Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs

Proceedings of the 25th International Conference on World Wide Web

Jacqueline Bourdeau, James Hendler, Roger Nkambou et al. · 2016 · 635 citations

Computing, Computer Science, Information Systems +17

Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom

Anna Y.Q. Huang, Owen H.T. Lu, Stephen J.H. Yang · Computers & Education · 2022 · 530 citations

Education, Computer Science, Educational Technology +14

Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention

Wanli Xing, Dongping Du · Journal of Educational Computing Research · 2018 · 310 citations

Education, Educational Technology, Higher Education +17

Examining the necessary condition for engagement in an online learning environment based on learning analytics approach: The role of the instructor

Jing Ma, Xibin Han, Juan Yang et al. · The Internet and Higher Education · 2014 · 247 citations

Education, Educational Technology, Instruction +14

Students' engagement characteristics predict success and completion of online courses

Tal Soffer, Anat Cohen · Journal of Computer Assisted Learning · 2019 · 199 citations

Education, Educational Technology, Higher Education +17