Preparation and execution of final year student projects on the cloud
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[1] Maria Teresa Baldassarre,et al. Cloud Computing for Education: A Systematic Mapping Study , 2018, IEEE Transactions on Education.
[2] Rianne Conijn,et al. Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS , 2017, IEEE Transactions on Learning Technologies.
[3] Keith Irwin,et al. A Module-based Approach to Teaching Big data and Cloud Computing Topics at CS Undergraduate Level , 2019, SIGCSE.
[5] Yves Duthen,et al. Demonstration of a Moodle student monitoring web application , 2013, EDM.
[6] Norleyza Jailani,et al. Final Year Supervision Management System as a Tool for Monitoring Computer Science Projects , 2011 .
[7] Germán Moltó,et al. A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing , 2019, Sensors.
[8] Francisco J. Gutierrez,et al. Enhancing the Student Learning Experience in Software Engineering Project Courses , 2018, IEEE Transactions on Education.
[9] Debzani Deb,et al. Teaching Big Data and Cloud Computing: A Modular Approach , 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
[10] Kenneth A. Loparo,et al. A New Course for Teaching Internet of Things: A Practical, Hands-on, and Systems-level Approach , 2018 .
[11] Anna Koufakou,et al. How Cloud Computing Is Addressed for Software Development in Computer Science Education , 2017, HCI.
[12] Shane Dawson,et al. Mining LMS data to develop an "early warning system" for educators: A proof of concept , 2010, Comput. Educ..
[13] Irena Koprinska,et al. Students at Risk: Detection and Remediation , 2015, EDM.
[14] Marek Hatala,et al. Penetrating the black box of time-on-task estimation , 2015, LAK.
[15] Marek Hatala,et al. Learning at distance: Effects of interaction traces on academic achievement , 2015, Comput. Educ..
[16] George Karypis,et al. Collaborative multi-regression models for predicting students' performance in course activities , 2015, LAK.
[17] Wu Zhang,et al. Mining Moodle Data to Detect the Inactive and Low-performance Students during the Moodle Course , 2018, ICBDR.