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Perveen, Ayesha – Turkish Online Journal of Distance Education, 2018
This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…
Descriptors: Multiple Intelligences, Electronic Learning, Data Collection, Data Analysis
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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
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
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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McClain, Kay – Journal of the Learning Sciences, 2002
Describes the provenance of the data used in this issue. Includes design of the instructional sequence, instructional activities, classroom structure, and classroom episodes. (Author/MM)
Descriptors: Cognitive Processes, Concept Formation, Data Analysis, Data Collection
Ambrose, David W. – Educational Technology, 1991
Reviews relevant scholarly literature on hypermedia from two perspectives: (1) an analysis of hypermedia in terms of learning theory; and (2) the implications of several characteristics of hypermedia for instructional designers, including its impact on learner control, concept development, and collection of data on student performance. Research…
Descriptors: Academic Achievement, Concept Formation, Data Collection, Hypermedia
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Oxford, Rebecca L.; Green, John M. – TESOL Quarterly, 1995
Critiques an article by Virginia LoCastro that contrasted quantitative data (using the Strategy Inventory for Language Learning, or SILL) and qualitative data (using group interviews) and finds the conclusions drawn from the comparison unjustified on various grounds. A reply by LoCastro is included. (Contains a combined total of 20 references.)…
Descriptors: Data Collection, Learning Strategies, Learning Theories, Measurement Techniques
Ehrman, Madeline E. – 1996
The book discusses in detail a variety of practical and theoretical issues in identifying and addressing second language learning problems. Intended primarily for classroom teachers working with late teenagers or adults, it focuses on learning styles, affective factors, and learning strategies. Real and composite case studies are presented…
Descriptors: Anxiety, Case Studies, Classroom Communication, Classroom Research