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IoTutor: How Cognitive Computing Can Be Applied to Internet of Things Education

Abstract : 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.
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Contributor : Hal Ifip <>
Submitted on : Tuesday, May 4, 2021 - 6:07:35 PM
Last modification on : Tuesday, May 4, 2021 - 6:13:48 PM


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Suejb Memeti, Sabri Pllana, Mexhid Ferati, Arianit Kurti, Ilir Jusufi. IoTutor: How Cognitive Computing Can Be Applied to Internet of Things Education. 1st IFIP International Internet of Things Conference (IFIPIoT), Sep 2018, Poznan, Poland. pp.218-233, ⟨10.1007/978-3-030-15651-0_18⟩. ⟨hal-03217364⟩



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