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Albelbisi, Nour Awni – Education and Information Technologies, 2019
As a crucial factor that affects the learning performance in MOOC, self-regulated learning (SRL) has elicited considerable interest. Self-regulated learners can manage their learning activities efficiently, however, researchers indicate that MOOC learners do not adequately self-regulate their learning. Thus, providing support to facilitate…
Descriptors: Undergraduate Students, Foreign Countries, Structural Equation Models, Online Courses
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Buabeng-Andoh, Charles; Yaokumah, Winfred; Tarhini, Ali – Education and Information Technologies, 2019
In the technology acceptance studies, both the theory of reasoned action and the technology acceptance model have been widely adopted to study the factors that influence users' technology usage intentions. While these frameworks have been mostly tested in Western nations, there has been a little effort to apply these frameworks in non-Western…
Descriptors: Undergraduate Students, Intention, Developing Nations, Structural Equation Models
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Martins, Alex Sandro Rodrigues; Quintana, Alexandre Costa; de Gomes, Débora Gomes – Education and Information Technologies, 2020
The aims of the current study are to identify the behavioral factors enabling students' acceptance and use of a podcast aggregator that provides tips about contents taught in the classroom, as well as to investigate its impact on knowledge formation among Accounting Sciences undergraduate students from a Federal University in Southern Brazil,…
Descriptors: Student Attitudes, Teaching Methods, Audio Equipment, Accounting
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Baturay, Meltem Huri; Toker, Sacip – Education and Information Technologies, 2019
Internet addiction among college students in terms of causes and effects are investigated. Correlation study method is utilized; structural equation modelling is applied to analyze the data. There are fifteen hypotheses generated for the model. The data is collected via numerous instruments proven as reliable and valid by the previous studies.…
Descriptors: Internet, Addictive Behavior, Undergraduate Students, Games
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Owusu-Agyeman, Yaw; Larbi-Siaw, Otu – Education and Information Technologies, 2017
This study argues that in developing a robust framework for students in a blended learning environment, Structural Alignment (SA) becomes the third principle of specialisation in addition to Epistemic Relation (ER) and Social Relation (SR). We provide an extended code: (ER+/-, SR+/-, SA+/-) that present strong classification and framing to the…
Descriptors: Blended Learning, Specialization, Educational Policy, Guidelines
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Maheshwari, Greeni – Education and Information Technologies, 2021
Educational institutions worldwide had to shift the teaching delivery mode from face to face to online teaching during COVID-19. Most of the universities in Vietnam were based on face to face learning until the sudden outbreak of COVID-19. This research study was conducted with 145 respondents and Structural Equation Model (SEM) was used for data…
Descriptors: Foreign Countries, Online Courses, Student Attitudes, Intention
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Anthonysamy, Lilian; Koo, Ah Choo; Hew, Soon Hin – Education and Information Technologies, 2020
This paper aims to examine how self-regulated learning strategies (SRLS) can foster the enhancement of digital literacy in digital learning to increase efficiencies in human capital for sustainable development in lifelong learning. Digital disruption in the education sector is unavoidable. The results of this study will be useful for educators and…
Descriptors: Case Studies, Metacognition, Learning Strategies, Human Capital
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Ata, Ridvan; Cevik, Mustafa – Education and Information Technologies, 2019
The aim of this research is to reveal relations between Kolb's learning styles and mobile learning readiness of pre-service teachers in depth in regard to different variables and identify their mobile learning perspectives. The study group consisted of 352 students enrolled in undergraduate programs in education faculties of different universities…
Descriptors: Cognitive Style, Structural Equation Models, Preservice Teachers, Telecommunications
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Wook, Muslihah; Yusof, Zawiyah M.; Nazri, Mohd Zakree Ahmad – Education and Information Technologies, 2017
The acceptance of Educational Data Mining (EDM) technology is on the rise due to, its ability to extract new knowledge from large amounts of students' data. This knowledge is important for educational stakeholders, such as policy makers, educators, and students themselves to enhance efficiency and achievements. However, previous studies on EDM…
Descriptors: Educational Research, Information Retrieval, Data Analysis, Educational Technology