Educational data mining: A survey and a data mining-based analysis of recent works

By Alejandro Peña Ayala. Expert systems with applications, 2014

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Educational data mining and learning analytics for 21st century higher education: A review and synthesis (2019, neutral): “Peña-Ayala (2014) reviewed EDM works (from 2010 to 2013) by organizing them into six clusters related to student modeling, student behavior modeling, student performance modeling and assessment, student support, feedback, and knowledge-sequencing-teaching support.”
Cosine similarity to determine similarity measure: Study case in online essay assessment (2016, background): “Data mining is a branch of science with a scope broad enough to offer a solution to the anomaly data discovery, sort the set of data, match the data similarity, patterns extraction and data structures [5].”
Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence (2014, background): “Updated and extended review on student modeling approaches can be found in Chrysafiadi and Virvou (2013) and in Pena-Ayala (2014).”
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach (2020, background): “EDM can provide educational policy makers useful insights to improve the efficiency and quality of teaching and learning [56].”