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Swenson, Sandra; He, Yi; Boyd, Heather; Good, Kate Schowe – Journal of College Science Teaching, 2022
Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and secondhand data. Our results show that nearly 50% of the treatment group responses were accurate when describing the reason for…
Descriptors: Design, Heuristics, Data Analysis, Data Interpretation
Tanner, Richelle L.; Collins, Lisa E. – Journal of College Science Teaching, 2021
Understanding data analysis and interpreting data are key components of teaching interdisciplinary undergraduate students. We detail a semester-long research project that introduces students to long-term data sets, incorporates the use of widely available statistical analysis, and underscores an inquiry-based method of teaching climate change. Our…
Descriptors: Climate, Undergraduate Students, Interdisciplinary Approach, Research Projects
Maltese, Adam V.; Svetina, Dubravka; Harsh, Joseph A. – Journal of College Science Teaching, 2015
In the STEM fields, adequate proficiency in reading and interpreting graphs is widely held as a central element for scientific literacy given the importance of data visualizations to succinctly present complex information. Although prior research espouses methods to improve graphing proficiencies, there is little understanding about when and how…
Descriptors: STEM Education, Visualization, Data Interpretation, Graphs
Addis, Elizabeth A.; Powell-Coffman, Jo Anne – Journal of College Science Teaching, 2018
The Association of American Colleges and Universities ranks multiple process of science (POS) skills among the top-10 skills employers seek in college graduates. As part of an effort to explore and align the emphasis on POS skills in our science departments, we sought three things: (a) to determine if faculty and students felt enough time was…
Descriptors: College Students, College Science, Science Process Skills, Research Universities
Boose, David L. – Journal of College Science Teaching, 2014
Quantitative reasoning is a key intellectual skill, applicable across disciplines and best taught in the context of authentic, relevant problems. Here, I describe and assess a laboratory exercise that has students calculate their "carbon footprint" and evaluate the impacts of various behavior choices on that footprint. Students gather…
Descriptors: Nonmajors, Statistical Analysis, Data Collection, Computation
Hedin, Eric – Journal of College Science Teaching, 2007
In this article, the author presents informal surveys conducted on students regarding their opinions on the meaning of their existence. A total of 740 student responses are collected and summarized from eight sections of Astronomy 100. As a result of the study, it is apparent that "purpose in life" is of fundamental importance to students. The…
Descriptors: Student Interests, Interpersonal Communication, Student Reaction, Student Attitudes
Stanger-Hall, Kathrin; Merriam, Jennifer; Greuling, Ruth Ann – Journal of College Science Teaching, 2007
In this case study, based on the reported rediscovery of the Ivory-billed Woodpecker in April 2005, students examine a real-world example of the scientific process and explore the practical implications of their conclusions. The case tells the story of Brad Murky, a student and research assistant who must decide whether the available evidence is…
Descriptors: Ornithology, Animals, Research Assistants, Case Studies
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

Daemmrich, Ingrid G.; Duwel, Laura – Journal of College Science Teaching, 2002
Reports how students use raw data to create a number of narratives integrating group observations in the laboratory with individual responses to humanities readings. (Contains 21 references.) (DDR)
Descriptors: Data Interpretation, Higher Education, Integrated Curriculum, Interdisciplinary Approach