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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
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
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
Lahiri, Minakshi; Moseley, James L. – Educational Technology, 2013
"Cloud computing" is currently the "buzzword" in the Information Technology field. Cloud computing facilitates convenient access to information and software resources as well as easy storage and sharing of files and data, without the end users being aware of the details of the computing technology behind the process. This…
Descriptors: Technology Uses in Education, Technology Planning, Information Technology, Information Management
Lanham, Richard A. – Educational Technology, 2001
Discusses the need for human attention in an information economy to shift from data to information, or information to knowledge, and suggests it be called an economics of attention. Considers implications for higher education and how it will change the history of American higher education. (LRW)
Descriptors: Data, Educational History, Higher Education, Information Science
Schoenfeld, William N. – Educational Technology, 1993
Discusses the theory of behaviorism from a psychological perspective. Three issues are addressed: (1) the datum, including human verbal behavior; (2) the behavior stream; and (3) reduction, including a scientific viewpoint. (Contains two references.) (LRW)
Descriptors: Behavioral Science Research, Behaviorism, Data, Scientific Principles
Lopez, Antonio M., Jr.; Donlon, James – Educational Technology, 2001
Discusses knowledge engineering, computer software, and possible applications in the field of education. Highlights include the distinctions between data, information, and knowledge; knowledge engineering as a subfield of artificial intelligence; knowledge acquisition; data mining; ontology development for subject terms; cognitive apprentices; and…
Descriptors: Artificial Intelligence, Computer Software, Data, Educational Innovation