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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
Fincham, Ed; Gaševic, Dragan; Pardo, Abelardo – Journal of Learning Analytics, 2018
The widespread adoption of digital e-learning environments and other learning technology has provided researchers with ready access to large quantities of data. Much of this data comes from discussion forums and has been studied with analytical methods drawn from social network analysis. However, within this large body of research there exists…
Descriptors: Social Networks, Data Analysis, Academic Achievement, Correlation
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
Horikoshi, Izumi; Noguchi, Masato; Tamura, Yasuhisa – International Association for Development of the Information Society, 2016
In this paper, the authors attempted to evaluate design of leaning units with use of Learning Analytics technique on page flip information. Traditional formative assessment has been carried out by giving assignments and evaluating their results. However, the information that teacher can get from the evaluation is limited and coarse-grained. The…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
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
Doshmanziari, Esfandiar; Mostafavi, Aida – International Education Studies, 2017
The aim of this study was to examine the barriers to use of educational technology in the learning process of primary school students in district 13 of Tehran. This research in terms of purpose is practical, in terms of the title characteristics of the research is descriptive, and in terms of data collection method is a field research. The…
Descriptors: Foreign Countries, Barriers, Educational Technology, Learning Processes
Lingard, Bob – European Educational Research Journal, 2022
This paper provides an account of the topological and its description of contemporary culture and use as a research methodology, a topological lens, generally, and in education research specifically. Some commentary is proffered on the relationships between the topological and the topographical, between relations and locations. A critical account…
Descriptors: Research Reports, Research Methodology, Data Analysis, Time
Martín-Monje, Elena; Castrillo, María Dolores; Mañana-Rodríguez, Jorge – Computer Assisted Language Learning, 2018
Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Howell, Scott L.; Le, Beihe – Online Journal of Distance Learning Administration, 2017
The purpose of this paper is to identify and explain the best practice of using "big data" reports to help distance learning administrators better understand their own programs and represent them to stakeholders. The authors examine five reports: (1) the number and percentage of graduates from the main campus who also take classes at the…
Descriptors: Reports, Distance Education, Educational Technology, Technology Uses in Education
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
San Pedro, Maria Ofelia Z.; Baker, Ryan S.; Heffernan, Neil T. – Technology, Knowledge and Learning, 2017
Middle school is an important phase in the academic trajectory, which plays a major role in the path to successful post-secondary outcomes such as going to college. Despite this, research on factors leading to college-going choices do not yet utilize the extensive fine-grained data now becoming available on middle school learning and engagement.…
Descriptors: Educational Technology, Technology Uses in Education, Middle Schools, Postsecondary Education
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
Joffrion, Cynthia L. – ProQuest LLC, 2014
The implementation of instructional technology innovations in the United States high schools is influenced by many factors. In order to facilitate successful implementation of video conferencing in the classroom, school administrators must be aware of teacher concerns. The primary goal of this quantitative study was to investigate the concerns of…
Descriptors: Videoconferencing, High Schools, Adoption (Ideas), Educational Technology
Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
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