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Cerezo, Rebeca; Bogarín, Alejandro; Esteban, María; Romero, Cristóbal – Journal of Computing in Higher Education, 2020
Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students' acquisition of core skills such as self-regulated learning. Our objective was to discover students'…
Descriptors: Data Analysis, Self Management, Evaluation Methods, Electronic Learning
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Chen, Zhongzhou; Xu, Mengyu; Garrido, Geoffrey; Gunthrie, Matthew W. – Physical Review Physics Education Research, 2020
This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students' online learning behavior and overall performance in an introductory physics course. We created four linear regression models correlating students' pass-fail events in a sequence of online learning…
Descriptors: Correlation, Electronic Learning, Performance Factors, Learning Analytics
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Gamage, Kelum A. A.; Silva, Erandika K. de; Gunawardhana, Nanda – Education Sciences, 2020
Globally, the number of COVID-19 cases continues to rise daily despite strict measures being adopted by many countries. Consequently, universities closed down to minimise the face-to-face contacts, and the majority of the universities are now conducting degree programmes through online delivery. Remote online delivery and assessment are novel…
Descriptors: Online Courses, Student Evaluation, COVID-19, Pandemics