An Explainable Machine Learning Approach to Predicting and Understanding Dropouts in MOOCs

2023-01-01
Er, Erkan
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
138
views
92
downloads
http://dx.doi.org/10.24106/kefdergi.1246458
https://hdl.handle.net/11511/102701
Gazi Üniversitesi Kastamonu Eğitim Dergisi
Graduate School of Informatics, Article

Suggestions

An analytical approach for modelling unmanned aerial vehicles and base station interaction for disaster recovery scenarios
Owilla, Eugene; Ever, Enver; Computer Engineering (2022-8)
Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to be used in various sectors for a wide array of applications and services. In wireless networking, UAVs are a vital part of supplementary infrastructure aimed at improv- ing coverage principally during public safety crises. Due to their relatively low cost and scalability of use, there has been a mushrooming focus into the roles that UAVs can play in ameliorating service provided to stranded ground devices. Following a public sa...
An interactive approach for multiobjective decision making
Koksalan, M; Karasakal, Esra (Informa UK Limited, 2006-05-01)
We develop an interactive approach for multiobjective decision-making problems, where the solution space is defined by a set of constraints. We first reduce the solution space by eliminating some undesirable regions. We generate solutions (partition ideals) that dominate portions of the efficient frontier and the decision maker (DM) compares these with feasible solutions. Whenever the decision maker prefers a feasible solution, we eliminate the region dominated by the partition ideal. We then employ an inte...
An Interactive Approach for Product and Process Design Parameter Optimization under Model Uncertainty
Özateş, Melis; Köksal, Gülser; Köksalan, Mustafa Murat (2017-07-10)
An Integrated optimization and simulation approach for the ambulance location problem
Şahin Macit, Medine; Meral, Fatma Sedef; Department of Industrial Engineering (2015)
Management of smooth-functioning Emergency Medical Services (EMS) along with efficient and effective utilization of ambulances which are an essential part of this service is of vital importance. Selecting the suitable location of ambulance stations and the allocation of ambulances to their corresponding stations are important decisions which directly affect the quality of response to an emergency case. In this study, an integrated optimization and simulation approach is proposed so as to determine the size ...
Citation Formats
E. Er, “An Explainable Machine Learning Approach to Predicting and Understanding Dropouts in MOOCs,” Gazi Üniversitesi Kastamonu Eğitim Dergisi, vol. 31, no. 1, pp. 143–154, 2023, Accessed: 00, 2023. [Online]. Available: http://dx.doi.org/10.24106/kefdergi.1246458.
METU IIS - Integrated Information Service open@metu.edu.tr