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Lopez, Jameson D. – Journal of Diversity in Higher Education, 2021
The purpose of this study is to use Indigenous data collection to present construct validity of an instrument designed to test the American Indian/Alaska Native Millennium Falcon Postsecondary Persistence Model (Lopez, 2018). In the following, I describe an alternative sampling technique based on an Indigenous quantitative methodology to examine…
Descriptors: Construct Validity, Measures (Individuals), American Indian Students, Alaska Natives
Rioux, Charlie; Stickley, Zachary L.; Little, Todd D. – International Journal of Behavioral Development, 2021
Following the onset of the novel coronavirus disease 2019 (COVID-19) pandemic, daily life significantly changed for the population. Accordingly, researchers interested in examining patterns of change over time may now face discontinuities around the pandemic. Researchers collecting in-person longitudinal data also had to cancel or delay data…
Descriptors: Longitudinal Studies, COVID-19, Pandemics, Simulation
Temkin, Deborah; Thompson, Joy A.; Gabriel, Alex; Fulks, Emily; Sun, Sarah; Rodriguez, Yosmary – Phi Delta Kappan, 2021
As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That's not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study…
Descriptors: Educational Environment, Data Collection, Evaluation Methods, Elementary Secondary Education
Kara, Nuri – Contemporary Educational Technology, 2021
The aim of this study was to conduct a systematic literature review on the use of serious games in science education between 2016 and 2020 years. A total of 39 articles were included from Science Citation Index-Expanded (SCI-Expanded), Social Science Citation Index (SSCI), Arts & Humanities Citation Index (A&HCI) and Emerging Sources…
Descriptors: Science Education, Educational Games, Teaching Methods, Science Achievement
Enid Zambrana, Ruth; Amaro, Gabriel; Butler, Courtney; DuPont-Reyes, Melissa; Parra-Medina, Deborah – Health Education & Behavior, 2021
Introduction: Prior to 1980, U.S. national demographic and health data collection did not identify individuals of Hispanic/Latina/o heritage as a population group. Post-1990, robust immigration from Latin America (e.g., South America, Central America, Mexico) and subsequent growth in U.S. births, dynamically reconstructed the ethnoracial lines…
Descriptors: Data Analysis, Data Collection, Demography, Hispanic Americans
Governor, Donna; Carter, Amanda – Science and Children, 2021
This article provides an overview of the instructional activity implemented to introduce the authors' first-grade students to the concept of measuring, collecting, and recording temperature data as part of a unit on weather. The activities introduced involved approximately one week of instructional time. However, the application of the skill…
Descriptors: Grade 1, Elementary School Science, Elementary School Students, Weather
Militello, Matthew; Tredway, Lynda; Hodgkins, Lawrence; Simon, Ken – Journal of Educational Administration, 2021
Purpose: The purpose of this study was to explore the utility of a virtual reality (VR) classroom experience for improving the capacity of instructional leaders. Specifically, school leaders used VR to build their classroom observation and analysis skills to prepare to have more effective post-observation conversations with teachers. The authors…
Descriptors: Computer Simulation, Principals, Professional Development, Instructional Leadership
Floress, Margaret T.; Zoder-Martell, Kimberly A.; Beaudoin, Melissa M.; Yehling, Zachary R. – Preventing School Failure, 2021
Few studies have examined teachers' natural use of praise and reprimand in the absence of training, possibly due to the challenges of live data collection. This study sought to determine the feasibility of using technology to examine teachers' use of praise and reprimand during class-wide and small group instruction in four elementary classrooms.…
Descriptors: Positive Reinforcement, Negative Reinforcement, Small Group Instruction, Large Group Instruction
Do They See What I See? Toward a Better Understanding of the 7Cs Framework of Teaching Effectiveness
Phillips, Sarah F.; Ferguson, Ronald F.; Rowley, Jacob F. S. – Educational Assessment, 2021
School systems are increasingly incorporating student perceptions of teaching effectiveness into educator accountability systems. Using Tripod's 7Cs™ Framework of Teaching Effectiveness, this study examines key issues in validating student perception data for use in this manner. Analyses examine the internal structure of 7Cs scores and the extent…
Descriptors: Teacher Effectiveness, Evaluation Methods, Scores, Teacher Evaluation
Karakose, Turgut; Demirkol, Murat – Educational Process: International Journal, 2021
Background/purpose: The current study aims to analyze the thematic structures and trends of scientific publications that examine the relationship between the COVID-19 pandemic and education, while presenting a roadmap for future research on this topic. Materials/methods: The data were obtained from the Web of Science Core Collection (WoSCC)…
Descriptors: Educational Research, Educational Trends, COVID-19, Pandemics
Zehner, Fabian; Eichmann, Beate; Deribo, Tobias; Harrison, Scott; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – Journal of Educational Data Mining, 2021
The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…
Descriptors: National Competency Tests, Engineering Education, Data Collection, Data Analysis
Levin, Nathan A. – Journal of Educational Data Mining, 2021
The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
Jin, Sung-Hee – IEEE Transactions on Learning Technologies, 2021
Participation dashboards in online discussions are learning support tools that can have a positive effect on learners' learning outcomes and satisfaction levels, but their effectiveness differs according to how learners recognize and interpret them. However, there is a lack of research investigating the effectiveness of visualization methods…
Descriptors: Asynchronous Communication, Discussion, Computer Mediated Communication, Peer Relationship
Calabrese Barton, Angela; Greenberg, Day; Turner, Chandler; Riter, Devon; Perez, Melissa; Tasker, Tammy; Jones, Denise; Herrenkohl, Leslie Rupert; Davis, Elizabeth A. – AERA Open, 2021
This study investigates how youth from two cities in the United States engage in critical data practices as they learn about and take action in their lives and communities in relation to COVID-19 and its intersections with justice-related concerns. Guided by theories of critical data literacies and data justice, a historicized and future-oriented…
Descriptors: Justice, Youth Programs, Data Collection, Participatory Research
Ulatowski, Joseph; Walker, Ruth – Educational Philosophy and Theory, 2021
A cardinal rule of academic research with human participants is to protect their confidentiality. While there are limits to confidentiality, universities and researchers will make strenuous efforts to protect the identity of participants. This is especially important where they are at risk of serious harm if confidentiality is breached. Yet, some…
Descriptors: Moral Issues, Failure, Universities, Researchers