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Examining the role of automation transparency in learning with intelligent tutoring systems

dc.contributor.authorPharmer, Rebecca L., author
dc.contributor.authorClegg, Benjamin, advisor
dc.contributor.authorWickens, Christopher, committee member
dc.contributor.authorMartey, Rosa, committee member
dc.contributor.authorTompkins, Sara-Anne, committee member
dc.date.accessioned2023-08-28T10:27:59Z
dc.date.available2023-08-28T10:27:59Z
dc.date.issued2023
dc.description.abstractIn the present study, a training system that either assigned restudy of concepts based on learner performance (adaptive instruction) or provided a set amount of restudy (static instruction) was designed to investigate whether adding automation transparency into an intelligent tutoring system would improve learning outcomes in an assembly task. Participants received instruction on the assembly process of 8 unique shapes. They were provided with error sensitive feedback that served the transparency manipulation, where some participants received explanations of why they were receiving restudy or were given generic feedback. Findings indicate that adaptive instruction may be most beneficial to learning when automation transparency provides learners with an understanding of how the system is responding to their performance. Findings and implications to be discussed.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierPharmer_colostate_0053N_17981.pdf
dc.identifier.urihttps://hdl.handle.net/10217/236867
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectautomation
dc.subjectlearning
dc.subjectadaptive training
dc.subjecttransparency
dc.subjectintelligent tutoring systems
dc.titleExamining the role of automation transparency in learning with intelligent tutoring systems
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplinePsychology
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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