#5076. Educational Big Data: Predictions, Applications and Challenges

July 2026publication date
Proposal available till 17-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Management Information Systems;
Information Systems and Management;
Information Systems;
Computer Science Applications;
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Abstract:
Educational big data is becoming a strategic educational asset, exceptionally significant in advancing educational reform. Educational big data has many applications that can be used for educational administration, teaching innovation, and research management. The representative examples of such applications are student academic performance prediction, employment recommendation, and financial support for low-income students. Predictive research for the higher education stage has become an attractive area of study since it allowed us to predict student behaviour. In this survey, we will review predictive research, its applications, and its challenges. We first introduce the significance and background of educational big data. Second, we review the students academic performance prediction research, such as factors influencing students academic performance, predicting models, evaluating indices. Third, we introduce the applications of educational big data such as prediction, recommendation, and evaluation. Finally, we investigate challenging research issues in this area.
Keywords:
Educational big data; Educational data mining; Performance prediction; Predictive models

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