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Showing 1 to 15 of 19 results Save | Export
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Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
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Jessica Herring Watson; Ayanna Perkins; Amanda J. Rockinson-Szapkiw – TechTrends: Linking Research and Practice to Improve Learning, 2024
This predictive correlational study investigated to what extent, if at all, the constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) predicted special educators' use of assistive technology (AT) in virtual and hybrid settings during the COVID-19 pandemic. A survey was distributed to educators (n = 104) across the United…
Descriptors: Special Education Teachers, Technology Uses in Education, Electronic Learning, Blended Learning
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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Olney, Tom; Walker, Steve; Wood, Carlton; Clarke, Anactoria – Journal of Learning Analytics, 2021
Most higher education institutions view their increasing use of learning analytics as having significant potential to improve student academic achievement, retention outcomes, and learning and teaching practice but the realization of this potential remains stubbornly elusive. While there is an abundance of published research on the creation of…
Descriptors: Learning Analytics, Higher Education, STEM Education, College Faculty
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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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Koutromanos, George; Styliaras, Georgios; Christodoulou, Sotiris – Education and Information Technologies, 2015
The aim of this study was to use the Technology Acceptance Model (TAM) in order to investigate the factors that influence student and in-service teachers' intention to use a spatial hypermedia application, the HyperSea, in their teaching. HyperSea is a modern hypermedia environment that takes advantage of space in order to display content nodes…
Descriptors: Hypermedia, Intention, Technology Uses in Education, Technology Integration
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Agbatogun, Alaba Olaoluwakotansibe – Educational Technology Research and Development, 2013
The interactive digital technologies in education is an effective means used to widen educational opportunities. However, many faculty members do not use or adopt digital technologies as instructional tools. The purpose of this study was to predict faculty members' use of digital technologies in Nigerian Universities. 492 university lecturers from…
Descriptors: Foreign Countries, Developing Nations, Technology Integration, Teacher Surveys
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Flores, Raymond; Inan, Fethi; Lin, Zhangxi – Journal of Computers in Mathematics and Science Teaching, 2013
In this study, the National Educational Longitudinal Study (ELS:2002) dataset was used and a predictive data mining technique, decision tree analysis, was implemented in order to examine which factors, in conjunction to computer use, can be used to predict high or low probability of success in high school mathematics. Specifically, this study…
Descriptors: Educational Technology, Computer Uses in Education, Longitudinal Studies, Predictor Variables
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Sheehan, Michael D.; Johnson, R. Burke – Educational Technology Research and Development, 2012
The purpose of this research was to probe the philosophical beliefs of instructional designers using sound philosophical constructs and quantitative data collection and analysis. We investigated the philosophical and methodological beliefs of instructional designers, including 152 instructional design faculty members and 118 non-faculty…
Descriptors: Realism, Ethnicity, Research Methodology, Ethics
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Abbitt, Jason T. – Journal of Digital Learning in Teacher Education, 2011
This exploratory study investigated the relationship between measures of Technological Pedagogical Content Knowledge (TPACK) and the self-efficacy beliefs of preservice teachers about technology integration. Within a single-group, pretest-posttest design, a correlational analysis identified several knowledge domains in the TPACK model that the…
Descriptors: Preservice Teachers, Self Efficacy, Pretests Posttests, Technology Integration
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Laru, Jari; Naykki, Piia; Jarvela, Sanna – Internet and Higher Education, 2012
In this single-case study, small groups of learners were supported by use of multiple social software tools and face-to-face activities in the context of higher education. The aim of the study was to explore how designed learning activities contribute to students' learning outcomes by studying probabilistic dependencies between the variables.…
Descriptors: Web Sites, Electronic Publishing, Cooperative Learning, Group Activities
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Yen, Cherng-Jyh; Abdous, M'hammed – International Journal of Distance Education Technologies, 2011
The confluence of technology convergence, market forces, and student demand for greater access is reshaping higher education institutions. Indeed, the convergence of technological innovations in hardware, software, and telecommunications, combined with the ubiquity of learning management systems, is reconfiguring and strengthening traditional…
Descriptors: Learner Engagement, Blended Learning, Distance Education, Educational Technology
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Kundi, Ghulam Muhammad; Nawaz, Allah – Turkish Online Journal of Distance Education, 2011
One cannot predict the details of future but one can surely prepare for it. Researchers in eLearning are capitalizing on the user-perceptions as possible predictor of the user-attitudes towards the development, use, problems and prospects of eLearning in their institutions. This application is founded on the psychological fact that a human's…
Descriptors: Electronic Learning, Foreign Countries, Educational Technology, Predictor Variables
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Agyei, Douglas D.; Voogt, Joke M. – Computers & Education, 2011
Research has shown that "will" (positive attitudes), "skill" (technology competency), and "tool" (access to technology tools) are all essential ingredients for a teacher to effectively integrate information technology into classroom practices. This study focuses on the "will," "skill" and…
Descriptors: Foreign Countries, Developing Nations, Technology Integration, Educational Technology
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Abdous, M'hammed; Yen, Cherng-Jyh – Internet and Higher Education, 2010
This study was conducted to assess the predictive relationships among delivery mode (DM), self-perceived learner-to-teacher interaction, self-rated computer skill, prior distance learning experience, and learners' satisfaction and outcomes. Participants were enrolled in courses which used three different DMs: face-to-face, satellite broadcasting,…
Descriptors: Distance Education, Interaction, Educational Technology, Predictive Measurement
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