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Magalhães, Marcos N.; Camargo Magalhães, Maria Cecilia – Statistics Education Research Journal, 2021
Conceptual appropriation is central to the teaching-learning and development processes. The intellectual stage is expressed by writing, verbalization and the use of the object under construction, among other means of expression. This paper discusses the conceptual appropriation by means of the creation of collaborative situations in which the…
Descriptors: Statistics Education, Persuasive Discourse, Mathematical Concepts, Concept Formation
Luik, Piret; Lepp, Marina – International Review of Research in Open and Distributed Learning, 2021
Computer programming MOOCs attract people who have different motivations. Previous studies have hypothesized that the motivation declared before starting the course can be an important predictor of distinctive dropout rates. The aim of this study was to outline the main motivation clusters of participants in a computer programming MOOC, and to…
Descriptors: Student Motivation, Programming, Online Courses, Large Group Instruction
DiGuiseppi, Carolyn; Levy, Susan E.; Sabourin, Katherine R.; Soke, Gnakub N.; Rosenberg, Steven; Lee, Li-Ching; Moody, Eric; Schieve, Laura A. – Journal of Autism and Developmental Disorders, 2018
This study examined caregiver-reported medically-attended injuries among 30-68 month old children with autism spectrum disorder (ASD) compared to general population (POP) and non-ASD developmental disorders (DD) controls in the Study to Explore Early Development. Injuries were common in ASD cases (32.3%) as well as POP (30.2%) and DD (27.8%)…
Descriptors: Injuries, Autism, Pervasive Developmental Disorders, Child Development
Beyerlein, Kraig; Barwis, Peter; Crubaugh, Bryant; Carnesecca, Cole – Sociological Methods & Research, 2018
The National Study of Protest Events (NSPE) employed hypernetwork sampling to generate the first-ever nationally representative sample of protest events. Nearly complete information about various event characteristics was collected from participants in 1,037 unique protests across the United States in 2010 to 2011. The first part of this article…
Descriptors: Activism, National Surveys, Sampling, Comparative Analysis
Bennett, Kevin L. – International Journal for the Scholarship of Teaching and Learning, 2018
The Monty Hall Dilemma (MHD), made famous by the television game show Let's Make a Deal, can be an effective teaching tool with wide ranging behavioral science applications. The format and history of the problem are presented as well as experimental data and variations on the original design. Strategic game playing choices are discussed from…
Descriptors: Teaching Methods, Decision Making, Probability, Educational Games
Sinharay, Sandip – Measurement: Interdisciplinary Research and Perspectives, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
Rispoli, Matthew – Journal of Speech, Language, and Hearing Research, 2018
Purpose: This article focuses on toddlers' revisions of the sentence subject and tests the hypothesis that subject diversity (i.e., the number of different subjects produced) increases the probability of subject revision. Method: One-hour language samples were collected from 61 children (32 girls) at 27 months. Spontaneously produced, active…
Descriptors: Grammar, Toddlers, Sentences, Probability
Peralta, Montserrat; Alarcon, Rosa; Pichara, Karim E.; Mery, Tomas; Cano, Felipe; Bozo, Jorge – IEEE Transactions on Learning Technologies, 2018
Educational resources can be easily found on the Web. Most search engines base their algorithms on a resource's text or popularity, requiring teachers to navigate the results until they find an appropriate resource. This makes searching for resources a tedious and cumbersome task. Specialized repositories contain resources that are annotated with…
Descriptors: Educational Resources, Metadata, Foreign Countries, Bayesian Statistics
Brosh, Chelsi R.; Fisher, Larry B.; Wood, Charles L.; Test, David W. – Education and Training in Autism and Developmental Disabilities, 2018
Wong et al. (2014) conducted a comprehensive review of the literature published between 1990 and 2011 to identify practices for children, adolescences, and young adults diagnosed with autism spectrum disorders (ASD) that had sufficient empirical support to be considered evidence-based. Behavior momentum interventions (BMI), or high-probability…
Descriptors: Autism, Pervasive Developmental Disorders, Probability, Children
Shen, Zhuping – Mathematics Teacher, 2018
Finding intersections, unions, and complements of sets is an essential issue in elementary mathematics. It builds the foundation for set theory, probability, logic, and other topics. It is commonly recognized that drawing a Venn diagram, which was first introduced by the British philosopher and mathematician John Venn in 1881, is a classic and…
Descriptors: Mathematics Instruction, Teaching Methods, Visual Aids, Problem Solving
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Journal of Computing in Higher Education, 2018
It is widely recognized and accepted that behavioral intention is the key direct determinant of technology use and the majority of research continues to promote this practice. Yet the influence of behavioral intention (i.e., an individual's conscious plan to use a technology) has been called into question more recently, as behavioral intention…
Descriptors: Computer Attitudes, Intention, Technology Uses in Education, Electronic Learning
Bosch, Nigel; Paquette, Luc – Journal of Learning Analytics, 2018
Metrics including Cohen's kappa, precision, recall, and F[subscript 1] are common measures of performance for models of discrete student states, such as a student's affect or behaviour. This study examined discrete model metrics for previously published student model examples to identify situations where metrics provided differing perspectives on…
Descriptors: Models, Comparative Analysis, Prediction, Probability
Beck, Melissa R.; Goldstein, Rebecca R.; van Lamsweerde, Amanda E.; Ericson, Justin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Attention allocation determines the information that is encoded into memory. Can participants learn to optimally allocate attention based on what types of information are most likely to change? The current study examined whether participants could incidentally learn that changes to either high spatial frequency (HSF) or low spatial frequency (LSF)…
Descriptors: Attention, Incidental Learning, Memory, Visual Perception
Makela, Susanna; Si, Yajuan; Gelman, Andrew – Grantee Submission, 2018
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to…
Descriptors: Bayesian Statistics, Statistical Inference, Sampling, Probability
Sinharay, Sandip – Grantee Submission, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics

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