Journal of East China Normal University(Natural Science) >

2018 , Vol. 2018 >Issue 5: 17 - 29

DOI: https://doi.org/10.3969/j.issn.1000-5641.2018.05.002

A review of non-intrusive sensing based personalized resource recommendations for help-seekers in education

  • TANG Lu-min ,
  • YU Ruo-nan ,
  • DONG Qi-wen ,
  • HONG Dao-cheng ,
  • FU Yun-bin
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  • School of Data Science and Engineering, East China Normal University, Shanghai 200062, China

Received date: 2018-07-09

  Online published: 2018-09-26

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Abstract

Mobile devices, data storage, and computing platforms of modern information technology have accelerated the integration of the information technology and education disciplines, promoted the "Education Informatization 2.0" Plan, and provided a solid technical foundation for academic help-seeking. With the help of new sensing mechanisms and techniques, non-intrusive sensing of help-seeking and personalized recommendation methods can now be used for teaching practices in academia. This study reviews the research progress of non-intrusive sensing based personalized resource recommendations, offers detailed analysis, and lists possible directions for research; potential future research topics include non-intrusive sensing for help-seeking, continuous association analysis and integration for multidimensional data, and personalized resource recommendations for help-seekers. This study also makes contributions to precision education and personalized education for the China Education Informatization 2.0 Plan by providing solutions for non-intrusive sensing based personalized resource recommendations for help-seekers.

Key words： help-seeking; non-interventional perception; education informatization 2.0; personalized education; precision education

Cite this article

TANG Lu-min , YU Ruo-nan , DONG Qi-wen , HONG Dao-cheng , FU Yun-bin . A review of non-intrusive sensing based personalized resource recommendations for help-seekers in education[J]. Journal of East China Normal University(Natural Science), 2018 , 2018(5) : 17 -29 . DOI: 10.3969/j.issn.1000-5641.2018.05.002

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