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Showing 1 to 15 of 117 results Save | Export
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Akugizibwe, Edwin; Ahn, Jeong Yong – Education and Information Technologies, 2020
This paper analyses student views on an e-learning intervention that incorporated a content development tool and computer algebra systems, aimed at improving performance and applicability of mathematics knowledge. The study deliberately relied on open source tools, with high usability both online and offline, that can be customized to address the…
Descriptors: Technology Integration, Electronic Learning, Computer Assisted Instruction, Mathematics Instruction
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Agonács, Nikoletta; Matos, João Filipe; Bartalesi-Graf, Daniela; O'Steen, David N. – Education and Information Technologies, 2020
Massive Open Online Courses (MOOC) made the promise of offering unrestrictive and unselective educational opportunities to learners worldwide. However, the specific learning environment of the MOOC requires high autonomy and flexibility in learning. MOOC learners are extremely diverse in terms of their age, qualifications, background and in the…
Descriptors: Self Determination, Learning Readiness, Electronic Learning, Online Courses
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Ilgaz, Hale; Afacan Adanir, Gülgün – Education and Information Technologies, 2020
Online learning has grown in popularity, leading to more widespread utilization of online exams. Online exams have started to become a preferred method of assessment in both online and traditional learning environments. They provide various benefits for the learning process and learners when used appropriately within online learning programs. The…
Descriptors: Computer Assisted Testing, Electronic Learning, Academic Achievement, College Students
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Tawafak, Ragad M.; Romli, Awanis B. T.; Arshah, Ruzaini bin Abdullah; Malik, Sohail Iqbal – Education and Information Technologies, 2020
The technology enhancement learning (TEL) needs continuous use and high perception from learners with collaborative of technologies and multi-media applications. The problem of continuous intention in e-learning applications relies on the type of technology used that changes from one university to another. This study aims to design a framework…
Descriptors: Teaching Methods, Electronic Learning, Models, Multimedia Materials
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Mpungose, Cedric Bheki – Education and Information Technologies, 2020
First-year students are compelled by South African universities to use the Moodle e-learning management platform. Recent studies outline that this creates challenges during the learning process, since students struggle to use Moodle owing to their disadvantaged school background; however, they are familiar with and good at using the WhatsApp…
Descriptors: Online Courses, Social Media, Computer Mediated Communication, Preferences
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Nwagwu, Williams Ezinwa – Education and Information Technologies, 2020
This paper examined the opinions of academic staff of the University of Ibadan Nigeria regarding the preparedness of stakeholders of e-learning in Nigeria for fruitful e-learning experience and action in Nigerian universities. Data was collected from 240 lecturers using a questionnaire. The lecturers considered e-learning as an add-on, as they…
Descriptors: Electronic Learning, Learning Readiness, College Faculty, Teacher Attitudes
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Khamparia, Aditya; Pandey, Babita – Education and Information Technologies, 2020
Due to increase in complexity of modelling human behaviour in virtual environment, traditional or conventional didactic learning is limited in providing flexible or dynamic e-learning environment to students. Adaption of e-learning content with respect to several e-learning problems is open research problem in front of all of us. The purpose of…
Descriptors: Cognitive Style, Electronic Learning, Learning Problems, Research Reports
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Khan, Minhaj Ahmad; Salah, Khaled – Education and Information Technologies, 2020
The cloud computing platform has become prevalent today and is being utilized by many organizations in government, industry, and academia. For teaching and training, its virtual environment provides a cost-effective alternative to physical labs which may be rapidly configured to provide hands-on lab exercises, as well as to run scientific…
Descriptors: Internet, Information Storage, Electronic Learning, Skill Development
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Sultana, Jakia – Education and Information Technologies, 2020
The aim of this study was to unveil the factors that affect the use of Mobile Cloud Learning (MCL) platform Blackboard. Considering the nature of MCL, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and modified with two additional variables, i.e. mobility and self-management learning to understand the use…
Descriptors: Electronic Learning, Integrated Learning Systems, Educational Technology, Performance
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Finogeev, Alexey; Gamidullaeva, Lejla; Bershadsky, Alexandr; Fionova, Ludmila; Deev, Michael; Finogeev, Anton – Education and Information Technologies, 2020
The article considers a convergent approach to the synthesis of the information learning environment for higher education, which includes tools for managing educational content and learning trajectories. The process of convergence is defined as synchronization and coordination of electronic educational resources, educational programs and skill…
Descriptors: Educational Environment, Higher Education, Electronic Learning, Coordination
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Rao, Gururajaprasad Kaggal Lakshmana; Iskandar, Yulita Hanum P.; Mokhtar, Norehan – Education and Information Technologies, 2020
The aim of this study is to understand the phenomenon of e-learning in orthodontic graduate education. The study has assessed e-learning based on two objectives, with the primary objective, summarising the outcomes and implications of e-learning over other forms of learning. The outcomes have been further discussed under primary and secondary…
Descriptors: Electronic Learning, Dentistry, Medical Education, Graduate Students
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Tirado-Morueta, Ramón; Berlanga-Fernández, Inmaculada; Vales-Villamarín, Helena; Guzmán Franco, Mª Dolores; Duarte-Hueros, Ana; Aguaded-Gómez, José Ignacio – Education and Information Technologies, 2020
The number of one-to-one mobile programs in elementary schools as a resource to substitute the textbook has become popular worldwide. However, findings of studies that seek to enable understanding of how the daily use of these mobile devices affects student's engagement in the classroom are heterogeneous. The authors utilized and adapted a…
Descriptors: Elementary School Students, Children, Learner Engagement, Handheld Devices
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Olugbara, C. T.; Imenda, S. N.; Olugbara, O. O.; Khuzwayo, H. B. – Education and Information Technologies, 2020
This study investigated moderating effect of factors of "innovation consciousness" and "quality consciousness" on relationship between intention and behaviour in the context of e-learning integration. Previous authors have suggested a deeper theoretical examination of conditions under which intention may or may not directly…
Descriptors: Electronic Learning, Technology Integration, Intention, Educational Innovation
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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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Azzi, Ibtissam; Jeghal, Adil; Radouane, Abdelhay; Yahyaouy, Ali; Tairi, Hamid – Education and Information Technologies, 2020
In E-Learning Systems, the automatic detection of the learners' learning styles provides a concrete way for instructors to personalize the learning to be made available to learners. The classification techniques are the most used techniques to automatically detect the learning styles by processing data coming from learner interactions with the…
Descriptors: Classification, Prediction, Identification, Cognitive Style
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