The use of tools of data mining to decision making in engineering education—A systematic mapping study

Author:

Buenaño‐Fernandez Diego1ORCID,Villegas‐CH William1,Luján‐Mora Sergio2

Affiliation:

1. Facultad de Ingeniería y Ciencias AplicadasUniversidad de Las AméricasQuitoEcuador

2. Departmento de Lenguajes y Sistemas InformáticosUniversidad de AlicanteAlacantSpain

Publisher

Wiley

Subject

General Engineering,Education,General Computer Science

Reference82 articles.

1. Technology-Enhanced Learning Analytics System Design for Engineering Education

2. E.Aguiaret al. Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence inProceedings of International Conference on Learning Analytics and Knowledge (LAK) 2014 pp.103–112.

3. Context-Aware Recommendation-Based Learning Analytics Using Tensor and Coupled Matrix Factorization

4. Predicting Critical Courses Affecting Students Performance: A Case Study

5. Analyzing undergraduate students' performance using educational data mining

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