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Illustrative early alert system for first-year gateway courses used to demonstrate LEAGUE

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 theoretical), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The article demonstrates LEAGUE's operational value on a scenario in which "Students receive a risk score from 0 to 100 based on four indicators: no LMS login for seven days, two missing assignments, attendance below 75 percent, and a current course average below 70 percent." Students scoring 60 or higher appear on an advisor dashboard, with outreach expected within 48 hours. The case is illustrative, not an empirical evaluation.

Design Implications

Context

Requirements

  • Weekly combination of LMS, attendance, and gradebook data; advisor outreach within 48 hours for flagged students

Constraints

  • The case is a hypothetical university scenario used for demonstration, not a studied deployment

Target Learners

  • first-year students in gateway courses

Learning Goals

  • early identification of academic difficulty and targeted advising support

Claims

Examples

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Key Sources

  • S. Varadaraju and B. Vijayakumar. (2026). Beyond Compliance: A Proposed Framework for Ethical Governance of Student Data in Learning Analytics. EDULEARN26 Proceedings, IATED. https://doi.org/10.21125/edulearn.2026.1927
Page metadata
Field Value
type design
id early-alert-gateway-course-case-element
title Illustrative early alert system for first-year gateway courses used to demonstrate LEAGUE
description The article demonstrates LEAGUE's operational value on a scenario in which "Students receive a risk score from 0 to 100 based on four indicators: no LMS login for seven days, two missing assignments, attendance below...
status review
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — s-varadaraju-and-b-vijayakumar-2026

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