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Gonder, Jennifer, Ed.; Howell-Carter, Marya, Ed.; Anderson, Jessica, Ed. – Online Submission, 2013
Included herein is the conference proceedings of the 27th Annual Conference on the Teaching of Psychology: Ideas and Innovations, sponsored by the Psychology Department of the State University of New York at Farmingdale. The conference theme for 2013 was: The Science of Learning. The Conference featured a keynote address by Victor Benassi, Ph.D.…
Descriptors: Psychology, College Instruction, Conferences (Gatherings), Undergraduate Students
American Statistical Association, Washington, DC. – 1979
Twenty-two papers and discussions presented at the 1979 annual meeting of the American Statistical Association are reproduced. Papers dealing with student evaluation of instruction include "An Analysis of Student Evaluation of Instruction and Relationships Among Salary, Chairman's Ratings, and Student Ratings of Faculty," by Alvin C. Rencher;…
Descriptors: Higher Education, Mathematical Models, Mathematics Education, Mathematics Instruction
Grey, D. R., Ed.; And Others – 1983
The first volume of these conference proceedings includes an introductory talk (on why statistics should be taught), three plenary papers (discussing stochastics at the school level in the age of the computer, optimum balance between statistical theory and applications in teaching, and the relevance of statistical training), and 35 invited papers.…
Descriptors: Calculators, Case Studies, Elementary School Mathematics, Elementary Secondary Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection


