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Research on Evaluation of Smart Learning Environment in Universities Based on AHP-FCE: A Case Study of Central China Normal University

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12555))

Abstract

With the rapid development of the Internet of Things (IoT), big data, Artificial Intelligence (AI) and other emerging technologies, the Smart Learning Environment (SLE) has emerged. This paper takes Central China Normal University as an example to evaluate SLE in universities. Taking the physical, resource and social of SLE as the first-level indexes of the evaluation index system, an index system with 3 first-level indexes and 26 second-level indexes was constructed by referring to relevant literature and the actual needs of teachers and students. According to this evaluation index system, a questionnaire was designed to collect data. Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) were used to analyze the sample data and evaluate SLE, which can provide reference for the subsequent improvement of SLE.

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Acknowledgements

This research is financially supported by the National Key Research and Development Program of China (Grant No. 2018YFB1004504) and Central China Normal University (Grant No. CCNU20ZN009).

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Correspondence to Zhicheng Dai .

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Dai, Z., Wang, M., Liu, F. (2020). Research on Evaluation of Smart Learning Environment in Universities Based on AHP-FCE: A Case Study of Central China Normal University. In: Huang, TC., Wu, TT., Barroso, J., Sandnes, F.E., Martins, P., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2020. Lecture Notes in Computer Science(), vol 12555. Springer, Cham. https://doi.org/10.1007/978-3-030-63885-6_36

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  • DOI: https://doi.org/10.1007/978-3-030-63885-6_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63884-9

  • Online ISBN: 978-3-030-63885-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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