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A Personal Growth System Supporting the Sustainable Development of Students Based on Intelligent Graph Element Technology

Author

Listed:
  • Fengying Li

    (Lifelong Education College, Shanghai Jiaotong University, Shanghai 200240, China)

  • Ge Yu

    (School of Education, Shanghai Jiaotong University, Shanghai 200240, China)

  • Congjing Mu

    (School of Education, Shanghai Jiaotong University, Shanghai 200240, China)

  • Qingshui Xue

    (School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China)

  • Shih-Pang Tseng

    (School of Software and Big Data, Changzhou College of Information Technology, Changzhou 213164, China)

  • Tongchao Wang

    (Lifelong Education College, Shanghai Jiaotong University, Shanghai 200240, China)

Abstract

In recent years, the sustainable development of education has become an increasing concern, and new technology characterized by intelligence has played an important role in promoting it. However, facing the endless stream of teaching platforms, learning platforms, student management platforms and learning APPs, teachers and students are tired of coping. Meanwhile, there has been a serious lack of real information about student growth, especially in the fields of electronic graphics, and audio and video materials. At present, there is no continuous student growth system that can be used over the course of their life, which is very unfavorable to their individual development. Graphic code is a technology with the potential to solve these problems; however, the existing graphic code technology suffers from clear deficiencies in the realization of a personalized student growth system that incorporates intelligence, security and sustainability. In response to this, this paper proposes a new generation of graphic code technology, namely intelligent graph element technology (IGET). Further, a new sustainable personalized student growth system model is designed based on artificial intelligence, big data analysis and intelligent graph element technologies, and the architecture and implementation of this system platform are completed. Finally, a student growth system based on intelligent code is verified through by an analysis of the results of a questionnaire survey. The research results show that, compared with the traditional student management system, the student growth system based on an intelligent graph element code has obvious advantages in convenience, intelligence, precision, security, and sustainability.

Suggested Citation

  • Fengying Li & Ge Yu & Congjing Mu & Qingshui Xue & Shih-Pang Tseng & Tongchao Wang, 2022. "A Personal Growth System Supporting the Sustainable Development of Students Based on Intelligent Graph Element Technology," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7196-:d:837131
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    References listed on IDEAS

    as
    1. Anthony Wehrer & Jay Yellen, 2014. "The design and implementation of an interactive course-timetabling system," Annals of Operations Research, Springer, vol. 218(1), pages 327-345, July.
    2. Singh RAJENDRA & Bamoriya HEMANT, 2013. "QR codes in print advertising: elucidating Indian vogue using content analysis," Management & Marketing, Economic Publishing House, vol. 8(2), Summer.
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