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Research on mobile learning in a teaching information service system based on a big data driven environment

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Abstract

Aiming at the challenges of mobile learning in the current big data environment and the current research status of teaching intelligent services(TIS), the article first explores the construction of mobile learning in the teaching intelligent service system(TISS) of colleges and universi-ties(C&U) from a big data driven perspective; secondly, the business process of mobile learn-ing for support and guidance, big-data-driven mobile learning intelligent service framework system is constructed, which mainly includes three levels: infrastructure layer, data resource layer, and service application layer. The functions and characteristics of each layers are dis-cussed in detail. Use big data to analyze the application status of mobile learning in college education from three aspects: overall development, resource construction, and utilization. It is proposed to increase courseware resources, reform teaching models, and use big data analysis to improve the level of teaching management continuously comments and suggestions. Re-searchers believe that the system can integrate mobile learning infrastructure, data resources, service applications and students, reconstruct the business process of mobile learning intelli-gent services, provide decision support for mobile learning services, and at the same time, it can improve learning capabilities and provide personalized the service realizes teaching stu-dents by their aptitude.

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References

  • Cervone, H. F. (2017). Evaluating social media presence A practical application of big data and analytics in informationrganizations. Digital Library Perspectives, 33(1), 2–7.

    Article  Google Scholar 

  • Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314–347. https://doi.org/10.1016/j.ins.2014.01.015

    Article  Google Scholar 

  • Fengjia, Gu. (2017). International mobile learning trend research based on a policy perspective. Adult Education, 01, 80–86.

    Google Scholar 

  • Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

    Article  Google Scholar 

  • Han, G., & Zheng, Z. (2007). Information ecological chain: A theoretical framework. Information Theory and Practice, 30(1), 18–20. https://doi.org/10.16353/j.cnki.1000-7490.2007.01.006.

  • Jintao, W. (2015). Research on the influencing factors of college students' adoption of mobile learning behavior: Taking higher normal schools institutions as an example. Distance Education in China, (1): 49–54. https://doi.org/10.13541/j.cnki.chinade.2015.01.009.

  • Keegan, D. (2000). From Distance Learning To E-learning To Mobile Learning. Open Education Research, 5, 211–217.

    Google Scholar 

  • Li, H. (2012). Characteristics, development status, and prospects of smart libraries under the Internet of Things environment. Modern Intelligence., 32(5), 48–50.

    Google Scholar 

  • Ling, Xu., & Qinhua, Z. (2013). Empirical analysis of the influencing factors of college students’ acceptance of mobile learning. Modern Distance Education Research, 4, 61–66.

    Google Scholar 

  • Lou, C., & Zhou, C. (2007). Information ecology chain: Concept, essence, and type. Library and Information Work, 51(9), 29–32.

  • Minna, L., & Zhang, Q. (2016). Mobile learning research in international higher education: Review and exhibition hope. Open Education Research, (12), 81–92. https://doi.org/10.13966/j.cnki.kfjyyj.2016.06.011.

  • Shaoqing, G., Jianjun, H., & Qingfei, Y. (2011). Overview of the development of foreign mobile learning applications. Educational Research, (05), 105–109. https://doi.org/10.13811/j.cnki.eer.2011.05.018.

  • Shiwei, W. (2011). The new model of the library in the future: Wisdom Library. Library Forum, 12, 1–5.

    Google Scholar 

  • Sugandi, L., & Kurniawan, Y. (2018). The influence of information technology on the information and service quality for the teaching and learning. International Journal of Emerging Technologies in Learning (iJET), 13(12), 230–237. https://doi.org/10.3991/ijet.v13i12.8665

    Article  Google Scholar 

  • Wang, B., Wu, H., Song, J., et al. (2017). Overview of the Development of University Libraries in 2016. University Library Work, 37(6), 20–34.

    Google Scholar 

  • Wei, W., Shaochun, Z., & Jian, L. (2009). Empirical research on college students' mobile learning. Open Education Research, (2), 81-86.

  • Wuen (2012). The construction of a smart library and its service model. Information and Information Work, 33(5), 102–04.

  • Xiaohua, D., Meilin, Z., & Li, X. (2017). Analysis of the current situation of adult mobile learners: A foundation online survey of adult learners in Sichuan Province. Adult Education, (03), 25–28. https://wenku.baidu.com/view/22e9461b31d4b14e852458fb770bf78a64293a7a.html. Accessed Apr 2017.

  • Yan, Z., Chai, C. S., & So, H. J. (2018). Creating tools for inquiry-based mathematics learning from technological pedagogical content knowledge perspectives: Collaborative design approach. Australasian Journal of Educational Technology, 34(4). https://doi.org/10.14742/ajet.3755

  • Yangping, Z. (2017). Research on Educational Technology in China since the 21st Century Hotspots and trends. Modern Educational Technology, 3, 49–54.

    Google Scholar 

  • Yiqin, C. (2013). Investigation and research on the status Quo of adult learners' mobile learning. Distance Education in China, (10), 47–52. https://doi.org/10.13541/j.cnki.chinade.2013.10.017.

  • Yong, L. (2014). Research on the construction and development of college english mobile learning model. Experimental Technology Surgery and Management, (3), 177–179. https://doi.org/10.16791/j.cnki.sjg.2014.03.049.

  • Yuguang, T., Lifang, Z., & Yu, Z. ( 2017). Research progress and evaluation of mobile learning at home and abroad. Education and occupation, (1), 101–106. https://doi.org/10.13615/j.cnki.1004-3985.2017.02.023.

  • Yu, C., Di, W., Jinming, Y., Yujun, H., & Luogen, Y. (2017). College students mobile learning survey: Take Guangxi C&U as an example. Education Observation, (2), 135–137. https://doi.org/10.16070/j.cnki.cn45-1388/g4s.2017.03.111.

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  1. Information Center, Chengde Petroleum College, Chengde, 067000, China

    Jia Qu

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  1. Jia Qu
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Correspondence to Jia Qu.

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Qu, J. Research on mobile learning in a teaching information service system based on a big data driven environment. Educ Inf Technol 26, 6183–6201 (2021). https://doi.org/10.1007/s10639-021-10614-z

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