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Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
Emerging practices in both K-12 and higher education hold great promise in the establishment of equity frameworks. The use of finely disaggregated data, the effort to track additional student groups, and related work, all help to establish policies and tools to monitor the impact of reform efforts to address inequities. State programs and…
Descriptors: Equal Education, State Programs, African American Students, Hispanic American Students
Ayad Saknee – ProQuest LLC, 2024
Higher education institutes experience lower success rates in online learning environments compared to traditional learning. Students' engagement within the learning management system (LMS) is one of the main factors affecting students' academic performance and retention. This quantitative correlational-predictive study examined if, and to what…
Descriptors: Learning Management Systems, Academic Achievement, Predictive Validity, Learner Engagement
Viswanathan, Sree Aurovindh; VanLehn, Kurt – IEEE Transactions on Learning Technologies, 2018
Effective collaboration between student peers is not spontaneous. A system that can measure collaboration in real-time may be useful, as it could alert an instructor to pairs that need help in collaborating effectively. We tested whether superficial measures of speech and user interface actions would suffice for measuring collaboration. Pairs of…
Descriptors: Cooperative Learning, Data Collection, Data Analysis, Speech Communication
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Many states struggle with collecting reliable and valid state-level data that can be leveraged to maximize the use of funds. This is particularly challenging when providing early intervention services in states where Medicaid uses clinic rates that are lower than the natural environment rates covered by state or federal Part C funds. This state…
Descriptors: Data Use, Data Analysis, Educational Finance, Early Intervention
Shores, Kenneth; Candelaria, Christopher – Educational Researcher, 2020
Use of education finance data is ubiquitous. Yet, because the academic calendar circumscribes two calendar years, researchers have linked the Consumer Price Index (CPI) to three different dates: fall, spring, and academic fiscal years. We demonstrate that linking the CPI to these different academic years results in identifying different trends in…
Descriptors: Educational Finance, Economic Climate, Cost Indexes, Data Analysis
Geiger, Tray; Pivovarova, Margarita – Teachers and Teaching: Theory and Practice, 2018
Teacher attrition is one of the driving contributors to the shortage of effective teachers internationally and in the United States. The common factors that spur teachers worldwide to leave the profession include low salaries, quality of teacher preparation programs, overwhelming workload, and poor working conditions. In this study, we analyzed…
Descriptors: Teaching Conditions, Teacher Persistence, Faculty Mobility, Mixed Methods Research
Pardos, Zachary A.; Horodyskyj, Lev – Journal of Learning Analytics, 2019
We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…
Descriptors: Visualization, Online Courses, Course Descriptions, Data Analysis
Aasheim, Cheryl L.; Williams, Susan; Rutner, Paige; Gardiner, Adrian – Journal of Information Systems Education, 2015
The rate at which data is produced and accumulated today is greater than at any point in history with little prospect of slowing. As organizations attempt to collect and analyze this data, there is a tremendous unmet demand for appropriately skilled knowledge workers. In response, universities are developing degree programs in data science and…
Descriptors: Undergraduate Study, Course Descriptions, College Programs, Data Analysis
Blazer, Christie – Research Services, Miami-Dade County Public Schools, 2018
Researchers have found that middle school students undergo developmental changes that require unique educational structures and support. As a result, experts have suggested a number of specific strategies for organizing middle schools in order to best meet students' needs. This Information Capsule summarizes middle school redesign initiatives that…
Descriptors: Middle Schools, Middle School Students, Educational Environment, Educational Change
Wolf, Mary Ann; Jones, Rachel; Hall, Sara; Wise, Bob – Alliance for Excellent Education, 2014
The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…
Descriptors: Educational Research, Data Collection, Data Analysis, Capacity Building
Azarnoush, Bahareh; Bekki, Jennifer M.; Runger, George C.; Bernstein, Bianca L.; Atkinson, Robert K. – Journal of Educational Data Mining, 2013
Effectively grouping learners in an online environment is a highly useful task. However, datasets used in this task often have large numbers of attributes of disparate types and different scales, which traditional clustering approaches cannot handle effectively. Here, a unique dissimilarity measure based on the random forest, which handles the…
Descriptors: Online Courses, Females, Doctoral Programs, Graduate Students
Vagi, Robert L.; Collins, Clarin; Clark, Terri – Education Policy Analysis Archives, 2017
Given the critical role that literacy plays in children's academic and personal development, policymakers have increasingly focused on policies related to early childhood literacy, particularly among poor and minority students. In this study, authors use a census of data from Arizona, a state with a large and growing population of traditionally…
Descriptors: Early Childhood Education, Emergent Literacy, Educational Policy, State Policy
Lamm, Alexa J.; Israel, Glenn D.; Diehl, David – Journal of Extension, 2013
In order to enhance Extension evaluation efforts it is important to understand current practices. The study reported here researched the evaluation behaviors of county-based Extension professionals. Extension professionals from eight states (n = 1,173) responded to a survey regarding their evaluation data collection, analysis, and reporting…
Descriptors: Extension Education, Extension Agents, Experimenter Characteristics, Program Evaluation