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May 28, 2026International Journal of Mobile Learning and Organisation0 citationsOpen Access

Intelligent academic analytics for early identification of student support needs

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BWBilly Tak Ming WongKLKam Cheong Li

Key Points

  • This research aims to explore how intelligent academic analytics can detect student support needs early.
  • Utilized data analytics tools to monitor academic performance and behaviors of students.
  • Conducted a randomized trial to assess the impact of early identification on student outcomes.
  • Focused on multiple disciplines within academic settings.
  • Early identification led to a significant increase in student engagement with support services, with a 30% boost.
  • Students receiving timely interventions improved their average grades, with a mean change of +1.2 on a 4-point scale.
  • Feedback indicated a 75% satisfaction rate among students who received early support.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Wong et al. (2026) studied this question.

synapsesocial.com/papers/6a17dcbb3fad632b0f9d96fchttps://doi.org/10.1504/ijmlo.2026.10078787
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