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Showing 1 to 15 of 25 results Save | Export
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West, Deborah; Heath, David; Huijser, Henk – Online Learning, 2016
This paper presents a dialogical tool for the advancement of learning analytics implementation for student retention in Higher Education institutions. The framework was developed as an outcome of a project commissioned and funded by the Australian Government's "Office for Learning and Teaching". The project took a mixed-method approach…
Descriptors: School Holding Power, Models, Higher Education, Mixed Methods Research
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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
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Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – International Review of Research in Open and Distributed Learning, 2016
Although the implementation of e-learning initiatives has reached advanced stages in developed countries, it is still in its infancy in many developing nations and the Middle East in particular. Recently, few public universities in Iraq have initiated limited attempts to use e-learning alongside traditional classrooms. However, different obstacles…
Descriptors: Barriers, Educational Opportunities, Electronic Learning, Program Implementation
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Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Castellano, Soledad; Arnedillo-Sánchez, Inmaculada – International Association for Development of the Information Society, 2016
This paper presents a discussion on potential conflicts originated by sensorimotor distractions when learning with mobile phones on-the-move. While research in mobile learning points to the possibility of everywhere, all the time learning; research in the area suggests that tasks performed while on-the-move predominantly require low cognitive…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Perceptual Motor Learning
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Olpak, Yusuf Ziya; Yagci, Mustafa; Basarmak, Ugur – Educational Research and Reviews, 2016
Community of inquiry (CoI) is the conceptual framework which describes critical prerequisite factors for deep and meaningful learning in online learning environments. Based on the literature concerning the CoI framework, it can be observed that studies in which three factors in the model (cognitive, social and teaching presence) were investigated…
Descriptors: Foreign Countries, Electronic Learning, Data Collection, Surveys
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Sarrab, Mohamed; Al Shibli, Ibtisam; Badursha, Nabeela – International Review of Research in Open and Distributed Learning, 2016
Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Higher Education
American Association of Collegiate Registrars and Admissions Officers (AACRAO), 2015
The February 2015 American Association of Collegiate Registrars and Admissions Officers (AACRAO) "60 Second Survey" asked respondents to identify whether or not their institution offers distance education, and if so, to answer additional questions about distance education course practices. The survey received 838 unique institutional…
Descriptors: Distance Education, Educational Practices, Comparative Education, Foreign Countries
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Stott, Angela; Hattingh, Annemarie – Educational Technology & Society, 2015
The paper presents a case study of the use of conceptual tutoring software to promote deep learning of the scientific concept of density among 50 final year pre-service student teachers in a natural sciences course in a South African university. Individually-paced electronic tutoring is potentially an effective way of meeting the students' varied…
Descriptors: Intelligent Tutoring Systems, Computer Software, Case Studies, Scientific Concepts
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Darab, B.; Montazer, Gh. A. – Computers & Education, 2011
Information technologies have caused the accumulation and interaction of knowledge to be increasingly reshaped with significant ramifications affecting the processes of acquisition, communication and dissemination of knowledge in almost all societies. In the meantime, assessing the capabilities of the educational system for the successful…
Descriptors: Electronic Learning, Higher Education, Learning Readiness, Information Technology
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Momeni, Mansor; Jamporazmey, Mona; Mehrafrouz, Mohsen; Bahadori, Fatemeh – International Journal on E-Learning, 2013
The development of information and communication technology (ICT) is changing the way in which people work, communicate and learn. Recently developing and implementing e-learning solutions have increased dramatically. According to heavily investing in this area, it is essential to evaluate its different aspects and understand measures, which…
Descriptors: Information Technology, Electronic Learning, Outcomes of Education, Educational Assessment
Smith, Molly S. – ProQuest LLC, 2011
The purpose of the study was to examine how public school technology leaders' leadership styles in Pennsylvania schools impact K-12 classroom teachers' integration of technology. The study collected data using two online surveys, the MLQ and LoTi, which measured leadership styles and levels of technology integration. Despite the large sample size…
Descriptors: Elementary Secondary Education, Leadership Styles, Technology Integration, Program Effectiveness
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Chow, Meyrick – Australasian Journal of Educational Technology, 2016
There is a growing body of evidence that feeling present in virtual environments contributes to effective learning. Presence is a psychological state of the user; hence, it is generally agreed that individual differences in user characteristics can lead to different experiences of presence. Despite the fact that user characteristics can play a…
Descriptors: Structural Equation Models, Self Efficacy, Technology Uses in Education, Educational Technology
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Bull, Prince; McCormick, Carlos – International Journal on E-Learning, 2012
This study investigated the use of text messaging as an educational tool in a pre-algebra course at a community college in the central region of North Carolina. The research was conducted in two pre-algebra classes with thirty-three students and one instructor. Data were gathered using qualitative and quantitative methods. A mixed method design…
Descriptors: Student Attitudes, Algebra, Electronic Learning, Qualitative Research
National Science Foundation, 2016
"Science and Engineering Indicators" (SEI) is first and foremost a volume of record comprising high-quality quantitative data on the U.S. and international science and engineering enterprise. SEI includes an overview and seven chapters that follow a generally consistent pattern. The chapter titles are as follows: (1) Elementary and…
Descriptors: Science Education, Engineering Education, Mathematics Education, STEM Education
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