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Autor/inn/enGupta, Sambhav; Chen, Yu
TitelSupporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study
QuelleIn: Journal of Information Systems Education, 33 (2022) 1, S.98-108 (13 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1055-3096
SchlagwörterInclusion; Undergraduate Students; At Risk Students; Artificial Intelligence; Technology Uses in Education; Intelligent Tutoring Systems; Disadvantaged Youth; Students with Disabilities; Learning Disabilities; Feedback (Response); Accessibility (for Disabled); Socialization; Mental Health; Student Responsibility; Peer Teaching; English Language Learners; Student Diversity; Cognitive Style; Learning Modalities
AbstractSupporting student academic success has been one of the major goals for higher education. However, low teacher-to-student ratio makes it difficult for students to receive sufficient and personalized support that they might want to. The advancement of artificial intelligence (AI) and conversational agents, such as chatbots, has provided opportunities for assisting learning for different types of students. This research aims at investigating the opportunities and requirements of chatbots as an intelligent helper to facilitate equity in learning. We developed a chatbot as an experimental platform to investigate the design opportunities of using chatbots to support inclusive learning. Through a chatbot-led user study with 215 undergraduate students, we found chatbots provide the opportunity to support students who are disadvantaged, with diverse life environments, and with varied learning styles. This could be achieved through an accessible, interactive, and confidential way. (As Provided).
AnmerkungenJournal of Information Systems Education. e-mail: editor@jise.org; Web site: http://www.jise.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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