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In Computer Science (CS) education, instructors use office hours for one-on-one help-seeking. Prior work has shown that traditional in-person office hours may be underutilized. In response many instructors are adding or transitioning to virtual office hours. Our research focuses on comparing in-person and online office hours to investigate differences between performance, interaction time, and the characteristics of the students who utilize in-person and virtual office hours. We analyze a rich dataset covering two semesters of a CS2 course which used in-person office hours in Fall 2019 and virtual office hours in Fall 2020. Our data covers students' use of office hours, the nature of their questions, and the time spent receiving help as well as demographic and attitude data. Our results show no relationship between student's attendance in office hours and class performance. However we found that female students attended office hours more frequently, as did students with a fixed mindset in computing, and those with weaker skills in transferring theory to practice. We also found that students with low confidence in or low enjoyment toward CS were more active in virtual office hours. Finally, we observed a significant correlation between students attending virtual office hours and an increased interest in CS study; while students attending in-person office hours tend to show an increase in their growth mindset.
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Student Perceptions of the Complete Online Transition of Two CS Courses in Response to the COVID-19 Pandemic
Student perceptions of the complete online transition of two CS courses in response to the COVID-19 pandemic Due to the COVID-19 pandemic, universities across the globe switched from traditional Face-to-Face (F2F) course delivery to completely online. Our university declared during our Spring break that students would not return to campus, and that all courses must be delivered fully online starting two weeks later. This was challenging to both students and instructors. In this evidence-based practice paper, we present results of end-of-semester student surveys from two Spring 2020 CS courses: a programming intensive CS2 course, and a senior theory course in Formal Languages and Automata (FLA). Students indicated course components they perceived as most beneficial to their learning, before and then after the online transition, and preferences for each regarding online vs. F2F. By comparing student reactions across courses, we gain insights on which components are easily adapted to online delivery, and which require further innovation. COVID was unfortunate, but gave a rare opportunity to compare students’ reflections on F2F instruction with online instructional materials for half a semester vs. entirely online delivery of the same course during the second half. The circumstances are unique, but we were able to acquire insights for future instruction. Some course components were perceived to be more useful either before or after the transition, and preferences were not the same in the two courses, possibly due to differences in the courses. Students in both courses found prerecorded asynchronous lectures significantly less useful than in-person lectures. For CS2, online office hours were significantly less useful than in-person office hours, but we found no significant difference in FLA. CS2 students felt less supported by their instructor after the online transition, but no significant difference was indicated by FLA students. FLA students found unproctored online exams offered through Canvas more stressful than in-person proctored exams, but the opposite was indicated by CS2 students. CS2 students indicated that visual materials from an eTextbook were more useful to them after going online than before, but FLA students indicated no significant difference. Overall, students in FLA significantly preferred the traditional F2F version of the course, while no significant difference was detected for CS2 students. We did not find significant effects from gender on the preference of one mode over the other. A serendipitous outcome was learning that some changes forced by circumstance should be considered for long term adoption. Offering online lab sessions and online exams where the questions are primarily multiple choice are possible candidates. However, we found that students need to feel the presence of their instructor to feel properly supported. To determine what course components need further improvement before transitioning to fully online mode, we computed a logistic regression model. The dependent variable is the student's preference for F2F or fully online. The independent variables are the course components before and after the online transition. For both courses, in-person lectures were a significant factor negatively affecting students' preferences of the fully online mode. Similarly, for CS2, in-person labs and in-person office hours were significant factors pushing students’ preferences toward F2F mode.
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- Award ID(s):
- 1740765
- PAR ID:
- 10294501
- Date Published:
- Journal Name:
- 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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