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Yinka Olusoga; Catherine Bannister; Julia Bishop; Valerio Signorelli – Sage Research Methods Cases, 2022
This case study examines the complexities of rapid-response data collection via the Play Observatory project's online qualitative survey of children, families, and child-oriented organizations. This research took place during a global pandemic and combined data collection with cataloguing and preserving materials for future research. Placing…
Descriptors: Play, Child Behavior, National Surveys, National Organizations
Jennifer Shearman – Sage Research Methods Cases, 2022
This case study describes a Q methodology study which captured and analyzed the viewpoints of 45 UK teachers online. The teachers might liken their participation in the study to a "card sort" activity: their relative placement of statement cards revealed their opinions of mastery in mathematics. Factor analysis of the completed sorts…
Descriptors: Foreign Countries, Online Surveys, Research Methodology, Research Problems
Sorte, Cascade J. B.; Aguilar-Roca, Nancy M.; Henry, Amy K.; Pratt, Jessica D. – CBE - Life Sciences Education, 2020
Science instructors are increasingly incorporating teaching techniques that help students develop core competencies such as critical-thinking and communication skills. These core competencies are pillars of career readiness that prepare undergraduate students to successfully transition to continuing education or the workplace, whatever the field.…
Descriptors: Mentors, Program Effectiveness, Data Analysis, Data Interpretation
Martin, Michael O., Ed.; von Davier, Matthias, Ed.; Mullis, Ina V. S., Ed. – International Association for the Evaluation of Educational Achievement, 2020
The chapters in this online volume comprise the TIMSS & PIRLS International Study Center's technical report of the methods and procedures used to develop, implement, and report the results of TIMSS 2019. There were various technical challenges because TIMSS 2019 was the initial phase of the transition to eTIMSS, with approximately half the…
Descriptors: Foreign Countries, Elementary Secondary Education, Achievement Tests, International Assessment
Advance CTE: State Leaders Connecting Learning to Work, 2020
The Strengthening Career and Technical Education for the 21st Century Act (Perkins V) pushes states to improve the public accessibility of Career Technical Education (CTE) data. According to the law, state agencies, as well as local recipients, must share data on the performance of all CTE students, and subgroups of learners, and make this…
Descriptors: Vocational Education, Federal Legislation, Educational Legislation, Data Collection
Meehan, Kasey; Ballerini, Victoria; Hagood, Shanell – Research for Action, 2020
To support state efforts to close postsecondary attainment equity gaps for students of color, Research for Action (RFA) developed a framework that describes three drivers behind efforts to place racial equity at the center of postsecondary policymaking and practice: awareness, inclusion, and integration. The framework is adapted from Equity in the…
Descriptors: Postsecondary Education, Equal Education, Minority Group Students, Racial Bias
Cumming, Therese M.; O'Neill, Sue C. – Intervention in School and Clinic, 2019
Students receiving behavioral supports in the third tier of the schoolwide positive behavioral interventions and supports (SWPBIS) framework are often identified as having emotional and behavior disabilities. Although educators implement evidence-based practices with fidelity, these practices are not always effective in supporting students with…
Descriptors: Data Use, Behavior Disorders, Emotional Disturbances, Intervention
Gamse, Beth C.; Spielberger, Julie; Axelrod, Jennifer; Spain, Angeline – Chapin Hall at the University of Chicago, 2019
Afterschool programs can offer enriching opportunities, homework help and a safe environment. To ensure that these programs are cohesive, high-quality and widely available, many cities have designed community-wide systems to coordinate the various afterschool programs offered by different providers. Having a way to collect and share reliable data…
Descriptors: After School Programs, Low Income Students, At Risk Students, Youth Programs
Padilla, Thomas – OCLC Online Computer Library Center, Inc., 2019
Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Educational Technology
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Irby, Stefan M.; Phu, Andy L.; Borda, Emily J.; Haskell, Todd R.; Steed, Nicole; Meyer, Zachary – Chemistry Education Research and Practice, 2016
There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…
Descriptors: Chemistry, Formative Evaluation, Graduate Students, College Students
Hildebrandt, Mireille – Journal of Learning Analytics, 2017
This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…
Descriptors: Behaviorism, Data Processing, Profiles, Learning Processes
Lewis, Steven; Hardy, Ian – British Journal of Educational Studies, 2017
This article draws upon recent theorising of the "becoming topological" of space--specifically, how new social spaces are constituted through relations rather than physical locations--to explore how standardised data, and specifically test data, have influenced teachers' work and learning. We outline the varied ways in which teacher…
Descriptors: Foreign Countries, Standardized Tests, Elementary School Teachers, Data Collection
Hagaman, Ashley K.; Wutich, Amber – Field Methods, 2017
There is much debate over the number of interviews needed to reach data saturation for themes and metathemes in qualitative research. The primary purpose of this study is to determine the number of interviews needed to reach data saturation for metathemes in multisited and cross-cultural research. The analysis is based on a cross-cultural study on…
Descriptors: Interviews, Data Collection, Qualitative Research, Cross Cultural Studies
Eaton, Sarah Elaine – Interchange: A Quarterly Review of Education, 2017
This article shares the findings of a study investigating institutional policy definitions of plagiarism at twenty English-speaking Canadian universities. The types of primary sources consulted for this study included: (1) university academic calendars for 2016-2017, (2) institutional policies on academic misconduct, and (3) student academic codes…
Descriptors: Educational Policy, School Policy, Definitions, Plagiarism

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