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Direct linkAbbasnasab Sardareh, Sedigheh; Brown, Gavin T. L.; Denny, Paul – Teaching Statistics: An International Journal for Teachers, 2021
Research students in social science disciplines frequently struggle to master statistical analysis. A contributing factor may be the statistical software that is used, as the design of such software may not address the needs of non-statisticians or non-computer programming students. Hence, decisions about which statistical software tools are most…
Descriptors: Comparative Analysis, Computer Software, Statistics, Introductory Courses
Incikabi, Lutfi; Sancar Tokmak, Hatice – Educational Media International, 2012
This case study examined the educational software evaluation processes of pre-service teachers who attended either expertise-based training (XBT) or traditional training in conjunction with a Software-Evaluation checklist. Forty-three mathematics teacher candidates and three experts participated in the study. All participants evaluated educational…
Descriptors: Foreign Countries, Novices, Check Lists, Mathematics Education
Phillips, Rob; McNaught, Carmel; Kennedy, Gregor – Routledge, Taylor & Francis Group, 2011
How can the average educator who teaches online, without experience in evaluating emerging technologies, build on what is successful and modify what is not? Written for educators who feel ill-prepared when required to evaluate e-learning initiatives, "Evaluating e-Learning" offers step-by-step guidance for conducting an evaluation plan of…
Descriptors: Electronic Learning, Educational Research, Online Courses, Web Based Instruction
National Academy of Sciences - National Research Council, Washington, DC. – 1991
The Panel on Guidelines for Statistical Software was organized in 1990 to document, assess, and prioritize problem areas regarding quality and reliability of statistical software; present prototype guidelines in high priority areas; and make recommendations for further research and discussion. This document provides the following papers presented…
Descriptors: Analysis of Variance, Computer Software Development, Computer Software Evaluation, Computer Software Selection
