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Ye, Chen; Zhao, Lin – Journal of Information Systems Education, 2023
Businesses assess public sentiment toward relevant topics and gain valuable insights through social media analytics (SMA). Students of business information analytics can therefore reap multiple benefits from SMA as a learning tool. We designed and implemented an SMA capstone project that integrated undergraduate research and community engagement.…
Descriptors: Social Media, Capstone Experiences, Educational Research, Student Projects
Philip I. Pavlik; Luke G. Eglington – Grantee Submission, 2023
This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…
Descriptors: Students, Models, Regression (Statistics), Alternative Assessment
Philip I. Pavlik; Luke G. Eglington – International Educational Data Mining Society, 2023
This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…
Descriptors: Students, Models, Regression (Statistics), Alternative Assessment
John Zhou; Alena Moon – Journal of Chemical Education, 2023
There has been extensive work within chemistry education research to characterize organic chemistry students' engagement in key science practices like "constructing explanations" and "engaging in argument from evidence". Less has been done to consider how organic chemistry students interact with empirical data, outside of…
Descriptors: College Students, Student Attitudes, Organic Chemistry, Scaffolding (Teaching Technique)
Quality Indicators of Secondary Data Analyses in Special Education Research: A Preregistration Guide
Allison R. Lombardi; Graham G. Rifenbark; Ashley Taconet – Exceptional Children, 2023
Secondary data analyses occur when new analyses are proposed for existing data. Although they are prevalent in special education research, there is little guidance on how to prepare secondary data analyses studies. Preregistration of secondary data analyses studies provides a nice opportunity and structure for fellow researchers to share…
Descriptors: Data Analysis, Special Education, Educational Research, Longitudinal Studies
Karen Ann Kling; Jennifer Wixson; Laura Tuthill; William D. Lopez – Poverty Solutions, University of Michigan, 2023
Emmet County faces a dearth of affordable, quality child care options, with available child care having steadily declined over the past five years. In Michigan, there are about four children under age 12 for every available child care spot. The areas with the least child care availability are often rural and concentrated in northern Michigan, like…
Descriptors: Child Care, Rural Areas, Data Collection, Needs Assessment
Valenza, Marco; Dreesen, Thomas; Kan, Sophia – UNICEF Office of Research - Innocenti, 2022
One tool that many families own, across the globe, is a basic mobile phone. The use of low-cost basic mobile phones for educational purposes in humanitarian settings is critical where access to connectivity and higher cost devices is limited. The portability of mobile phones, combined with their communication features, offers multiple uses to…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
King, Carlise; Perkins, Victoria – Early Childhood Data Collaborative, 2020
Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…
Descriptors: Educational Finance, Financial Support, Home Visits, Early Childhood Education
Hakimi, Laura; Eynon, Rebecca; Murphy, Victoria A. – Review of Educational Research, 2021
This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…
Descriptors: Ethics, Data Use, Data Collection, Learning Analytics
Kubsch, Marcus; Stamer, Insa; Steiner, Mara; Neumann, Knut; Parchmann, Ilka – Practical Assessment, Research & Evaluation, 2021
In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…
Descriptors: Data Analysis, Bayesian Statistics, Educational Research, Science Education
Kurtzke, Simone; Setkute, Justina – Journal of Marketing Education, 2021
As marketing continues to be transformed by technology and the explosion of big data, academic research has identified a significant need for analytics skills in marketing education. However, it is unclear whether current curriculum approaches to marketing analytics equip students with the skills employers need and prepare them effectively for…
Descriptors: Data Analysis, Data Use, Decision Making, Marketing
Kishida, Yuriko; Carter, Mark; Kemp, Coral – Australasian Journal of Special and Inclusive Education, 2021
Although the use of data is important for informing inclusive practice, research into Australian early childhood educators' data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written…
Descriptors: Data Use, Data Collection, Early Childhood Teachers, Early Childhood Education
Shah, Niral; Ortiz, Nickolaus; Christensen, Julie; Stroupe, David; Reinholz, Daniel – Educational Leadership, 2021
A crucial site of bias in classrooms is class discussions. A new free web-based tool developed by university researchers can help teachers actively monitor how their biases are affecting students in real-time.
Descriptors: Equal Education, Student Participation, Inclusion, Racial Bias
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Data Collection
Bloom-Weltman, Julia; Honey, Rose; Meholick, Sarah; Fettro, Marshal – National Center for Education Statistics, 2021
The statewide longitudinal data system (SLDS) Survey was first administered in the summer of 2017. This annual survey was created to help inventory the current data capacity of states' and territories' SLDSs. It not only focuses on whether a given data type or use is in place, but also explores the development of these data systems and their…
Descriptors: Data, Information Systems, Longitudinal Studies, State Programs

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