1 |
Predicting student performance from LMS data: A comparison of 17 blended courses using Moodle LMS |
Conijn, Snijders, Kleingeld, & Matzat |
IEEE Transactions on Learning Technologies |
2017 |
71 |
2 |
An exploration of online behaviour engagement and achievement in flipped classroom supported by learning management system |
Wang |
Computers and Education |
2017 |
58 |
3 |
How learning analytics can early predict under-achieving students in a blended medical education course |
Saqr, Fors, & Tedre |
Medical Teacher |
2017 |
33 |
4 |
Experience of the use of electronic training in the educational process of the Russian higher educational institution |
Kamenez et al |
International Journal of Engineering & Technology (UAE) |
2018 |
27 |
5 |
Development of a problem-based learning model via a virtual learning environment |
Phungsuk, Viriyavejakul, & Ratanaolarn |
Kasetsart Journal of Social Sciences |
2017 |
25 |
6 |
Integrating an online compiler and a plagiarism detection tool into the Moodle distance education system for easy assessment of programming assignments |
Kaya & Özel |
Computer Applications in Engineering Education |
2015 |
17 |
7 |
'I'm not here to learn how to mark someone else's stuff': an investigation of an online peer-to-peer review workshop tool |
Wilson, Diao, & Huang |
Assessment and Evaluation in Higher Education |
2015 |
15 |
8 |
The SIETTE Automatic Assessment Environment |
Conejo, Guzmán, & Trella |
International Journal of Artificial Intelligence in Education |
2016 |
14 |
9 |
Developing a model to assess the success of e-learning systems: evidence from a manufacturing company in transitional economy |
Marjanovic, Delić, & Lalic |
Information Systems and e-Business Management |
2016 |
13 |
10 |
Using log variables in a learning management system to evaluate learning activity using the lens of activity theory |
Park & Jo |
Assessment and evaluation for continuing in higher learning |
2017 |
11 |