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Robertson, Katherine – Journal of College Science Teaching, 2016
The benefits of undergraduate research are well documented, and many colleges and universities include a senior research requirement for graduation. In addition, most science curricula attempt to include discoverystyle, laboratory components to prepare students for their research experiences and to expose them to research methods in different…
Descriptors: Undergraduate Students, Student Research, Student Experience, Budgets
Page, Robert B.; Espinosa, James; Mares, Chris A.; Del Pilar, Joselyn; Shelton, G. Robert – Journal of College Science Teaching, 2018
Education is frequently cited as the path to an informed citizenry with an optimistic economic outlook. Consequently, it is not surprising that there is an initiative to extend postsecondary educational opportunities to underserved and at-risk demographics. A challenge facing educators that serve at-risk populations is the tension between…
Descriptors: At Risk Students, STEM Education, Academic Achievement, Statistical Distributions
Petrosino, Anthony J.; Mann, Michele J. – Journal of College Science Teaching, 2018
Although data modeling, the employment of statistical reasoning for the purpose of investigating questions about the world, is central to both mathematics and science, it is rarely emphasized in K-16 instruction. The current work focuses on developing thinking about data modeling with undergraduates in general and preservice teachers in…
Descriptors: Undergraduate Students, Preservice Teachers, Mathematical Models, Data
Gray, Christine E.; Contreras-Shannon, Veronica E. – Journal of College Science Teaching, 2017
Analyzing, interpreting, and clearly presenting real data are skills we hope to develop in all students, majors and nonmajors alike. These process skills require lots of practice coupled with targeted feedback from instructors or mentors. Here we present a pedagogy implemented within a course-based research experience that is designed to help…
Descriptors: Feedback (Response), STEM Education, Science Instruction, Science Process Skills
Frey, Regina F.; Fisher, Beth A.; Solomon, Erin D.; Leonard, Denise A.; Mutambuki, Jacinta M.; Cohen, Cheryl A.; Luo, Jia; Pondugula, Santhi – Journal of College Science Teaching, 2016
This article describes a visual approach to integrating observational data into self-evaluation and peer review of teaching, practices that can lead to adoption of evidence-based active-learning strategies in STEM. This approach was designed to be implemented for undergraduate courses across disciplines. The presentation of observational data in a…
Descriptors: Active Learning, Self Evaluation (Individuals), Peer Evaluation, Educational Practices
Duke, L. Donald; Schmidt, Diane L. – Journal of College Science Teaching, 2011
The Toxics Geography Exercise was developed as an application-oriented exercise to develop skills in critical analysis in groups of undergraduate students from widely diverse academic backgrounds. Students use publicly available data on industrial activities, history of toxic material disposal, basic chemistry, regulatory approaches of federal and…
Descriptors: Undergraduate Students, Geography, Criticism, Policy Analysis
Feldberg, Ross – Journal of College Science Teaching, 2007
Several years ago, after a career of teaching biochemistry and introductory biology, the author decided to offer a course for biology majors on biological explanations of social phenomena (Biosocial Problems in Contemporary America). His goal in examining these topics was to help students develop critical-thinking skills that would allow them to…
Descriptors: Majors (Students), Biochemistry, Biology, Interdisciplinary Approach
Peer reviewedLawson, Anton E.; Lewis, Cecil M., Jr.; Birk, James P. – Journal of College Science Teaching, 2000
Investigates the reasons for data fabrication among undergraduate and graduate students. Presents several examples of getting misled by the candle and tumbler demonstration. Concludes that presented facts, concepts, or principles increase the incidence of data cooking. (YDS)
Descriptors: Cheating, Data, Ethics, Fraud

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