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Chelsea Daniels; Yoav Bergner; Collin Lynch; Tiffany Barnes – Grantee Submission, 2018
In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…
Descriptors: Hypothesis Testing, Social Networks, Network Analysis, MOOCs
Khasianov, Airat; Shakhova, Irina – International Association for Development of the Information Society, 2017
In this paper we study a new model of mobile learning for the Unified State Exam ("USE") preparation in Russian Federation. "USE"--is the test school graduates need to pass in order to obtain Russian matura. In recent years the efforts teachers put for preparation of their students to the "USE" diminish how well the…
Descriptors: High School Students, Electronic Learning, Models, Test Preparation
Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Inegbedion, Juliet Obhajajie – Open Praxis, 2017
The quality of the programmes and courses in ODL depends on the academics that plan the programmes, develop the curriculum, manage courses and programmes and carry out administrative duties. It is observed that the academics often complain of work overload. It also appears there is a mix-up in integrating the mode of planning workload in the…
Descriptors: Foreign Countries, Faculty Workload, Educational Planning, Distance Education
Alrasheedi, Muasaad; Capretz, Luiz Fernando; Raza, Arif – Journal of Educational Computing Research, 2016
Mobile learning (m-Learning) is considered to be one of the fastest growing learning platforms. The immense interest in m-Learning is attributed to the incredible rate of growth of mobile technology and its proliferation into every aspect of modern life. Despite this, m-Learning has not experienced a similar adoption rate in the education sector,…
Descriptors: Electronic Learning, Higher Education, College Administration, Administrators
Johnson, Megan – Journal of Library & Information Services In Distance Learning, 2017
This case study reports on the process for creating a self-paced non-credit information literacy (IL) course delivered via a university's course management system. The four online modules are designed to contextualize information literacy competencies within the curriculum taught in First Year Seminar (FYS) courses. The meta-course approach…
Descriptors: Library Instruction, College Freshmen, First Year Seminars, Case Studies
Sun, Jun; Wang, Ying – Information Systems Education Journal, 2014
One major challenge in online education is how to select appropriate e-learning tools for different learning tasks. Based on the premise of Task-Technology Fit Theory, this study suggests that the effectiveness of student learning in online courses depends on the alignment between two. Furthermore, it conceptualizes the formation of such a fit…
Descriptors: Online Courses, Educational Technology, Electronic Learning, Assignments
Rodríguez-Ardura, Inma; Meseguer-Artola, Antoni – Interactive Learning Environments, 2016
User retention is a major goal for higher education institutions running their teaching and learning programmes online. This is the first investigation into how the senses of presence and flow, together with perceptions about two central elements of the virtual education environment (didactic resource quality and instructor attitude), facilitate…
Descriptors: Electronic Learning, Learning Motivation, Academic Persistence, Intention
Tarhini, Ali; Elyas, Tariq; Akour, Mohammad Ali; Al-Salti, Zahran – Higher Education Studies, 2016
The main aim of this paper is to develop an amalgamated conceptual model of technology acceptance that explains how individual, social, cultural and organizational factors affect the students' acceptance and usage behaviour of the Web-based learning systems. More specifically, the proposed model extends the Technology Acceptance Model (TAM) to…
Descriptors: Electronic Learning, Computer Attitudes, Adoption (Ideas), Web Based Instruction
Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
Rasmusson, Maria; Åberg-Bengtsson, Lisbeth – Scandinavian Journal of Educational Research, 2015
Data from a Swedish PISA-sample were used (1) to identify a digital reading factor, (2) to investigate gender differences in this factor (if found), and (3) to explore how computer game playing might relate to digital reading performance and gender. The analyses were conducted with structural equation modeling techniques. In addition to an overall…
Descriptors: Foreign Countries, Reading Achievement, Student Evaluation, Educational Games
Hsu, Chih-Chao; Wang, Tzone-I – Asia Pacific Education Review, 2014
Concept comprehension is an important foundation for more complex thoughts. To enhance concept comprehension, teachers of traditional classrooms have been using instructional strategies and specific course designs, which have been proven effective. It initiates a hypothesis that integrating instructional strategies in the course designs of an…
Descriptors: Foreign Countries, Electronic Learning, Elementary School Students, Grade 5
Mahnane, Lamia; Tayeb, Laskri Mohamed; Trigano, Philippe – International Journal of Information and Communication Technology Education, 2013
Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…
Descriptors: Electronic Learning, Hypermedia, Cognitive Style, Knowledge Level
Tai, Hung-Cheng – English Language Teaching, 2016
This study explored the effects of collaborative writing instruction on undergraduate nursing students' writing performance and self-efficacy beliefs within an online learning system. A single-group experimental study utilized two instruments, the NCEEC (National College Entrance Examination Center) writing grading criteria (the SRCT) and a…
Descriptors: Cooperative Learning, Electronic Learning, Foreign Countries, English (Second Language)
Cheng, Yung-Ming – Educational Technology & Society, 2014
This study's purpose was to synthesize the user network (including subjective norm and network externality), task-technology fit (TTF), and expectation-confirmation model (ECM) to explain nurses' intention to continue using the blended electronic learning (e-learning) system within medical institutions. A total of 450 questionnaires were…
Descriptors: Intention, Nurses, Nursing, Nursing Education
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