Factors Influencing Student Motivations and Experiences in STEM Course Office Hours

Office hours are a part of nearly all science, technology, engineering, and mathematics (STEM) courses, with many academic and affective benefits for students who attend. However, despite their ubiquity, there has only been limited past work examining the sources of knowledge students draw from to shape their perceptions of office hours, as well as the factors that influence students' experiences in STEM course office hours. Here, we conducted semistructured interviews with 20 students enrolled in an introductory STEM course to investigate what motivates students to attend STEM course office hours, the factors that shape their experiences in office hours, and what influenced their conceptions of office hours. We situate our work using expectancy value theory and racialized opportunity cost, identifying that students' experiences with office hours in high school and how an instructor describes office hours in a class and on the syllabus influence students' expectancies and perceived value and costs for attending office hours. In addition, we find that most students are motivated by the need for help with course content, though some students report a higher perceived cost of attending office hours when they have lower self-efficacy in the course. We conclude by providing recommendations for instructors to encourage student engagement with office hours.

Authors

Institutions

Publication Details

Journal
CBE—Life Sciences Education
Published
2025-05-23
DOI
https://doi.org/10.1187/cbe.24-08-0214
Citations
2
Primary Topic
Innovative Teaching Methods
Type
article
Field-Weighted Citation Impact
17.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Influencing Student Motivations and Experiences in STEM Course Office Hours

Jeremy Hsu, Gabriella R. Dauber
2 citations
CBE—Life Sciences Education
Innovative Teaching Methods
17.85
article

Factors Influencing Student Motivations and Experiences in STEM Course Office Hours

Jeremy Hsu, Gabriella R. Dauber
article en
2 citations

Abstract

Office hours are a part of nearly all science, technology, engineering, and mathematics (STEM) courses, with many academic and affective benefits for students who attend. However, despite their ubiquity, there has only been limited past work examining the sources of knowledge students draw from to shape their perceptions of office hours, as well as the factors that influence students' experiences in STEM course office hours. Here, we conducted semistructured interviews with 20 students enrolled in an introductory STEM course to investigate what motivates students to attend STEM course office hours, the factors that shape their experiences in office hours, and what influenced their conceptions of office hours. We situate our work using expectancy value theory and racialized opportunity cost, identifying that students' experiences with office hours in high school and how an instructor describes office hours in a class and on the syllabus influence students' expectancies and perceived value and costs for attending office hours. In addition, we find that most students are motivated by the need for help with course content, though some students report a higher perceived cost of attending office hours when they have lower self-efficacy in the course. We conclude by providing recommendations for instructors to encourage student engagement with office hours.

CBE—Life Sciences EducationVol. 24(2)
Chapman University (US)
Quality Education
Openalex Percentile: Top 1%
Innovative Teaching Methods
17.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.