The introductory statistics course has gotten better over the years, but there are many content areas in STAT 101 that should be reconsidered.

Psychological interventions offer a unique approach to enhancing the educational experience for university students. Unlike traditional teaching methods, these interventions directly address cognitive, emotional, and behavioural factors without requiring changes to course content, delivery methods, or involvement from the teaching team. This…

In 1908, Felix Klein suggested that to mend the discontinuity that prospective secondary teachers face, university instruction must account for teachers' needs. More than a century later, problems of discontinuity remain. Our project addresses the dilemma of discontinuity in university mathematics courses through simulating core teaching practices…

The COVID-19 pandemic has posed one of the most challenging situations for the academicians as well as the students all around the world. Students being the biggest stake holders of the education process, their challenges during this pandemic become even more pivotal. These challenges vary in intensity and type depending on multiple items. In this…

Background: Students often harbour negative attitudes towards research methods and statistics courses, and such attitudes may be associated with harmful cognitive and behavioural responses. Research on these effects has been restricted to the investigation of direct links between attitudes towards statistics, statistics anxiety, academic…

The typical collegiate introductory statistics course poses significant challenges for students. Many do not fully comprehend key course skills, and it is common for students to exit the class with a neutral or negative attitude toward statistics. To measure the impact of using relevant contextual examples as an instructional strategy during a…

This research examines the role of Supplemental Instruction in assisting students at a small Hispanic-Serving Institution (HSI) in the Southwest United States to improve their final grades in a required statistics course for criminal justice majors. Data collected over three semesters were analyzed using multivariate regression to test if…

The COVID-19 pandemic altered course delivery in higher education at many universities. This article evaluates the differences between student experiences in the fall 2019 semester (pre-pandemic) and those during the fall 2020 semester (pandemic) within a multidisciplinary, project-based introductory statistics course. Results indicated that there…

Purpose: The purpose of the article is to gain more insight into factors that can explain students' success in business subjects. The focus is on the connection between performance in introductory courses in business mathematics (BM) and business statistics (BS) and success in various business subjects. Design/methodology/approach: Use of a…

We develop a spreadsheet-based game to illustrate fundamental statistical concepts in the first class of an undergraduate Statistics course to motivate students about the topics that they will learn in upcoming classes. This game has been implemented by Google Forms and Google Sheets and can be played in both online and in-person classes of small…

The authors discuss the status of college algebra and related offerings and their relationship to introductory statistics education. They also describe an innovative approach to college algebra that integrates a significant amount of statistical reasoning and concepts and statistical methods as natural applications of basic ideas that are part of…

Background: While previous research has emphasized the importance of personal beliefs (expectancy-value theories) for achievement-motivated behaviour, it lacks the integration of temporal factors that are also discussed as important drivers of achievement-motivated behaviour. Temporal Motivation Theory (TMT) combines both approaches in a…

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…

Statistics anxiety is experienced by a large proportion of psychology students, even though conducting statistical analyses is a fundamental skill for students to acquire. The research on statistics anxiety has tended to explore either dispositional factors (e.g. personality) or situational factors (e.g. teacher effects). One potential predictor…

As COVID-19 continues to impact various business sectors, university administrators have steadily pushed for all academic units to resume on campus operations and activities; conversely, faculty and students have expressed increased interest in continuing online teaching/learning. We aim to mitigate this "tug-of-war" between…