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Showing 1 to 15 of 27 results Save | Export
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Lee, Hsin-Yu; Cheng, Yu-Ping; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – Journal of Educational Computing Research, 2023
Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active,…
Descriptors: Learning Processes, Instructional Effectiveness, STEM Education, Student Behavior
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Ha, Oai; Fang, Ning – Journal of Educational Computing Research, 2018
An innovative educational technology called interactive virtual and physical manipulatives (VPM) is developed to improve students' spatial skills. With VPM technology, not only can students touch and play with real-world physical manipulatives in their hands but also they can see how the corresponding virtual manipulatives (i.e., computer…
Descriptors: Spatial Ability, Manipulative Materials, Educational Technology, Technology Uses in Education
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Petko, Dominik; Cantieni, Andrea; Prasse, Doreen – Journal of Educational Computing Research, 2017
In large-scale international assessments such as the Programme for International Student Assessment (PISA), the Trends in International Mathematics and Science Study (TIMSS), or the Progress in International Reading Study (PISA), research has struggled to find positive associations between the frequency of educational technology use in schools and…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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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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Mohamad Ali, Ahmad Zamzuri; Hamdan, Mohd Najib – Journal of Educational Computing Research, 2017
The aim of this study was to evaluate the effects of various realistic levels of talking-head on students' emotions in pronunciation learning. Four talking-head characters with varying levels of realism were developed and tested: a nonrealistic three-dimensional character, a realistic three-dimensional character, a two-dimensional character, and…
Descriptors: Emotional Response, Questionnaires, Quasiexperimental Design, Statistical Analysis
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Liu, Haixia; Lin, Chin-Hsi; Zhang, Dongbo; Zheng, Binbin – Journal of Educational Computing Research, 2018
This study examined internal and external factors affecting pedagogical use of technology among 47 K-12 Chinese language teachers in the United States. Path analysis of the survey data was used to examine the relationships between the teachers' instructional use of technology, on the one hand, and on the other, their perceptions of three internal…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Secondary Education, Language Teachers
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Kay, Robin; Benzimra, Daniel; Li, Jia – Journal of Educational Computing Research, 2017
Previous research on distractions and the use of mobile devices (personal digital assistants, tablet personal computers, or laptops) have been conducted almost exclusively in higher education. The purpose of the current study was to examine the frequency and influence of distracting behaviors in Bring Your Own Device secondary school classrooms.…
Descriptors: Foreign Countries, Influence of Technology, Attention Control, Handheld Devices
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Li, Kun; Li, Yanju; Franklin, Teresa – Journal of Educational Computing Research, 2016
This study examined four factors that influence preservice teachers' intentions to adopt technology in classrooms based on the Theory of Planned Behavior and Technology Acceptance Model. These four factors--technology self-efficacy, attitudes toward technology, perceived ease of use of technology, and perceived barriers of technology…
Descriptors: Preservice Teachers, Teaching Models, Technology Integration, Teacher Attitudes
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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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Luo, Yi-Fang; Yang, Shu Ching – Journal of Educational Computing Research, 2016
In recent years, the interactive whiteboard (IWB) has been regarded as the most prominent information and communication technology auxiliary instruction device. It is touted as elevating the traditional teaching environment to a digital teaching environment because of its highly interactive features. The purpose of this study is to investigate…
Descriptors: Teaching Methods, Elementary School Students, Educational Technology, Technology Uses in Education
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Picard, Delphine; Martin, Perrine; Tsao, Raphaele – Journal of Educational Computing Research, 2014
A growing number of schools are embracing new mobile technologies, such as iPads, with little (or no) prior empirical proof of their usability. We investigated whether iPads, which allow children to write and draw with their fingers without the need of a pen, are relevant devices for drawing activities at elementary school. A within-participants…
Descriptors: Handheld Devices, Educational Technology, Technology Uses in Education, Freehand Drawing
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Ursavas, Ömer Faruk; Kabakçi Yurdakul, Isil; Türk, Mesut; Mcilroy, David – Journal of Educational Computing Research, 2016
With reference to the digital natives' debate, there is a gap on digital natives' characteristics. To fill this gap, the Digital Natives Assessment Scale was developed to measure students' assessment of the degree to which they perceived themselves to possess the attributes of digital natives. The scale was developed within the Turkish language…
Descriptors: Higher Education, College Students, Preservice Teachers, Technology Uses in Education
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Ioannou, Andri; Vasiliou, Christina; Zaphiris, Panayiotis – Journal of Educational Computing Research, 2016
In this study, we enhanced a problem-based learning (PBL) environment with affordable, everyday technologies that can be found in most university classrooms (e.g., projectors, tablets, students' own smartphones, traditional paper-pencil, and Facebook). The study was conducted over a 3-year period, with 60 postgraduate learners in a human-computer…
Descriptors: Problem Based Learning, Classroom Environment, Universities, Educational Environment
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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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Adams, Deanne M.; Pilegard, Celeste; Mayer, Richard E. – Journal of Educational Computing Research, 2016
Learning physics often requires overcoming common misconceptions based on naïve interpretations of observations in the everyday world. One proposed way to help learners build appropriate physics intuitions is to expose them to computer simulations in which motion is based on Newtonian principles. In addition, playing video games that require…
Descriptors: Video Games, Teaching Methods, Technology Uses in Education, Simulated Environment
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