Year: 2018
Type: article
Abstract: Data pre-processing is a crucial phase prior to analytic task and yet rarely been discussedespecially for e-learning data which has multilevel data. Providing a reliable datapre-processing is important to provide quality dataset. Therefore, this study investigates theproblems arise in data pre-processing and in this case, for identifying the significant factors toimplement prediction task. A MOOC dataset is selected for the data pre-processing task. Theprocess in generating the summary of dataset is explained and the ultimate aim is to produce adataset with features that are ready for data mining task. The study also proposed a processmodel and suggestions, which can be applied to support more comprehensible tools foreducational domain who is the end user. Subsequently, the data pre-processing become moreefficient for predicting student’s retention in MOOCKeywords: data pre-processing; e-learning; massive open online course; student’s retention;prediction.
Authors: N. Mohamad, N.B. Ahmad, S. Sulaiman
Institution: University of Technology Malaysia
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
Funder: Universiti Teknologi Malaysia
OpenAlex ID: W2784858159