E-Learning Activity Analysis

Valsamidis, Stavros; Kazanidis, Ioannis; Petasakis, Ioannis; Kontogiannis, Sotirios; Kolokitha, Eleftheria

doi:10.1016/s2212-5671(14)00052-5

Cited by 17 publications

(12 citation statements)

References 7 publications

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“…These systems gather a great quantity of data which is valuable to analyse the course contents and students' use [1].…”

Section: Virtual Learning Environmentsmentioning

confidence: 99%

The Influence of Virtual Learning Environments in Students' Performance

Alves¹,

Miranda²,

Morais³

2017

ujer

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This paper focuses mainly on the relation between the use of a virtual learning environment (VLE) and students' performance. Therefore, virtual learning environments are characterised and a study is presented emphasising the frequency of access to a VLE and its relation with the students' performance from a public higher education institution during the academic year of 2014-15. The main aim of this research work is to obtain indicators which may help understand relations between the use of VLEs and students' performance. Finding the frequency of access to the VLE and assessing the consequences of such use represent challenges to which teachers and researchers try to respond in order to know students better and consequently, develop strategies which meet their interests and needs. This study is mainly quantitative with descriptive features, involving data obtained from literature research and from experimental research using a sample of approximately 6300 undergraduates. The data was extracted from the VLE and student registration system databases using learning analytics procedures. The results show that there are relatively positive indicators regarding students' access to a virtual learning environment and the relation between such access and their performance.

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“…These systems gather a great quantity of data which is valuable to analyse the course contents and students' use [1].…”

Section: Virtual Learning Environmentsmentioning

confidence: 99%

The Influence of Virtual Learning Environments in Students' Performance

Alves¹,

Miranda²,

Morais³

2017

ujer

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“…The advantages of e-learning strategy: study flexibility, broader accessibility, no time and space limitation, individual approach, use of multimedia, and more active teaching style Maqableh et al (2015b). According to Valsamidis et al (2014), there are many types of e-learning which have to be commensurate with the required type of education; whether it is for individuals, schools, universities, or institutions in general. With the aim of education or training, e-learning can be utilized to achieve the goals of traditional education with less time, effort, and cost.…”

Section: Introductionmentioning

confidence: 99%

Modeling Factors Affecting Student’s Usage Behaviour of E-Learning Systems in Lebanon

Masa'deh¹,

Tarhini²,

Mohammed³

et al. 2016

IJBM

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This study seeks to explore the factors that influence students' usage behaviour of e-learning systems. Based on the strong theoretical foundation of the Unified Theory of Acceptance and Use of Technology (UTAUT) and using structural equation modeling (SEM) via AMOS 21.0, this research paper examines the impact of performance expectancy, effort expectancy, hedonic motivation, habit, social influence, and trust on student's behavioural intention, which is later examined along with facilitating conditions on student's usage behaviour of e-learning systems. Data was collected from students at two universities in Beirut (capital of Lebanon) using a cross-sectional questionnaire survey between January and March 2015. The results revealed direct positive effect of performance expectancy, hedonic motivation, habit, and trust on student's behavioural intention to use e-learning explaining around 71% of overall behavioural intention. Meanwhile, behavioural intention and facilitating conditions accounted for 40% with strong positive effects on student's usage behviour of e-learning systems. However, both effort expectancy and social influence did not impact student's behavioural intention.

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“…Numerous online learning types need to be commensurate with the required kind of education, whether for people, schools, universities, or organizations. With the goal of training or education, online learning can be used to accomplish standard education objectives with less effort, cost, and time [2] . Online learning consisted of one of the learning styles, together with remote learning, computer-aided learning, and online learning [3] .…”

Section: Introductionmentioning

confidence: 99%