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Brady, Anna G. – Cultural Studies of Science Education, 2017
As has been widely discussed, the National Research Council's (NRC) current policy in United States education advocates supporting students toward acquiring skills to engage in scientific practices. NRC policy also suggests that supporting students in the practices of science may require different approaches than what is required for supporting…
Descriptors: Science Process Skills, Scientific Methodology, Scientific Literacy, Semiotics
Çelik, Harun; Pektas, Hüseyin Miraç – International Journal of Science and Mathematics Education, 2017
A one-group quasi-experimental design and survey methodology were used to investigate the effect of virtual laboratory practices on preservice teachers' (N = 29) graphic comprehension and interpretation skills with different learning approaches. Pretest and posttest data were collected with the Test of Understanding Kinematic Graphs. The Learning…
Descriptors: Preservice Teachers, Learning Strategies, Graphs, Skill Analysis
Ring, Malte; Brahm, Taiga; Randler, Christoph – International Journal of Science Education, 2019
In science, graphs are used to visualise data, relationships and scientific principles. Basic graph reading operations, i.e. reading single data points, recognising trends as well as conducting small extrapolations from the data are important skills for pupils and lay the groundwork for a comprehensive understanding of data visualisations across…
Descriptors: Graphs, Difficulty Level, Data Interpretation, Test Items
Howell, Roy D. – Measurement: Interdisciplinary Research and Perspectives, 2014
Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…
Descriptors: Statistical Analysis, Measurement, Causal Models, Data Interpretation
López Puga, Jorge – Teaching Statistics: An International Journal for Teachers, 2014
The aprioristic (classical, naïve and symmetric) and frequentist interpretations of probability are commonly known. Bayesian or subjective interpretation of probability is receiving increasing attention. This paper describes an activity to help students differentiate between the three types of probability interpretations.
Descriptors: Probability, Bayesian Statistics, Data Interpretation, Instructional Materials
Neuman, Delia – Journal of Computing in Higher Education, 2014
Over the past 30 years, qualitative research has emerged as a widely accepted alternative to the quantitative paradigm for performing research in educational communications and technology. As the new paradigm has evolved, it has spawned a variety of theoretical perspectives and methodological techniques that have both increased its potential…
Descriptors: Qualitative Research, Educational Technology, Data Collection, Validity
Arnold, Lydia; Norton, Lin – Higher Education Academy, 2018
This resource has been written specifically for higher education practitioners who are interested in improving students' learning experiences through the process of researching their own practice. We use the term 'higher education practitioners' to describe all who work in universities and who have a stake in students' learning experiences.…
Descriptors: Higher Education, Educational Research, Action Research, Definitions
Healthy Schools Campaign, 2018
The link between health and learning is clear: healthy, active and well-nourished children are more likely to attend school, arrive ready to learn and stay engaged in class. Yet far too many students spend their days in schools that do not offer them adequate clean air and water, nutritious food, physical activity and the support of a school…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Needs Assessment
Gobert, Janice D.; Moussavi, Raha; Li, Haiying; Sao Pedro, Michael; Dickler, Rachel – Grantee Submission, 2018
This chapter addresses students' data interpretation, a key NGSS inquiry practice, with which students have several different types of difficulties. In this work, we unpack the difficulties associated with data interpretation from those associated with warranting claims. We do this within the context of Inq-ITS (Inquiry Intelligent Tutoring…
Descriptors: Scaffolding (Teaching Technique), Data Interpretation, Intelligent Tutoring Systems, Science Instruction
Fitzallen, Noleine; Watson, Jane; Wright, Suzie – Australian Primary Mathematics Classroom, 2017
When working within a meaningful context quite young students are capable of working with sophisticated data. Year 3 students investigate thermal insulation and the transfer of heat in a STEM inquiry, developing skills in measuring temperature by conducting a statistical investigation, and using a stylised graph to interpret their data.
Descriptors: Grade 2, Elementary School Students, Graphs, Data Interpretation
Dewinter, Jeroen; Van Parys, Hanna; Vermeiren, Robert; van Nieuwenhuizen, Chijs – Autism: The International Journal of Research and Practice, 2017
This qualitative study explored how adolescent boys with autism spectrum disorder experience their sexuality. Previous research has demonstrated that sexuality is a developmental task for boys with autism spectrum disorder, as it is for their peers. Case studies have suggested a relation between autism spectrum disorder and atypical sexual…
Descriptors: Adolescents, Males, Autism, Pervasive Developmental Disorders
Edward Nuhfer; Steven Fleisher; Christopher Cogan; Karl Wirth; Eric Gaze – Numeracy, 2017
Despite nearly two decades of research, researchers have not resolved whether people generally perceive their skills accurately or inaccurately. In this paper, we trace this lack of resolution to numeracy, specifically to the frequently overlooked complications that arise from the noisy data produced by the paired measures that researchers employ…
Descriptors: Self Evaluation (Individuals), Accuracy, Numeracy, Scientific Literacy
Prodromou, Theodosia – Australian Mathematics Teacher, 2016
New technologies have completely altered the ways that citizens can access data. Indeed, emerging online data sources give citizens access to an enormous amount of numerical information that provides new sorts of evidence used to influence public opinion. In this new environment, two trends have had a significant impact on our increasingly…
Descriptors: Tables (Data), Data Interpretation, Information Skills, Capacity Building
Sireci, Stephen G. – Assessment in Education: Principles, Policy & Practice, 2016
A misconception exists that validity may refer only to the "interpretation" of test scores and not to the "uses" of those scores. The development and evolution of validity theory illustrate test score interpretation was a primary focus in the earliest days of modern testing, and that validating interpretations derived from test…
Descriptors: Test Validity, Misconceptions, Evaluation Utilization, Data Interpretation
P. Janelle McFeetors – Sage Research Methods Cases, 2016
This case study describes an experience of using constructivist grounded theory to analyze data. The project investigated how high school students improved their approaches to learning mathematics. Over 4 months, students participated in processes which supported their learning while simultaneously generating data, including interactive writing,…
Descriptors: High School Students, Mathematics Education, Data Analysis, Data Interpretation

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