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Soyoung Park; Pamela M. Stecker; Sarah R. Powell – Intervention in School and Clinic, 2024
This article provides teachers with a toolkit for assessing students in the context of data-based individualization (DBI) in mathematics. Assessing students is a critical component of DBI because it provides teachers with information about what they may need to modify in their instructional programs. In this article, we provide teachers with…
Descriptors: Student Evaluation, Individualized Instruction, Mathematics Instruction, Progress Monitoring
Allyson Skene; Laura Winer; Erika Kustra – International Journal for Academic Development, 2024
This article explores potential uses, misuses, beneficiaries, and tensions of learning analytics in higher education. While those promoting and using learning analytics generally agree that ethical practice is imperative, and student privacy and rights are important, navigating the complex maze of ethical dilemmas can be challenging, particularly…
Descriptors: Learning Analytics, Higher Education, Ethics, Privacy
Nicole T. Baumer; Margaret A. Hojlo; Angela M. Lombardo; Anna L. Milliken; Katherine G. Pawlowski; Sabrina Sargado; Cara Soccorso; Emily J. Davidson; William J. Barbaresi – Journal of Intellectual Disabilities, 2024
Down syndrome (DS) is a complex condition associated with multiple medical, developmental, and behavioral concerns. A prospective, longitudinal clinical database was integrated into a specialty Down Syndrome Program, with the goals of better understanding the incidence, course, and impact of co-occurring medical, neurodevelopmental, and mental…
Descriptors: Down Syndrome, Patients, Program Improvement, Databases
Anthony S. DiStefano; Joshua S. Yang – Field Methods, 2024
Despite recent methodological advances in saturation, guidelines for its estimation in more complex research designs--such as ethnographic studies--have been lacking. We present an accessible, step-by-step approach to empirical assessment of data saturation, tested on a moderately sized ethnographic study with 109 combined direct observations and…
Descriptors: Sample Size, Ethnography, Research Methodology, Research Design
Cheryl Burleigh; Andrea M. Wilson – Journal of Educational Technology Systems, 2024
With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…
Descriptors: Artificial Intelligence, Data Collection, Doctoral Dissertations, Research Methodology
K. C. Culver; Adrianna Kezar; Emily R. Koren; John W. Curtis – Pullias Center for Higher Education, 2024
The purpose of the Faculty, Academic Careers and Environments (FACE) project is to understand who faculty are, what their academic careers look like, and how the environments in which they work shape their ability to thrive as instructors, researchers and public scholars in the community. This report provides an overview of a new conceptual model…
Descriptors: Higher Education, Pilot Projects, Diversity (Faculty), Educational Environment
John W. Curtis; Emily R. Koren; Adrianna Kezar; K. C. Culver; Caren Arbeit; Nicole McDermott Tate – Pullias Center for Higher Education, 2024
This report describes the two-year pilot study of how best to create a national study of faculty working at non-profit colleges and universities of all types across the country, given the social media and survey research environment of the 2020s. Since 2004, two major developments have significantly changed the landscape for academic employment:…
Descriptors: Higher Education, Pilot Projects, Diversity (Faculty), Educational Environment
Designing a Multinational Smartphone App Survey during COVID-19: Rewards, Risks, and Recommendations
Jennifer C. Davidson; Dimitar Karadzhov; Graham Wilson – Field Methods, 2024
Cost-effective and user-friendly, mobile phone-assisted methods have remained underutilized in qualitative social science research. The scarce methodological guidance, together with recruitment and ethical challenges, has arguably stifled advancements in this area. COVID-19 exposed the need to better equip researchers with the expertise and tools…
Descriptors: Test Construction, Handheld Devices, Computer Oriented Programs, Surveys
Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
Cristobal Salinas Jr.; Diana Cervantes – Journal of Cases in Educational Leadership, 2024
The term Latinx has received increasing levels of pushback from different entities outside and within higher education. Despite the term's wide popularity in academic spaces, higher education practitioners often utilize it without understanding whom it simultaneously includes and excludes, and whom the term refers to. Such practice perpetuates the…
Descriptors: Hispanic Americans, Definitions, Language Usage, Higher Education
Mouna Denden; Ahmed Tlili; Nian-Shing Chen; Mourad Abed; Mohamed Jemni; Fathi Essalmi – Interactive Learning Environments, 2024
Gamification has gained an increasing attention from researchers and practitioners in various domains including education as it can increase learners' engagement and motivation. However, little is known about how educational gamification experiences can be influenced by learners' characteristics. Therefore, this study provides a systematic…
Descriptors: Gamification, Educational Games, Educational Research, Data Collection
Annina Heini; Krzysztof Kredens – International Journal of Social Research Methodology, 2024
This article reports on our experience of collecting language data from informants in video-conferencing settings under a research design originally developed with face-to-face interactions in mind. We had set out to investigate whether individual stylistic features persist in different modes of textual production and designed a complex set of…
Descriptors: Data Collection, Sociolinguistics, Distance Education, COVID-19
Briony Carlin; Tina Sikka; Peter Hopkins; Laura Braunholtz; Louise Mair; Zarah Pattison – Studies in Higher Education, 2024
Fieldwork is an important component of data collection in environmental sciences and other related disciplines. Sensitive to the ways in which field based environmental sciences (FBES) research is often unsafe and lacks inclusivity, we explore findings from a mixed methods study that identified barriers to inclusion and overlooked risks to safety…
Descriptors: Inclusion, Barriers, Environment, Scientific Research
Hongwen Guo; Matthew S. Johnson; Daniel F. McCaffrey; Lixong Gu – ETS Research Report Series, 2024
The multistage testing (MST) design has been gaining attention and popularity in educational assessments. For testing programs that have small test-taker samples, it is challenging to calibrate new items to replenish the item pool. In the current research, we used the item pools from an operational MST program to illustrate how research studies…
Descriptors: Test Items, Test Construction, Sample Size, Scaling
Matovic, Nataša; Ovesni, Kristinka – International Journal of Social Research Methodology, 2023
The interaction of quantitative and qualitative methodology in the mixed methods research (MMR) is analysed in a context of distinctions of the meanings between the terms typically used for description, combination, and integration. The interaction in the phases that precede the results, and their interpretation is considered. As an indicator of…
Descriptors: Interaction, Statistical Analysis, Qualitative Research, Mixed Methods Research