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Jessie King; Barnaby Kelly; Nayla Rhein; Rhonda Rosengren – Biochemistry and Molecular Biology Education, 2024
To best prepare students for the real-world research environment, key skills, including experimental design, data analysis, communication of results, and critical thinking, should be key components of undergraduate science courses. Furthermore, the impact of the COVID-19 pandemic on in-person teaching has resulted in a need to develop courses that…
Descriptors: Undergraduate Students, Laboratory Experiments, Research Design, Data Interpretation
MacKay, Jon – Journal of Statistics and Data Science Education, 2022
Students need to know how to discern patterns and make decisions using visual information in our modern economy. However, there are few sources of real-world information available to instructors that give students access to visualizations to help develop their skills in interpreting complex situations using diverse data sources. This article…
Descriptors: Pandemics, COVID-19, Visual Aids, Data Analysis
Balaton, M. C.; Da Silva, L. F.; Carvalho, P. S. – Physics Education, 2020
In this paper, we aim to show strategies for improving graph interpretation skills at middle and high school students using OZOBOT® BIT, a small and relatively low-cost programmable robot which had been used to teach programming to young children. OZOBOT's speed can be controlled by drawing lines with colour codes, as well as through a visual…
Descriptors: Middle School Students, High School Students, Skill Development, Graphs
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
Thompson, Charee M. – Communication Teacher, 2015
Guided by the principle "good data presentation is timeless," (Cressey, 2014, p.305), this unit project challenges students to engage an alternative means of sharing communication research and to realize the potential for their presentations to become "visual legacies" through the creation of infographics. Students encounter…
Descriptors: Graphic Arts, Data, Class Activities, Data Collection
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
Smith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2015
Current educational reform calls for increased integration between science and mathematics to overcome the shortcomings in students' quantitative skills. Data Nuggets (free online resource, http://datanuggets.org) are worksheets that bring data into the classroom, repeatedly guiding students through the scientific method and making claims…
Descriptors: Inquiry, Science Process Skills, Educational Change, Statistical Analysis
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Paris, Scott G.; Luo, Serena Wenshu – Educational Researcher, 2010
The National Early Literacy Panel (2008) report identified early predictors of reading achievement as good targets for instruction, and many of those skills are related to decoding. In this article, the authors suggest that the developmental trajectories of rapidly developing skills pose problems for traditional statistical analyses. Rapidly…
Descriptors: Reading Achievement, Effect Size, Emergent Literacy, Data Interpretation
Kamman, Margaret L.; Long, Susanne K. – Journal of Special Education Leadership, 2010
The need for high-quality teachers in special education and the persistent shortage of teachers beckon school leaders to find ways to support beginning teachers. Induction is one mechanism that has gained widespread attention for its potential in addressing beginning teacher quality and retention. In this article, the authors describe one…
Descriptors: Special Schools, Teacher Persistence, Beginning Teacher Induction, School Districts
Earl, Lorna; Katz, Steven – Principal Leadership, 2005
Using data for school reform is like painting a series of pictures--pictures that are subtle and capture the nuances of the subject. This is a far cry from drawing stick figures or paint-by-numbers. Imagine the experiences of the French painter Claude Monet as he wandered through his garden at Giverny at different times of the day and year,…
Descriptors: Data Interpretation, Evaluative Thinking, Inquiry, Information Literacy
Burgess, Leigh – Principal Leadership, 2006
Educators are bombarded with data from all directions, but to effect change in the education field, they must be able to determine what key information and data are needed, understand how to use what they have learned from the data, and then use what they have learned to improve overall student achievement. Collecting and using data has become an…
Descriptors: Needs Assessment, Data Interpretation, Evaluative Thinking, County School Districts
Peer reviewedPittenger, David J. – Teaching of Psychology, 1995
Maintains that preparing graphs is an essential part of data analysis and representation. Asserts that, although psychologists use graphs extensively, most textbooks provide limited techniques for designing graphs. Reviews research on graphical techniques and includes recommended articles on the topic. (CFR)
Descriptors: Charts, Classroom Techniques, Data Analysis, Data Interpretation
Burley, Hansel – American School Board Journal, 2001
Disappointing high-stakes test results matter far less than the type of future citizens that schools produce. Citizenship values (teamwork, leadership, and neighborliness) are not assessed well by multiple-choice exams. Poor performers should not be segregated, data should be reinterpreted, and remediation should stress tutoring interventions, not…
Descriptors: Accountability, Citizenship Education, Data Interpretation, Elementary Secondary Education

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