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Sahil Luthra; Austin Luor; Adam T. Tierney; Frederic Dick; Lori L. Holt – npj Science of Learning, 2025
Humans implicitly pick up on probabilities of stimuli and events, yet it remains unclear how statistical learning builds expectations that affect perception. Across 29 experiments, we examine the influence of task-irrelevant distributions--defined across acoustic frequency--on both tone detection in noise and tone duration judgments. The shape and…
Descriptors: Probability, Statistics, Expectation, Auditory Perception
Kurt, Gamze – Statistics Education Research Journal, 2023
This paper reports the statistical and probabilistic reasoning of young children in terms of randomness, variability, and data representations in the context of informal inferential reasoning (IIR). Using the IIR approach, a task was designed and conducted one-on-one with 28 children aged 5 to 6 years old, in a case study setting. The researcher…
Descriptors: Young Children, Childrens Attitudes, Cognitive Processes, Abstract Reasoning
Amanda J. Shaker; Christopher Brignell; Mathew Pugh – International Journal of Mathematical Education in Science and Technology, 2025
A commonly-held belief is that many university students are 'assessment-driven'; that is, students engage more with activities that are assessed compared with those that are not. 'Incentivised engagement' includes the practice of providing incentives (such as marks or otherwise) for students to engage in particular activities. Perusall is a social…
Descriptors: Undergraduate Students, Reading Assignments, Educational Technology, Technology Uses in Education
Fabian Tomaschek; Michael Ramscar; Jessie S. Nixon – Cognitive Science, 2024
Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…
Descriptors: Sequential Learning, Learning Processes, Serial Learning, Executive Function
Omar Abu-Ghalyoun; Adnan Al-Abed – Teaching Statistics: An International Journal for Teachers, 2024
This study investigates a range of non-normative ideas that pre-service teachers (PSTs) employ in reasoning about sampling variability. This issue was studied in the context of a content course on statistics and probability for pre-service middle grade teachers at a Midwestern American university. Analysis of seven PSTs' video and screen records…
Descriptors: Preservice Teachers, Middle School Teachers, Teacher Characteristics, Knowledge Level
Martha Elena Aguiar Barrera; Humberto Gutierrez Pulido; Veronica Vargas Alejo – Statistics Education Research Journal, 2023
This research presents the results of the implementation of a model-eliciting activity called Brickyards, designed to promote the learning of the binomial distribution. The theoretical framework used was the Models and Modeling Perspective, and the participants were undergraduate students enrolled in a probability and statistics course of the…
Descriptors: Foreign Countries, Undergraduate Students, Civil Engineering, Learning Activities
Callingham, Rosemary; Watson, Jane; Oates, Greg – Mathematics Education Research Group of Australasia, 2022
It is increasingly recognised that to be informed citizens and to participate fully in the workforce requires an understanding of statistical data and risk. Such understanding is underpinned by statistical reasoning. It has been shown, however, that students have difficulty moving from concrete representations and procedural mathematical…
Descriptors: Mathematics Skills, Mathematical Logic, Statistics Education, Logical Thinking
Chi, Nguyen Phuong – International Journal of Education and Practice, 2022
An international comparative study of mathematics textbooks is essential in identifying trends in international mathematics education, developing textbooks and improving the quality of teaching and learning in mathematics. This study analyses and compares the contents of the probability and statistics curricula in the high school textbooks of…
Descriptors: Foreign Countries, Textbooks, Textbook Content, Probability
Thompson, W. Burt; Garry, Amanda; Taylor, John; Radell, Milen L. – Psychology Learning and Teaching, 2020
When people interpret the outcome of a research study, do they consider other relevant information such as prior research? In the current study, 251 college graduates read a single brief fictitious news article. The article summarized the findings of a study that found positive results for a new drug. Three versions of the article varied the…
Descriptors: College Graduates, Statistics, Misconceptions, Probability
Jianyi Liu; Tengwen Fan; Yan Chen; Jingjing Zhao – npj Science of Learning, 2023
Statistical learning (SL) plays a key role in literacy acquisition. Studies have increasingly revealed the influence of distributional statistical properties of words on visual word processing, including the effects of word frequency (lexical level) and mappings between orthography, phonology, and semantics (sub-lexical level). However, there has…
Descriptors: Semantics, Brain Hemisphere Functions, Language Processing, Reading Processes
Lopes, Celi Espasandin; Augusto, Adriana F. De C.; de Toledo, Sezilia Elizabete Rodrigues G. O. – Statistics Education Research Journal, 2023
The objective of this article is to discuss the development of statistical and probabilistic reasoning in childhood as a result of an interdisciplinary project, involving the fields of mathematics, statistics, and life sciences. This is a case study with three 10-year-old students from a Brazilian school. The children's oral and written narratives…
Descriptors: Foreign Countries, Interdisciplinary Approach, Thinking Skills, Skill Development
Isbilen, Erin S.; Christiansen, Morten H. – Cognitive Science, 2022
Statistical learning is a key concept in our understanding of language acquisition. Ample work has highlighted its role in numerous linguistic functions--yet statistical learning is not a unitary construct, and its consistency across different language properties remains unclear. In a meta-analysis of auditory-linguistic statistical learning…
Descriptors: Language Acquisition, Statistics, Meta Analysis, Auditory Stimuli
Sünbül, Seçil Ömür – International Journal of Progressive Education, 2019
In this study, it is aimed to investigate the effects of various factors on the performance of the methods used in the determination of differential item functioning (DIF) in the DINA model included in the Cognitive Diagnosis Models. The current study is limited with Logistic Regression and Wald test methods which were used to determine the…
Descriptors: Test Bias, Models, Correlation, Probability
Grando, Regina Célia; Lopes, Celi Espasandin – ZDM: The International Journal on Mathematics Education, 2020
Research on statistical education in childhood is recent in Brazil. The research has been mainly driven by curriculum reforms and the creation of research groups that investigate teaching, learning, and teacher education practices. The present paper emerges from this scenario and has the aim of investigating practices of creative insubordination…
Descriptors: Statistics, Probability, Mathematics Instruction, Teacher Behavior
Fernández-Chamorro, Vanessa; Pamplona, Sonia; Pérez-Fructuoso, María José – Journal of Computing in Higher Education, 2020
This study analyzes the relationship between the entry path to a degree and the prior statistical competence of students taking a Statistics and Probability course at an online university. We assessed students' prior knowledge by administering a pretest of the information covered in the course analyzed. The sample includes 108 students from…
Descriptors: Prior Learning, Statistics, Virtual Universities, College Students