Discovering Statistics Using SPSS
Discovering Statistics Using SPSS
International Journal of Human-Computer Studies
ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Tool-use in a blended undergraduate course: In Search of user profiles
Computers & Education
Probability modelling of accesses to the course activities in the web-based educational system
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
Supporting teachers in adaptive educational systems through predictive models: A proof of concept
Expert Systems with Applications: An International Journal
Automatic discovery of complementary learning resources
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
A qualitative evaluation of evolution of a learning analytics tool
Computers & Education
Learning designs and learning analytics
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Stepping out of the box: towards analytics outside the learning management system
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
SNAPP: a bird's-eye view of temporal participant interaction
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Monitoring student progress using virtual appliances: A case study
Computers & Education
Review: Content Management Systems: Enriched learning opportunities for all?
Computers in Human Behavior
Artificial Intelligence Review
Learning analytics: envisioning a research discipline and a domain of practice
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Student success system: risk analytics and data visualization using ensembles of predictive models
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Bridging the gap from knowledge to action: putting analytics in the hands of academic advisors
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
A preliminary study of disturbing silence in asynchronous discussion forums
ICHL'12 Proceedings of the 5th international conference on Hybrid Learning
Computers in Human Behavior
Predicting non-traditional student learning outcomes using data analytics - a pilot research study
Journal of Computing Sciences in Colleges
Inferring higher level learning information from low level data for the Khan Academy platform
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Review: Educational data mining: A survey and a data mining-based analysis of recent works
Expert Systems with Applications: An International Journal
Analyzing student notes and questions to create personalized study guides
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Current state and future trends: a citation network analysis of the learning analytics field
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Temporal learning analytics for computer based testing
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Competency map: visualizing student learning to promote student success
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Practice exams make perfect: incorporating course resource use into an early warning system
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Improving academic outcomes: does participating in online discussion forums payoff?
International Journal of Technology Enhanced Learning
Using learning analytics to identify successful learners in a blended learning course
International Journal of Technology Enhanced Learning
Boosting Innovation in an Italian Online University
International Journal of Online Pedagogy and Course Design
Hi-index | 0.00 |
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international research project investigating which student online activities accurately predict academic achievement. Analysis of LMS tracking data from a Blackboard Vista-supported course identified 15 variables demonstrating a significant simple correlation with student final grade. Regression modelling generated a best-fit predictive model for this course which incorporates key variables such as total number of discussion messages posted, total number of mail messages sent, and total number of assessments completed and which explains more than 30% of the variation in student final grade. Logistic modelling demonstrated the predictive power of this model, which correctly identified 81% of students who achieved a failing grade. Moreover, network analysis of course discussion forums afforded insight into the development of the student learning community by identifying disconnected students, patterns of student-to-student communication, and instructor positioning within the network. This study affirms that pedagogically meaningful information can be extracted from LMS-generated student tracking data, and discusses how these findings are informing the development of a customizable dashboard-like reporting tool for educators that will extract and visualize real-time data on student engagement and likelihood of success.