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Martínez-Pérez, Sandra Areli; Sanchez Sanchez, Ernesto A. – Canadian Journal of Science, Mathematics and Technology Education, 2022
This work reports the results of an investigation that aimed to know the informal reasoning of high school students with and about the frequency approach of probability and the law of large numbers when they were faced with a problem about random intervals. The research question was as follows: What features of students' reasoning about the…
Descriptors: High School Students, Thinking Skills, Incidence, Problem Solving
Muhammed K. V.; Mercian Gloria Vivera – Journal of Educational Psychology, 2024
This study assessed the efficacy of the spaced learning method compared to the activity-oriented method in improving chemistry achievement among high school students, focusing on different cognitive domains. An experimental design involving pre and post-test control groups was employed, with 106 students from two schools participating. The…
Descriptors: High School Students, High School Teachers, Science Instruction, Chemistry
Martínez Pérez, Sandra Areli; Sánchez Sánchez, Ernesto A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
This work reports the results of a research aimed to know the probabilistic reasoning of high-school students when they deal with the notion of random intervals. An activity was carried out involving students between ages 16 and 17 who built random intervals through physical and computational simulations. The research question guiding this work…
Descriptors: High School Students, Thinking Skills, Probability, Intervals
Deihl, Steve; Markinson, Mara P. – Journal of Mathematics Education at Teachers College, 2019
High school students often ask questions about the nature of infinity. When contemplating what the "largest number" is, or discussing the speed of light, students bring their own ideas about infinity and asymptotes into the conversation. These are popular ideas, but formal ideas about the nature of mathematical sets, or "set…
Descriptors: High School Students, Mathematical Concepts, Algebra, Secondary School Mathematics
Blackshear, Tara B. – Strategies: A Journal for Physical and Sport Educators, 2020
High Intensity Interval Training (HIIT) is an effective strategy for improving health-related fitness in youth. With continued trends of reduced physical education activity time, disturbing youth obesity rates, and outdated fitness testing practices, HIIT training becomes a viable option to use in physical programs to increase physical health and…
Descriptors: Physical Education, Physical Activity Level, Student Empowerment, Intervals
Choi, Ikkyu; Hao, Jiangang; Deane, Paul; Zhang, Mo – ETS Research Report Series, 2021
"Biometrics" are physical or behavioral human characteristics that can be used to identify a person. It is widely known that keystroke or typing dynamics for short, fixed texts (e.g., passwords) could serve as a behavioral biometric. In this study, we investigate whether keystroke data from essay responses can lead to a reliable…
Descriptors: Accuracy, High Stakes Tests, Writing Tests, Benchmarking
Lincoln, James – Physics Teacher, 2018
I am writing this article to raise awareness of burst mode photography as a fun and engaging way for teachers and students to experience physics demonstration activities. In the context of digital photography, "burst mode" means taking multiple photographs per second, and this is a feature that now comes standard on most digital…
Descriptors: Physics, Demonstrations (Educational), Science Instruction, Photography
Rhoads, Kathryn; Mendoza Epperson, James A. – Mathematics Teacher, 2017
The Common Core State Standards for Mathematics (CCSSM) states that high school students should be able to recognize patterns of growth in linear, quadratic, and exponential functions and construct such functions from tables of data (CCSSI 2010). In their work with practicing secondary teachers, the authors found that teachers may make some tacit…
Descriptors: Mathematical Models, Intervals, Mathematics Instruction, Algebra
Grace, Lori – Learning Environments Research, 2017
A mixed-methods study was undertaken with 118 biology students in two urban high schools. A Student-Centered Adaptable Learning Environment (SCALE) was created to improve engagement from affective and cognitive perspectives using choice, creativity and technological allowances. Results demonstrated that fast and slow learners are generally…
Descriptors: Time, Intervals, Achievement Gap, Mixed Methods Research
Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Makel, Matthew C.; Lee, Seon-Young; Olszewki-Kubilius, Paula; Putallaz, Martha – Journal of Educational Psychology, 2012
Big-fish-little-pond effect (BFLPE) research (e.g., Marsh & Parker, 1984) has found that perceptions of academic ability are generally positively related to individual ability and negatively related to classroom and school average ability. However, BFLPE research typically relies on environmental differences as a between-subjects factor. Unlike…
Descriptors: Academic Ability, Academic Aspiration, Educational Environment, Self Concept
Calzada, Maria E.; Gardner, Holly – Mathematics and Computer Education, 2011
The results of a simulation conducted by a research team involving undergraduate and high school students indicate that when data is symmetric the student's "t" confidence interval for a mean is superior to the studied non-parametric bootstrap confidence intervals. When data is skewed and for sample sizes n greater than or equal to 10,…
Descriptors: Intervals, Effect Size, Simulation, Undergraduate Students
Young, Shawna – Strategies: A Journal for Physical and Sport Educators, 2012
A college professor who trains preservice physical education teachers was asked to design, develop, and implement a pilot physical education program at a nonpublic school primarily serving students with emotional and behavioral disorders (EBDs). The teacher/researcher conducted an action research study to maximize the effectiveness of teaching and…
Descriptors: Physical Education, Private Schools, Intervals, Physical Activities
Essid, Hedi; Ouellette, Pierre; Vigeant, Stephane – Economics of Education Review, 2010
The objective of this paper is to measure the efficiency of high schools in Tunisia. We use a statistical data envelopment analysis (DEA)-bootstrap approach with quasi-fixed inputs to estimate the precision of our measure. To do so, we developed a statistical model serving as the foundation of the data generation process (DGP). The DGP is…
Descriptors: High Schools, Intervals, Statistical Data, Foreign Countries
Owusu, Andrew; Hart, Peter; Oliver, Brittney; Kang, Minsoo – Journal of School Health, 2011
Background: School-based bullying, a global challenge, negatively impacts the health and development of both victims and perpetrators. This study examined the relationship between bullying victimization and selected psychological variables among senior high school (SHS) students in Ghana, West Africa. Methods: This study utilized data from the…
Descriptors: High School Students, Intervals, Bullying, Academic Achievement