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Showing 1 to 15 of 23 results Save | Export
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Albelbisi, Nour Awni; Yusop, Farrah Dina – Turkish Online Journal of Educational Technology - TOJET, 2018
The purposes of this study were twofold: 1) to examine the influence of performance expectancy, and effort expectancy on secondary school students attitudes toward the use of a mathematics online homework package called MyiMaths; and 2) to predict the factor that best influences their attitudes. A 15 item, five-point Likertscale instrument was…
Descriptors: Secondary School Students, Online Courses, Mathematics Instruction, Homework
Van Inwegen, Eric G.; Adjei, Seth A.; Wang, Yan; Heffernan, Neil T. – International Educational Data Mining Society, 2015
User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…
Descriptors: Knowledge Level, Performance Factors, Error Patterns, Mathematics
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Barbera, Elena; Garcia, Iolanda; Fuertes-Alpiste, Marc – International Review of Research in Open and Distributed Learning, 2017
This paper presents a case study of the co-design process for an online course on Sustainable Development (Degree in Tourism) involving the teacher, two students, and the project researchers. The co-design process was founded on an inquiry-based and technology-enhanced model that takes shape in a set of design principles. The research had two main…
Descriptors: Vignettes, Case Studies, Sustainable Development, Online Courses
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Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning
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Mihai, Maryke; Nieuwenhuis, Jan – South African Journal of Education, 2015
This study concerns the management of an interactive whiteboard (IWB) network started in April 2008 in Mpumalanga, with a leading school partnered with several disadvantaged schools, transmitting lessons in Mathematics and Science. Many educational institutions try to provide learners with better learning opportunities by equipping schools with…
Descriptors: Information Networks, Rural Schools, Disadvantaged Schools, Mathematics Instruction
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Romrell, Danae; Kidder, Lisa C.; Wood, Emma – Journal of Asynchronous Learning Networks, 2014
As mobile devices become more prominent in the lives of students, the use of mobile devices has the potential to transform learning. Mobile learning, or mLearning, is defined as learning that is personalized, situated, and connected through the use of a mobile device. As mLearning activities are developed, there is a need for a framework within…
Descriptors: Models, Evaluation Methods, Course Evaluation, Electronic Learning
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McLeod, Scott; Richardson, Jayson W.; Sauers, Nicholas J. – Journal of Research on Leadership Education, 2015
Superintendents' instructional leadership is critical to the academic success of school systems. In addition to traditional work complexities, today's superintendents must navigate rapid and significant technological transformations. In this study, an exploratory sample of "technology-savvy" superintendents was interviewed to ascertain…
Descriptors: Superintendents, School Districts, Instructional Leadership, Technological Literacy
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Mac Callum, Kathryn; Jeffrey, Lynn; Kinshuk – Journal of Information Technology Education: Research, 2014
As mobile technology has advanced, awareness is growing that these technologies may benefit teaching and learning. However, despite this interest, the factors that will determine the acceptance of mobile technology by lecturers have been limited. This study proposed and tested a new model that extends the technology acceptance model (TAM) with…
Descriptors: Adoption (Ideas), Electronic Learning, Performance Factors, Technological Literacy
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Liu, Li-Wei; Chang, Chia-Ming; Huang, Hsiu-Chin; Chang, Yu-Liang – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study aims to explore the relationships among performance expectancy, effort expectancy, social influence, facilitating condition, behavioral intention and use behavior of university physical education students in Taiwan. Moreover, it also intends to examine the moderating effects of gender, age, and experience on the UTAUT model. The targets…
Descriptors: Foreign Countries, College Students, Social Networks, Social Media
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Cardoza, Yanet; Tunks, Jeanne – Computers in the Schools, 2014
This case study explored teachers' concerns, use, and actual practices in their adoption of the Bring Your Own Technology (BYOT) initiative. Participants were 12 secondary teachers in a private school setting. The Concerns-Based Adoption Model tools provided data: Stages of Concern Questionnaire (SoCQ), Levels of Use interview, and the Innovation…
Descriptors: Adoption (Ideas), Technology Uses in Education, Case Studies, Teacher Attitudes
Lin, Yu-Ju; Kim, ChanMin – Educational Technology, 2013
Most classrooms in the U.S. are composed of students with different learning styles and experiences as well as different achievement levels (Ferguson, 2001). Personalized learning is a unique way of students' learning determined by their own learning style, pace, and needs. Focusing on individual differences, personalized instruction aims to…
Descriptors: Guidelines, Technology Integration, Technology Uses in Education, Design Preferences
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Torrisi-Steele, Geraldine – International Journal of Adult Vocational Education and Technology, 2014
Universities are investing considerable resources into blended learning as an institutional strategy to respond to pressures of uncertain economies, increasing globalisation, and the changing expectations of cohorts of digitally savvy students. However, the widespread adoption of effective blended teaching practices has generally not been…
Descriptors: Blended Learning, Models, Technology Uses in Education, Teaching Methods
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Schutt, Stefan; Linegar, Dale – International Journal of Virtual and Personal Learning Environments, 2013
The authors' team has been working with virtual worlds since 2006, deploying them in diverse contexts including secondary schools, special schools, vocational education and training, higher education and the community sector. Here the authors outline their operational experience of the complex web of interrelated factors involved in running…
Descriptors: Virtual Classrooms, Learning Experience, Experiential Learning, Performance Factors
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El-Gayar, Omar; Moran, Mark; Hawkes, Mark – Educational Technology & Society, 2011
This research develops and empirically tests a factor model for understanding college students' acceptance of Tablet PC (TPC) as a means to forecast, explain, and improve their usage pattern in education. The analysis involved more than 230 students from a regional Midwestern institution. Overall, our model exhibited a good fit with the data and…
Descriptors: Student Attitudes, Goodness of Fit, Computer Attitudes, Access to Computers
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Armstrong, Scott; Simer, Lauren; Spaniol, Lee – New Directions for Community Colleges, 2011
Community colleges provide a wide range of educational services to very diverse groups of students. For that reason, the variety and flexibility of services provided can be critical. In addition, quickly changing needs result in quickly changing system requirements. In this chapter, community college CIOs speak to their roles, focusing on the…
Descriptors: Community Colleges, Educational Technology, Information Technology, Technology Planning
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