Teaching Philosophy: Work in partnership with students to foster an inclusive learning and teaching environment that respects diverse perspectives and promotes a safe space to critically evaluate research and ideas. I make a commitment to building an inclusive, supportive space where my students can thrive. Pedagogically, I strive to make sure that the teaching materials are accessible and effective for students at various levels. Students are able to learn at their own pace, and I, as a teacher, will provide customized and timely feedback to support their learning.
Year: 2022 Summer
Where: University of Southern California
Course: Understanding Social Science Research (undergraduate-level)
Responsibilities: Designed, developed, and instructed a class introducing basic social science concepts, methodology, statistics, and data analysis using R for beginners. Both quantitative and qualitative research methods are covered. Also included are literature review, research design, research execution, quantitative and qualitative data analysis, and reporting of findings.
Selected Students' Feedback:
"Learned various aspects of how to conduct, propose, and analyze research. All the content was instructed in a very efficient way."
"Mingxuan is very hardworking. She definitely knows what she is teaching. She was very understanding as well in terms of accommodation for time differences. A very encouraging professor! =)"
*Email me at mliu@usc.edu to check the full copy of teaching evaluation.
Standalone course syllabus created by Mingxuan.
Year: 2022 Spring
Where: University of Southern California
Course: Quantitative Research Methods in Communication (A compulsory course for Ph.D. students at USC Annenberg)
Responsibilities: Led lab training on R for first-year Ph.D. students at USC Annenberg once per week, designed lab exercises and homework, and graded students’ weekly R assignments. Topics covered: data screening and pre-processing, parameter estimation, testing assumptions, t-test, ANOVA, correlation and inter-coder reliability, multiple regression and moderation, and logistic regression
Selected Students' Feedback:
"Mingxuan was a phenomenal teaching assistant. Timely, prepared, knowledgeable, considerate, and dedicated are all words to describe Mingxuan's role in supporting the Quantitative Research Methods in Communication course. The support I am speaking of goes even more specific to the process of R programming, statistical testing, and more––using a glut of statistical packages. To all of these areas, Mingxuan showed extreme competence and resilience in aiding a Ph.D. cohort of primarily qualitative researchers to an absolute level of comfort by the end of the course. I sing Mingxuan's praises."
*Email me at mliu@usc.edu to check the full copy of the teaching evaluation.
Full List of Teaching Experience
2023, Spring Lab Instructor for Dr. Robin Stevens (USC)
Undergraduate course: Empirical Research in Communication
Tutored survey design and Qualtrics programming. Students were able to design and program surveys in Qualtrics and complete data analysis in SPSS.
Held two lab sessions on SPSS per week. Topics covered: descriptive statistics, t-test, chi-square, correlation, regression.
TA sessions received high evaluations from students.
2022, Summer Standalone Instructor (USC)
Undergraduate course: Understanding Social Science Research
Designed, developed, and instructed a class introducing basic social science concepts, methodology, statistics, and data analysis using R for beginners
2022, Spring Lab Instructor for Dr. Lindsay Young (USC)
Ph.D. compulsory course: Quantitative Research Methods in Communication
Led lab training on R for first-year Ph.D. students at USC Annenberg once per week, designed lab exercises and homework, and graded students’ weekly homework. Topics covered: data screening and pre-processing, parameter estimation, testing assumptions, t-test, ANOVA, correlation and inter-coder reliability, multiple regression and moderation, and logistic regression
2021, Spring Lab Instructor for Dr. Dmitri Williams (USC)
Graduate course: Culture and Video Game Studies
Led data analysis training sessions (R and SPSS) once per week, guided students’ research design and academic paper writing and graded students’ presentations and final papers
2020-22, Fall Teaching Assistant for Dr. Mathew Curtis and Dr. Courtney Pade (USC)
Graduate course: Uses of Communication Research
Tutored four research methods for Master’s students in the Communication Management program at USC Annenberg: interview, content analysis, survey, and experiment. Provided feedback for academic papers
2020, Spring Teaching Assistant for Dr. Mike Ananny (USC)
Undergraduate course: Communication and Technology
Designed class activities and facilitated class discussions. Graded quizzes and papers
2019, Fall Teaching Assistant for Dr. Carmen Lee (USC)
Undergraduate course: Empirical Research in Communication
Led class discussions. Tutored statistics and data analysis methods using SPSS. Graded students’ final papers
2019, Spring Teaching Assistant for Dr. Carlos Godoy (USC)
Undergraduate course: Understanding Social Science Research
Designed class activities and facilitated class discussions
2017 - 2018 Discussion Instructor for Dr. Alisa Shubb (UCD)
Undergraduate course: Public Speaking
Led discussions on public speaking skills twice per week, graded students’ papers and speeches
2017, Fall Teaching Assistant for Dr. Jingwen Zhang (UCD)
Undergraduate course: Persuasive Theories
Drafted midterm and final exams, created study guides, graded and provided feedback to students’ papers
2017, Spring Teaching Assistant for Dr. Steven Brunner (UCD)
Undergraduate course: Interpersonal Communication
Provided feedback on students’ performance and exams
2016, Winter Teaching Assistant for Dr. Narine Yegiyan (UCD)
Undergraduate course: Communication and Cognition
Designed in-class activities to promote learning