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Adrian Adams; Lauren Barth-Cohen – CBE - Life Sciences Education, 2024
In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…
Descriptors: Undergraduate Students, Physics, Science Instruction, Laboratory Experiments
Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
Sorte, Cascade J. B.; Aguilar-Roca, Nancy M.; Henry, Amy K.; Pratt, Jessica D. – CBE - Life Sciences Education, 2020
Science instructors are increasingly incorporating teaching techniques that help students develop core competencies such as critical-thinking and communication skills. These core competencies are pillars of career readiness that prepare undergraduate students to successfully transition to continuing education or the workplace, whatever the field.…
Descriptors: Mentors, Program Effectiveness, Data Analysis, Data Interpretation
Zagallo, Patricia; Meddleton, Shanice; Bolger, Molly S. – CBE - Life Sciences Education, 2016
We present our design for a cell biology course to integrate content with scientific practices, specifically data interpretation and model-based reasoning. A 2-year research project within this course allowed us to understand how students interpret authentic biological data in this setting. Through analysis of written work, we measured the extent…
Descriptors: Undergraduate Students, Science Education, Cytology, Instructional Design
Kjelvik, Melissa K.; Schultheis, Elizabeth H. – CBE - Life Sciences Education, 2019
Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…
Descriptors: Data Use, Scientific Research, Information Literacy, STEM Education
Round, Jennifer E.; Campbell, A. Malcolm – CBE - Life Sciences Education, 2013
The ability to interpret experimental data is essential to understanding and participating in the process of scientific discovery. Reading primary research articles can be a frustrating experience for undergraduate biology students because they have very little experience interpreting data. To enhance their data interpretation skills, students…
Descriptors: Biology, Undergraduate Students, Reading Assignments, Data Interpretation
Brownell, Sara E.; Hekmat-Scafe, Daria S.; Singla, Veena; Seawell, Patricia Chandler; Imam, Jamie F. Conklin; Eddy, Sarah L.; Stearns, Tim; Cyert, Martha S. – CBE - Life Sciences Education, 2015
We present an innovative course-based undergraduate research experience curriculum focused on the characterization of single point mutations in p53, a tumor suppressor gene that is mutated in more than 50% of human cancers. This course is required of all introductory biology students, so all biology majors engage in a research project as part of…
Descriptors: Research Projects, Science Instruction, Science Education, College Science
Barsoum, Mark J.; Sellers, Patrick J.; Campbell, A. Malcolm; Heyer, Laurie J.; Paradise, Christopher J. – CBE - Life Sciences Education, 2013
We redesigned the undergraduate introductory biology course by writing a new textbook ("Integrating Concepts in Biology" ["ICB"]) that follows first principles of learning. Our approach emphasizes primary data interpretation and the utility of mathematics in biology, while de-emphasizing memorization. This redesign divides biology into five big…
Descriptors: Biology, Science Instruction, Data Interpretation, Textbooks
Madlung, Andreas; Bremer, Martina; Himelblau, Edward; Tullis, Alexa – CBE - Life Sciences Education, 2011
There is increasing enthusiasm for teaching approaches that combine mathematics and biology. The call for integrating more quantitative work in biology education has led to new teaching tools that improve quantitative skills. Little is known, however, about whether increasing interdisciplinary work can lead to adverse effects, such as the…
Descriptors: Advanced Students, Learning Modules, Biology, Data Interpretation
Wendell, Douglas L.; Pickard, Dawn – CBE - Life Sciences Education, 2007
We have developed experiments and materials to model human genetics using rapid cycling "Brassica rapa", also known as Fast Plants. Because of their self-incompatibility for pollination and the genetic diversity within strains, "B. rapa" can serve as a relevant model for human genetics in teaching laboratory experiments. The experiment presented…
Descriptors: Genetics, Biodiversity, Data Interpretation, Laboratory Experiments
Kitchen, Elizabeth; King, Summer H.; Robison, Diane F.; Sudweeks, Richard R.; Bradshaw, William S.; Bell, John D. – CBE - Life Sciences Education, 2006
In this article we report a 3-yr study of a large-enrollment Cell Biology course focused on developing student skill in scientific reasoning and data interpretation. Specifically, the study tested the hypothesis that converting the role of exams from summative grading devices to formative tools would increase student success in acquiring those…
Descriptors: Feedback (Response), Academic Achievement, Program Effectiveness, Cytology