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SPPA: Student Performance Prediction and Action framework

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

An open-source web-based learning-analytics application developed by Alalawi et al. that builds course-specific performance-prediction models, identifies at-risk students, and supports targeted interventions across the course life cycle.

Components

  • SPPA: Student Performance Prediction and Action framework: SPPA is a web-based Learning Analytics Intervention framework covering the full course life cycle: Course Design, Course Delivery, and Course Evaluation. It lets academics generate course-specific predictive models from historical continuous assessment data, run predictions after each assessment, identify at-risk students via dashboards, and deliver personalised interventions. The article states that "SPPA is implemented as a web application and is accessible by course instructors (also called academics in this paper) and students via a web browser." It integrates pedagogical principles such as constructive alignment and Hattie and Timperley's feedback model, and is released as an open-source project. (Alalawi et al. (2024))

Claims

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Key Sources

  • Alalawi, K., Athauda, R., & Chiong, R. (2024). An Extended Learning Analytics Framework Integrating Machine Learning and Pedagogical Approaches for Student Performance Prediction and Intervention. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-024-00429-7
Page metadata
Field Value
type product
id sppa-student-performance-prediction-and-action-framework
title SPPA: Student Performance Prediction and Action framework
description An open-source web-based learning-analytics application developed by Alalawi et al.
status review
product_kind software
generated by process:settle-candidates on 2026-10-27
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