Students matter the most in learning analytics: The effects of internal and instructional conditions in predicting academic success

Predictive power of regularity of pre-class activities in a flipped classroom

(2019) Jelena Jovanovic et al.   COMPUTERS & EDUCATION

How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses

(2019) Niki Gitinabard et al.   IEEE Transactions on Learning Technologies

Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach

(2019) Jui-Long Hung et al.   IEEE Transactions on Learning Technologies

Challenges in the online component of blended learning: A systematic review

(2019) Rasheed Abubakar Rasheed et al.   COMPUTERS & EDUCATION

Using social network analysis to understand online Problem-Based Learning and predict performance

(2018) Mohammed Saqr et al.   PLoS One

How learning analytics can early predict under-achieving students in a blended medical education course

(2017) Mohammed Saqr et al.   MEDICAL TEACHER

Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS

(2017) Rianne Conijn et al.   IEEE Transactions on Learning Technologies

Learning at distance: Effects of interaction traces on academic achievement

(2015) Srećko Joksimović et al.   COMPUTERS & EDUCATION

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

A general and simple method for obtainingR2from generalized linear mixed-effects models

(2012) Shinichi Nakagawa et al.   Methods in Ecology and Evolution

To Explain or to Predict?

(2011) Galit Shmueli   STATISTICAL SCIENCE

A protocol for data exploration to avoid common statistical problems

(2009) Alain F. Zuur et al.   Methods in Ecology and Evolution