A summary of personalized learning research

Shi, X.; Tian, M.; Zhang, J.

doi:10.1049/icp.2022.1453

Cited by 2 publications

(1 citation statement)

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“…To propose a "dual-collaborative" computer skills talent training program both inside and outside the classroom, this paper uses the visualization software CiteSpace [3] to analyze literature data from the past decade in China, including publication volume analysis, keyword co-occurrence analysis, cluster analysis, and emergent analysis . This analysis provides objective and effective information support for the talent training program [4,5]…”

Section: Introductionmentioning

confidence: 99%

Research on the construction of a "dual-collaborative" education system in computer-related majors based on data analysis

2024

IJNDE

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In recent years, various universities have been actively exploring different education systems aimed at enhancing students' overall capabilities and meeting society's demand for labor force. This paper reviews the development of domestic research on the dual-collaborative education system over the past decade, highlighting the research hotspots and trends. The CiteSpace literature visualization software is used to visually analyze the knowledge map of literature data on the " dual-collaborative" theme in the CNKI Chinese database from 2013 to 2022. Sample data is analyzed for quantity, keyword co-occurrence, clustering, emergence, and timeline. Based on previous research, the authors propose a plan for the construction of a " dual-collaborative" education system, which achieves mapping among the "3+1" curriculum system, "1+1+N" extracurricular activities, and "three-stage" 100,000-line code training through the " dual-collaborative" mechanism both inside and outside the classroom and the school.

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Section: Introductionmentioning

confidence: 99%

Research on the construction of a "dual-collaborative" education system in computer-related majors based on data analysis

2024

IJNDE

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Study on the influence of online course design on Students’ online learning satisfaction -- The moderating effect of MOOC platform quality

Hu,

Wei,

Zhou

et al. 2024

Applied Mathematics and Nonlinear Sciences

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The online education model has become an important form of integrated innovation and development of colleges and universities, and how to improve students’ online learning satisfaction through online course design has become a key indicator for evaluating online education. Based on 265 student sample survey data, this paper empirically studies the mechanism of influence of online course design on students’ online learning satisfaction and examines the mediating role of online interaction and the moderating effect of MOOC platform quality. The results show that: Online course design positively affects students’ online learning satisfaction; Online interaction plays a partial mediating role between online course design and online learning satisfaction; The quality of MOOC platform positively moderates the relationship between online course design and online interaction; On this basis, the article puts forward corresponding teaching suggestions, to provide theoretical basis for the development of online education.

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A summary of personalized learning research

Cited by 2 publications

References 0 publications

Research on the construction of a "dual-collaborative" education system in computer-related majors based on data analysis

Research on the construction of a "dual-collaborative" education system in computer-related majors based on data analysis

Study on the influence of online course design on Students’ online learning satisfaction -- The moderating effect of MOOC platform quality

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