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Sauder, Adrienne E.; Gilson, Cindy M. – Gifted Child Quarterly, 2023
There is a growing body of literature around digital research, specifically regarding data collection and how to pivot research designs to be more conducive to online and virtual research, but little in the way of how to analyze data remotely. In this article, we share firsthand experiences from a qualitative study utilizing Google apps, Zoom, and…
Descriptors: Academically Gifted, Gifted Education, Qualitative Research, Data Collection
Da Xuan Ng; Wei Jun Marc Chao; Kai Qin Chan – Psychology Learning and Teaching, 2025
Single-subjects design has the advantage of providing detailed, individualized analyses of intervention. However, creating a tutorial for single-subject design (SSD) is challenging, and an effective version for online delivery is currently unavailable. Here, we developed an experiential SSD tutorial designed for online delivery and evaluated its…
Descriptors: Teaching Methods, Tutorial Programs, Tutoring, Undergraduate Students
Addison Duane; Quinn Hafen; Luca Morales; Tiffany M. Jones; Valerie B. Shapiro – Journal of Educational Change, 2025
School climate surveys are frequently used to collect information about student experiences in school. Less is known about how educators use survey data after survey administration. This paper explores one school district's critical use of evidence to promote equitable change. We conducted eight semi-structured interviews with district and school…
Descriptors: Data Use, Student Attitudes, School Surveys, School Culture
Schumacher, Clara; Ifenthaler, Dirk – Journal of Computing in Higher Education, 2018
Depending on their motivational dispositions, students choose different learning strategies and vary in their persistence in reaching learning outcomes. As learning is more and more facilitated through technology, analytics approaches allow learning processes and environments to be analyzed and optimized. However, research on motivation and…
Descriptors: Student Motivation, Learning Strategies, Goal Orientation, Self Concept
Walsh, Cole; Stein, Martin M.; Tapping, Ryan; Smith, Emily M.; Holmes, N. G. – Physical Review Physics Education Research, 2021
Omitted variable bias occurs in most statistical models. Whenever a confounding variable that is correlated with both dependent and independent variables is omitted from a statistical model, estimated effects of included variables are likely to be biased due to omitted variables. This issue is particularly problematic in physics education research…
Descriptors: Physics, Science Education, Educational Research, Statistical Bias
Knight, David B.; Brozina, Cory; Novoselich, Brian – Journal of Learning Analytics, 2016
This paper investigates how first-year engineering undergraduates and their instructors describe the potential for learning analytics approaches to contribute to student success. Results of qualitative data collection in a first-year engineering course indicated that both students and instructors emphasized a preference for learning analytics…
Descriptors: Undergraduate Students, Engineering Education, College Faculty, Attitude Measures
Roberts, Lynne D.; Howell, Joel A.; Seaman, Kristen – Technology, Knowledge and Learning, 2017
With the increased capability of learning analytics in higher education, more institutions are developing or implementing student dashboards. Despite the emergence of dashboards as an easy way to present data to students, students have had limited involvement in the dashboard development process. As part of a larger program of research examining…
Descriptors: Higher Education, Data Collection, Data Analysis, Educational Research
Wass, Rob; Anderson, Vivienne; Rabello, Rafaela; Golding, Clinton; Rangi, Ana; Eteuati, Esmay – Higher Education Research and Development, 2020
Higher education (HE) research often draws on a range of qualitative research approaches. However, some methods developed in other fields are underutilised in HE research, even though they could be of great use for answering particular kinds of research questions, or for involving students more actively in the research process. In this article, we…
Descriptors: Foreign Countries, Photography, Social Action, Research Methodology
Hubbard, Aleata – Grantee Submission, 2017
The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting…
Descriptors: Educational Research, Mathematics Education, Algebra, Intervention
Dia Sekayi; Alexandra Coso Strong – Sage Research Methods Cases, 2017
Our research explores the experiences of participants in a program for graduate students interested in pursuing faculty careers in higher education (Students Pursuing Faculty Careers). The methodologies used to collect data for this case study included individual semistructured interviews, an asynchronous online focus group, a qualitative Levels…
Descriptors: Data Analysis, Graduate Students, Student Attitudes, Career Choice
Collins, Jennifer Shalini; Olesik, Susan V. – Journal of Chemical Education, 2021
There is a severe shortage of Black scientists in the United States. Amid the recent national movement to dismantle systemic racism and racial injustices, many scientists publicly highlighted the prevalence of racist learning environments in STEM, contributing to the underrepresentation of Black students in STEM fields. Acknowledging this…
Descriptors: College Faculty, Science Departments, Department Heads, Administrator Role
Aghababyan, Ani; Martin, Taylor; Janisiewicz, Philip; Close, Kevin – Journal of Learning Analytics, 2016
Learning analytics is an emerging discipline and, as such, benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the second annual Learning Analytics Summer Institute in Cambridge, Massachusetts, on 30 June 2014. Specifically, this paper…
Descriptors: Educational Research, Data Collection, Data Analysis, Workshops
Chen, Chen-Tung; Chang, Kai-Yi – EURASIA Journal of Mathematics, Science & Technology Education, 2017
The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…
Descriptors: Data Collection, Data Analysis, Foreign Countries, Higher Education
Vu, Phu; Adkins, Megan; Henderson, Shelby – Journal of Open, Flexible and Distance Learning, 2019
The purpose of this study was to examine student viewpoints about privacy and personal data collection in online courses in U.S. higher education settings. Results of data analysis revealed that students were aware that their learning behaviours (such as login frequency, pages viewed or clicked, and learning profiles) could be monitored and…
Descriptors: Student Attitudes, Privacy, Data Collection, Online Courses
Vriesema, Christine Calderon; Gehlbach, Hunter – Educational Researcher, 2021
Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Student Surveys

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