NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)5
Since 2007 (last 20 years)46
Audience
What Works Clearinghouse Rating
Showing 1 to 15 of 46 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Maya Usher; Arnon Hershkovitz; Alona Forkosh-Baruch – British Journal of Educational Technology, 2021
The outbreak of the COVID-19 pandemic has changed education dramatically, with the sudden shift from face-to-face to emergency remote teaching. Online learning environments may facilitate data-driven instructional process; yet, our understanding regarding data-driven decisions is still limited. This quantitative study examined types of learners'…
Descriptors: College Faculty, COVID-19, Pandemics, Distance Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Strang, Kenneth David – Journal of Educational Technology Systems, 2016
This article starts with a detailed literature review of recent studies that focused on using learning analytics software or learning management system data to determine the nature of any relationships between online student activity and their academic outcomes within university-level business courses. The article then describes how data was…
Descriptors: Outcomes of Education, Higher Education, Computer Software, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Deekens, Victor M.; Greene, Jeffrey A.; Lobczowski, Nikki G. – British Journal of Educational Psychology, 2018
Background: Self-regulated learning (SRL) models position metacognitive monitoring as central to SRL processing and predictive of student learning outcomes (Winne & Hadwin, 2008; Zimmerman, 2000). A body of research evidence also indicates that depth of strategy use, ranging from surface to deep processing, is predictive of learning…
Descriptors: Independent Study, Learning Strategies, Electronic Learning, Computer Assisted Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Díaz-Lázaro, José Javier; Fernández, Isabel M. Solano; del Mar Sánchez Vera, María – Journal of New Approaches in Educational Research, 2017
The concept of Learning Analytics, as we understand it today, is relatively new but the practice of evaluating user behavior is not innovative. For years, technological development, along with other educational aspects, have encouraged, developed and facilitated this practice as a way of providing a personalized quality experience to students. The…
Descriptors: Foreign Countries, College Students, Cooperative Learning, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Mahdi, Hassan Saleh – Journal of Educational Computing Research, 2018
Mobile devices are considered as the most widely used information and communication technologies. They have provided great advantages in language learning. This study reports a meta-analysis of the effectiveness of using mobile devices on vocabulary learning. A meta-analysis was conducted on research that compared the outcomes from students…
Descriptors: Instructional Effectiveness, Handheld Devices, Electronic Learning, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Bendjebar, Safia; Lafifi, Yacine; Zedadra, Amina – International Journal of Distance Education Technologies, 2016
In e-learning systems, tutors have a significant impact on learners' life to increase their knowledge level and to make the learning process more effective. They are characterized by different features. Therefore, identifying tutoring styles is a critical step in understanding the preference of tutors on how to organize and help the learners. In…
Descriptors: Tutors, Tutoring, Tutor Training, Tutorial Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Singh, Divya; Ramutsheli, Mashamaite Peterlia – Distance Education, 2016
Personal information is among the most significant assets for businesses today, and clear transactional rules are becoming increasingly important. Organizations, including universities, are charged with more responsibility than ever to protect the personal information used during the course of their business, specifically student data. The paper…
Descriptors: Foreign Countries, Higher Education, Comparative Analysis, Database Management Systems
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Gallo, Travis; Waitt, Damon – BioScience, 2011
The Invaders of Texas program is a successful citizen science program in which volunteers survey and monitor invasive plants throughout Texas. Invasive plants are being introduced at alarming rates, and our limited knowledge about their distribution is a major cause for concern. The Invaders of Texas program trains citizen scientists to detect the…
Descriptors: Science Programs, Scientists, Science Education, Science Teachers
Ahn, June – Thomas B. Fordham Institute, 2016
This Fordham study, conducted by learning technology researcher June Ahn from NYU, dives into one of the most promising-and contentious-issues in education today: virtual schools. What type of students choose them? Which online courses do students take? Do virtual schools lead to improved outcomes for kids? With over thirty-five thousand students…
Descriptors: Charter Schools, Virtual Classrooms, Enrollment Rate, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Yinying; Decker, Janet R. – TechTrends: Linking Research and Practice to Improve Learning, 2014
Despite the relatively large number of students enrolled in Ohio's virtual schools, it is unclear how virtual schools compare to their traditional school counterparts on measures of student achievement. To provide some insight, we compared the school performance from 2007-2011 at Ohio's virtual and traditional schools. The results suggest that…
Descriptors: Virtual Classrooms, Sustainability, Academic Achievement, Conventional Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Zacharia, Zacharias C.; Lazaridou, Charalambia; Avraamidou, Lucy – International Journal of Science Education, 2016
The purpose of this study was to examine the impact of mobile learning among young learners. Specifically, we investigated whether the use of mobile devices for data collection during field trips outside the classroom could enhance fourth graders' learning about the parts of the flower and their functions, flower pollinators and the process of…
Descriptors: Foreign Countries, Handheld Devices, Data Collection, Influence of Technology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Swann, William – Journal of Learning Design, 2013
Since the emergence of eLearning in the 1990s, the craft of designing and developing online courseware has evolved alongside theoretical advances in the field. A variety of media combinations have been applied to course pages by eLearning practitioners, making it possible to examine learning concepts emerging from the research in the light of…
Descriptors: Electronic Learning, Courseware, Learning Theories, Cognitive Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Lowman, J. Joneen – Communication Disorders Quarterly, 2016
Professional development is a necessary component of maintaining competency in professional practice. Technology has opened the door to new formats for delivering professional development, in addition to more traditional modes of training. This study compared three professional development formats for improving the quality of standards-based…
Descriptors: Comparative Analysis, Professional Development, Individualized Education Programs, Educational Legislation
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4