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New Aspects of Working with Scientific Data: A Study with Practicing Scientists and Science Teachers
Jin, Hui; Hokayem, Hayat; Cisterna, Dante – Research in Science & Technological Education, 2023
Background: New technology and increased collaboration have revolutionized how scientists work with data. This creates a need to identify new aspects of working with scientific data that are important for K-12 students to learn. Purpose: To address this need, we conducted a study with practicing scientists and K-12 science teachers. The purpose of…
Descriptors: Scientists, Science Teachers, Elementary School Teachers, Secondary School Teachers
Koomen, Michele Hollingsworth; Barron, Hillary A.; Hoffman, Alissa; Rodriguez, Elizabeth – Science Educator, 2019
This study explores how two middle school teachers utilized elements of scientific inquiry, including the higher sense making skills such as data analysis, interpretation, and drawing conclusions to engage their students in the processes of doing science. Using qualitative research methods, our case study situates the analysis within the macro and…
Descriptors: Middle School Teachers, Science Teachers, Science Instruction, Inquiry
Swanson, Lauren; Vernon, Heather; Bauer, Christina – Science Teacher, 2018
Understanding how scientific conclusions are drawn from data is central to learning about the nature of science. Many students struggle with aspects of reasoning from data, including identifying relationships among variables, interpreting graphs, coordinating theory and evidence, and not allowing personal beliefs to outweigh the data when forming…
Descriptors: Data Interpretation, Scientific Principles, Science Instruction, Science Activities
Kastens, Kim; Krumhansl, Ruth; Baker, Irene – Science Teacher, 2015
This article is aimed at teachers already experienced with activities involving small, student-collected data sets and who are now ready to begin working with large, online data sets collected by scientists and engineers. The authors discuss challenges, instructional strategies, and sources of appropriate lesson plans. With guidance, plus online…
Descriptors: Science Instruction, Data Collection, Data Analysis, Data Interpretation
Metin, Duygu; Ertepinar, Hamide – International Journal of Education in Mathematics, Science and Technology, 2016
The purposes of the present study are to elicit pre-service elementary science teachers' scientific and pseudoscientific beliefs about earthquake and to make inferences about their understandings of science. Although the subject of earthquake is not a pseudoscientific area, some pseudoscientific beliefs related to earthquake were used in this…
Descriptors: Preservice Teachers, Science Instruction, Science Education, Science Teachers
Sneider, Cary; Stephenson, Chris; Schafer, Bruce; Flick, Larry – Science Teacher, 2014
A "Framework for K-12 Science Education" identified eight practices as "essential elements of the K-12 science and engineering curriculum" (NRC 2012, p. 49). Most of the practices, such as Developing and Using Models, Planning and Carrying Out Investigations, and Analyzing and Interpreting Data, are well known among science…
Descriptors: High School Students, Secondary School Science, Thinking Skills, Computation

Vause, Judy; Coates, David – Primary Science Review, 1999
Explores ways of improving the confidence and competence of children and teachers in data handling and interpretation. (Author/CCM))
Descriptors: Data Interpretation, Elementary Secondary Education, Interpretive Skills, Science Instruction
Nielsen, Wendy S.; Nashon, Samson Madera – Alberta Journal of Educational Research, 2007
Students in small rural schools in British Columbia face barriers to accessing senior science courses. A case study employing questionnaire and interview methods sought the perspectives of principals, teachers, and students in the affected schools on this issue. Interpretive data analysis revealed the following barriers as key factors that affect…
Descriptors: Foreign Countries, Rural Schools, Science Education, Access to Education

Jinks, Jerry; Hoffer, Terry – School Science and Mathematics, 1989
Described is a study which was conducted as an exploratory assessment of science reviewers' perceptions for the future of science education. Arrives at interpretations for identified categories of computers and high technology, science curriculum, teacher education, training, certification, standards, teaching methods, and materials. (RT)
Descriptors: College Science, Computers, Data Interpretation, Futures (of Society)
Bowen, G. Michael; Roth, Wolff-Michael – Journal of Research in Science Teaching, 2005
The interpretation of data and construction and interpretation of graphs are central practices in science, which, according to recent reform documents, science and mathematics teachers are expected to foster in their classrooms. However, are (preservice) science teachers prepared to teach inquiry with the purpose of transforming and analyzing…
Descriptors: Investigations, Data Interpretation, Preservice Teachers, Graphs