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Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Larbi-Apau, Josephine; Oti-Boadi, Mabel; Tetteh, Albert – International Journal on E-Learning, 2018
Both computer attitude and eLearning self-efficacy are critical complementary factors in determining confidence levels and behavioral belief systems, and can directly affect students' actions, performances and achievements. This study applied a multidimensional construct in validating computer attitude and eLearning self-efficacy of Psychology…
Descriptors: Computer Attitudes, Electronic Learning, Self Efficacy, Undergraduate Students
Martínez-Cerdá, Juan-Francisco; Torrent-Sellens, Joan – International Review of Research in Open and Distributed Learning, 2017
In recent decades, international organizations have developed initiatives that incorporate lifelong learning as a tool to increase the employability of citizens. In this context, the goal of this research is to test the influence of formal e-learning on estimating employment status. The research made use of a sample of 595 citizens in 2007 and…
Descriptors: Lifelong Learning, Electronic Learning, Employment Potential, Adult Education
Athens, Wendy – Online Learning, 2018
In an effort to characterize perceptions of learning community and engagement in relation to success for underrepresented populations of online learners at a public institution in southeastern United States, a survey was conducted in Spring 2016. The results of the survey were paired with institutional data to create a baseline engagement and…
Descriptors: Disproportionate Representation, Learner Engagement, Enrollment, Online Courses
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Fernandez, Heidi; Ferdig, Richard E.; Thompson, Lindsay A.; Schottke, Katherine; Black, Erik W. – Educational Technology & Society, 2016
This study sought to establish a baseline for understanding the epidemiology of online K-12 students with special health care needs, determine the prevalence in K-12 online schooling of students from certain racial/ethnic backgrounds, those with socioeconomic disadvantages, and determine how these students perform in online classes compared to…
Descriptors: Special Needs Students, Health Services, Virtual Classrooms, Elementary Secondary Education
Gibson, David; Clarke-Midura, Jody – International Association for Development of the Information Society, 2013
The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…
Descriptors: Psychometrics, Educational Games, Educational Research, Data Collection
Kingsley, Tara L.; Cassady, Jerrell C.; Tancock, Susan M. – Reading Horizons, 2015
This quantitative study was developed to explore the ability to impact elementary student 21st Century online research skills with a planned classroom intervention curriculum. The repeated measures quasi-experimental study randomly assigned all 5th grade classes in a Midwestern, suburban school (n = 418) to a 12-week intervention or control…
Descriptors: Research Skills, Internet, Elementary School Students, Grade 5
Juarez Collazo, Norma A.; Corradi, David; Elen, Jan; Clarebout, Geraldine – Higher Education Studies, 2014
Research has documented the use of tools in computer-based learning environments as problematic, that is, learners do not use the tools and when they do, they tend to do it suboptimally. This study attempts to disentangle cause and effect of this suboptimal tool use for experienced learners. More specifically, learner variables (metacognitive and…
Descriptors: Electronic Learning, Computer Assisted Instruction, Computer Uses in Education, Use Studies
Wladis, Claire; Hachey, Alyse C.; Conway, Katherine M. – Community College Review, 2015
Using data from more than 2,000 community college science, technology, engineering, and mathematics (STEM) majors in the National Postsecondary Student Aid Study, this research investigates how ethnicity, gender, non-traditional student risk factors, academic preparation, socio-economic status, and English-as-second-language/citizenship status…
Descriptors: Community Colleges, Electronic Learning, Online Courses, Enrollment Rate
Martin, Florence; Tutty, Jeremy I.; Su, Yuyan – Journal on School Educational Technology, 2010
Recent advancements in technology have changed the way educators teach and students learn (Wells, Fieger & Lange, 2005). In the last decade, educational trends have progressed towards online and blended instruction. One key in this revolution is the development of the Learning Management System (LMS); software that enables the management and…
Descriptors: Management Systems, Electronic Learning, Educational Trends, Self Efficacy
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries

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