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Pinho, Cláudia; Franco, Mário; Mendes, Luis – Education and Information Technologies, 2021
This empirical study aims to identify the factors influencing the use of Moodle as a Learning Management Systems (LMS) in the academic context. To fulfil this objective, a quantitative study was carried out through a questionnaire directed to Portuguese university students, which obtained a total of 631 valid answers. The results obtained, based…
Descriptors: Electronic Learning, Higher Education, Integrated Learning Systems, College Students
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Vershitskaya, Elena R.; Mikhaylova, Anna V.; Gilmanshina, Suriya I.; Dorozhkin, Evgeniy M.; Epaneshnikov, Vladimir V. – Education and Information Technologies, 2020
The E-learning market is becoming more and more popular in the world. This is evidenced by the increased budget allocations for e-learning programs, the growing prevalence of e-learning in various markets all over the world and new trends in modern technology and tools. The study aims to evaluate the readiness of university management and students…
Descriptors: Foreign Countries, College Administration, Electronic Learning, Readiness
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Strang, Kenneth David – Education and Information Technologies, 2017
This mixed-method study focuses on online learning analytics, a research area of importance. Several important student attributes and their online activities are examined to identify what seems to work best to predict higher grades. The purpose is to explore the relationships between student grade and key learning engagement factors using a large…
Descriptors: Predictor Variables, Outcomes of Education, Mixed Methods Research, Electronic Learning
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Nguyen, Viet Anh – Education and Information Technologies, 2017
This article presents a model using peer assessment to evaluate students taking part in blended - learning courses (BL). In these courses, teaching activities are carried out in the form of traditional face-to-face (F2F) and learning activities are performed online via the learning management system Moodle. In the model, the topics of courses are…
Descriptors: Models, Peer Evaluation, Student Evaluation, Blended Learning