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Peer reviewed
Direct linkMelody W. Young; Noah D. Chernik; Stratos J. Kantounis; Matthew J. Cannata; James Q. Virga; Reuben N. Jacobson; Jon A. Gustafson; Aleksandra S. Ratkiewicz; Enkhjin Batbayar; Badamkhand Monhochir; Binderiya Munkhbat; Minjin Bolortsetseg; Carol Weintraub; Stan Silverman; Gabby Guilhon; Edwin Dickinson; Michael C. Granatosky – Anatomical Sciences Education, 2025
Access to high-quality outreach programs is crucial for preparing students for STEM careers, yet traditional classrooms often lack diverse, hands-on learning opportunities, particularly in anatomy and evolutionary biology. We present "Are You Stronger Than a Lemur?"--an interactive STEM activity that introduces K-12 students to…
Descriptors: STEM Education, Outreach Programs, Anatomy, Biomechanics
Download full textKristen Faucetta; Mallory Undestad – MDRC, 2025
A robust body of evidence over the past half a century documents the importance of early childhood experiences for adult outcomes. It shows that support services and programs for families and young children--including home maternal care during the prenatal period, early intervention during infancy and the toddler years, and high-quality care and…
Descriptors: School Readiness, Early Intervention, Program Implementation, Family Programs
Snyder, Johnny – Information Systems Education Journal, 2019
Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students…
Descriptors: Data Analysis, Error Patterns, Data Collection, Spreadsheets
Hawkins, Christie; Bailey, Lucy E. – New Directions for Institutional Research, 2020
The increasing volume of information and the intense pace of its circulation are changing the ways universities access, use, analyze, and provide data. Many have championed the use of large-scale databases to track student admissions and retention, faculty productivity, student wellness, and other phenomena that shape our understandings of higher…
Descriptors: Institutional Research, Data Analysis, Data Use, Colleges
Travis, Tiffini A.; Ramirez, Christian – portal: Libraries and the Academy, 2020
Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…
Descriptors: Academic Libraries, Data Collection, Learning Analytics, Ethics
Stelmach, Rachel D.; Fitch, Elizabeth; Chen, Molly; Meekins, Meagan; Flueckiger, Rebecca M.; Colaço, Rajeev – American Journal of Evaluation, 2022
Monitoring, evaluation, and research activities generate important data, but they often fail to change policies or programs. In addition, local program staff and partners often feel disconnected from these activities, which undermines their ownership of data and results. To bridge the gaps between monitoring, evaluation, and research and to give…
Descriptors: Evidence Based Practice, Evaluation, Research, Global Approach
Luis Portales Derbez – Palgrave Macmillan, 2026
This book is a timely and transformative contribution to the fields of educational evaluation, policy, and innovation. It offers a unique integration of classical impact assessment theory with cutting-edge developments in Artificial Intelligence and data analytics, making the book both academically rigorous and practically indispensable. By…
Descriptors: Educational Assessment, Definitions, Artificial Intelligence, Technology Uses in Education
Silva, Meghan R.; Collier-Meek, Melissa A.; Codding, Robin S.; Kleinert, Whitney L.; Feinberg, Adam – Contemporary School Psychology, 2021
Response-to-intervention (RtI) is a multi-tiered framework designed to prevent academic difficulties by facilitating robust, research-based instruction and providing targeted or individualized short-term interventions for students at-risk per periodic screening and progress monitoring data. The cornerstone of RtI is data-based decision-making to…
Descriptors: Data Collection, Data Analysis, Response to Intervention, Decision Making
Oluwafemi, Adeagbo; Xulu, S.; Dlamini, N.; Luthuli, M.; Mhlongo, T.; Herbst, C.; Shahmanesh, M.; Seeley, J. – Field Methods, 2021
Transforming spoken words into written text in qualitative research is a vital step in familiarizing and immersing oneself in the data. We share a three-step approach of how data transcription facilitated an interpretative act of analysis in a study using qualitative data collection methods on the barriers and facilitators of HIV testing and…
Descriptors: Transcripts (Written Records), Data Analysis, Qualitative Research, Data Interpretation
Liu, Min; Pan, Zilong; Li, Chenglu; Han, Songhee; Shi, Yi; Pan, Xin – International Journal on E-Learning, 2021
There has been an increasing interest in learning analytics (LA) research especially in higher education (HE) in recent years. In this study, we conducted a systematic focused review of research, from 2016 to present, on using analytics in HE (specifically system- or user-generated data) to understand in what way such analytics has been…
Descriptors: Learning Analytics, Educational Research, Higher Education, Data Collection
Courtney, Matthew B. – International Journal of Education Policy and Leadership, 2021
Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that allows practitioners to examine data without pre-conceived notions to advise improvement processes and make informed decisions. Education is a data-rich field that is primed for a transition into a deeper, more purposeful use of data. This article introduces…
Descriptors: Data Analysis, Data Use, Decision Making, Educational Improvement
Odegard, Nina – Contemporary Issues in Early Childhood, 2021
This article draws on a new materialist paradigm to explore bricolaging data from an early childhood research project through an immanent ethical lens. This lens enables the researcher to stretch towards non-hierarchical relationships in between subjects and objects, thinking and doing. A bricoleur explores and builds different…
Descriptors: Data Collection, Early Childhood Education, Ethics, Educational Research
Nkomo, Larian M.; Nat, Muesser – TechTrends: Linking Research and Practice to Improve Learning, 2021
With various digital technologies increasingly integrated into higher education, understanding how students engage with such technologies has become vital. There are different ways to measure student engagement; however, self-reported measures such as questionnaires are predominantly used to understand student engagement. In contrast, this study…
Descriptors: Learner Engagement, Blended Learning, Educational Environment, Data Collection
Kim, Albert Y.; Hardin, Johanna – Journal of Statistics and Data Science Education, 2021
We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to "play the whole game" of data science: performing both data collection and data analysis. While many teaching resources exist for data analysis, such resources are not as abundant for data…
Descriptors: Data Collection, Data Analysis, Statistics Education, Undergraduate Students
Marpaung, Jonathan – ProQuest LLC, 2021
The shortage of qualified administrators who can utilize data analytics means that institutions are not able to harness data analytics to its fullest potential in order to remain competitive in a higher education market that continued to reward institutions that embrace entrepreneurship. Examining how new student affairs professionals in US higher…
Descriptors: Student Personnel Workers, Entry Workers, Readiness, Data Use
