Predictive Regression Modeling for Forecasting Graduation Duration in Online Offsite Degree Program

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Bibliographische Detailangaben
Veröffentlicht in:	European Conference on e-Learning (Oct 2024), p. 104
1. Verfasser:	Gunarathna, Buddhini
Weitere Verfasser:	Nanayakkara, Vishaka, Karunarathna, Buddhika, De Silva, Tharanee
Veröffentlicht:	Academic Conferences International Limited
Schlagworte:	Sri Lanka Students Datasets Demographics Curricula Data mining Open source software Context Error analysis Distance learning Colleges & universities Business metrics Prediction models Academic achievement Root-mean-square errors Workforce Algorithms Regression analysis Diplomas Graduation rate Neural networks Information technology Predictions Learning Modalities National Surveys Teacher Student Ratio Dropout Rate Grade Point Average School Demography Lecture Method Employment Potential At Risk Students Program Development Computer Software Regression (Statistics) Institutional Characteristics Graduates Influence of Technology Distance Education Educational Technology Learning Management Systems Labor Force
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