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Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
Mihyun Son; Minsu Ha – Education and Information Technologies, 2025
Digital literacy is essential for scientific literacy in a digital world. Although the NGSS Practices include many activities that require digital literacy, most studies have examined digital literacy from a generic perspective rather than a curricular context. This study aimed to develop a self-report tool to measure elements of digital literacy…
Descriptors: Test Construction, Measures (Individuals), Digital Literacy, Scientific Literacy
Guo, Hongwen; Zhang, Mo; Deane, Paul; Bennett, Randy E. – Journal of Educational and Behavioral Statistics, 2019
We used an unobtrusive approach, keystroke logging, to examine students' cognitive states during essay writing. Based on data contained in the logs, we classified writing process data into three states: text production, long pause, and editing. We used semi-Markov processes to model the sequences of writing states and compared the state transition…
Descriptors: Writing Processes, Cognitive Processes, Essays, Keyboarding (Data Entry)
Chang, Hedy N.; Gee, Kevin; Hennessy, Briana; Alexandro, David; Gopalakrishnan, Ajit – Attendance Works, 2021
This report describes how Connecticut took steps to collect consistent attendance data by learning mode -- remote, in-person and hybrid -- and publicly released data in a timely manner during the pandemic. For example, the Connecticut State Department of Education (CSDE) agreed upon a standard definition of attendance -- showing up to school for…
Descriptors: Attendance, COVID-19, Pandemics, Data Collection
Martin, Andrew J.; Mansour, Marianne; Malmberg, Lars-Erik – Educational Psychology, 2020
Using mobile technology and experience sampling in junior high school, real-time motivation and engagement were explored at four-levels: between lessons (up to 2 lessons per day; Level 1), between days (5 days per week; L2), between weeks (4 weeks; L3), and between students (113 students; L4). Findings for a 'random effects' model revealed…
Descriptors: Student Motivation, Learner Engagement, Computer Use, Behavior Patterns
Zhu, Mengxiao; Zhang, Mo; Deane, Paul – ETS Research Report Series, 2019
The research on using event logs and item response time to study test-taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed the keystroke logs collected from 761 middle school students in the United States as they completed a persuasive writing task. Seven variables were extracted from the…
Descriptors: Keyboarding (Data Entry), Data Collection, Data Analysis, Writing Processes
Rouse, Heather; Goudie, Anthony; Rettiganti, Mallik; Leath, Katherine; Riser, Quentin; Thompson, Joseph – Journal of School Health, 2019
Background: We examined prevalence, incidence, and trajectory of obesity from kindergarten through grade 8 in one of the first states to implement annual surveillance. Methods: Participants included 16,414 children enrolled in kindergarten in Arkansas in 2004 with complete body mass index (BMI) measurements in kindergarten and eighth grade.…
Descriptors: Incidence, Longitudinal Studies, Obesity, Kindergarten
Idil, Feriha Hande; Narli, Serkan; Aksoy, Esra – International Journal of Education in Mathematics, Science and Technology, 2016
The aim of this study is to examine middle school students' attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. "How do I actually learn?" questionnaire and attitude scale…
Descriptors: Mathematics Instruction, Middle School Students, Student Attitudes, Secondary School Mathematics
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Temkin, Deborah; Fulks, Emily – Child Trends, 2021
The COVID-19 pandemic has fundamentally changed the ways schools and other youth-serving agencies are operating. To prevent the continued spread of the virus, many schools and agencies have moved to virtual only or hybrid virtual/in-person activities. Along with adapting many other activities, schools and agencies' approaches to bullying…
Descriptors: Bullying, Prevention, Legislation, Board of Education Policy
National Assessment of Educational Progress (NAEP), 2017
The National Assessment of Education Progress (NAEP) is the largest continuing and nationally representative assessment of what the nation's students know and can do in subjects such as civics, geography, mathematics, reading, U.S. history, and writing. The results of NAEP are released as The Nation's Report Card. NAEP is a congressionally…
Descriptors: National Competency Tests, Computer Assisted Testing, Grade 4, Grade 8
Knezek, Gerald; Christensen, Rhonda; Tyler-Wood, Tandra; Gibson, David – Journal of STEM Education: Innovations and Research, 2015
Data gathered from 325 middle school students in four U.S. states indicate that both male (p < 0.0005, RSQ = 0.33) and female (p < 0.0005, RSQ = 0.36) career aspirations for "being a scientist" are predictable based on knowledge of dispositions toward mathematics, science and engineering, plus self-reported creative tendencies. For…
Descriptors: Middle School Students, Gender Differences, STEM Education, Occupational Aspiration
Genao, Soribel – Education and Urban Society, 2015
Students across the nation are encountering more and more difficulties in their transition to high school. Not only are a significant number of students dropping out, but those who stay are also leaving high school without the skills they need to become productive citizens. Several intervention strategies are recommended to help students make a…
Descriptors: Data Collection, Middle School Students, High School Students, Principals
Sandoval, William A.; Harven, Aletha M. – Journal of Science Education and Technology, 2011
Following their participation in a guided-inquiry unit, 129 seventh-graders from five diverse urban middle schools were asked about their perceptions of specific inquiry tasks, from an expectancy-value framework. Students were asked to rate the interest value, utility value, and task difficulty of (a) data collection design; (b) explanation; (c)…
Descriptors: Middle Schools, Student Attitudes, Data Analysis, Gender Differences
Temkin, Deborah; Greenfield, Suzanne – Child Trends, 2019
Strong anti-bullying policies are foundational to effective bullying prevention. The Youth Bullying Prevention Act of 2012 (YBPA; DC Law L19-167) is among the most comprehensive bullying prevention policies across the United States and its territories. The law and its implementing regulations require all schools and youth-serving agencies…
Descriptors: Bullying, Prevention, Legislation, Board of Education Policy
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