Lisa Dierker, Abdiasis Daauud
Wesleyan University
Introductory courses play a vital role in higher education and offer immense potential for dynamic learning experiences. By integrating data projects and technical skills in to general education courses, students can actively engage with disciplinary content through problem-solving, projects, inquiry, and design. To seize this exciting opportunity, we will present emerging work from the Digital Intro initiative, a National Science Foundation funded project aimed at transforming the highest enrollment course in the U.S., Introduction to Psychology, into an empowering, project-based curriculum. The initiative's goal is to enhance students' academic journeys by helping them 1) develop data skills early in their education; 2) pursue further coursework in this area; and 3) plan for careers in the modern data-driven world.
Alyssa Counsell, Udi Alter, Carmen Dang, Zachary Kunicki
Toronto Metropolitan University
The biggest difference in statistical training from previous decades is the increased use of software. Assessing the value of software to statistical learning demands appropriate, valid, and reliable measures. In this presentation, we introduce the Value of Software to Statistical Learning (VSSL) scale. Specifically, we report on the psychometric properties of the VSSL scale in an American undergraduate student sample who used SPSS. This brief 7-item measure had strong psychometric support to assess students' perceived value of software in an educational setting. It can be used to assess changes in perceptions over a course or examine perceptions of software value across different types of statistics courses or with different software packages.
APA's all-digital courseware that immerses students and personalizes learning
—now available for Research Methods and Statistics courses.