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Velibor Mladenovici; Mariana Crasovan; Marian D. Ilie – Journal of Educational Sciences, 2024
Teaching conceptions in higher education, or so-called academics' conceptions of teaching (ACTs), are essential in informing teaching behaviors and influencing students' learning. Consequently, several attempts have been made since the 1990s to understand what ACTs represent and how they can be developed towards student-centered teaching. However,…
Descriptors: Concept Formation, Misconceptions, Educational Policy, Definitions
Jhon Alé; Beatrice Ávalos; Roberto Araya – Review of Education, 2025
This scoping review examines the integration of artificial intelligence (AI) tools into scientific education practices in school settings. Following the PRISMA statement guidelines, a literature search was conducted in the Web of Science and Scopus databases, identifying 2892 articles published between 2020 and 2024. After applying the eligibility…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Technology Integration, Science Education
Warmbrod, J. Robert – Journal of Agricultural Education, 2014
Forty-nine percent of the 706 articles published in the "Journal of Agricultural Education" from 1995 to 2012 reported quantitative research with at least one variable measured by a Likert-type scale. Grounded in the classical test theory definition of reliability and the tenets basic to Likert-scale measurement methodology, for the…
Descriptors: Agricultural Education, Educational Research, Periodicals, Journal Articles
Stainback, Susan; Stainback, William – B. C. Journal of Special Education, 1986
Problems in current special education categorical research practices are discussed in terms of consistency and reliability, student heterogeneity, and lack of distinct categorical groups. Suggested changes include characteristic-oriented categorization, corresponding changes in dissemination of research findings, and greater specificity and…
Descriptors: Classification, Data Analysis, Data Interpretation, Disabilities
Thompson, Bruce – 1987
This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…
Descriptors: Analysis of Variance, Data Interpretation, Editors, Effect Size

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