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IoTutor: How Cognitive Computing Can Be Applied to Internet of Things Education
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (Parallel Computing)
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (Parallel Computing)ORCID iD: 0000-0002-4146-9062
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0001-8635-4069
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-0512-6350
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2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present IoTutor that is a cognitive computing solution for education of students in the IoT domain. We implement the IoTutor as a platform-independent web-based application that is able to interact with users via text or speech using natural language. We train the IoTutor with selected scientific publications relevant to the IoT education. To investigate users' experience with the IoTutor, we ask a group of students taking an IoT master level course at the Linnaeus University to use the IoTutor for a period of two weeks. We ask students to express their opinions with respect to the attractiveness, perspicuity, efficiency, stimulation, and novelty of the IoTutor. The evaluation results show a trend that students express an overall positive attitude towards the IoTutor with majority of the aspects rated higher than the neutral value.

Place, publisher, year, edition, pages
Springer, 2019. p. 1-16
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238 ; 548
Keywords [en]
Internet of Things (IoT), education, cognitive computing, IBM Watson
National Category
Computer Systems
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-80835DOI: 10.1007/978-3-030-15651-0_18Scopus ID: 2-s2.0-85064686693ISBN: 978-3-030-15651-0 (electronic)ISBN: 978-3-030-15650-3 (print)OAI: oai:DiVA.org:lnu-80835DiVA, id: diva2:1291809
Conference
IFIPIoT 2018
Funder
Knowledge Foundation, 20150088, 20150259Available from: 2019-02-26 Created: 2019-02-26 Last updated: 2019-08-29Bibliographically approved

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Memeti, SuejbPllana, SabriFerati, MexhidKurti, ArianitJusufi, Ilir
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Citation style
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Language
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Output format
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