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Yeung, Cheuk Yu; Shum, Kam Hong; Hui, Lucas Chi Kwong; Chu, Samuel Kai Wah; Chan, Tsing Yun; Kuo, Yung Nin; Ng, Yee Ling – International Association for Development of the Information Society, 2017
Attributes of teaching and learning contexts provide rich information about how students participate in learning activities. By tracking and analyzing snapshots of these attributes captured continuously throughout the duration of the learning activities, teachers can identify individual students who need special attention and apply different…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Handheld Devices
Martin, Taylor; Sherin, Bruce – Journal of the Learning Sciences, 2013
The learning sciences community's interest in learning analytics (LA) has been growing steadily over the past several years. Three recent symposia on the theme (at the American Educational Research Association 2011 and 2012 annual conferences, and the International Conference of the Learning Sciences 2012), organized by Paulo Blikstein, led…
Descriptors: Data Analysis, Learning Processes, Educational Research, Data Collection
Misko, Josie; Priest, Suellen – National Centre for Vocational Education Research (NCVER), 2009
This booklet provides details on the codes used to classify the verbatim suggestions for improvement made by students in their responses to the Student Outcomes Survey as well as the codes for various types of demographic information, and responses to questions about how students evaluate their training. These verbatim suggestions represent a…
Descriptors: Foreign Countries, Data Collection, Student Surveys, Student Attitudes

Kelly, Delos H. – Education, 1975
Article tested past theory and evidence that indicated the effect tracking seemed to have upon student's self-esteem. That eroded self-esteem can give rise to such behavioral outcomes as school failure and delinquency was examined. (Editor/RK)
Descriptors: Academic Achievement, Classification, Data Collection, Grouping (Instructional Purposes)
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Barman, Charles R.; Stein, Mary; Barman, Natalie S.; McNair, Shannan – Science and Children, 2003
Last fall, "Science and Children" invited kindergarten to grade eight teachers to participate in a study investigating students' ideas about plants and plant growth (Barman et al. 2002). Two hundred twenty-seven individuals from 16 states in the United States, one U.S. Territory, and one Canadian Province responded to this invitation and…
Descriptors: Plants (Botany), Concept Formation, Elementary Secondary Education, Elementary School Teachers
Miguel, Richard J.; Jipp, Lester F. – 1980
This document reports the results of an exploratory study designed to create a typology of programs based on the normative and personalistic dimensions of experiential education. This preliminary typology is unique in that it represents a break-through in providing researchers a classification system theoretically based and empirically tested. It…
Descriptors: Classification, Community Colleges, Data Collection, Education Work Relationship
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers