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Faubert, Brenton Cyriel; Le, Anh Thi Hoai; Wakim, Georges; Swapp, Donna – International Journal of Education Policy and Leadership, 2019
This article reports on a rigorous approach developed for calibrating the Evidence-Based Adequacy Model to suit the Ontario K-12 public education context, and the actual calibrations made. The four-step calibration methodology draws from expert consultations and a review of the academic literature. Specific attention is given to the technical…
Descriptors: Elementary Secondary Education, Public Education, Models, Foreign Countries
Walter, Maggie; Suina, Michele – International Journal of Social Research Methodology, 2019
The field of Indigenous methodologies has grown strongly since Tuhiwai Smith's 1999 groundbreaking book "Decolonizing Indigenous Methodologies." For the most part however, there has been a marked absence of quantitative methodologies with the methods aligned with Indigenous methodologies predominantly qualitative. This article proposes…
Descriptors: Indigenous Knowledge, Data Analysis, Qualitative Research, Books
Takayama, Keita; Lingard, Bob – Journal of Education Policy, 2019
Juxtaposed with the emerging body of literature about datafication in schooling, this paper examines the increasing encroachment of data into the Japanese education system, in particular, the use of data associated with standardised academic assessments for governance purposes. In so doing, we use the Japanese 'case' to expose the possible limits…
Descriptors: Criticism, Data Analysis, Standardized Tests, Educational Policy
Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Brower, Rebecca L.; Bertrand Jones, Tamara; Osborne-Lampkin, La'Tara; Hu, Shouping; Park-Gaghan, Toby J. – Grantee Submission, 2019
Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…
Descriptors: Qualitative Research, Data, Change, Barriers
Arnold, Nathan; Voight, Mamie; Morales, Jessica; Dancy. Kim; Coleman, Art – Institute for Higher Education Policy, 2019
As the higher education landscape has expanded beyond issues of access and affordability to include an emphasis on student completion and employment outcomes, accreditors can play a leadership role in advancing this important change. A shift to student success that rightfully centers in part on closing equity gaps between low-income students and…
Descriptors: Educational Improvement, Accreditation (Institutions), Data Use, Academic Achievement
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
dela Cruz, Thomas Edison E.; Olayta, Carlo Oliver M. – American Biology Teacher, 2022
Citizen science is a research collaboration between scientists and volunteers who provide data for education, conservation, and environmental protection. Volunteers, often the locals in the area, provide data on species occurrence while researchers perform distribution mapping or other data analysis. Social networking sites including Facebook,…
Descriptors: Citizen Participation, Scientific Research, Science Projects, Taxonomy
Miranda, Constanza; Goñi, Julian; Pickenpack, Astrid; Sotomayor, Trinidad – International Journal of Technology and Design Education, 2022
K-12 Engineering Education has placed a lot of attention on students' attitudes or predispositions towards science and technology. However, most assessment methods are focused on STEM as a whole or only on technology. In this article, we will discuss the instrument called Technology and Engineering Attitude Scale (TEAS) which focuses on attitudes…
Descriptors: Elementary Secondary Education, Engineering Education, Test Validity, Foreign Countries
Mahoney, Jamie; Le Louvier, Kahina; Lawson, Shaun; Bertel, Diotima; Ambrosetti, Elena – Research Ethics, 2022
The ubiquitous use of social platforms across the globe makes them attractive options for investigating social phenomena including migration. However, the use of social media data raises several crucial ethical issues around the areas of informed consent, anonymity and profiling of individuals, which are particularly sensitive when looking at a…
Descriptors: Social Media, Ethics, Informed Consent, Research Methodology
Kasepalu, Reet; Chejara, Pankaj; Prieto, Luis P.; Ley, Tobias – Technology, Knowledge and Learning, 2022
Monitoring and guiding multiple groups of students in face-to-face collaborative work is a demanding task which could possibly be alleviated with the use of a technological assistant in the form of learning analytics. However, it is still unclear whether teachers would indeed trust, understand, and use such analytics in their classroom practice…
Descriptors: Teacher Attitudes, Secondary School Teachers, Technology Uses in Education, Online Systems
Yurkofsky, Maxwell – Educational Administration Quarterly, 2022
Purpose: A recurring frustration in educational research is the tendency for school leaders to implement reforms in ways that prioritize compliance over more substantive improvements to practice. Drawing on new institutional theory and sensemaking theory, this article explores the different ways leaders respond to continuous improvement (CI)…
Descriptors: Leadership, Educational Change, Educational Improvement, Educational Needs
Hamilton, Valerie; Onder, Yasemin; Andzik, Natalie R.; Reeves, Todd D. – Journal of Psychoeducational Assessment, 2022
Teacher data-driven decision making (DDDM) is a professional practice of great prominence in the current K-12 education system. Moreover, teacher self-efficacy and anxiety around DDDM represent important measurement targets in both research and practice. This study consequently examined the validity, reliability, and invariance of data collected…
Descriptors: Data Use, Decision Making, Anxiety, Self Efficacy
Pálfi, Bence; Arora, Kavleen; Kostopoulou, Olga – Cognitive Research: Principles and Implications, 2022
Evidence-based algorithms can improve both lay and professional judgements and decisions, yet they remain underutilised. Research on advice taking established that humans tend to discount advice--especially when it contradicts their own judgement ("egocentric advice discounting")--but this can be mitigated by knowledge about the…
Descriptors: Physicians, Evidence Based Practice, Decision Making, Self Concept
Park, EunSol – Asia Pacific Education Review, 2022
Text mining techniques have become popular in many disciplines in the era of big data. Author profiling analysis, a method of text mining, is useful for identifying the intellectual structures of research fields and the latest research topics that did not appear from author co-citation analysis. This study analyzed the changing intellectual…
Descriptors: Foreign Countries, Labor Force Development, Human Resources, Information Retrieval