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Cacciamani, Stefano; Villani, Daniela; Bonanomi, Andrea; Carissoli, Claudia; Olivari, Maria Giulia; Morganti, Laura; Riva, Giuseppe; Confalonieri, Emanuela – Journal of Research on Technology in Education, 2018
To maximize the advantages of the tablet personal computer (TPC) at school, this technology needs to be accepted by students as new tool for learning. With reference to the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology, the aims of this study were (a) to analyze factors influencing high school students'…
Descriptors: Student Attitudes, Attitude Measures, Handheld Devices, Telecommunications
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Nagy, Judit T. – International Review of Research in Open and Distributed Learning, 2018
The aim of the study was to examine the determining factors of students' video usage and their learning satisfaction relating to the supplementary application of educational videos, accessible in a Moodle environment in a Business Mathematics Course. The research model is based on the extension of "Technology Acceptance Model" (TAM), in…
Descriptors: Online Courses, Electronic Learning, Multimedia Materials, Mathematics Activities
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Amundson, Lisa – Journal of Technology and Teacher Education, 2017
Web 2.0 technologies facilitate teacher partnerships in today's diverse classrooms. Teacher preparation programs are seeking the factors to support their students desire to use these technologies. A total of 590 preservice teachers reported the factors that lead to their behavioral intentions to use Web 2.0 technologies. Using the theoretical…
Descriptors: Web 2.0 Technologies, Preservice Teachers, Preservice Teacher Education, Intention
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Lu, Chris; Chang, Maiga; Kinshuk; Huang, Echo; Chen, Ching-Wen – Educational Technology & Society, 2014
The research presented in this paper is part of a 5-year renewable national research program in Canada, namely the NSERC/iCORE/Xerox/Markin research chair program that aims to explore possibilities of adaptive mobile learning and to provide learners with a learning environment which facilitates personalized learning at any time and any place. One…
Descriptors: Foreign Countries, Educational Games, Role Playing, Electronic Learning
Sadaf, Ayesha – ProQuest LLC, 2013
The purpose of this two phase mixed methods sequential explanatory study was to investigate factors that predict preservice teachers' intentions to use Web 2.0 technologies in their future classrooms and their ability to carry out their intentions during student teaching. The first phase explored factors based on the Decomposed Theory of Planned…
Descriptors: Preservice Teachers, Mixed Methods Research, Predictor Variables, Intention
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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
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Ritzhaupt, Albert D.; Dawson, Kara; Cavanaugh, Cathy – Journal of Educational Computing Research, 2012
The purpose of this research was to examine the effects of teachers' characteristics, school characteristics, and contextual characteristics on classroom technology integration and teacher use of technology as mediators of student use of technology. A research-based path model was designed and tested based on data gathered from 732 teachers from…
Descriptors: Evidence, Elementary Secondary Education, Technology Integration, Path Analysis
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Pynoo, Bram; Tondeur, Jo; van Braak, Johan; Duyck, Wouter; Sijnave, Bart; Duyck, Philippe – Computers & Education, 2012
In this study, teachers' acceptance and use of an educational portal is assessed based on data from two sources: usage data (number of logins, downloads, uploads, reactions and pages viewed) and an online acceptance questionnaire. The usage data is extracted on two occasions from the portal's database: at survey completion (T1) and twenty-two…
Descriptors: Predictor Variables, Intention, Secondary School Teachers, Adoption (Ideas)
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Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo – Computers & Education, 2010
Student teachers should be prepared to integrate information and communication technology (ICT) into their future teaching and learning practices. Despite the increased availability and support for ICT integration, relatively few teachers intend to integrate ICT into their teaching activities (e.g., Ertmer, 2005). The available research has thus…
Descriptors: Constructivism (Learning), Preservice Teachers, Self Efficacy, Path Analysis
Meyer, Katrina A.; Xu, Yonghong Jade – Journal of Asynchronous Learning Networks, 2009
Based on earlier studies using the 1999 and 2004 National Study of Postsecondary Faculty (NSOPF) data [1, 2], a causal model explaining faculty technology use was constructed. Path analysis was used to test the causal effects of age, gender, highest degree, discipline (health science or not), recent research productivity, and teaching load on…
Descriptors: College Instruction, Intellectual Disciplines, Causal Models, Teaching Load
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Shiue, Ya-Ming – Journal of Educational Computing Research, 2007
Based on the decomposed theory of planned behavior, this study used path analysis to examine the relative strength of the factors that influence teachers' use of instructional technology. The study focused on teachers' use of word processors, spreadsheets, presentation software, e-mail, and Web browsers. A path analysis was performed on…
Descriptors: Foreign Countries, Path Analysis, Educational Technology, Courseware