Use of Sensor Technologies in Online Courses in Post-COVID-19 Era

نویسندگان

چکیده

In this study, educational social learning theory and a statistical multiple-criteria decisionmaking (MCDM) methodology are creatively cross-employed to comprehensively cross-evaluate online courses sensor technologies. This was accomplished by means of an in-depth survey large-scale current online-course users professional experts with the highest research reliability, validity, accuracy, representativeness. The three most valuable contributive conclusions study as follows: (1) repurposing technology function (RTF) can combine software (SS), motion (MS), environment (ES) technologies not only detect moving objects but also achieve cognition in (e.g., using face sensor) extract emotions course participants response words phrases during lectures increase performance. (2) professionalization (CPTF) merge SS, MS, ES control hardware devices equipment depth span content strengthen (3) evaluation (CETF) consolidate empirically evaluate implementation indirectly appraise © 2021 M Y U Scientific Publishing Division. All rights reserved.

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ژورنال

عنوان ژورنال: Sensors and Materials

سال: 2021

ISSN: ['0914-4935', '2435-0869']

DOI: https://doi.org/10.18494/sam.2021.3287