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Science and Mathematics Education Commons™
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Articles 1 - 10 of 10
Full-Text Articles in Science and Mathematics Education
The Perceived Impact Of Project-Based Learning (Pbl) On Middle School Students’ Science, Technology, Engineering, And Mathematics (Stem) Identity And Engagement, Jonathan Olivera
The Perceived Impact Of Project-Based Learning (Pbl) On Middle School Students’ Science, Technology, Engineering, And Mathematics (Stem) Identity And Engagement, Jonathan Olivera
Theses and Dissertations
Despite multiple calls to action, the United States educational system is not producing enough viable contributors in the areas of science, technology, engineering, and mathematics (STEM). These fields continue to grow, and the STEM workforce continues to expand. However, the pool of citizens prepared to enter these professions is not keeping up with the demand. Part of this issue can be attributed to a diminishing interest in STEM by students, particularly during their identity forming adolescent years. Active learning strategies have proven successful in preventing this decline with project-based learning (PBL) being one of the most successful active learning strategies. …
A Space To Learn, Amy R. Goods
A Space To Learn, Amy R. Goods
Dissertations, Theses, and Capstone Projects
In this dissertation, I explore what it means to different people, in different places throughout life’s spectrum to create a space to learn. This dissertation is a collection of work that I have written throughout my time at the CUNY Graduate Center. The chapters herein represent an arch of my learning over the past five years. The title, A Space to Learn, has multiple meanings. For one, writing this dissertation has provided me a space to explore and reflect on a variety of topics, ranging from memory loss, to teacher preparation programs, to eugenics and special education, to tracking and …
Mathematics Attitudes And Mathematics Performance: Novel Approaches Towards Noncognitive Educational Measurement, Applications To Large-Scale Assessment Data, And Examinations Of Multigroup Invariance, Kalina Gjicali
Dissertations, Theses, and Capstone Projects
Academic performance is predicted by a multitude of demographic, contextual, cognitive, and noncognitive constructs. The noncognitive factors of achievement in mathematics that have previously been explored in depth are study skills, collaborative problem-solving, confidence, self-efficacy, and personality traits (Kyllonen, 2012). Limited applied research has explored the predictive value of noncognitive factors such as attitudes and beliefs in mathematics achievement – even though attitudes towards mathematics are a promising avenue for understanding the variability in mathematics achievement. The current research uses the theory of planned behavior (TPB) to explain high school students’ performance in mathematics in a series of three studies. …
Who Can Excel In Mathematics?, Marla A. Sole
Who Can Excel In Mathematics?, Marla A. Sole
Publications and Research
Students may erroneously believe that mathematics ability is largely innate and fixed (Kimball and Smith 2013). The evidence seems to support these mistaken beliefs. Women and minorities score lower on the mathematics section of the SAT (College Board 2017). When assessing students’ mathematics college readiness, a larger percentage of women, African Americans, and Hispanics fell below the benchmark (ACT 2017); and, in general, in science, engineering, math, and technology (STEM) fields, the gender and racial gaps in interest, performance, and degrees awarded have not closed (Neuhauser 2015). Persistent performance gaps can serve to reinforce students’ mistaken belief that women and …
Incorporating Undergraduate Research Experiences In An Engineering Technology Curriculum, Benito Mendoza, Pamela Brown
Incorporating Undergraduate Research Experiences In An Engineering Technology Curriculum, Benito Mendoza, Pamela Brown
Publications and Research
Undergraduate research is a high-impact practice leading to student success, engagement, interest in higher education, and skills development. There are two well-known models for incorporating research experiences in a program: Undergraduate Research Experiences (UREs) and Course-based Undergraduate Research Experiences (CUREs). UREs represent the apprentice model. They feature individual students in faculty research laboratories and provide the opportunity for one-on-one mentoring. On the other hand, CUREs are embedded into the curriculum and are open to most students. CUREs put high demands on one or a few mentors to guide many students. UREs and CUREs vary in selectivity, duration, setting, mentoring, and …
Should Students Assessed As Needing Remedial Mathematics Take College-Level Quantitative Courses Instead? A Randomized Controlled Trial, Alexandra W. Logue, Mari Watanabe-Rose, Daniel Douglas
Should Students Assessed As Needing Remedial Mathematics Take College-Level Quantitative Courses Instead? A Randomized Controlled Trial, Alexandra W. Logue, Mari Watanabe-Rose, Daniel Douglas
Publications and Research
This data set is for Should Students Assessed as Needing Remedial Mathematics Take College-Level Quantitative Courses Instead? A Randomized Controlled Trial (Logue, Watanabe-Rose, & Douglas, 2016).
The Future Of Natural Selection Knowledge Measurement: A Reply To Anderson Et Al. (2010), Ross Nehm, Irvin Sam Schonfeld
The Future Of Natural Selection Knowledge Measurement: A Reply To Anderson Et Al. (2010), Ross Nehm, Irvin Sam Schonfeld
Publications and Research
The development of rich, reliable, and robust measures of the composition, structure, and stability of student thinking about core scientific ideas (such as natural selection) remains a complex challenge facing science educators. In their recent article (Nehm & Schonfeld 2008), the authors explored the strengths, weaknesses, and insights provided by a detailed exploration of three commonly used measures of student thinking about natural selection in a large sample of underrepresented minority students. One of their core findings was that all of the tools they studied--including the CINS--have strengths and weaknesses that must be carefully taken into consideration by those …
Measuring Knowledge Of Natural Selection: A Comparison Of The C.I.N.S., An Open-Response Instrument, And An Oral Interview, Ross Nehm, Irvin Sam Schonfeld
Measuring Knowledge Of Natural Selection: A Comparison Of The C.I.N.S., An Open-Response Instrument, And An Oral Interview, Ross Nehm, Irvin Sam Schonfeld
Publications and Research
Growing recognition of the central importance of fostering an in-depth understanding of natural selection has, surprisingly, failed to stimulate work on the development and rigorous evaluation of instruments that measure knowledge of it. We used three different methodological tools, the Conceptual Inventory of Natural Selection (CINS), a modified version of Bishop and Anderson's (Bishop and Anderson [1990] Journal of Research in Science Teaching 27: 415-427) open-response test that we call the Open Response Instrument (ORI), and an oral interview derived from both instruments, to measure biology majors' understanding of and alternative conceptions about natural selection. We explored how these instruments …
A Rotating Panel Survey To Assess Quality Of Hunter College Education, Jennifer Sousa Brennan, William (Bill) H. Williams
A Rotating Panel Survey To Assess Quality Of Hunter College Education, Jennifer Sousa Brennan, William (Bill) H. Williams
Publications and Research
A rotating sample design is proposed to most accurately measure the perceived quality of a Hunter College education. A representative sample of Hunter College students will belong to one of six rotating panels. Students will be contacted during four rotation periods and report their assessment of the two most recent months. It is advantageous to use a rotating panel design as opposed to a fixed panel design in order to guard against the negative effects of a deteriorating response rate. Stratified sampling will help to ensure representation across major departments and academic year of study. Methods for sampling procedures, stratification, …
How Much Does Poor Reading Lower Math Scores?, William (Bill) H. Williams, Sandra P. Clarkson Ph.D
How Much Does Poor Reading Lower Math Scores?, William (Bill) H. Williams, Sandra P. Clarkson Ph.D
Publications and Research
No abstract provided.