An Internet+ Education Platform for Academic Resource and Status Data Management

An Internet+ Education Platform for Academic Resource and Status Data Management

Hailuo Yu, Bo Wang, Zhifeng Zhang
DOI: 10.4018/IJICTE.330251
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Abstract

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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Introduction

In 2015, 193 member countries of the United Nations (UN) adopted the 2030 Agenda and its 17 interconnected sustainable development goals (SDG) related to social, economic, and environmental growth (United Nations, 2023a). SDG 4, which focuses on quality education, ensures inclusive and equitable education. It also provides lifelong learning opportunities by addressing educational resource imbalance issues, especially for females in low-income developing countries.

Although already halfway to the 2030 Agenda deadline, all the SDG (including SDG 4) are proceeding slowly (United Nations, 2023b). From 2015 to 2021, the primary school completion rate increased by only two percentage points worldwide, mainly due to COVID-19, an economic downturn, and war (United Nations, 2023b). If all countries maintain the status without acting, only one-sixth of the countries will achieve SDG 4. As a result, an estimated 84 million children and youth will be left out of school (United Nations, 2023b).

In the era of Internet+, information and communication technologies (ICTs) provide efficient ways to share resources and integrate or analyze information. For example, teachers can use online learning platforms or new media like Webcasts to upload teaching resources for students to access at any time and any place. With the aid of artificial intelligence (AI) algorithms, on-demand personalized education or learning schemas can, therefore, be designed for all students (Cope et al., 2021; Smirani et al., 2022). These technologies and platforms can then be used to solve educational resource imbalance issues.

Several studies have exploited ICTs for the analysis of education data, providing reference information for students and teachers to improve the quality of education. The studies assumed that education data are given without consideration for more comprehensive information and various perspectives. In addition, the studies did not provide a platform to effectively share resources and remedy resource imbalance. In fact, only a few of the studies featured personalized education via ICTs.

In the current article, the authors design an Internet+ education platform with comprehensive functions to improve quality education with the help of ICTs. To the best of the authors’ knowledge, this study is the first of its kind. Through the Internet+ platform, users can access services with devices like personal computers, smart phones, or innovative wearable devices. Accessibility can enhance the interest of younger students and teachers.

In addition, the authors take the education effect analysis as a function case of the designed platform to present a prediction algorithm for academic success based on logistic regression. Then, the authors can study the factors affecting academic success, providing import reference information for teachers to understand the impact of quality education on students.

In brief, this study facilitates the achievement of SDG 4 through the following objectives:

  • 1.

    Provide a method to share educational resources across the globe

  • 2.

    Provide a valid method for collecting and fusing comprehensive education information

  • 3.

    Provide personalized learning strategies

This article is organized as follows. The following section analyzes related works. Then, the article discusses the Internet+ platform and proposes the logistic regression-based prediction algorithm for academic success. This is followed by a section that evaluates the performance of the proposed prediction algorithm. Finally, the article presents a conclusion section.

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Several studies have explored the application of ICTs on analyzing education data. The research has aimed to provide reference information for teachers and students to enhance their teaching abilities and learning outcomes. This section analyzes existing work related to education effect assessment, teaching of quality education, personalized learning design, and academic success prediction, respectively.

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