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Werning, Stefan – Journal of Media Literacy Education, 2020
This article explores how making data playable, i.e. developing exploratory co-creation techniques that use elements of play and games to interpret small to mid-sized datasets beyond the current focus on visual evidence, can help a) promote creative data literacy in higher education, and b) expand existing definitions of data literacy. The article…
Descriptors: Play, Data Interpretation, Creativity, Data Analysis
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Hesse-Biber, Sharlene – International Journal of Social Research Methodology, 2015
There are pedagogical challenges USA students and instructors face within mixed methods classrooms. Instructors of mixed methods are often self-taught, lacking adequate training in both qualitative and quantitative approaches to research. Students are not often trained in both research approaches. These dual training gaps can result in deep…
Descriptors: Mixed Methods Research, Graduate Students, College Faculty, Teaching Methods
Eybers, Sunet; Hattingh, Mariè – International Association for Development of the Information Society, 2016
Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…
Descriptors: Foreign Countries, Graduate Students, Data Analysis, Statistics
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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
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Frels, Rebecca K.; Sharma, Bipin; Onwuegbuzie, Anthony J.; Leech, Nancy L.; Stark, Marcella D. – Journal of Effective Teaching, 2011
From the perspective of doctoral students and instructors, we explain a developmental, interactive process based upon the Checklist for Qualitative Data Collection, Data Analysis, and Data Interpretation (Onwuegbuzie, 2010) for students' writing assignments regarding: (a) the application of conceptual knowledge for collecting, analyzing, and…
Descriptors: Graduate Students, Graduate Study, Check Lists, Qualitative Research