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Hofer, Andrea-Rosalinde; Brüning, Nora – OECD Publishing, 2022
This country note presents the results of an analysis of undertake Portugal undertaken within the Labour Market Relevance and Outcomes of Higher Education Partnership Initiative project. The project was implemented by the OECD with the support of the European Commission with the aim of helping policy makers and higher education institutions…
Descriptors: Foreign Countries, Labor Market, Relevance (Education), Outcomes of Education
Nunan, Jordan; Stanier, Ian; Milne, Rebecca; Shawyer, Andrea; Walsh, Dave – Applied Cognitive Psychology, 2020
Law Enforcement Agencies gather intelligence in order to prevent criminal activity and "pursue" criminals. In the context of human intelligence collection, intelligence elicitation relies heavily upon the deployment of "appropriate" evidence-based interviewing techniques (a topic rarely covered in the extant research…
Descriptors: Law Enforcement, Data Collection, Evidence Based Practice, Interviews
Cheng, Albert; Zamarro, Gema; Orriens, Bart – Sociological Methods & Research, 2020
Unit nonresponse in panel data sets is often a source of bias. Why certain individuals attrite from longitudinal studies and how to minimize this phenomenon have been examined by researchers. However, this research has typically focused on data sets collected via telephone, postal mail, or face-to-face interviews. Moreover, this research usually…
Descriptors: Personality Traits, Predictor Variables, Internet, Surveys
Hayama, Tessai; Odate, Hidetaka; Ishida, Naoto – International Journal on E-Learning, 2020
The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…
Descriptors: Student Behavior, Data Collection, Measurement Equipment, College Students
Molnar, Alex; Boninger, Faith – Phi Delta Kappan, 2020
A school-focused commercializing process over 100 years in the making has been turbo-charged by the rise of data-collecting digital educational platforms and a pandemic that has forced widespread use of distance learning. Alex Molnar and Faith Boninger explain how advertising to students creates what John Dewey would call "mis-educative…
Descriptors: Commercialization, Educational Change, Privatization, Public Schools
de Alteriis, Martin – American Journal of Evaluation, 2020
This article examines factors that could have influenced whether evaluations of U.S. government--funded foreign assistance programs completed in 2015 had considered unintended consequences. Logit regression models indicate that the odds of considering unintended consequences were increased when all or most of seven standard data collection methods…
Descriptors: Federal Programs, International Programs, Program Evaluation, Influences
White, Jamison – National Alliance for Public Charter Schools, 2020
Everyone knows what a school is, but the question of what constitutes an individual school is more complex than one would expect. Since not all individual records that appear in state or federal data files are schools, this creates a persistent challenge for educational researchers. In order to ensure that we have an accurate accounting of charter…
Descriptors: Charter Schools, Educational Research, Research Problems, Data Collection
Goldhaber, Dan; Grout, Cyrus; Wolf, Malcom; Martinkova, Patricia – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
There is growing interest in using measures of teacher applicant quality to improve hiring decisions, but the statistical properties of such measures are poorly understood. We present evidence on structured ratings solicited from teacher applicants' references. We find that the reference ratings capture only one underlying dimension of applicant…
Descriptors: Job Applicants, Teacher Selection, Interrater Reliability, Decision Making
Naian Yin – ProQuest LLC, 2020
Online networks, as digital images reflecting every aspects of real world especially under the current context of information technology, have become the most massive and opulent data source these days, where vast amount of information keeps being produced and transmitted. Their rapid expansion in scale and data volume draws wide attention and…
Descriptors: Sampling, Networks, Topology, Computer Mediated Communication
Guo, Hongwen; Zhang, Mo; Deane, Paul; Bennett, Randy E. – Journal of Educational and Behavioral Statistics, 2019
We used an unobtrusive approach, keystroke logging, to examine students' cognitive states during essay writing. Based on data contained in the logs, we classified writing process data into three states: text production, long pause, and editing. We used semi-Markov processes to model the sequences of writing states and compared the state transition…
Descriptors: Writing Processes, Cognitive Processes, Essays, Keyboarding (Data Entry)
Ferguson, Rebecca; Clow, Doug; Griffiths, Dai; Brasher, Andrew – Journal of Learning Analytics, 2019
Learning analytics involve the measurement, collection, analysis, and reporting of data about learners and their contexts, in order to understand and optimize learning and the environments in which it occurs. Since emerging as a distinct field in 2011, learning analytics has grown rapidly, and early adopters around the world are developing and…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Technology
Clayton, Penny R.; Clopton, Jeremy – Journal of Education for Business, 2019
Data analytics is an integral part of planning and decision making in business. Priorities have shifted to hiring skilled employees to support a company's analytics requirements. The authors discuss the background of big data and data analytics, demand for trained professionals, and information on the development of a data analytics curriculum.…
Descriptors: College Students, Business Administration Education, Curriculum Design, Data Analysis
Erin E. Peters-Burton; Hong H. Tran; Brittany Miller – Journal of Science Teacher Education, 2024
The use of data to explain natural phenomena has been a core feature of science education, and science educators continue to call for an increased emphasis on teaching data practices. This mixed methods design-based research study adds to the growing body of research on data practices in science by explaining the learning trends of science…
Descriptors: Science Teachers, Faculty Development, Teacher Participation, Computation
Jacqueline M. Nowicki; Sarah Kaczmarek; A. Nicole Clowers – US Government Accountability Office, 2024
The early elementary school years are widely understood to be critical to a child developing a strong foundation for future academic success. Children arrive at kindergarten from diverse settings and experiences, and not all of them are "kindergarten ready." Kindergarten readiness refers to the skills and abilities needed to succeed in…
Descriptors: Elementary Secondary Education, Kindergarten, Young Children, School Readiness
Canadian Association of University Teachers, 2024
The Canadian Association of University Teachers (CAUT) is the national voice for academic and professional staff. CAUT represents more than 72,000 teachers, librarians, researchers, general staff, and other academic professionals at 125 post-secondary institutions across the country. CAUT works actively in the public interest to improve the…
Descriptors: Access to Education, Postsecondary Education, Foreign Countries, Educational Improvement

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