Analyzing Curricular Pattern Complexity Using AI to Improve On-Time Graduation Rates
arXiv:2607.13094v1 Announce Type: new Abstract: The rise of Artificial Intelligence (AI) enables automatic analysis of large amounts of data. Previously time-consuming and labor-intensive tasks can be completed much more efficiently with the use of AI. This work uses AI techniques to analyze and revise curricular patterns in an undergraduate degree for Software Engineering. Curricula often have long sequences where failure to pass a class within the sequence may jeopardize completion of the degr
Record details
Published: 16 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Jobs & economy
Retrieved: 16 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
AI Alignment Amplifies the Role of Race, Gender, and Disability in Hiring Decisions
arXiv cs.CY · 16 July 2026
The Efficiency Costs of Information Assurance in AI-Enabled Labor Markets: Evidence from LinkedIn's Policy Changes
arXiv cs.CY · 16 July 2026
AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation
arXiv cs.CY · 16 July 2026
Beyond AI-Generated Labels: Watermarking, Co-Creation, and Conflation of AI-Generation with Disinformation
arXiv cs.CY · 16 July 2026
Equal access, unequal gains: How digital capability deficits shape the productivity effects of open government data
Technology in Society · 16 July 2026
Structural predictors and latent maturity regimes of robotic readiness in global health systems: evidence from machine learning-based latent clustering and class prediction
Frontiers in Robotics and AI · 16 July 2026
How to cite this record
ethics.ai (16 July 2026), “Analyzing Curricular Pattern Complexity Using AI to Improve On-Time Graduation Rates,” evidence record 10538, https://ethics.ai/record/10538 (originally published by arXiv cs.CY).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.