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Educational Data Mining: A Review on Data Collection Process

Authors: Bhanuka Mahanama; Wishmitha Mendis; Adeesha Jayasooriya; Viran Malaka; Uthayasanker Thayasivam; Thayasivam Umashanger;

Educational Data Mining: A Review on Data Collection Process

Abstract

the paper proposes a framework with common guidelines for a successful and effective data collection method for an educational data mining research. The framework identifies potential issues and methodologies to overcome some key challenges by ensuring an efficient and comprehensive data collection. Further, these proposals include useful validation techniques to ensure the minimal redundancy and internal consistency of the data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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