A Learning Analytics Approach to Identify Students at Risk of Dropout: A Case Study with a Technical Distance Education Course

[1]  Gema de Pablo González Factores que favorecen la presencia docente en entornos virtuales de aprendizaje , 2017 .

[2]  Bart Rienties,et al.  Predictive Learning Analytics 'At Scale': Guidelines to Successful Implementation in Higher Education , 2019, J. Learn. Anal..

[3]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[4]  Juan A. Gómez-Pulido,et al.  Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review , 2020, Applied Sciences.

[5]  Rachel B. Baker,et al.  Using clickstream data to measure, understand, and support self-regulated learning in online courses , 2020, Internet High. Educ..

[6]  Eitel J. M. Lauría,et al.  Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative , 2014, J. Learn. Anal..

[7]  GuoRui,et al.  Participation-based student final performance prediction model through interpretable Genetic Programming , 2015 .

[8]  George Siemens,et al.  Learning Analytics , 2013 .

[9]  Anders Larrabee Sønderlund,et al.  The efficacy of learning analytics interventions in higher education: A systematic review , 2018, Br. J. Educ. Technol..

[10]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[11]  Dragan Gasevic,et al.  Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success , 2016, Internet High. Educ..

[12]  Cristian Cechinel,et al.  Predicting Students Success in Blended Learning—Evaluating Different Interactions Inside Learning Management Systems , 2019, Applied Sciences.

[13]  Lubna Mahmoud Abu Zohair Prediction of Student’s performance by modelling small dataset size , 2019 .

[14]  Yi-Shan Tsai,et al.  Identifying needs for learning analytics adoption in Latin American universities: A mixed-methods approach , 2020, Internet High. Educ..

[15]  Cristian Cechinel,et al.  Modelling and Prediction of Distance Learning Students Failure by using the Count of Interactions , 2015 .

[16]  Ameet Talwalkar,et al.  Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization , 2016, J. Mach. Learn. Res..

[17]  Erman Yukselturk,et al.  Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program , 2014 .

[18]  Carlos Márquez-Vera,et al.  Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data , 2013, Applied Intelligence.

[19]  Sönke Hartmann,et al.  A competitive genetic algorithm for resource-constrained project scheduling , 1998 .

[20]  Jingjing Zhang,et al.  Learner support in MOOCs: Identifying variables linked to completion , 2018, Comput. Educ..

[21]  Xavier Ochoa,et al.  Mapping Learning Analytics initiatives in Latin America , 2020, Br. J. Educ. Technol..

[22]  Ricardo Soto,et al.  Using Black Hole Algorithm to Improve EEG-Based Emotion Recognition , 2018, Comput. Intell. Neurosci..

[23]  Rui Guo,et al.  Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory , 2015, Comput. Hum. Behav..

[24]  Ulrik Schroeder,et al.  A reference model for learning analytics , 2012 .

[25]  Broderick Crawford,et al.  An Optimized Brain-Based Algorithm for Classifying Parkinson’s Disease , 2020, Applied Sciences.

[26]  Habib Fardoun,et al.  Early dropout prediction using data mining: a case study with high school students , 2016, Expert Syst. J. Knowl. Eng..

[27]  Fernando A. Mikic-Fonte,et al.  Systematic Literature Review of Predictive Analysis Tools in Higher Education , 2019, Applied Sciences.

[28]  Vassilis Loumos,et al.  Dropout prediction in e-learning courses through the combination of machine learning techniques , 2009, Comput. Educ..

[29]  Yücel Saygin,et al.  Privacy-Preserving Learning Analytics: Challenges and Techniques , 2017, IEEE Transactions on Learning Technologies.