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Direct linkSchildkamp, Kim; Datnow, Amanda – Leadership and Policy in Schools, 2022
Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…
Descriptors: Foreign Countries, Educational Improvement, Data Use, Failure
van Driel, Sharisse; Jarodzka, Halszka; Crasborn, Frank; van Strien, Johan; Brand-Gruwel, Saskia – International Journal of Research & Method in Education, 2023
Although various academic disciplines use data papers to support effective research practices, data papers are still uncommon in the educational sciences. Main goals of data papers are enhancing transparency regarding research processes and supporting data sharing among researchers and thus, open science. As many educational research projects…
Descriptors: Classroom Techniques, Educational Research, Data Use, Data Analysis
Download full textImamoglu, Mehmet; Erbas, Cagdas; Dikmen, Cemal Hakan – Online Submission, 2022
The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education"…
Descriptors: Trend Analysis, Educational Trends, Simulated Environment, Physical Education
Cedefop - European Centre for the Development of Vocational Training, 2021
The feedback between vocational education and training (VET) and the labour market can provide important input for the review and renewal of qualifications. A feedback loop that is based on learning outcomes helps provide deeper insights into what is required on the labour market, what is offered in training provisions and assessed at the end of a…
Descriptors: Vocational Education, Outcomes of Education, Education Work Relationship, Qualifications
Bernasco, Wim; Hoeben, Evelien M.; Koelma, Dennis; Liebst, Lasse Suonperä; Thomas, Josephine; Appelman, Joska; Snoek, Cees G. M.; Lindegaard, Marie Rosenkrantz – Sociological Methods & Research, 2023
Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the…
Descriptors: Video Technology, Social Science Research, Artificial Intelligence, Sociology
Dam, M.; Janssen, F. J. J. M.; van Driel, J. H. – Professional Development in Education, 2020
In recent years, the use of student data has become increasingly concerned with management of teacher performance. However, when teachers become aware of specific student data directly related to their approach of teaching, it could inform them about possible strengths, weaknesses or challenges. Unfortunately, teachers generally have little time…
Descriptors: Faculty Development, Data Collection, Data Analysis, Teaching Styles
Mittelmeier, Jenna; Edwards, Rebecca L.; Davis, Sarah K.; Nguyen, Quan; Murphy, Victoria L.; Brummer, Leonie; Rienties, Bart – Frontline Learning Research, 2018
Learning analytics has been increasingly outlined as a powerful tool for measuring, analysing, and predicting learning experiences and behaviours. The rising use of learning analytics means that many educational researchers now require new ranges of technical analytical skills to contribute to an increasingly data-heavy field. However, it has been…
Descriptors: Educational Researchers, Educational Research, Data Collection, Data Analysis
Rebecka Rundquist; Kristina Holmberg; John Rack; Zeynab Mohseni; Italo Masiello – Journal of Learning Analytics, 2024
The generation, use, and analysis of educational data comes with many promises and opportunities, especially where digital materials allow usage of learning analytics (LA) as a tool in data-based decision-making (DBDM). However, there are questions about the interplay between teachers, students, context, and technology. Therefore, this paper…
Descriptors: Learning Analytics, Elementary Secondary Education, Mathematics Education, Data Analysis
Fabo, Brian; Kahanec, Martin – International Journal of Social Research Methodology, 2018
In this paper, we compare the estimates of earnings determinants based on the non-probabilistic WageIndicator web survey with those based on the widely used, representative EU Study of Income and Living Conditions survey. Using 10 years of Dutch data, we show that there exists an established segment of predominantly junior workers from which the…
Descriptors: Foreign Countries, Online Surveys, Wages, Income
Mansolf, Maxwell; Vreeker, Annabel; Reise, Steven P.; Freimer, Nelson B.; Glahn, David C.; Gur, Raquel E.; Moore, Tyler M.; Pato, Carlos N.; Pato, Michele T.; Palotie, Aarno; Holm, Minna; Suvisaari, Jaana; Partonen, Timo; Kieseppä, Tuula; Paunio, Tiina; Boks, Marco; Kahn, René; Ophoff, Roel A.; Bearden, Carrie E.; Loohuis, Loes Olde; Teshiba, Terri; deGeorge, Daniella; Bilder, Robert M. – Educational and Psychological Measurement, 2020
Large-scale studies spanning diverse project sites, populations, languages, and measurements are increasingly important to relate psychological to biological variables. National and international consortia already are collecting and executing mega-analyses on aggregated data from individuals, with different measures on each person. In this…
Descriptors: Item Response Theory, Data Analysis, Measurement, Validity
Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models
Hubers, Mireille D.; Moolenaar, Nienke M.; Schildkamp, Kim; Daly, Alan J.; Handelzalts, Adam; Pieters, Jules M. – Research Papers in Education, 2018
The data team intervention was designed to support Dutch secondary schools in using data while developing a solution to an educational problem. A data team can build school-wide capacity for data use through knowledge sharing among data team members, and knowledge brokerage between the team and other colleagues. The goal of this mixed-methods…
Descriptors: Foreign Countries, Secondary Schools, Communities of Practice, Data Analysis
Crosier, David; Birch, Peter; Davydovskaia, Olga; Kocanova, Daniela; Parveva, Teodora – Education, Audiovisual and Culture Executive Agency, European Commission, 2017
This report aims to provide insight into the realities faced by higher education academic staff at a time of fast-moving change and increasing societal demand. Fluctuating student numbers, new funding and steering mechanisms are among the features of today's European higher education landscape, but not enough is known about how academic staff are…
Descriptors: Foreign Countries, Educational Development, Educational Change, Higher Education
Cecilia Mezzanotte; Claire Calvel – OECD Publishing, 2023
Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…
Descriptors: Educational Indicators, Inclusion, Educational Policy, Equal Education
Gulikers, Judith – AERA Online Paper Repository, 2016
This paper studies, using quantitative and qualitative data, the effectivity of a professional development approach in which a national summative assessment is used formatively to stimulate 19 teacher teams in Dutch secondary education to improve their data use for instruction and learning. The approach is based on conceptual similarities between…
Descriptors: Evidence Based Practice, Decision Making, Faculty Development, Summative Evaluation
