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Koyuncu, Ilhan – Journal of Curriculum and Teaching, 2020
This study aimed to examine the importance levels of mathematics-specific trend variables in PISA (Programme for International Student Assessment) 2003 and 2012 in predicting mathematics performance across years with a two-step analysis method. The sample of the study was 9703 Turkish students (N[subscript 2003]=4855 and N[subscript 2012]=4848)…
Descriptors: International Assessment, Foreign Countries, Secondary School Students, Achievement Tests
Oslington, Gabrielle – Australian Primary Mathematics Classroom, 2020
A key element of statistical literacy is the construction and interpretation of graphs. In this article, the author uses examples of student work (Years 3 and 4), at an Australian school, to show some of the complex steps involved in creating a formal graph from a data table. Over time the student's observations and understanding become more…
Descriptors: Graphs, Statistics Education, Elementary School Mathematics, Elementary School Students
Watson, Jane; Callingham, Rosemary – Australian Mathematics Education Journal, 2020
The current COVID-19 situation has seen a plethora of data, statistics and predictions presented to society--some making incredible claims. The authors are concerned that statistics and probability still receive inadequate attention in the classroom, leaving students without the statistical literacy needed to make sense of the claims being made.…
Descriptors: Statistics, Mathematics Education, Curriculum, Knowledge Level
van Zundert, Camiel H. J.; Miocevic, Milica – Research Synthesis Methods, 2020
Synthesizing findings about the indirect (mediated) effect plays an important role in determining the mechanism through which variables affect one another. This simulation study compared six methods for synthesizing indirect effects: correlation-based MASEM, parameter-based MASEM, marginal likelihood synthesis, an adjustment to marginal likelihood…
Descriptors: Correlation, Comparative Analysis, Meta Analysis, Bayesian Statistics
Lovin, LouAnn H. – Mathematics Teacher: Learning and Teaching PK-12, 2020
Moving beyond memorization of probability rules, the area model can be useful in making some significant ideas in probability more apparent to students. In particular, area models can help students understand when and why they multiply probabilities and when and why they add probabilities.
Descriptors: Middle School Students, High School Students, Secondary School Mathematics, Geometric Concepts
Furnham, Adrian; Grover, Simmy – Journal of Intelligence, 2020
This paper reports two studies examining correlates of self-estimated intelligence (SEI). In the first, 517 participants completed a measure of SEI as well as self-estimated emotional intelligence (SEEQ), physical attractiveness, health, and other ratings. Males rated their IQ higher (74.12 vs. 71.55) but EQ lower (68.22 vs. 71.81) than females…
Descriptors: Self Evaluation (Individuals), Intelligence, Correlation, Self Concept
Dimitrov, Dimiter M.; Atanasov, Dimitar V.; Luo, Yong – Measurement: Interdisciplinary Research and Perspectives, 2020
This study examines and compares four person-fit statistics (PFSs) in the framework of the "D"- scoring method (DSM): (a) van der Flier's "U3" statistic; (b) "Ud" statistic, as a modification of "U3" under the DSM; (c) "Zd" statistic, as a modification of the "Z3 (l[subscript z])"…
Descriptors: Goodness of Fit, Item Analysis, Item Response Theory, Scoring
Watson, Jane; Fitzallen, Noleine; English, Lyn; Wright, Suzie – International Journal of Mathematical Education in Science and Technology, 2020
As STEM education becomes more prominent at the school level, many possibilities could be suggested for beginning experiences to create a foundation for young students as they begin their journeys with respect to STEM learning. The research reported here is based on the premise that building statistical understanding will enhance young students'…
Descriptors: STEM Education, Statistics, Grade 3, Science Activities
Zhang, Yanhui – Advances in Language and Literary Studies, 2020
This paper takes a system dynamic approach to study homogeneous texts where the dynamics of the lexical richness of such texts over time are of the focal concern. It is hypothesized that the progress of the lexical complexity is driven by how far away this process is from the maximum level of complexity, while is subject to the fluctuations due to…
Descriptors: Difficulty Level, Models, Validity, Language Research
Liu, Qimeng; Liu, Jian; Cai, Jinfa; Zhang, Zhikun – Educational Studies in Mathematics, 2020
This study explored 1634 Chinese eighth-grade students' domain- and task-specific self-efficacy and its relationship to their problem-posing performance. In particular, the linear regression model, generalized additive model (GAM), and piecewise regression model (PRM) were used to detail the linear and non-linear relationships between these…
Descriptors: Self Efficacy, Problem Solving, Mathematics Instruction, Mathematics Achievement
Justice, Nicola – Journal of Statistics Education, 2020
Many statistics departments in institutions throughout the world hire graduate students to teach and assist with the teaching of undergraduate and graduate-level statistics courses. As many of these graduate student instructors and graduate teaching assistants (GTAs) have little or no previous experience teaching statistics, statistics departments…
Descriptors: Graduate Students, Teaching Assistants, Statistics Education, Training
de Chiusole, Debora; Stefanutti, Luca; Anselmi, Pasquale; Robusto, Egidio – International Journal of Artificial Intelligence in Education, 2020
An intelligent tutoring system for learning basic statistics, called Stat-Knowlab, is presented and analyzed. The algorithms implemented in the system are based on the competence-based knowledge space theory, a mathematical theory developed for the formative assessment of knowledge and learning. The system's architecture consists of the two…
Descriptors: Statistics, Intelligent Tutoring Systems, Mathematics Instruction, Formative Evaluation
Ayebo, Abraham; Bright, Jered; Ballam, Christian – International Electronic Journal of Mathematics Education, 2020
Recent studies report that students' attitudes toward statistics play an important role in their statistics achievement. The goal of this study was to test the psychometric properties of the "Survey of Attitudes Towards Statistics" (SATS-28) among undergraduate health science students enrolled in an introductory statistics course. Most…
Descriptors: Attitude Measures, Statistics, Factor Structure, Undergraduate Students
Shen, Huajie; Liu, Teng; Zhang, Yueqin – International Journal of Distance Education Technologies, 2020
This study aims to create learning path navigation for target learners by discovering the correlation among micro-learning units. In this study, the learning path is defined as a sequence of learning units used to realize a learning goal, and a period used for realizing the learning goal is regarded as a learning cycle. Furthermore, the learning…
Descriptors: Correlation, Distance Education, Efficiency, Bayesian Statistics
Kirkup, Les; Frenkel, Bob – Physics Education, 2020
When the relationship between two physical variables, such as voltage and current, can be expressed as y = bx where b is a constant. b may be estimated by least squares, or by averaging the values of b obtained for each x-y data pair. We show for data gathered in an experiment, as well as through Monte Carlo simulation and mathematical analysis,…
Descriptors: Comparative Analysis, Least Squares Statistics, Monte Carlo Methods, Physics

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