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Science and Mathematics Education Commons™
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Full-Text Articles in Science and Mathematics Education
Hybrid Plcs: Building Collaboration Among Teachers In Different Schools, Laura Robertson, Pamela Cromie, Lindsay Lester, Jennifer Hill, Diana O'Neal
Hybrid Plcs: Building Collaboration Among Teachers In Different Schools, Laura Robertson, Pamela Cromie, Lindsay Lester, Jennifer Hill, Diana O'Neal
Laura Robertson
How do highly motivated teachers from different schools collaborate? We formed a hybrid PLC that included face-to-face meetings and online interactions to improve student learning.
Emphasis On Test Scores In Education, Lindsay Olson
Emphasis On Test Scores In Education, Lindsay Olson
Empowering Research for Educators
This article discusses how too much emphasis on standardized testing can affect student learning as well as teaching in the classroom. It includes a personal interview with a high school teacher as well as an article from the Washington Post regarding a study that was completed involving testing students.
Teaching Undergraduates How To Analyze, Ryan Andrew Nivens, Rosalind Raymond Gann
Teaching Undergraduates How To Analyze, Ryan Andrew Nivens, Rosalind Raymond Gann
Ryan Andrew Nivens
Analysis is typically listed in taxonomies of higher order thinking. Academics consider these taxonomies worthwhile, but they are hard to teach and we are apt to ignore them. Today higher education is criticized for “dumbing down” curriculum or lowering standards. To rectify this, many policies at the state or national level are requiring higher education institutions to change. In K-12 education, Race to the Top and Common Core requirements are placing new demands on K-12 teacher preparation, which include evaluation of the analysis skills of pre-service teachers. But professors do not always view their disciplines as the proper place for …
Real Data Is Messy... And Manageable, Beverly Wood, Carl Clark
Real Data Is Messy... And Manageable, Beverly Wood, Carl Clark
Publications
Using real data in an introductory statistics course is a delicate balance between reality and manageability. The internet is awash with data that is useful for students to answer questions of interest to them but it is not always formatted as neatly as textbook data. The ASA's recently endorsed GAISE College Report 2016 points to the plausibility of considering multivariable thinking even if only at a rudimentary level. With both messy and multivariable data in mind, we present some activities/projects and sources for data to give introductory students the opportunity to engage with real data.