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Berkland, Mara K.; Keys, Jennifer – Journal on Excellence in College Teaching, 2016
The authors argue that although "freshman survival guides" do address the common concerns of entering college students, these books largely entertain, placate, and enable students to circumvent expert advice on how successfully to navigate the transition to college. A content analysis of 10 popular first-year advice books revealed an…
Descriptors: Guides, Socialization, Misconceptions, College Freshmen
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Trumpower, David – Teaching Statistics: An International Journal for Teachers, 2013
This article describes an assessment activity that can show students how much they intuitively understand about statistics, but also alert them to common misunderstandings. How the activity can be used formatively to help improve students' conceptual understanding of analysis of variance is discussed. (Contains 1 figure and 1 table.)
Descriptors: Statistical Analysis, Formative Evaluation, Mathematics Education, Intuition
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Weeks, Andrea; Bachman, Beverly; Josway, Sarah; Laemmerzahl, Arndt F.; North, Brittany – American Biology Teacher, 2014
In order to challenge our undergraduate students' enduring misconception that plants, animals, and fungi must be "advanced" and that other eukaryotes traditionally called protists must be "primitive," we have developed a 24-hour take-home guided inquiry and investigation of live Physarum cultures. The experiment replicates…
Descriptors: Science Instruction, Undergraduate Students, College Science, Misconceptions
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Strayer, Jeremy F. – Mathematics Teacher, 2013
Statistical studies are referenced in the news every day, so frequently that people are sometimes skeptical of reported results. Often, no matter how large a sample size researchers use in their studies, people believe that the sample size is too small to make broad generalizations. The tasks presented in this article use simulations of repeated…
Descriptors: Sampling, Sample Size, Research Methodology, Statistical Analysis
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Farmer, Jim – Australian Senior Mathematics Journal, 2008
In this article, the author responds to the paper "Exploring pre-service teachers' understanding of statistical variation: Implications for teaching and research" by Sashi Sharma (see EJ779107). In that paper, Sharma described a study "designed to investigate pre-service teachers' acknowledgment of variation in sampling and…
Descriptors: Preservice Teacher Education, Preservice Teachers, Statistical Analysis, Probability
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Soong, Benson; Mercer, Neil; Er, Siew Shin – Physics Education, 2010
In this article, we provide a discussion on our revision method (termed "prescriptive tutoring") aimed at revealing students' misconceptions and misunderstandings by getting them to solve physics problems with an anonymous partner via the computer. It is currently being implemented and evaluated in a public secondary school in Singapore,…
Descriptors: Intervention, Physics, Foreign Countries, Statistical Analysis
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Jasien, Paul G. – Journal of Chemical Education, 2008
A semi-quantitative model has been developed to estimate the relative effects of dispersion, dipole-dipole interactions, and H-bonding on the normal boiling points ("T[subscript b]") for a subset of simple organic systems. The model is based upon a statistical analysis using multiple linear regression on a series of straight-chain organic…
Descriptors: Organic Chemistry, Multiple Regression Analysis, Statistical Analysis, Misconceptions
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Ray, Andrew M.; Beardsley, Paul M. – Science Activities: Classroom Projects and Curriculum Ideas, 2008
Even though photosynthesis is an obligatory part of the science curriculum, research has shown that students often have a poor understanding of it. The authors advocate that classroom coverage of the topic of photosynthesis should include not only its biochemical properties but also the role of photosynthesis or photosynthetic organisms in matter…
Descriptors: Teaching Styles, Environmental Education, Hypothesis Testing, Plants (Botany)
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Sotos, Ana Elisa Castro; Vanhoof, Stijn; Van den Noortgate, Wim; Onghena, Patrick – Educational Research Review, 2007
A solid understanding of "inferential statistics" is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications…
Descriptors: Research Needs, Research Methodology, Statistical Inference, Statistics