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Corbeil, Maria Elena; Corbeil, Joseph Rene; Khan, Badrul H. – Educational Technology, 2017
Due to rapid advancements in our ability to collect, process, and analyze massive amounts of data, it is now possible for educational institutions to gain new insights into how people learn (Kumar, 2013). E-learning has become an important part of education, and this form of learning is especially suited to the use of big data and data analysis,…
Descriptors: Program Implementation, Electronic Learning, Educational Technology, Data Analysis
Macfadyen, Leah P. – Educational Technology, 2017
Learning technologies are now commonplace in education, and generate large volumes of educational data. Scholars have argued that analytics can and should be employed to optimize learning and learning environments. This article explores what is really meant by "analytics", describes the current best-known examples of institutional…
Descriptors: Educational Research, Barriers, Higher Education, Pragmatics
Dede, Chris – Educational Technology, 2016
Data-informed instructional methods offer tremendous promise for increasing the effectiveness of teaching, learning, and schooling. Yet-to-be-developed data science approaches have the potential to dramatically advance instruction for every student and to enhance learning for people of all ages. Next steps that emerged from a recent National…
Descriptors: Data, Evidence Based Practice, Instructional Improvement, Educational Research
Gudivada, Venkat N. – Educational Technology, 2017
Various types of structured data collected by learning management systems such as Moodle have been used to improve student learning outcomes. Learning analytics refers to an assortment of data analysis methods used for this task. These methods typically do not consider unstructured data such as blogs, discussions, e-mail, and course messages.…
Descriptors: Data Collection, Data Analysis, Educational Research, Technology Uses in Education
Bodily, Robert; Graham, Charles R.; Bush, Michael D. – Educational Technology, 2017
This article describes the crossroads between learning analytics and learner engagement. The authors do this by describing specific challenges of using analytics to support student engagement from three distinct perspectives: pedagogical considerations, technological issues, and interface design concerns. While engaging online learners presents a…
Descriptors: Learner Engagement, Online Courses, Educational Opportunities, Barriers
Gropper, George L. – Educational Technology, 2016
Psychological testing can serve as a prototype on which to base a data-generated approach to instructional design. In "testing batteries" tests are used to predict achievement. In the proposed approach batteries of prescriptions would be used to produce achievement. In creating "test batteries" tests are selected for their…
Descriptors: Models, Instructional Design, Instructional Materials, Correlation
Daniel, Ben – Educational Technology, 2017
The increasing availability of digital data in higher education provides an extraordinary resource for researchers to undertake educational research, targeted at understanding challenges facing the sector. Big data can stimulate new ways to transform processes relating to learning and teaching, and helps identify useful data, sources of evidence…
Descriptors: Higher Education, Educational Research, Information Utilization, Data
Lowe, Heather – Educational Technology, 2016
Dartmouth and MIT have developed educational behavior apps and wearable devices that collect contiguous streams of data from student users. Given the consent of the user, the app collects information about a student's physical activity, sleep patterns, and location to form conjectures about social and academic behavior. These apps have the…
Descriptors: Student Behavior, Data Collection, Courseware, Behavior Patterns
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
In response to the wide-scale proliferation of "the cone of learning"--a fanciful retention chart confounded with Dale's Cone of Experience--the authors make four major claims debunking this fantasy and provide documentary evidence to support these claims. The first claim is that the data in the mythical retention chart do not make…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
Critics have been attempting to debunk the mythical retention chart at least since 1971. The earliest critics, David Curl and Frank Dwyer, were addressing just the retention data. Beginning around 2002, a new generation of critics has taken on the illegitimate combination of the retention chart and Edgar Dale's Cone of Experience--the corrupted…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
The authors are attempting to set the record straight regarding the sources frequently cited in the literature of the mythical retention chart and the corrupted Dale's Cone. They point out citations that do not actually connect with relevant works; provide correct citations of sources that are often cited erroneously; add references for overlooked…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Lin, Lin; Ross, Haj; O'Connor, Brian; Spector, J. Michael – Educational Technology, 2015
An interdisciplinary approach from linguistics, information sciences, learning sciences, and educational technology is used to explore the concept of information. Several key issues are highlighted, including: (1) learning language through meaning or probability; (2) the situational difference between message and meaning; (3) relationship between…
Descriptors: Interdisciplinary Approach, Concept Teaching, Educational Technology, Information Science
Christensen, James M.; Jones, Brian; Cooper, Jessica Rose; McAllister, Laura; Ware, Mark B.; West, Richard E. – Educational Technology, 2015
This study examines the trends of the "International Journal of Technology and Design Education" over the past decade (2005-2014). The researchers looked at trends in article topics, research methods, authorship, and article citations by analyzing keyword frequencies, performing word counts of article titles, classifying studies…
Descriptors: Educational Technology, Publications, Technology Education, Design
Kaufman, Roger – Educational Technology, 2015
Human competence is a vital element for any organization that expects to survive and then thrive. Developing individual performance ability is necessary but not sufficient because trained people alone will not make an organization successful. We must determine what people should deliver and why it should be delivered in order to add measurable…
Descriptors: Professional Development, Capacity Building, Job Performance, Training Methods
Whitten, Leah; Sanders, Anthony – Educational Technology, 2013
While engaged in academic reading, a university provost converged on an idea to use a preferential approach to students' selection of college courses,
similar to the recommendation systems used by "Netflix" and "Amazon." The result of this idea came to be known as "Degree Compass" and was implemented on the campus of…
Descriptors: Academic Achievement, Data Collection, Course Selection (Students), Student Attitudes
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