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Firdausiah Mansur, Andi Besse; Yusof, Norazah – Computers & Education, 2013
Clustering on Social Learning Network still not explored widely, especially when the network focuses on e-learning system. Any conventional methods are not really suitable for the e-learning data. SNA requires content analysis, which involves human intervention and need to be carried out manually. Some of the previous clustering techniques need…
Descriptors: Socialization, Social Networks, Network Analysis, Electronic Learning
Xie, Kui; Miller, Nicole C.; Allison, Justin R. – Computers & Education, 2013
This case study examined an authentic online learning phenomenon where social conflict, including harsh critique and negative tone, weaved throughout peer-moderated online discussions in an online class. Opening coding and content analysis were performed on 1306 message units and course artifacts. The results revealed that a model of social…
Descriptors: Interpersonal Relationship, Conflict, Models, Evolution
Wu, Wen-Hsiung; Wu, Yen-Chun Jim; Chen, Chun-Yu; Kao, Hao-Yun; Lin, Che-Hung; Huang, Sih-Han – Computers & Education, 2012
Two previous literature review-based studies have provided important insights into mobile learning, but the issue still needs to be examined from other directions such as the distribution of research purposes. This study takes a meta-analysis approach to systematically reviewing the literature, thus providing a more comprehensive analysis and…
Descriptors: Electronic Learning, Research Methodology, Educational Technology, Meta Analysis
Chen, Hsiu-Ju – Computers & Education, 2012
In recent years, with the development of e-learning, it is feasible for enterprises to adopt information systems to enhance organizations' human capital and knowledge renewal for competition. e-Learning systems designed for new entrants training aim to facilitate new entrants' job adaptation; however, the empirical link between their system use…
Descriptors: Electronic Learning, Human Capital, Administrative Organization, Socialization
Hsu, Ching-Kun; Hwang, Gwo-Jen; Chang, Chih-Kai – Computers & Education, 2013
In this paper, a personalized recommendation-based mobile language learning approach is proposed. A mobile learning system has been developed based on the approach by providing a reading material recommendation mechanism for guiding EFL (English as Foreign Language) students to read articles that match their preferences and knowledge levels, and a…
Descriptors: Electronic Learning, English (Second Language), Second Language Instruction, Individualized Instruction
Dominguez, Adrian; Saenz-de-Navarrete, Joseba; de-Marcos, Luis; Fernandez-Sanz, Luis; Pages, Carmen; Martinez-Herraiz, Jose-Javier – Computers & Education, 2013
Gamification is the use of game design elements and game mechanics in non-game contexts. This idea has been used successfully in many web based businesses to increase user engagement. Some researchers suggest that it could also be used in web based education as a tool to increase student motivation and engagement. In an attempt to verify those…
Descriptors: Games, Web Based Instruction, Electronic Learning, College Students
Liu, Tzu-Chien; Lin, Yi-Chun; Tsai, Meng-Jung; Paas, Fred – Computers & Education, 2012
This study investigated split-attention and redundancy effects in a mobile learning environment on leaf morphology of plants as a function of different combinations of media. Eighty-one fifth-grade students were randomly assigned to the following three conditions: texts with pictures embedded in the mobile device (TP condition); texts embedded in…
Descriptors: Electronic Learning, Pilot Projects, Grade 5, Redundancy
Tseng, Hung Wei; Yeh, Hsin-Te – Computers & Education, 2013
Teamwork factors can facilitate team members, committing themselves to the purposes of maximizing their own and others' contributions and successes. It is important for online instructors to comprehend students' expectations on learning collaboratively. The aims of this study were to investigate online collaborative learning experiences and to…
Descriptors: Teamwork, Trust (Psychology), Student Attitudes, Learning Experience
Cheung, Ronnie; Vogel, Doug – Computers & Education, 2013
Collaborative technologies support group work in project-based environments. In this study, we enhance the technology acceptance model to explain the factors that influence the acceptance of Google Applications for collaborative learning. The enhanced model was empirically evaluated using survey data collected from 136 students enrolled in a…
Descriptors: Computer Attitudes, Adoption (Ideas), Models, Electronic Learning
Research on the Effectiveness of Information Technology in Reducing the Rural-Urban Knowledge Divide
Chen, Ruey-Shin; Liu, I-Fan – Computers & Education, 2013
To strengthen the information technology skills of students living in remote areas, the Ministry of Education of Taiwan advocated the 2008 Country Development Plan to diminish the gap between urban and rural education development. This study proposes a hypothetical model to evaluate the effectiveness of the government policy in decreasing the…
Descriptors: Rural Urban Differences, Knowledge Level, Information Technology, Electronic Learning
Huang, Eugenia Y.; Lin, Sheng Wei; Huang, Travis K. – Computers & Education, 2012
Learning style is traditionally assumed to be a predictor of learning performance, yet few studies have identified the mediating and moderating effects between the two. This study extends previous research by proposing and testing a model that examines the mediating processes in the relationship between learning style and e-learning performance…
Descriptors: Electronic Learning, Undergraduate Students, Cognitive Style, Computer Mediated Communication
van Deursen, A. J. A. M.; van Diepen, S. – Computers & Education, 2013
In this study, the information and strategic Internet skills of Dutch secondary students were measured in a performance test. Participating students were asked to complete assignments on the Internet. The findings reveal that the levels of both information and strategic Internet skills have much room for improvement. Of the variables that…
Descriptors: Internet, Skill Analysis, Information Literacy, Information Skills
Wu, Ejean; Lin, Wen-Chuan; Yang, Shu Ching – Computers & Education, 2013
This study examines the effects of two types of e-tutoring interventions (text-based vs. face-to-face videoconferencing, TB vs. F2F) on the grammar performance and motivation of low-achieving students. The study investigates the patterns of interaction between tutors and students in both platforms, including the manner in which tutors and students…
Descriptors: Tutorial Programs, Electronic Learning, Videoconferencing, Grammar
Kardan, Ahmad A.; Sadeghi, Hamid; Ghidary, Saeed Shiry; Sani, Mohammad Reza Fani – Computers & Education, 2013
Students are required to choose courses they are interested in for the coming semester. Due to restrictions, including lack of sufficient resources and overheads of running several courses, some universities might not offer all of a student's desirable courses. Universities must know every student's demands for every course prior to each semester…
Descriptors: Accuracy, Web Based Instruction, College Students, Electronic Learning
Oztok, Murat; Zingaro, Daniel; Brett, Clare; Hewitt, Jim – Computers & Education, 2013
While the independent contributions of synchronous and asynchronous interaction in online learning are clear, comparatively less is known about the pedagogical consequences of using both modes in the same environment. In this study, we examine relationships between students' use of asynchronous discussion forums and synchronous private messages…
Descriptors: Asynchronous Communication, Synchronous Communication, Online Courses, Discussion