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Aharony, Noa; Shonfeld, Miri – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2015
This study seeks to explore what factors influence students' ICT use and web technology competence. The objectives of this study are the following: (a) To what extent do certain elements of Rogers' (2003) Diffusion of Innovations Theory (DOI) explain students' ICT use, (b) To what extent do personality characteristics derived from the Big Five…
Descriptors: Educational Technology, Technology Uses in Education, Internet, Personality Traits
Kropf, Dorothy C. – European Journal of Open, Distance and E-Learning, 2013
Transformed into a large collaborative learning environment, the Internet is comprised of information reservoirs namely, (a) online classrooms, (b) social networks, and (c) virtual reality or simulated communities, to expeditiously create, reproduce, share, and deliver information into the hands of educators and students. Most importantly, the…
Descriptors: Learning Theories, Electronic Learning, Influence of Technology, Technology Uses in Education
Baya'a, Nimer; Daher, Wajeeh – Journal of Interactive Learning Research, 2010
We used a grounded theory approach to investigate and describe the learning of middle school students when they carry out mathematical activities (in the classroom or out of it) and explore mathematical objects and relations using mobile phones. We found that a web of conditions and consequences could be related to the students' learning when they…
Descriptors: Grounded Theory, Middle School Students, Learning Modalities, Internet
Daher, Wajeeh – Australasian Journal of Educational Technology, 2010
Although many researchers have examined knowledge building in traditional settings and distance learning, few have examined middle school students' building of mathematical knowledge using mobile phones. The present study uses two well-known models of knowledge building to carry out the examination: the interactive analysis model of knowledge…
Descriptors: Middle School Students, Mathematics Education, Internet, Mathematics Instruction
Aviv, Reuven; Erlich, Zippy; Ravid, Gilad – Educational Technology & Society, 2005
Theoretical foundation of Response mechanisms in networks of online learners are revealed by Statistical Analysis of p* Markov Models for the Networks. Our comparative analysis of two networks shows that the minimal-effort hunt-for-social-capital mechanism controls a major behavior of both networks: negative tendency to respond. Differences in…
Descriptors: Statistical Analysis, Educational Technology, Comparative Analysis, Peer Influence
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers