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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
Izmirli, Serkan; Kurt, Adile Askim – Journal of Educational Computing Research, 2016
The purpose of the study was to examine the effects of instruction given with different multimedia modalities (written text + animation or narration + animation) on the academic achievement, cognitive load, and positive affect in different paces (learner-paced or system-paced); 97 freshmen university students divided into four groups taught in…
Descriptors: Cognitive Processes, Difficulty Level, Academic Achievement, Educational Environment
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
Bao, Yukun; Xiong, Tao; Hu, Zhongyi; Kibelloh, Mboni – Journal of Educational Computing Research, 2013
Reasons for contradictory findings regarding the gender moderate effect on computer self-efficacy in the adoption of e-learning/mobile learning are limited. Recognizing the multilevel nature of the computer self-efficacy (CSE), this study attempts to explore gender differences in the adoption of mobile learning, by extending the Technology…
Descriptors: Gender Differences, Self Efficacy, Computer Literacy, Telecommunications
Tarhini, Ali; Hone, Kate; Liu, Xiaohui – Journal of Educational Computing Research, 2014
The success of an e-learning intervention depends to a considerable extent on student acceptance and use of the technology. Therefore, it has become imperative for practitioners and policymakers to understand the factors affecting the user acceptance of e-learning systems in order to enhance the students' learning experience. Based on an extended…
Descriptors: Foreign Countries, Gender Differences, Age Differences, Electronic Learning
Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin – Journal of Educational Computing Research, 2013
Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…
Descriptors: Telecommunications, Higher Education, Handheld Devices, Educational Technology
Schroeder, Noah L.; Adesope, Olusola O.; Gilbert, Rachel Barouch – Journal of Educational Computing Research, 2013
Research on the use of software programs and tools such as pedagogical agents has peaked over the last decade. Pedagogical agents are on-screen characters that facilitate instruction. This meta-analysis examined the effect of using pedagogical agents on learning by reviewing 43 studies involving 3,088 participants. Analysis of the results…
Descriptors: Meta Analysis, Cybernetics, Artificial Intelligence, Technology Uses in Education
Lin, Lijia; Atkinson, Robert K. – Journal of Educational Computing Research, 2013
The purpose of the two experiments was to investigate the potential effects of different types of visualizations and self-explanation prompts on learning human cardiovascular system in a multimedia environment. In Experiments 1 and 2, 70 and 44 college students were randomly assigned to one of the four conditions in a 2 × 2 factorial design with…
Descriptors: Educational Experiments, Visualization, Prompting, Human Body