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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
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
Galyardt, April – ProQuest LLC, 2012
This dissertation examines two related questions. "How do mixed membership models work?" and "Can mixed membership be used to model how students use multiple strategies to solve problems?". Mixed membership models have been used in thousands of applications from text and image processing to genetic microarray analysis. Yet…
Descriptors: Statistical Distributions, Models, Learning Strategies, Problem Solving
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
Compulsory Participation in Online Discussions: Is This Constructivism or Normalisation of Learning?
Gulati, Shalni – Innovations in Education and Teaching International, 2008
A constructivist approach in teaching and learning requires one to change various habitual ways for thinking (von Glasersfeld 1995). There is a need for different ways of thinking and doing things, if conventional education is to realise a constructivist worldview. Educators and trainers in both academic and work sectors are promoting the use of…
Descriptors: Constructivism (Learning), Online Courses, Data Analysis, Discussion (Teaching Technique)
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

Schliemann, Analucia D. – Journal of the Learning Sciences, 2002
Considers individual students' progress as they use tools, discuss data distributions, and interact with teachers and their peers. Suggests that data display tools provide a partial context for discussions but do not constrain the students' interpretations or the way they reason about the data. (Author/MM)
Descriptors: Cognitive Processes, Concept Formation, Data Analysis, Data Interpretation

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