NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 21 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fancsali, Stephen E.; Murphy, April; Ritter, Steve – International Educational Data Mining Society, 2022
Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…
Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Strang, Kenneth David – International Journal of Web-Based Learning and Teaching Technologies, 2017
The premise for this study was that learner interaction in an online web-based course could be assessed in relation to academic performance, or in other words, e-learning. Although some studies reveal that learner interaction with online content is related to student academic performance, it remains unproven whether this is casual, or even if…
Descriptors: Interaction, Online Courses, Web Based Instruction, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Montgomery, Amanda P.; Mousavi, Amin; Carbonaro, Michael; Hayward, Denyse V.; Dunn, William – British Journal of Educational Technology, 2019
Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL…
Descriptors: Blended Learning, Educational Technology, Higher Education, Undergraduate Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Jo, Il-Hyun; Kim, Dongho; Yoon, Meehyun – Educational Technology & Society, 2015
This study describes the process of constructing proxy variables from recorded log data within a Learning Management System (LMS), which represents adult learners' time management strategies in an online course. Based on previous research, three variables of total login time, login frequency, and regularity of login interval were selected as…
Descriptors: Foreign Countries, Time Management, Adult Students, Integrated Learning Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Jia-Hua; Zhang, Ye-Xing; Zou, Qin; Huang, Sen – Educational Technology & Society, 2018
The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…
Descriptors: Data Collection, Data Analysis, Educational Research, Diaries
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
PDF on ERIC Download full text
Lowes, Susan; Lin, Peiyi; Kinghorn, Brian – Journal of Learning Analytics, 2015
As enrolment in online courses has grown and LMS data has become accessible for analysis, researchers have begun to examine the link between in-course behaviours and course outcomes. This paper explores the use of readily available LMS data generated by approximately 700 students enrolled in the 12 online courses offered by Pamoja Education, the…
Descriptors: Integrated Learning Systems, Student Behavior, Online Courses, Asynchronous Communication
Peer reviewed Peer reviewed
Direct linkDirect link
Firat, Mehmet – Journal of Information Technology Education: Research, 2016
Two of the most important outcomes of learning analytics are predicting students' learning and providing effective feedback. Learning Management Systems (LMS), which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users' behaviors. The purpose…
Descriptors: Academic Achievement, Integrated Learning Systems, Electronic Learning, Management Systems
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Andergassen, Monika; Mödritscher, Felix; Neumann, Gustaf – Journal of Learning Analytics, 2014
Learner-centric research on factors influencing learning results has focused, among other things, on student characteristics, demographic data, and usage patterns in learning management systems (LMSs). This paper complements the existing research by investigating potential correlations between learning results and LMS usage during exam…
Descriptors: Drills (Practice), Repetition, Blended Learning, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Tirado, Ramón; Hernando, Ángel; Aguaded, José Ignacio – Interactive Learning Environments, 2015
Interactive relationships in online learning communities can influence the process and quality of knowledge building. The aim of this study is to empirically investigate the relationships between network structures and social knowledge building in an asynchronous writing environment through discussion forums in a learning management system. The…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, Computer Assisted Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Feng; Cavanaugh, Cathy – Open Learning, 2012
This paper describes the effect of teacher comments, students' demographic information and learning management system utilisation on student final scores in algebra courses in a K-12 virtual learning environment. Students taking algebra courses in a state virtual school in the Midwestern US region during 2007-2008 participated in this study.…
Descriptors: Algebra, Online Courses, Web Based Instruction, Integrated Learning Systems
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers of the 13th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2016), October 28-30, 2016, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by the University of Mannheim, Germany, and endorsed by the…
Descriptors: Conferences (Gatherings), Foreign Countries, Constructivism (Learning), Technological Advancement
Tirado, Ramon; Hernando, Angel; Aguaded, Jose Ignacio – Online Submission, 2012
Interactive relationships in online learning communities can influence the process and quality of knowledge building. The aim of this study is to empirically investigate the relationships between network structures and social knowledge building in an asynchronous writing environment through discussion forums in a learning management system. The…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, Computer Assisted Instruction
Zafra, Amelia; Ventura, Sebastian – International Working Group on Educational Data Mining, 2009
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
Descriptors: Foreign Countries, Programming, Academic Achievement, Grades (Scholastic)
Previous Page | Next Page »
Pages: 1  |  2