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Ponomarenko, Alexey N.; Svirina, Ekaterina M. – Statistics Education Research Journal, 2020
Typically, training in Russia for professionals includes school, university, and postgraduate education. People make their choice regarding university or job after school, and they choose jobs after university. These are very sensitive matters. Help in making the right choice is a real asset. The Russian Association of Statisticians (RASt) is an…
Descriptors: Foreign Countries, Statistics, Mathematics Education, Professional Associations
Makkonen, Reino; White, Melissa Eiler – WestEd, 2020
This knowledge brief is part of a continuing series designed to inform California education leaders about new research findings on key state policy topics. It summarizes recent findings on improving the access to, and the use of, teacher workforce data in California, and focuses on the importance of instituting a statewide teacher data system that…
Descriptors: Data Use, Data Collection, Decision Making, State Policy
Pustulka, Paula; Bell, Justyna; Trabka, Agnieszka – Field Methods, 2019
This article addresses methodological issues related to the consequences of researchers' range of insider identities that emerge over the course of completing subsequent stages of qualitative migration research projects. Taking on a temporal approach to the insider status evolving over the course of field entry, data collection, data analysis, and…
Descriptors: Migration, Social Science Research, Interviews, Researchers
Brion-Meisels, Gretchen; O'Neil, Eliza; Bishop, Sarah – Equity Assistance Center Region II, Intercultural Development Research Association, 2022
Before developing a school- and community-wide work plan around preventing bullying and harassment, school administrators should employ data collection tools to determine their specific areas of focus. Successful bullying prevention efforts must be driven by local data and rooted in research on effective practices. These policies must undergo…
Descriptors: Bullying, Prevention, Antisocial Behavior, Educational Practices
Cannistrà, Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
Williams, Gaye – ZDM: Mathematics Education, 2022
David Clarke's research has shifted the focus of classroom research in mathematics education from study of cultural patterns to study of patterns of participation and the learning that can result in highly complex social environments. His Complementary Accounts Methodology which informed the Learner's Perspective Study design included multi-source…
Descriptors: Educational Research, Research Methodology, Mathematics Education, Data Collection
Wright, Susan L.; Chitavi, Michael – Research in Higher Education Journal, 2022
This paper describes a process for evaluating student learning at the course-level. Course-level data is used to inform continuous improvement of program-level assessment. The sample consists of direct and indirect measures related to 101 students enrolled in a principles of financial accounting course. Direct measures indicate that most students…
Descriptors: Student Evaluation, Outcomes of Education, Data Collection, Academic Achievement
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2022
The authors discuss the use of surveys for collecting data from a population sample and emphasise the importance of being careful with the language of data collection. [For "The Data Files 5: Graphs for Exploring Relationships," see EJ1355504.]
Descriptors: Surveys, Data Collection, Statistics Education, Foreign Countries
John Y. H. Bai; Olaf Zawacki-Richter; Wolfgang Muskens – Turkish Online Journal of Distance Education, 2024
Artificial intelligence in education (AIEd) is a fast-growing field of research. In previous work, we described efforts to explore the possible futures of AIEd by identifying key variables and their future prospects. This paper re-examines our discussions on the governance of data and the role of students and teachers by considering the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Governance
Lena Schmidt; Saleh Mohamed; Nick Meader; Jaume Bacardit; Dawn Craig – Research Synthesis Methods, 2024
The amount of grey literature and 'softer' intelligence from social media or websites is vast. Given the long lead-times of producing high-quality peer-reviewed health information, this is causing a demand for new ways to provide prompt input for secondary research. To our knowledge, this is the first review of automated data extraction methods or…
Descriptors: Automation, Natural Language Processing, Literature Reviews, Data Collection
Sujay V. Sabnis; Jennifer R. Wolgemuth – School Psychology International, 2024
Validity refers to the extent to which a given study reflects the dominant values of a research community regarding what constitutes "good" research. Methodological texts on qualitative research provide a wide range of criteria and strategies to help qualitative researchers validate their studies. Given the importance of these strategies…
Descriptors: School Psychology, Research Methodology, Qualitative Research, Coding
Ali Yildiz; Bünyamin Ispir – Online Submission, 2024
The study aims to reveal the thoughts of the researchers about the data collection process in the studies whose data were provided by the participants' views. The case study approach, one of the qualitative research designs, was used in the study. The study group of the research consists of a total of 12 experienced researchers, 9 women, and 3…
Descriptors: Doctoral Students, College Graduates, Student Research, Student Attitudes
Helen Urpi Wagner-Coello; Maria Elena Villar; Matthew DeGennaro – Discover Education, 2024
Citizen science is recognized as an important tool to engage the public in important scientific and environmental issues that impact them. Mosquito surveillance-based citizen science in college curricula have not received much attention even though its usage has the potential to actively engage students in inquiry and elevate student support for…
Descriptors: Citizen Participation, Scientific Research, Undergraduate Students, College Science
Alexa von Hagen; Bettina Müller; Natalie Vannini; Nils Rublevskis; Mirijam Schaaf; Stephan Jeck; Marion Müller-Staske; Gerhard Bachmann; Anna Sedlak; Joanna Wegerer; Gerhard Büttner – Canadian Journal of School Psychology, 2024
Many countries rely on statements issued by professional associations to delimit the scope of school psychological practice. It is, however, not always clear to what extent these statements match current practices and school psychologists' self-perception of their professional role, as empirical data is often unavailable or limited. This study…
Descriptors: Foreign Countries, School Psychology, School Counseling, School Psychologists
William Bosshardt; Amanda Jennings; Peter Davies – Journal of Economic Education, 2024
The authors of this article present arguments for why and how qualitative research should be used in economic education. These arguments recognize the nature of economics as a discipline and economics educators' current expertise and preferences. The authors have five goals: (i) clarifying how and why the use of qualitative research in economic…
Descriptors: Economics Education, Educational Research, Qualitative Research, Statistical Analysis

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