Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/63744

Towards Empowering Educators to Create their own Smart Personal Assistants

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dc.contributor.author Winkler, Rainer
dc.contributor.author Söllner, Matthias
dc.date.accessioned 2020-01-04T07:08:18Z
dc.date.available 2020-01-04T07:08:18Z
dc.date.issued 2020-01-07
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63744
dc.description.abstract Despite a growing body of research about the design and use of Smart Personal Assistants such as Amazon’s Alexa or Google’s Assistant, little is known about their ability to help educators offering individual support in large-scale learning environments. Smart Personal Assistant ecosystems empower educators to develop their own agents without deep technological knowledge. The objective of this paper is to design and validate a method that helps educators to create Smart Personal Assistants as learning tutors. Using a design science research approach, we first gather requirements from students and educators as well as from information systems and education theory. Next, we create an alpha version of our method and evaluate it with a focus group before we instantiate our artifact in an everyday learning environment. The findings indicate that our method is able to empower educators to design Smart Personal Assistants that significantly improve students’ learning success.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Advances in Teaching and Learning Technologies
dc.subject design science research
dc.subject field experiment
dc.subject individual support
dc.subject intelligent tutoring system
dc.subject smart personal assistant
dc.title Towards Empowering Educators to Create their own Smart Personal Assistants
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2020.005
Appears in Collections: Advances in Teaching and Learning Technologies


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