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Terence Mills – Australian Mathematics Education Journal, 2024
Terence Mills introduces us to Keynsian probability and discusses its implications for teaching probability. The author considers it unlikely that Keynes's theory would replace how we teach probability, but argues that it may make us think more deeply about the use of terms such as chance and probability when used in our lessons.
Descriptors: Probability, Mathematics Instruction, Teaching Methods, Theories
Stephen Sowa; Julie Smith; Andrew Manches – International Journal for Educational and Vocational Guidance, 2024
To explore the differential impact of job automation for different groups of primary and secondary school students, an analysis of variance was conducted using survey data on the occupational aspirations of British school students (aged 7-18) and probability statistics derived from a model of job automation. Results indicated that students aged…
Descriptors: Secondary School Students, Career Choice, Occupational Aspiration, Probability
Chernoff, Egan J. – Canadian Journal of Science, Mathematics and Technology Education, 2023
Constantly on the lookout for and with a vested interest in Canadian mathematics education matters, because if Canadian mathematics education matters then Canadian mathematics education matters, this article is an investigation into the Canadian lottery landscape. With apologies to the Atlantic Lottery, Loto-Québec and Ontario Lottery and Gaming,…
Descriptors: Foreign Countries, Mathematics Education, Selective Admission, Competitive Selection
Kuznetsova, Elena – International Electronic Journal of Mathematics Education, 2019
The goal the article is to answer the questions: "Why the probability theory and its applications should be studied?" and "What is the attitude of students to the study of probabilistic branches of mathematics?" The values of probabilistic branches of mathematics (stochastics) are revealed on the analysis of scientific…
Descriptors: College Mathematics, Probability, Undergraduate Students, Student Attitudes
Iannario, Maria; Manisera, Marica; Piccolo, Domenico; Zuccolotto, Paola – Sociological Methods & Research, 2020
In analyzing data from attitude surveys, it is common to consider the "don't know" responses as missing values. In this article, we present a statistical model commonly used for the analysis of responses/evaluations expressed on Likert scales and extended to take into account the presence of don't know responses. The main objective is to…
Descriptors: Response Style (Tests), Likert Scales, Statistical Analysis, Models
Wallin, Gabriel; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2019
When equating two test forms, the equated scores will be biased if the test groups differ in ability. To adjust for the ability imbalance between nonequivalent groups, a set of common items is often used. When no common items are available, it has been suggested to use covariates correlated with the test scores instead. In this article, we reduce…
Descriptors: Equated Scores, Test Items, Probability, College Entrance Examinations
Marklund, Emil – History of Education, 2021
By exploring demographic data on teachers through a Bordieusian lens, this study aims to analyse the socio-economic background of primary school teachers in northern Sweden depending on gender and type. The rural area under study follows a national development where the number of primarily female teachers and junior school teachers increased…
Descriptors: Foreign Countries, Elementary School Teachers, Teacher Background, Socioeconomic Background
Mulder, J.; Raftery, A. E. – Sociological Methods & Research, 2022
The Schwarz or Bayesian information criterion (BIC) is one of the most widely used tools for model comparison in social science research. The BIC, however, is not suitable for evaluating models with order constraints on the parameters of interest. This article explores two extensions of the BIC for evaluating order-constrained models, one where a…
Descriptors: Models, Social Science Research, Programming Languages, Bayesian Statistics
Liebscher, Eckhard; Michael, Ben – International Electronic Journal of Mathematics Education, 2019
In the paper a software solution is presented for the generation of instances of exercises. The focus is on education in mathematics but the approach can be adopted in other fields such as computer science and natural science. The present solution uses the R environment for the generation process and LaTeX for the content presentation. In the…
Descriptors: Mathematics Instruction, Electronic Learning, Integrated Learning Systems, Probability
Ernst, Heather – Mathematics Education Research Group of Australasia, 2018
In this paper, the probability content in senior secondary mathematics Victorian curriculum between 1978 and 2016 was classified and compared, by content, context, procedural complexity, the SOLO thinking frameworks and use of technology. While probability continues to form an important and increasing component of the curriculum, it has moved from…
Descriptors: Secondary School Mathematics, Probability, Foreign Countries, Difficulty Level
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
Icardi, Rossella – International Journal of Lifelong Education, 2019
Existing evidence shows that the higher the level of education the higher the likelihood to participate in workplace training. However, we know little about training participation of individuals educated to the secondary level, and whether this may vary by the type of qualification attained, i.e. vocational or general. Vocational qualification…
Descriptors: Foreign Countries, Comparative Education, Workplace Learning, On the Job Training
Diwakar, Rekha – Practical Assessment, Research & Evaluation, 2017
Many existing methods of statistical inference and analysis rely heavily on the assumption that the data are normally distributed. However, the normality assumption is not fulfilled when dealing with data which does not contain negative values or are otherwise skewed--a common occurrence in diverse disciplines such as finance, economics, political…
Descriptors: Statistical Inference, Statistical Distributions, Research, Foreign Countries
Mezhennaya, Natalia M.; Pugachev, Oleg V. – European Journal of Contemporary Education, 2019
Typical difficulties in learning probabilistic subjects are concerned with big data, complicated formulas and inconvenient figures in statistical analyses. The present research considers the usage of innovative teaching methods (e.g. electronic summary of lectures, presentations of lecture courses, task solution templates, electronic training…
Descriptors: Mathematics Instruction, Probability, Statistics, Teaching Methods
Henman, Paul; Brown, Scott D.; Dennis, Simon – Australian Universities' Review, 2017
In 2015, the Australian Government's Excellence in Research for Australia (ERA) assessment of research quality declined to rate 1.5 per cent of submissions from universities. The public debate focused on practices of gaming or "coding errors" within university submissions as the reason for this outcome. The issue was about the…
Descriptors: Rating Scales, Foreign Countries, Universities, Achievement Rating