Teaching

Teaching Philosophy

My teaching philosophy is grounded in a global, emancipatory approach that cultivates curiosity, critical thinking, and real-world problem-solving. I integrate evidence-based, inquiry-driven strategies to foster active learning and international awareness, utilizing diverse methods such as co-design, experiential learning, guest lectures, and team-based activities to create dynamic, student-centered environments that align with course goals.

Deeply committed to teaching, service, and mentorship, I bring experience in curriculum development, online and in-person instruction, and clinical simulation. In 2020, I received the Outstanding Graduate Student Teaching Award from Sigma Theta Tau International for my role as a Ph.D.-level teaching assistant in an online statistics course. Since then, I have taught over 300 NP and Ph.D. students at Rush College of Nursing in classes such as Health Policy & Finance, Qualitative Methods, and Intermediate Statistics, and co-facilitated interdisciplinary simulations across Nursing, Medicine, and Public Health.

I center inclusivity in my pedagogy. By incorporating global case studies and diverse lived experiences, I aim to broaden students’ perspectives and prepare them to lead with equity in an interconnected world.

Courses Taught

The Research Process: Qualitative Design & Methods (NSG 688)

Semester: Summer 2024; Rush University College of Nursing, Chicago IL

This course will focus on the design, conduct, and dissemination of qualitative research. Emphasis will be on the critical appraisal of qualitative research methodologies, data analysis, and interpretation of findings. Prerequisite: Understanding Scientific Paradigms. Retake Counts for Credit: No. Pass/No Pass Grading Allowed: No. Credit(s): 3.

Health Care Economics, Policy, and Finance (NSG 602)

Semester: Fall 2021 to Present; Rush University College of Nursing, Chicago, IL

This course examines current healthcare policy and economic trends, as well as their impact on financing and care delivery in the United States. Using informatics as a tool, costs associated with specific healthcare delivery systems will be analyzed at the organizational level.

Applied Epidemiology and Biostatistics for Nursing Practice (NSG 522)

Course Lead: Dr. Manju Daniel

Semester: Fall 2022, Fall 2023; Rush University College of Nursing, Chicago, IL

The course emphasizes the use of biostatistical and epidemiological methods to examine the distribution and determinants of health-related states and events. The concepts of disease causation and progression, modes of transmission, prevention, risk reduction, and health promotion are examined. Students learn to measure and manage health data, create data files and data dictionaries, perform descriptive and inferential data analyses and graphic displays, and interpret health statistics. The focus is on critically appraising and translating epidemiological principles and research to provide the foundation for evidence-based practice.

Intermediate Statistical Methods (N8020)

Course Lead: Dr. Chelsea Deroche (In Memoriam)

Semester: Fall 2020; University of Missouri-Columbia, School of Nursing

The primary goal of this course was to build on students’ prior knowledge in biostatistics, with particular emphasis on topics and applications relevant to the health sciences arena. The course addressed the computation, application, and interpretation of statistical results. Detailed coverage of generalized linear models - interpreting model parameters and evaluating goodness-of-fit. Analysis of variance (ANOVA) designs examined include the one-way ANOVA, factorial ANOVA, repeated measures ANOVA, and analysis of covariance (ANCOVA). Pair-wise comparisons and adjustments for multiple testing will be discussed and illustrated. Generalized linear model concepts include multiple logistic, Poisson, and ordinal regression. Various multilevel model structures will be introduced, including nested designs and fixed and random effects.

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