It was aimed to examine pre-service teachers' developing understandings of doing statistics within a lesson study. It was focused on their understandings (i.e., content knowledge) of doing statistics as well as how they transform their understandings (i.e., content knowledge) into teaching practices (i.e., knowledge of student & knowledge of…

Although statistics is an important compulsory course in a wide variety of disciplines, the vast majority of students including TEFL postgraduate students find it frightening and difficult to understand, and thus suffer from underachievement. As a result, a specific kind of anxiety called statistical anxiety emerges that requires immediate…

This multifactorial corpus-based exploration of past tenses focuses specifically on the present perfect (PP) versus simple past (SP) alternation in intermediate-to-advanced learner English produced by French and German native speakers. While existing work on past tenses in L2 has traditionally focused on the role of lexical aspect in the…

While many STEM faculty believe Writing-to-Learn to be an effective instructional tool, instructional barriers such as the time and effort required to provide substantive feedback to their students limit the use of writing in STEM classrooms. Incorporating peer review and revision into the writing process can help mitigate these barriers while…

Statistical education is a very important area of research because it builds knowledge and promotes innovation in the courses of this discipline. Based on the advances in this area, changes in the content and approaches of the courses at all educational levels have been promoted in several countries. In this study, we examine programs of…

This paper describes the evolution of "recognition of need for data" and "strategical thinking", two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten…

The academic effects of learning statistics and probability through peer tutoring were analysed in the research reported on here. Two hundred and eight students enrolled in Grades 7, 8 and 9 participated. Fixed- and same-age peer tutoring was implemented 3 times per week for 6 weeks. Each tutoring session lasted approximately 25 minutes. The main…

Purpose: This article presents a case study exploring how future teachers combine scientific knowledge and practical knowledge during a history didactics course and practicum field experience in history teaching in Quebec high schools. Design: Through a thematic analysis of the written assignments submitted during the practicum and conceptual maps…

The current research used longitudinal data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (N = 1,103) to examine the developmental autoregressive cascades of prosocial behavior, academic competence, and peer exclusion in Grades 3-6. The cascade paths revealed that Grade 3…

Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…

Students learn many concepts in the introductory statistics course, but even our most successful students end up with rigid, ritualized knowledge that does not transfer easily to new situations. In this article we describe our attempt to apply theories and findings from learning science to the design of a statistics course that aims to help…

Today, most medical research depends on statistics, and interpreting these is crucial as the world tries to improve health outcomes. Medical students are at the front line in this effort but many have negative attitudes toward statistics. To assess this and offer recommendations, this study evaluates the attitudes of medical students in Riyadh,…

R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…

In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the…

This report from the Career and Technical Education (CTE) Research Network Lead team provides final results from an evaluability assessment of CTE programs that feasibly could be evaluated using a rigorous experimental design. Evaluability assessments (also called feasibility studies) are used in education and other fields, such as international…