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Rosenthal, Jeffrey S. – Teaching Statistics: An International Journal for Teachers, 2018
This article advocates that introductory statistics be taught by basing all calculations on a single simple margin-of-error formula and deriving all of the standard introductory statistical concepts (confidence intervals, significance tests, comparisons of means and proportions, etc) from that one formula. It is argued that this approach will…
Descriptors: Statistics, Introductory Courses, Computation, Statistical Analysis
Montangero, Simone; Vittone, Francesca; Olderbak, Sally; Wilhelm, Oliver – Teaching Statistics: An International Journal for Teachers, 2018
We present a versatile scenario to introduce students to statistics: the test that spaghetti sticks only if sufficiently done. The statistical analyses can be performed at different levels of complexity and formal correctness, adapting it to the students' age.
Descriptors: Teaching Methods, Statistics, Statistical Analysis, Difficulty Level
Fay, Derek M.; Levy, Roy; Mehta, Vandhana – Journal of Educational Measurement, 2018
A common practice in educational assessment is to construct multiple forms of an assessment that consists of tasks with similar psychometric properties. This study utilizes a Bayesian multilevel item response model and descriptive graphical representations to evaluate the psychometric similarity of variations of the same task. These approaches for…
Descriptors: Psychometrics, Performance Based Assessment, Bayesian Statistics, Item Response Theory
Taber, Keith S. – Research in Science Education, 2018
Cronbach's alpha is a statistic commonly quoted by authors to demonstrate that tests and scales that have been constructed or adopted for research projects are fit for purpose. Cronbach's alpha is regularly adopted in studies in science education: it was referred to in 69 different papers published in 4 leading science education journals in a…
Descriptors: Educational Research, Science Education, Statistics, Measures (Individuals)
Beckman, Matthew D.; delMas, Robert – ZDM: The International Journal on Mathematics Education, 2018
Statistical thinking partially depends upon an iterative process by which essential features of a problem setting are identified and mapped onto an abstract model or archetype, and then translated back into the context of the original problem setting (Wild and Pfannkuch, Int Stat Rev 67(3):223-248, 1999). Assessment in introductory statistics…
Descriptors: Statistics, Statistical Inference, Introductory Courses, Mathematical Logic
Deocampo, Joanne A.; Smith, Gretchen N. L.; Kronenberger, William G.; Pisoni, David B.; Conway, Christopher M. – Language, Speech, and Hearing Services in Schools, 2018
Purpose: Statistical learning--the ability to learn patterns in environmental input--is increasingly recognized as a foundational mechanism necessary for the successful acquisition of spoken language. Spoken language is a complex, serially presented signal that contains embedded statistical relations among linguistic units, such as phonemes,…
Descriptors: Deafness, Assistive Technology, Partial Hearing, Language Acquisition
De Cat, Cecile; Gusnanto, Arief; Serratrice, Ludovica – Studies in Second Language Acquisition, 2018
The literature exploring the executive function correlates of bilingualism is vast, but to date, few studies have concentrated on children, for whom the bilingual advantage appears even more inconsistent than for adults. We investigate a highly heterogeneous group of children (in terms of bilingual experience and socioeconomic status) and identify…
Descriptors: Executive Function, Bilingualism, Children, Socioeconomic Status
Shear, Benjamin R.; Nordstokke, David W.; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2018
This computer simulation study evaluates the robustness of the nonparametric Levene test of equal variances (Nordstokke & Zumbo, 2010) when sampling from populations with unequal (and unknown) means. Testing for population mean differences when population variances are unknown and possibly unequal is often referred to as the Behrens-Fisher…
Descriptors: Nonparametric Statistics, Computer Simulation, Monte Carlo Methods, Sampling
Chen, Weiyu; Joe-Wong, Carlee; Brinton, Christopher G.; Zheng, Liang; Cao, Da – International Educational Data Mining Society, 2018
Adaptive online courses are designed to automatically customize material for different users, typically based on data captured during the course. Assessing the quality of these adaptive courses, however, can be difficult. Traditional assessment methods for (machine) learning algorithms, such as comparison against a ground truth, are often…
Descriptors: Online Courses, Comparative Analysis, Statistics, Correlation
Dara Tafazoli; Lee McCallum – JALT CALL Journal, 2025
The integration of computer-assisted language learning (CALL) has held increasing interest among the community over the last three decades. One paper which has taken stock of this interest and modelled the factors that impact integration has been written by Hong (2010). While Hong's model has significantly contributed to understanding technology…
Descriptors: Teaching Methods, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Patrik Holm – E-Learning and Digital Media, 2025
The increasing prevalence of online courses has highlighted the importance of digital literacy for students. This study investigates the relationship between digital literacy and academic achievement among students who participate in an online course on anatomy and physiology. The study also evaluates how different aspects of digital literacy,…
Descriptors: Digital Literacy, Physiology, Science Instruction, Anatomy
Ali Alqarni – Journal of Educational Computing Research, 2025
This study examined the effect of gamification on visual programming and computational thinking skills among primary school students, aiming to investigate how gamified learning environments enhance cognitive skill development and conceptual integration compared to traditional teaching methods. A quasi-experimental design was employed, involving…
Descriptors: Thinking Skills, Game Based Learning, Achievement Tests, Teaching Methods
Park, Soojin; Palardy, Gregory J. – Journal of Educational and Behavioral Statistics, 2020
Estimating the effects of randomized experiments and, by extension, their mediating mechanisms, is often complicated by treatment noncompliance. Two estimation methods for causal mediation in the presence of noncompliance have recently been proposed, the instrumental variable method (IV-mediate) and maximum likelihood method (ML-mediate). However,…
Descriptors: Computation, Compliance (Psychology), Maximum Likelihood Statistics, Statistical Analysis
Larmuseau, Charlotte; Cornelis, Jan; Lancieri, Luigi; Desmet, Piet; Depaepe, Fien – British Journal of Educational Technology, 2020
To have insight into cognitive load (CL) during online complex problem solving, this study aimed at measuring CL through physiological data. This study experimentally manipulated intrinsic and extraneous load of exercises in the domain of statistics, resulting in four conditions: high complex with hints, low complex with hints, high complex…
Descriptors: Learning Analytics, Problem Solving, Electronic Learning, Cognitive Processes
Conway, Basil M., IV.; Nguyen, Ha – International Journal for the Scholarship of Teaching and Learning, 2020
The following action research depicts how two researchers from two universities merged their courses and goals of instruction to impact change in future teachers. Two currently practicing middle school teachers from one university worked with researchers to develop a social justice lesson that had relevance to seventeen K-8 pre-service teachers at…
Descriptors: Social Justice, Statistics, Mathematics Instruction, Action Research

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