In this article, the beta-binomial model for count data is proposed and demonstrated in terms of its application in the context of oral reading fluency (ORF) assessment, where the number of words read correctly (WRC) is of interest. Existing studies adopted the binomial model for count data in similar assessment scenarios. The beta-binomial model,…

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…

Parental involvement is essential to children's learning engagement activities and academic performance. Much research revolves around the impact of parental involvement on students' academic performance or the relationship between student engagement and grades. However, few studies have used process data to examine the relationship between…

Probability literacy has gained importance in educational curricula. The aim of this research was to analyse secondary education teachers' attitudes towards probability and its teaching and to examine differences across the factors of gender, academic training, and work experience. From a positivist paradigm, a quantitative methodology was used.…

To ensure the learning of mathematics, teachers must be able to analyse their students' mathematical practices when solving tasks, interpret the difficulties that students encounter, and decide how to manage students' difficulties. This competence in didactic analysis and intervention allows teachers to adapt their teaching to meet individual…

This research delves into the factors that shape Chinese college students' engagement with Generative AI (GenAI) for career exploration purposes, employing the lenses of the Comprehensive Model of Information Seeking (CMIS) and the Technology Acceptance Model (TAM). Utilizing a mixed-methods design, which integrates partial least squares…

Research has shown the negative impact of statistics anxiety on subsequent academic performance. Given that statistics competence is a core component of psychology at degree level across the UK, there is a clear need to explore alternative approaches to the teaching of such courses, such as via online delivery. The current paper reports on a study…

Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…

This research investigates the role of reinforcement sensitivity theory (RST) in statistics education among two distinct samples of undergraduate psychology students. In Study 1, 318 students in a third-year statistics course completed self-report measures of RST, anxiety, attitudes, and self-efficacy concerning the study of statistics. In Study…

We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…

Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…

The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…

Core Maths qualifications were introduced into the post-16 curriculum in England in 2014 to help students develop their quantitative and problem-solving skills. Taking the qualification should also give students confidence in understanding the mathematical content in other courses taken at the same time. In this article, we explore whether Core…

Statistical literacy is crucial for primary education teachers, particularly in contexts aligned with Education for Sustainable Development (EDS). This study assessed the preparedness of 16 Chilean future teachers, with a specific focus on Sustainable Development Goal 5 (SDG 5) within the cognitive framework of EDS. Using a validated and piloted…

This paper proposes an online learning platform learner DM method based on the improved fuzzy C clustering (FCM) algorithm, constructs a learner feature database, and combines clustering analysis and SPSS statistical methods to statistically summarize the big data of law, thus improving the deficiencies of static and absolute classification of…