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Grant Clayton; Joseph Taylor – Sage Research Methods Cases, 2024
In the United States high school students may take college level courses that count for credit in both high school and college, often called dual enrollment. Students may take courses at their high school from certified instructors or at a local college. We investigate possible differences between these two groups of students using student level…
Descriptors: Probability, Scores, Computation, Dual Enrollment
Avraham Merzel; Efraim Yehuda Weissman; Nadav Katz; Igal Galili – Physical Review Physics Education Research, 2024
Teaching quantum physics (QP) to high school (HS) students is gaining momentum, necessitating the exploration of various effective methods. Specifically, the research on quantitative teaching methods is still in its early stages. Understanding the power of Dirac notation (DN) in teaching is crucial for grasping the complexities of QP, as it…
Descriptors: High School Students, Secondary School Science, Science Education, Physics
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
Ekol, George; Mlotshwa, Simphiwe – Pythagoras, 2022
This case study carried out during the 2020 coronavirus disease of 2019 (COVID-19) lockdown used online data collection means to investigate the distribution of cognitive demand levels of probability and counting principles (PCP) learning tasks in a popular online Grade 12 mathematics textbook, based on the PCP teachers' rating. The teachers'…
Descriptors: Cognitive Processes, Difficulty Level, Probability, Computation
Hemer, David – Australian Mathematics Education Journal, 2020
This paper describes an investigation looking at the underlying mathematics of poker machines. The aim of the investigation is for students to get an appreciation of how poker machines are designed to ensure that in the long-term players will inevitably lose when playing. The first part of this paper describes how students can model a simple poker…
Descriptors: Equipment, Probability, Games, Mathematics Instruction
Russell, Matthew – Teaching Statistics: An International Journal for Teachers, 2013
The unexpectedness of the birthday problem has long been used by teachers of statistics in discussing basic probability calculation. An activity is described that engages students in understanding probability and sampling using the popular Facebook social networking site. (Contains 2 figures and 1 table.)
Descriptors: Statistics, Probability, Computation, Social Networks
Flores, Alfinio – Mathematics Teacher, 2014
Tossing a fair coin 1000 times can have an unexpected result. In the activities presented here, players keep track of the accumulated total for heads and tails after each toss, noting which player is in the lead or whether the players are tied. The winner is the player who was in the lead for the higher number of turns over the course of the game.…
Descriptors: Mathematics Instruction, Learning Activities, Numbers, Mathematical Concepts
Köhler, Carmen; Pohl, Steffi; Carstensen, Claus H. – Educational and Psychological Measurement, 2015
When competence tests are administered, subjects frequently omit items. These missing responses pose a threat to correctly estimating the proficiency level. Newer model-based approaches aim to take nonignorable missing data processes into account by incorporating a latent missing propensity into the measurement model. Two assumptions are typically…
Descriptors: Competence, Tests, Evaluation Methods, Adults
Bai, Haiyan – Journal of Experimental Education, 2013
Propensity score estimation plays a fundamental role in propensity score matching for reducing group selection bias in observational data. To increase the accuracy of propensity score estimation, the author developed a bootstrap propensity score. The commonly used propensity score matching methods: nearest neighbor matching, caliper matching, and…
Descriptors: Statistical Inference, Sampling, Probability, Computation
Özyurt, Hacer; Özyurt, Özcan – Eurasian Journal of Educational Research, 2015
Problem Statement: Learning-teaching activities bring along the need to determine whether they achieve their goals. Thus, multiple choice tests addressing the same set of questions to all are frequently used. However, this traditional assessment and evaluation form contrasts with modern education, where individual learning characteristics are…
Descriptors: Probability, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Wroughton, Jacqueline; Nolan, Joseph – Journal of Statistics Education, 2012
Understanding counting rules is challenging for students; in particular, they struggle with determining when and how to implement combinations, permutations, and the multiplication rule as tools for counting large sets and computing probability. We present an activity--using ideas from the games of poker and pinochle--designed to help students…
Descriptors: Probability, Mathematics Instruction, Mathematics Skills, Teaching Methods
Flores, Alfinio; Cauto, Kevin M. – Mathematics Teacher, 2012
This article will describe two activities in which students conduct experiments with random numbers so they can see that having at least one repeated birthday in a group of 40 is not unusual. The first empirical approach was conducted by author Cauto in a secondary school methods course. The second empirical approach was used by author Flores with…
Descriptors: Probability, Secondary School Students, Secondary School Mathematics, Mathematics Instruction
Carl, Bradley; Richardson, Jed T.; Cheng, Emily; Kim, HeeJin; Meyer, Robert H. – Journal of Education for Students Placed at Risk, 2013
This article describes the development of early warning indicators for high school and beyond in the Milwaukee Public Schools (MPS) by the Value-Added Research Center (VARC) at the University of Wisconsin-Madison, working in conjunction with staff from the Division of Research and Evaluation at MPS. Our work in MPS builds on prior early warning…
Descriptors: High Schools, Public Schools, School Districts, Urban Education
Kachapova, Farida; Kachapov, Ilias – International Journal of Mathematical Education in Science and Technology, 2012
Research on teaching high school mathematics shows that the topic of percentages often causes learning difficulties. This article describes a method of teaching percentages that the authors used in university bridging courses. In this method, the information from a word problem about percentages is presented in a two-way table. Such a table gives…
Descriptors: Logical Thinking, Learning Problems, Word Problems (Mathematics), Mathematics
Feldman, Betsy J.; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In longitudinal education studies, assuming that dropout and missing data occur completely at random is often unrealistic. When the probability of dropout depends on covariates and observed responses (called "missing at random" [MAR]), or on values of responses that are missing (called "informative" or "not missing at random" [NMAR]),…
Descriptors: Dropouts, Academic Achievement, Longitudinal Studies, Computation
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