Using a video presentation on variance and covariance in the teaching of statistics

Abstract

We outline the use and evaluation of a video presentation about variance and covariance developed to motivate students to process the topics and to enhance their skills. We outline the structure and the content of the video presentation and present data of an evaluation study. Students in different subjects who must pass statistics courses (N = 114) participated in an online survey with randomized controlled design and repeated measurement. Results indicate that students who watched the video presentation significantly improved on their skills, compared to a control group reading a textbook section about the same topics. The video presentation was judged as more satisfying and useful for learning than the text. We discuss application scenarios and further teaching implications. Ideally a longitudinal study should investigate effects of continuous learning with video presentations, changes in motivation, anxiety, and attitudes as well as effects for students of different subjects.

The Virtual Teaching in Statistics Course in Higher Education: A Bibliometric Analysis and Systematic Literature Research

“…The reviewed articles suggest that project-based learning holds the potential to enhance statistical learning [21-24, 38, 46-50]. As an illustration [48], examined project-based learning in their study and determined that incorporating videos into statistics lessons could enhance students' scientific and mathematical abilities, spanning from questioning to data analysis and interpretation. Project-based statistics courses boost students' selfassurance and enthusiasm for learning, concurrently fostering research skills [26,51].…”

“…The examined studies offer a diverse range of findings and results that delve deeper into the teaching methods employed in virtual statistics education. For instance, research conducted by Austerschmidt et al [48] investigated the effectiveness of video presentations on variance and covariance, revealing that the use of videos significantly improved students' skills compared to those who solely relied on reading text material. Furthermore, Chik et al [50] addressed the impact of virtual teaching and learning during the pandemic, demonstrating that online teaching methodologies, such as interactive learning through technology, can prove effective even in crisis situations.…”

Automatic Head Count Based on Machine Learning in Intelligent Video Surveillance

“…However, the current monitoring task of video surveillance is often manual operation, and analyzing and searching video often consumes a lot of manpower and material resources. Therefore, it is urgent to realize the intelligence and automation of monitoring, which has very important research value in real life [2][3]. Based on the video image analysis algorithm, accurate and effective statistics of the number of people in the video frame are carried out, and various demand data reports are generated in the background of the system or in the client according to the change trend of the number of people at different times, which can help the staff to obtain instant information and make correct decisions in a limited time.…”