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Moore, Sammi; Gray, Ron; Meilander, Jeff – Journal of College Science Teaching, 2022
Historically, undergraduate anatomy and physiology (A&P) has been a challenging course for incorporating conceptual learning techniques due to large class sizes and an emphasis on content and terminology. The project utilized the Predict-Observe-Explain (POE) strategy to create short activities based on real-world scenarios that incorporated…
Descriptors: Scientific Concepts, College Freshmen, Anatomy, Physiology
Švábenský, Valdemar; Vykopal, Jan; Celeda, Pavel; Tkácik, Kristián; Popovic, Daniel – Education and Information Technologies, 2022
Hands-on cybersecurity training allows students and professionals to practice various tools and improve their technical skills. The training occurs in an interactive learning environment that enables completing sophisticated tasks in full-fledged operating systems, networks, and applications. During the training, the learning environment allows…
Descriptors: Computer Security, Information Security, Training, Data Collection
Heinzman, Erica – Statistics Education Research Journal, 2022
Many important voices--including The National Council for Teachers of Mathematics (NCTM), the Dana Center's Launch Years initiative, and others--advocate for expanding the traditional course offerings in high school mathematics and statistics to include courses such as the Introduction to Data Science (IDS). To date, the research on the IDS course…
Descriptors: High School Students, Student Experience, Student Attitudes, Self Efficacy
Davidaviciene, Vida; Davidavicius, Sigitas – International Journal of Learning and Change, 2022
The article aims to investigate consumer perception of innovations in e-commerce and according to exploratory research results to define further research areas. Literature analysis was performed to investigate and identify important criteria of e-commerce quality perception, after exploratory research was conducted, in order to deepen the…
Descriptors: Consumer Economics, Innovation, Internet, Business
Petersen, Ashley – Journal of Statistics and Data Science Education, 2022
While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated outcomes. To this end, this article presents an in-class activity using results from Monte Carlo…
Descriptors: Intuition, Skill Development, Correlation, Graduate Students
Inan, Elvan; Mert Uyangor, Sevinç – Participatory Educational Research, 2022
The aim of this research is to examine the postgraduate studies conducted in the field of mathematics education with individuals diagnosed as gifted and talented students in Türkiye. For this purpose, master's and doctoral studies in the database of the National Thesis Center of the Council of Higher Education [CHE] of Türkiye were examined. The…
Descriptors: Foreign Countries, Masters Theses, Doctoral Dissertations, Mathematics Education
Reeves, Todd D.; Wei, Dan; Hamilton, Valerie – Educational Forum, 2022
Non-academic factors such as school climate, grit, and growth mindset are receiving much attention in recent education policy and practice. Within this context, this study (N = 425) describes the distribution of U.S. in-service teachers' access to and use of 10 categories of non-academic data. Findings indicate that in-service teachers vary widely…
Descriptors: Access to Information, Data Use, Decision Making, Educational Environment
Carter, Coy, Jr.; Parr, Alyssa; Pekel, Katie – Region 10 Comprehensive Center, 2022
Given the concerning lack of teachers of color in Minnesota, the positive outcomes of having a diverse educator workforce, and growing legislative action in this area with the Increase Teachers of Color Act, the Minnesota Department of Education with the assistance of the Wisconsin-Minnesota Comprehensive Center Region 10 (R10CC) sought to better…
Descriptors: Diversity (Faculty), Change Strategies, School Districts, Charter Schools
Xu, Ziqian; Hai, Jiarui; Yang, Yutong; Zhang, Zhiyong – Grantee Submission, 2022
Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network imputation methods including simple ones constructed from network structural characteristics and more complicated model-based ones have been developed. Although past…
Descriptors: Social Networks, Network Analysis, Data Analysis, Bayesian Statistics
Data Quality Campaign, 2022
State legislators have the opportunity to create and support legislation that positions data as a tool to help decisionmakers at all levels take action to support student success. This checklist can serve as a guide to crafting legislation that addresses education data. It applies specifically to education data legislation which includes bills…
Descriptors: State Legislation, Data Collection, Data Analysis, Educational Policy
Clare Waterman; Katherine Shields; Tracy McMahon – Education Development Center, Inc., 2022
This Toolkit presents lessons learned from the process of implementing a new system for collecting student-level work-based learning (WBL) data in high school career and technical education (CTE) programs. As part of a study on career academies and WBL, a research team worked closely with a district CTE office and school staff to design and…
Descriptors: Vocational Education, Work Experience Programs, Data Collection, Goal Orientation
Jessica Emick; Nathan M. Griffith; Hannah Schweitzer – Psychology in the Schools, 2025
Epilepsy is one of the most common neurological disorders in young people, which disrupts daily life and results in an increased risk of victimization. Archival data from the 2018/2019 National Survey of Children's Health (NSCH), a nationally representative cross-sectional survey, were used. Data from the NSCH were collected via parent reports and…
Descriptors: Epilepsy, Severity (of Disability), Students with Disabilities, Parents
Ozlem Oktay; Ilknur Reisoglu; Seyda Gul; Dilek Teke; Mustafa Sozbilir; Ilayda Gunes; Rumeysa Yildiz; Gulsah Atila; Aysegul Yazar; Lauri Malmi; Päivi Kinnunen; Jarkko Lampiselkä; Arja Kaasinen – Scandinavian Journal of Educational Research, 2025
The aim of this study is to compare the master's (MA) theses in Türkiye (TR) and Finland (FIN) published between 2015-2019. A total of 765 theses were analysed in terms of year, discipline, methodological approach, research method, didactic foci, data collection tool, target group, and sample size. The results showed that FIN theses grounded on…
Descriptors: Foreign Countries, Masters Theses, STEM Education, Intellectual Disciplines
Frank C. Butler; Deborah M. Mullen; Kathleen K. Wheatley – Journal of Education for Business, 2025
Anecdotal evidence suggests that students with quantitative business majors (e.g., finance, accounting, data analytics, economics) outperform students from less quantitatively rigorous majors (e.g., management, human resource management, marketing) on a business simulation game at a mid-sized, southeastern, public, AACSB accredited university. We…
Descriptors: Business Education, Majors (Students), Finance Occupations, Accounting
Sheryl S. Lazarus; Martha L. Thurlow; Mari K. A. Quanbeck – Journal of Special Education, 2025
The 2015 reauthorization of the Elementary and Secondary Education Act placed a 1.0% cap on the participation of students with disabilities in the alternate assessment based on alternate academic achievement standards (AA-AAAS). U.S. Department of Education regulations clarified that states must develop participation guidelines and a definition of…
Descriptors: Students with Disabilities, Alternative Assessment, Guidelines, State Standards

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