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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
Poniatowski, Kelly; Johnson, Kirsten – Communication Teacher, 2023
Abilities to interpret, analyze, and report data are in-demand job skills that many colleges and universities struggle to incorporate into the curriculum. The client-based project outlined in this study examines the experiential learning pedagogy used to teach students media analytics. This semester-long project encourages students to complete a…
Descriptors: Communication (Thought Transfer), Data Analysis, Partnerships in Education, Athletics
Weathers, Danny; Aragón, Oriana – Marketing Education Review, 2019
As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…
Descriptors: Marketing, Curriculum Development, Teaching Methods, Data Analysis
Goff, Jay W.; Williams, Brian G.; Kilgore, Wendy – Strategic Enrollment Management Quarterly, 2016
Effective strategic enrollment management (SEM) efforts require vast amounts of internal and external data to ensure that meaningful reporting and analysis systems can assist managers in decision making. A wide range of information is integral for leading effective and efficient student recruitment and retention programs. This article is designed…
Descriptors: Enrollment Management, Decision Making, Student Recruitment, School Holding Power
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
Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
Willan, Momodou M. – Bulgarian Comparative Education Society, 2016
Conducting research can present a range of challenges for students because of the complex skills and knowledge required to have critical engagement with the entire research process. This paper looks at what was involved in shaping the research journey that I am currently undertaking at a Higher Education Institution (HEI). The focus is on research…
Descriptors: College Students, Student Research, Research Methodology, Student Experience
Selanik-Ay, Tugba – Educational Research and Reviews, 2016
In this study, a learning area in social studies curriculum called "Groups, institutions and social organizations" was used. It can be seen that an important role for teachers in a social studies programme is to benefit from non-governmental organizations. The aim of this study is to investigate primary school teacher candidates' social…
Descriptors: Figurative Language, Preservice Teachers, Nongovernmental Organizations, Foreign Countries
Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
Irby, Stefan M.; Phu, Andy L.; Borda, Emily J.; Haskell, Todd R.; Steed, Nicole; Meyer, Zachary – Chemistry Education Research and Practice, 2016
There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…
Descriptors: Chemistry, Formative Evaluation, Graduate Students, College Students
Glazer, Nirit – Chemistry Education Research and Practice, 2015
This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect…
Descriptors: Student Attitudes, Scientific Attitudes, Data Collection, Data Analysis
Chen, Pu-Shih Daniel; Gonyea, Robert M.; Sarraf, Shimon A.; BrckaLorenz, Allison; Korkmaz, Ali; Lambert, Amber D.; Shoup, Rick; Williams, Julie M. – New Directions for Institutional Research, 2009
Colleges and universities in the United States are being challenged to assess student outcomes and the quality of programs and services. One of the more widely used sources of evidence is student engagement as measured by a cluster of student engagement surveys administered by the Center for Postsecondary Research at Indiana University. They…
Descriptors: Data Analysis, Data Interpretation, National Surveys, College Students
Masnick, Amy M.; Morris, Bradley J. – Child Development, 2008
A crucial skill in scientific and everyday reasoning is the ability to interpret data. The present study examined how data features influence data interpretation. In Experiment 1, one hundred and thirty-three 9-year-olds, 12-year-olds, and college students (mean age = 20 years) were shown a series of data sets that varied in the number of…
Descriptors: Data Interpretation, Data Analysis, Children, Preadolescents
Eykamp, Paul W. – New Directions for Institutional Research, 2006
This chapter explores how multiple approaches including data mining can help examine how the lengths of student enrollment are associated with varying numbers of advanced placement units. (Contains 3 tables and 5 figures.)
Descriptors: Time to Degree, Enrollment, Advanced Placement, Educational Finance
O'Dell, Cynthia D.; Hoyert, Mark Sudlow – Teaching of Psychology, 2002
We describe a perceptual experiment that we have successfully used in Research Methods classes. Students attempt to identify a series of simple cookie cutter shapes using only the fingers and hands (haptic perception). Students read archival studies that have used this procedure, identify confounds, generate and test alternate hypotheses, and…
Descriptors: Experiments, Tactual Perception, Identification, Research Design
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