The Use of Technology in Statistics Courses

Abstract

A one semester Calculus-Based undergraduate Statistics course for the engineering student is a service course for most Mathematics departments. The typical student uses this course to gain understanding of how data is analyzed and interpreted. Technology allows a better way to give the tools an engineer needs to understand the concepts and ideas in statistics. This paper will show what has been implemented so that a student is successful in this course and beyond the classroom. The technology that we use is through many different avenues in a course. One way that technology has helped us teach this course is through the delivery of the lectures. We have designed an online course that is as successful and no different as if the student is sitting in a classroom. Another way that we have changed is through the use of statistical software. We have used RStudio as the software of choice. This is a great tool for the engineering student to use for any data analysis. This allows us as instructors also to use real-world problems and relevant application to their majors. Lastly, for larger universities it is important to have coordination among all of the sections of the Calculus based statistics course. We have implemented a course management system and testing center to accommodate the larger sections. These ideas we have successfully implemented into this course which is a Calculus-Based undergraduate statistics course. This course has become a popular course in the past years. Thus we would like to share what we have experienced.

Perceived Statistics Self-Efficacy, Research Anxiety and Research Confidence of Mathematics Pre-Service Teachers in One State University in the Philippines

“…Hence, integrating it to complete statistical tasks boosts confidence. According to Poliak (2019), technology is an efficient instrument for providing individuals with the tools needed to comprehend statistical concepts and ideas. Given that the use of technology in statistics is integrated into all of the respondents' statistics-related subjects, the respondents still perceive themselves as efficacious instead of highly efficacious due to some challenges.…”