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An Empirical Research on Exploring the Trans-disciplinary Autocorrelationships Among the Social-Media Technology, MOOCs and Higher-Education Sustainability

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Innovative Technologies and Learning (ICITL 2019)

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Abstract

Base on the serious and extensive influences of declining birth-rate with rapid development of Taiwanese higher education institutions, the Taiwanese higher education institutions have started to develop the most effective MOOCs to aggressively increase comprehensive institution revenues with the lowest course costs by means of multiple digital social-media technology in order to formulate the most effective strategic sustainability for surviving in this baptism of fire. Therefore, this research intensively employed the Quality Function Deployment Method of House of Quality (QFD-HOQ) model of qualitative analysis to construct the Most Valuable Social-media Technology MOOCs Interdisciplinary Course Evaluation Model (MVSTMICEM) to induce the most valuable decisive factor of Social-media Technology MOOCs Interdisciplinary Course to deeply explore the three most critical research mainstream topics: “how to offer the most high-quality social-media technology to advance the MOOCs quality for triggering school student’s self-studying interdisciplinary interests, how to supply the most the most diversified MOOCs for attracting corporate employee’s self-studying interdisciplinary demands and how to provide the most multiple-disciplinary MOOCs with the diversified social-media technology for aggressively increasing higher education institution’s revenues with the lowest courses costs.”

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Acknowledgement

This research was supported by research project (NTCU108107) of academic research supporting project National Taichung University of Education in Taiwan.

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Correspondence to Ming-Yuan Hsieh .

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Hsieh, MY. (2019). An Empirical Research on Exploring the Trans-disciplinary Autocorrelationships Among the Social-Media Technology, MOOCs and Higher-Education Sustainability. In: Rønningsbakk, L., Wu, TT., Sandnes, F., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2019. Lecture Notes in Computer Science(), vol 11937. Springer, Cham. https://doi.org/10.1007/978-3-030-35343-8_8

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  • DOI: https://doi.org/10.1007/978-3-030-35343-8_8

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