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Blankstein, Melissa; Wolff-Eisenberg, Christine – ITHAKA S+R, 2021
For many years, higher education data collection and funding efforts have focused on student success metrics like enrollment, graduation, retention, and course completion rates. At the same time, higher education leaders have become increasingly aware--in part because of the COVID-19 pandemic--of the vast array of challenges that college students…
Descriptors: Administrator Attitudes, COVID-19, Pandemics, Student Needs
Slavit, David; Nelson, Tamara Holmlund; Deuel, Angie – Journal of Teacher Education, 2013
This article measures and discusses six teacher groups' (a) time spent working with data and (b) time devoted to particular kinds of inquiry activities, and explores various contextual factors that influence these results. The authors make use of a framework useful in describing and analyzing the stance taken by teachers when they engage with…
Descriptors: Data, Teacher Collaboration, Inquiry, Data Collection
Anyan, Frederick – Qualitative Report, 2013
This paper analyzes the power relation between the interviewer and the interviewee in the qualitative research interview methodology. The paper sets out to grapple with the extent to which the dynamisms in power shifts influence data collection and analysis in the interview methodology. The exploration of power shifts in the qualitative research…
Descriptors: Power Structure, Interviews, Interpersonal Relationship, Qualitative Research
Showanasai, Parinya; Lu, Jiafang; Hallinger, Philip – Journal of Educational Administration, 2013
Purpose: The extant literature on school leadership development is dominated by conceptual analysis, descriptive studies of current practice, critiques of current practice, and prescriptions for better ways to approach practice. Relatively few studies have examined impact of leadership development using experimental methods, among which even fewer…
Descriptors: Instructional Leadership, Leadership Training, Educational Research, Computer Simulation
Ortiz, Jorge Jose – ProQuest LLC, 2013
This thesis examines the state of the art of building information systems and evaluates their architecture in the context of emerging technologies and applications for deep analysis of the built environment. We observe that modern building information systems are difficult to extend, do not provide general services for application development, do…
Descriptors: Buildings, Architecture, Data Processing, Information Systems
Heuser, Brian L.; Drake, Timothy A.; Owens, Taya L. – Journal of College Student Retention: Research, Theory & Practice, 2013
By examining the different methods and processes by which national data gathering agencies compile and submit their findings to the Organization for Economic Cooperation and Development (OECD), the authors (1) assess the methodological challenges of accurately reporting tertiary completion and graduation rates cross-nationally; (2) to examine the…
Descriptors: Foreign Countries, Higher Education, Graduation Rate, Educational Indicators
Hershkovitz, Arnon – Technology, Instruction, Cognition and Learning, 2015
Still lacking in the mainstream data-driven approaches to studying educational settings is the very basic, most popular educational setting -- that is, the classroom. Capturing data that describes learning in the classroom is the focus of the current issue. The articles in this issue present a large variety of data sources, data collection tools…
Descriptors: Data, Data Use, Instructional Improvement, Data Collection
Pence, Harry E. – Journal of Educational Technology Systems, 2015
Big Data is currently a hot topic in the field of technology, and many campuses are considering the addition of this topic into their undergraduate courses. Big Data tools are not just playing an increasingly important role in many commercial enterprises; they are also combining with new digital devices to dramatically change privacy. This article…
Descriptors: Data Collection, Privacy, Undergraduate Study, Technology Uses in Education
Chen, Bodong – Journal of Learning Analytics, 2015
In this commentary on Van Leeuwen (2015, this issue), I explore the relation between theory and practice in learning analytics. Specifically, I caution against adhering to one specific theoretical doctrine while ignoring others, suggest deeper applications of cognitive load theory to understanding teaching with analytics tools, and comment on…
Descriptors: Data Collection, Data Analysis, Theory Practice Relationship, Learning Theories
Logan, Jennifer L.; Quin~ones, Rosalynn; Sunderland, Deborah P. – Journal of Chemical Education, 2015
An assignment incorporating posters into a second-year analytical chemistry lab is described. Students work in groups and are assigned one of the application-themed weekly laboratories as a topic. Course data acquired for these weekly laboratories are compiled into spreadsheets that the poster group then analyzes to present in an on-campus poster…
Descriptors: Science Instruction, Assignments, Chemistry, Science Laboratories
Raymond, Chase Wesley – Language Awareness, 2015
Researchers from a variety of academic disciplines have begun to incorporate Web-based methodologies in their research agendas. Nonetheless, many of those interested in language ideologies--i.e. speakers' beliefs about language, as well as their rationalisation of those beliefs-- vehemently stand by site-specific ethnographic approaches. Rather…
Descriptors: Language Attitudes, Language Research, Ethnography, Research Methodology
Hunnicutt, Sally S.; Grushow, Alexander; Whitnell, Robert – Journal of Chemical Education, 2015
The POGIL-PCL project implements the principles of process-oriented, guided-inquiry learning (POGIL) in order to improve student learning in the physical chemistry laboratory (PCL) course. The inquiry-based physical chemistry experiments being developed emphasize modeling of chemical phenomena. In each experiment, students work through at least…
Descriptors: Inquiry, Science Instruction, Science Experiments, Chemistry
Slaven, Chip – Alliance for Excellent Education, 2015
Schools have long collected information about students, from basic emergency contact details to daily attendance statistics. But only recently have schools used education technology to collect solid, reliable information (or data) about how students learn--as well as details about their strengths, challenges, and individual traits that impact…
Descriptors: Data, Learning, Students, Data Collection
Cunningham, Jim – International Educational Data Mining Society, 2015
In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…
Descriptors: Research Projects, Remedial Mathematics, Coaching (Performance), Visual Aids
Shute, Valerie J.; Moore, Gregory R.; Wang, Lubin – International Educational Data Mining Society, 2015
We are using stealth assessment, embedded in "Plants vs. Zombies 2," to measure middle-school students' problem solving skills. This project started by developing a problem solving competency model based on a thorough review of the literature. Next, we identified relevant in-game indicators that would provide evidence about students'…
Descriptors: Middle School Students, Problem Solving, Educational Games, Bayesian Statistics

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