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Overton, Michael; Kleinschmit, Stephen – Teaching Public Administration, 2022
Public administration is struggling to contend with a substantial shift in practice fueled by the accelerating adoption of information technology. New skills, competencies and pedagogies are required by the field to help overcome the data-skills gap. As a means to address these deficiencies, we introduce the Data Science Literacy Framework, a…
Descriptors: Public Administration, Public Administration Education, Data, Information Literacy
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Stolz, Jörg; Lindemann, Anaïd – Journal of Mixed Methods Research, 2020
Despite tremendous interest in social games and game studies, the potential of game heuristics for the field of mixed methods remains unknown. This article introduces game heuristics to mixed methods research, showing how it was used in a specific study on the survival probabilities on the "Titanic." Specifically, we describe how game…
Descriptors: Data Analysis, Heuristics, Mixed Methods Research, Inferences
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Brusco, Michael; Steinley, Douglas – Psychometrika, 2011
Two-mode binary data matrices arise in a variety of social network contexts, such as the attendance or non-attendance of individuals at events, the participation or lack of participation of groups in projects, and the votes of judges on cases. A popular method for analyzing such data is two-mode blockmodeling based on structural equivalence, where…
Descriptors: Heuristics, Matrices, Data Analysis, Computation
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Macfadyen, Leah P.; Dawson, Shane; Pardo, Abelardo; Gaševic, Dragan – Research & Practice in Assessment, 2014
In the new era of big educational data, learning analytics (LA) offer the possibility of implementing real-time assessment and feedback systems and processes at scale that are focused on improvement of learning, development of self-regulated learning skills, and student success. However, to realize this promise, the necessary shifts in the…
Descriptors: Network Analysis, Data Analysis, Data Collection, Educational Assessment
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Waitelonis, Jorg; Ludwig, Nadine; Knuth, Magnus; Sack, Harald – Interactive Technology and Smart Education, 2011
Purpose: Linking Open Data (LOD) provides a vast amount of well structured semantic information, but many inconsistencies may occur, especially if the data are generated with the help of automated methods. Data cleansing approaches enable detection of inconsistencies and overhauling of affected data sets, but they are difficult to apply…
Descriptors: Foreign Countries, Computer Interfaces, Heuristics, Evaluation Criteria
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Atkinson, Maxine P.; Wills, Jeremiah B.; McClure, Amy I. – Teaching Sociology, 2008
The debate defining thinking, critical thinking, and higher-level thinking is expansive. Geersteen (2003) provides an excellent review of this literature and suggests that one way to distinguish between lower- and higher-level thinking is based on the level of abstraction. In this article, the authors focus on analysis and synthesis or…
Descriptors: Evidence, Tables (Data), Heuristics, Data Analysis
Hays, Danica G.; Singh, Anneliese A. – Guilford Publications, 2011
This highly readable text demystifies the qualitative research process--and helps readers conceptualize their own studies--by organizing the different research paradigms and traditions into coherent clusters. Real-world examples and firsthand perspectives illustrate the research process; instructive exercises and activities build on each other so…
Descriptors: Field Instruction, Qualitative Research, Discussion, Research Methodology
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Brusco, Michael J.; Stahl, Stephanie – Psychometrika, 2001
Describes an interactive procedure for multiobjective asymmetric unidimensional seriation problems that uses a dynamic-programming algorithm to generate partially the efficient set of sequences for small to medium-sized problems and a multioperational heuristic to estimate the efficient set for larger problems. Applies the procedure to an…
Descriptors: Algorithms, Data Analysis, Estimation (Mathematics), Heuristics
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Lilly, Sherril L. – Science Teacher, 1989
Describes a two-day forensic science course that is offered to eighth grade students enrolled in Science, Mathematics, and Technology Magnet Schools. Provides sample student activity sheets for the course. (Author/RT)
Descriptors: Chemistry, Data Analysis, Data Collection, Data Interpretation