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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
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
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
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
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
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
Lee, Victor R. – Educational Technology, 2013
The Quantified Self (QS) movement is a growing global effort to use new mobile and wearable technologies to automatically obtain personal data about everyday activities. The social and material infrastructure associated with the Quantified Self (QS) movement provides a number of ideas that educational technologists should consider incorporating…
Descriptors: Educational Technology, Handheld Devices, Educational Practices, Educational Change
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
Corn, Jenifer O.; Oliver, Kevin M.; Hess, Clara E.; Halstead, Elizabeth O.; Argueta, Rodolfo; Patel, Ruchi K.; Tingen, Jennifer; Huff, Jessica D. – Educational Technology, 2010
Twelve high schools in North Carolina piloted a 1:1 learning initiative, where every student and teacher received a laptop computer with wireless Internet access provided throughout the school. The overall goals of the initiative were to improve teaching practices; increase student achievement; and better prepare students for work, citizenship,…
Descriptors: High Schools, Focus Groups, Student Surveys, Computers
Dworetzky, John P. – Educational Technology, 1975
Descriptors: Data Collection, Educational Technology, Electronic Equipment, Feedback
Musick, Patricia L. – Educational Technology, 1975
Article describes a new type of data display which responds to changes over time and through space. Graphic maps of behavior called SKEMS are capable of portraying the dynamics of behavior--the structure and pattern of relationships over time. (Author/HB)
Descriptors: Data Collection, Educational Research, Interaction, Student Behavior
Denton, Jon J.; Sexton, Michael J. – Educational Technology, 1978
Use of the photograph as a technical resource for recording and maintaining data for formative evaluation is discussed. Some advantages and limitations of its use in the classroom are outlined, and types of data appropriate to the medium are suggested. (RAO)
Descriptors: Classroom Observation Techniques, Curriculum Evaluation, Data Collection, Formative Evaluation