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Park, Juhwa; Cho, Kwangsu – Journal of Educational Computing Research, 2017
Previous research has shown the effectiveness of peer reviewing on the improvement of writing quality. However, the fact that students themselves, arguably novices, judged the improvement leads to concerns about the validity of peer reviewing. We measured writing quality before and after peer reviewing using Coh-Metrix, which computationally…
Descriptors: Peer Evaluation, Computational Linguistics, Connected Discourse, Writing Improvement
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Zhang, Huaihao; Lin, Lijia; Zhan, Yi; Ren, Youqun – Journal of Educational Computing Research, 2016
Guided by the Interactive-Constructive-Active-Passive framework, the purpose of the study was to investigate whether teaching presence would impact online learners' passive, active, constructive, and interactive engagement behaviors. A total of 218 middle-school English teachers participated in an online professional development course.…
Descriptors: Online Courses, Electronic Learning, Teacher Role, Feedback (Response)
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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
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Li, Xiaojie; Yang, Xianmin – Journal of Educational Computing Research, 2016
Learning concentration deserves in-depth investigation in the field of mobile learning. Therefore, this study examined the interaction effects of learning styles and interest on the learning concentration and academic achievement of students who were asked to learn conceptual knowledge via their mobile phones in a classroom setting. A total of 92…
Descriptors: Cognitive Style, Academic Achievement, Telecommunications, Technology Uses in Education
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Chen, Ruey-Shin; Liu, I-Fan – Journal of Educational Computing Research, 2017
Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Student Attitudes
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Holland, Denise D.; Piper, Randy T. – Journal of Educational Computing Research, 2016
The technology integration education model is a 12 construct model that includes 8 primary constructs and 4 moderator constructs. By testing the relationships among two primary constructs (motivation and technological, pedagogical, and content knowledge competencies) and four moderator constructs (goals, feedback, task value, and self-regulation),…
Descriptors: Technology Integration, Preservice Teachers, Models, Objectives
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Jang, Eunice Eunhee; Lajoie, Susanne P.; Wagner, Maryam; Xu, Zhenhua; Poitras, Eric; Naismith, Laura – Journal of Educational Computing Research, 2017
Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners' distinct learning progressions in TREs demand inquiry approaches that employ well-conceived theoretical accounts of these multiple facets.…
Descriptors: Educational Technology, Technology Uses in Education, Simulation, Patients
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Zheng, Binbin; Warschauer, Mark; Farkas, George – Journal of Educational Computing Research, 2013
Over the last decade, the number of one-to-one laptop programs in U.S. schools has steadily increased. Though technology advocates believe that such programs can assist student writing, there has been little systematic evidence for this claim, and even less focused on technology use by at-risk learners. This study examined the effect of daily…
Descriptors: Literacy Education, School Districts, Laptop Computers, Student Diversity