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Varvantakis, Christos; Nolas, Sevasti-Melissa – International Journal of Social Research Methodology, 2019
In this paper, we argue for a view of analysis as an embodied practice and review others' testimonies of carrying out multimodal ethnography. This review suggests that metaphors are key for communicating what happens to "us" in the course of the research and our subsequent sense-making practices. We identify four metaphors for…
Descriptors: Ethnography, Figurative Language, Data Collection, Data Analysis
Rojon, Céline; McDowall, Almuth; Saunders, Mark N. K. – Field Methods, 2019
This article examines and appraises a novel approach for generating shared group constructs through aggregative analysis: the application of Honey's aggregation procedure to repertory grid technique (RGT) data. Revisiting personal construct theory's underlying premises and adopting a social constructivist epistemology, we argue that, while…
Descriptors: Administrators, Professional Personnel, Job Performance, Structured Interviews
Cascio, M. Ariel; Lee, Eunlye; Vaudrin, Nicole; Freedman, Darcy A. – Field Methods, 2019
In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many…
Descriptors: Coding, Teamwork, Interrater Reliability, Data Analysis
Liu, Ran; Stamper, John; Davenport, Jodi; Crossley, Scott; McNamara, Danielle; Nzinga, Kalonji; Sherin, Bruce – Journal of Computer Assisted Learning, 2019
Increasingly, student work is being conducted on computers and online, producing vast amounts of learning-related data. The educational analytics fields have produced many insights about learning based solely on tutoring systems' automatically logged data, or "log data." But log data leave out important contextual information about the…
Descriptors: Data Analysis, Learning Experience, Context Effect, Recordkeeping
Siddiqi, Javaid; Sims, Patrick C.; Goff, Allison L. – Hunt Institute, 2019
The rise of data collection in the public and private sectors has presented policymakers with an unprecedented opportunity to leverage vast amounts of data to create more efficient systems, improve program performance, and drive equitable outcomes. Empowering policymakers and practitioners with functional access to accurate data has the potential…
Descriptors: Longitudinal Studies, Data Collection, Data Analysis, Data Use
Boumi, Shahab; Vela, Adan – International Educational Data Mining Society, 2019
Simplified categorizations have often led to college students being labeled as full-time or part-time students. However, at many universities student enrollment patterns can be much more complicated, as it is not uncommon for students to alternate between full-time and part-time enrollment each semester based on finances, scheduling, or family…
Descriptors: Markov Processes, Enrollment, College Students, Full Time Students
Rhim, Lauren Morando; Kothari, Shaini; Lancet, Stephanie – National Center for Special Education in Charter Schools, 2019
The National Center for Special Education in Charter Schools (the Center) is deeply committed to ensuring that students with disabilities have equal access to charter schools and that charter schools are designed and operated to enable success for all students. To accomplish this goal, the Center conducts analyses and releases a comprehensive…
Descriptors: Educational Trends, Special Education, Charter Schools, Data Analysis
Harbour, Kristin E.; Saclarides, Evthokia Stephanie – Phi Delta Kappan, 2020
To support continuous professional development model in the teaching and learning of mathematics, many districts and schools have begun hiring elementary mathematics coaches and/or specialists (MCSs). However, limited large-scale empirical research exists that determines how the use of MCSs affect student learning and achievement. Kristin E.…
Descriptors: Mathematics Instruction, Coaching (Performance), Specialists, Data Analysis
Campbell, Craig D.; Smallwood, Zoe M.; Stewart, Malcolm I. – Journal of Chemical Education, 2020
Data-handling, processing, and analysis skills are an integral part of a chemist's skill set and, more generally, are highly sought by employers. We report a self-directed workshop to develop and advance these key skills using the popular spreadsheet program Microsoft Excel. Making use of its accessible user interface, various contextualized…
Descriptors: Chemistry, Science Instruction, Spreadsheets, Teaching Methods
Faucon, Louis; Olsen, Jennifer K.; Haklev, Stian; Dillenbourg, Pierre – Journal of Learning Analytics, 2020
In classrooms, some transitions between activities impose (quasi-)synchronicity, meaning there is a need for learners to move between activities at the same time. To make real-time decisions about when to move to the next activity, teachers need to be able to balance the progress of their students as they work at different paces. In this paper, we…
Descriptors: Classroom Techniques, Prediction, Learning Activities, Student Behavior
Hawkins, Christie; Bailey, Lucy E. – New Directions for Institutional Research, 2020
The increasing volume of information and the intense pace of its circulation are changing the ways universities access, use, analyze, and provide data. Many have championed the use of large-scale databases to track student admissions and retention, faculty productivity, student wellness, and other phenomena that shape our understandings of higher…
Descriptors: Institutional Research, Data Analysis, Data Use, Colleges
Parapadakis, Dimitris – London Review of Education, 2020
The successes of using artificial intelligence (AI) in analysing large-scale data at a low cost make it an attractive tool for analysing student data to discover models that can inform decision makers in education. This article looks at the case of decision making from models of student satisfaction, using research on ten years (2008-17) of…
Descriptors: Artificial Intelligence, Prediction, Student Needs, Needs Assessment
Ward, Robin A.; Albritton, Jennifer – Mathematics Teacher: Learning and Teaching PK-12, 2020
Connections is one of the Process Standards set forth by the National Council of Teachers of Mathematics (NCTM 2000), whereby teachers provide students with learning opportunities to "recognize and apply mathematics in contexts outside of mathematics." Similarly, the Standards for Mathematical Practice (NGA Center and CCSSO 2010) call…
Descriptors: Mathematics Instruction, Geometric Concepts, Grade 2, Elementary School Mathematics
Sahin, Harun; Akinci, Muhammed – Malaysian Online Journal of Educational Sciences, 2020
This research aims to determine the trends of the studies about in-service teacher training in Turkey. It is a descriptive study using document analysis based on qualitative research method. Various databases were searched and 56 articles about in-service teacher training between 2012 and 2019 were used and included in the study. The data of the…
Descriptors: Foreign Countries, Educational Research, Educational Trends, Inservice Teacher Education
Snodgrass, Jeffrey G.; Clements, Kaylin R.; Nixon, William Cody; Ortega, Cynthia; Lauth, Samantha; Anderson, Michelle – Field Methods, 2020
We present a qualitative data analysis framework that integrates perspectives from theme analysis, cultural models analysis, grounded theory, and content analysis. We demonstrate how these research traditions are united in their aim to, first, uncover meaningful themes and, subsequently, to understand those themes' relationships to each other. To…
Descriptors: Qualitative Research, Data Analysis, Content Analysis, Grounded Theory