2024 ASEE Annual Conference & Exposition

There has been a comprehensive shift in our instruction modalities in the last few years. Instructors modified and improvised their course materials and methods of teaching to accommodate the effects of the pandemic, which brought the world to a standstill. This study investigates how in-person instruction influences student performance in a scenario where all instructional materials are provided online. Since the pandemic, the instruction modes have transitioned rapidly from in-person to online to hybrid to in-person again.
Students have been exposed to the benefits of online modes, rendering coming to class rather pointless.
In this study, we will observe how students' presence in the class changed over time during the 15-week semester. Data is collected from Fall 2022, Spring 2023, and Fall 2023 STEM courses. The data will include their attendance and performance in exams, labs, and visualization exercises. This study is a timely need because it will focus on the Impact of student presence in a STEM classroom on students' performances.
For this year-long study, we will use different statistical techniques, such as the Pearson correlation and regression analysis, to understand the relationship between students' attendance in class and their performance. Repeated measures of ANOVA will be conducted to understand the trends of students' class attendance and performance. The full paper will describe the results of this analysis and provide evidence of the Impact of in-person attendance on students' performance. The full paper will discuss the results with implications, limitations, and future direction of the study.