for all students: A meta-synthesis. Unpublished Masters Thesis, M.ed. Special Education, University of Alaska Southeast.en_US
dc.identifier.urihttp://hdl.handle.net/11122/12336
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.publisherUniversity of Alaska Southeasten_US
dc.subjectMeta-Synthesisen_US
dc.subjectLiterature Reviewen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectSmart Technologiesen_US
dc.subjectAccessing Informationen_US
dc.titleArtificial Intelligence and Machine Learning for All Students: A Meta-Synthesisen_US
dc.typeThesisen_US
refterms.dateFOA2021-10-28T22:32:35Z


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