Work

Time-Aware Cold-Start Course Recommendation on OULAD via Behavioral-Graph and Feature Fusion — Reproducibility Materials

Year: 2026

Type: software

Abstract: Bounded reproducibility materials for an auditable offline course-recommendation study on the anonymized Open University Learning Analytics Dataset (OULAD). The package contains analysis and figure-generation code, frozen configuration and audit manifests, and aggregate result summaries. Raw OULAD tables and row-level derived outputs are intentionally excluded and must be obtained independently under the source terms. Original code is MIT licensed; documentation and aggregate, non-personal outputs are CC BY 4.0. See the included license notices and environment note.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22339675

Authors: Wang, Qiushi, Li, Yanping, Zhao, Yan, Wang, Juan

Institution: Zaozhuang Vocational College

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7208815801

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