Academic failure in Introduction to Algebra and Introduction to Calculus ranged between 31% and 66% (2018–2022), and existing identification of struggling cases took 4–6 weeks¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Academic failure (dropout plus fail) ranged between 31% and 66% across the two subjects and years, and case identification took 4–6 weeks from course start. → Fabian Santiago-Muñoz 2025

Evidence¶

Fabian Santiago-Muñoz 2025¶

Fabian Santiago-Muñoz, Mikel Larrañaga, Jon A. Elorriaga, Ana Arruarte. (2025). Identification of Patterns to Prevent the Failure of Engineering Students. Int J Artif Intell Educ 35:3356–3405. https://doi.org/10.1007/s40593-025-00502-9

q2 · i? · associational · r2

Descriptive analysis of Registration Department records for 2,292 students (Table 1), reported in the Introduction. Failure percentages combine dropout and fail statuses for IA and IC across 2018–2022.

"Academic failure ranges between 31% and 66%, including both drop out and failure. Although the Mathematics department of the institution implemented strategies to identify and support students with needs, this measure has not been effective enough, since the identification of cases with learning difficulties usually takes between 4 and 6 weeks from the start of the course."

Discussion¶

Related Claims¶

• Pre-admission data (2018–2022) contain sufficient information to identify early patterns of dropout or course failure in first-year engineering mathematics subjects — related
• AI-powered predictive analytics improves academic performance by enabling early identification of at-risk students and timely intervention — a broader claim this one bears on