互联网+教育学术资源与状态数据管理平台

IF 1.5 Q2 EDUCATION & EDUCATIONAL RESEARCH International Journal of Information and Communication Technology Education Pub Date : 2023-09-21 DOI:10.4018/ijicte.330251
Hailuo Yu, Bo Wang, Zhifeng Zhang
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引用次数: 0

摘要

优质教育目标是联合国希望到2023年实现的可持续发展目标之一。虽然要实现这一目标还有很长的路要走,但信息和通信技术为大大加强和加速这一进程提供了有效的工具。因此,在本章中,作者设计了一个互联网+教育平台,方便所有参与者有效、高效地进行素质教育,利用各种ICT提供广泛的智能素质教育工具。该平台提供的功能可以方便地由每个用户在任何终端设备上使用,这有助于提高学生和年轻教师的学习和教育兴趣。此外,他们以学业成功为例,通过平台上的机器学习算法研究影响素质教育效果的因素。他们提出了一种基于lr的算法来预测本科生的学业成功,以发现素质教育问题。实验结果验证了基于lr的算法的优越性能。
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An Internet+ Education Platform for Academic Resource and Status Data Management
The quality education goal is a Sustainable Development Goal (SDG) that the United Nations aim to achieve by 2023. While there is still a long way to go to achieve the goal, information and communications technologies (ICT) provide efficient tools to substantially strengthen and accelerate the process. Thus, in this chapter, the authors design an Internet+ education platform to facilitate all participants conducting quality education effectively and efficiently, providing extensive intelligent quality education tools by exploiting various ICT. Functions provided by the platform can be conveniently used by each user over any kind of end devices, which helps to increase the interests of students and younger teachers in learning and education. In addition, taking the academic success as a case, they study factors influencing the quality education effect by machine learning algorithms on the platform. They propose an LR-based algorithm to predict the academic success of undergraduates to find quality education issues. Experiment results verify the superior performance of the LR-based algorithm.
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来源期刊
CiteScore
4.20
自引率
10.00%
发文量
26
期刊介绍: IJICTE publishes contributions from all disciplines of information technology education. In particular, the journal supports multidisciplinary research in the following areas: •Acceptable use policies and fair use laws •Administrative applications of information technology education •Corporate information technology training •Data-driven decision making and strategic technology planning •Educational/ training software evaluation •Effective planning, marketing, management and leadership of technology education •Impact of technology in society and related equity issues
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