Teaching History
I am dedicated and focused on teaching undergraduate education within the field of psychology.
I frame my courses on a knowledge base and incorporate a mixture of class discussions, lectures, and active learning activities.
Instructor of Record at the
University of New Hampshire
Psychology as a behavioral science: its theoretical and applied aspects. Includes research methods, behavioral neuroscience, sensation and perception, cognition, learning, development, personality, psychopathology, and social psychology. To experience the nature of psychological research actively, students have an opportunity to participate in a variety of studies as part of a laboratory experience
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Fall 2023, 2024; Spring 2024; Summer 2024, 2025
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50-60 students per course
Principles derived from the experimental study of human and animal learning and their theoretical integration. Respondent and operant conditioning. Reinforcement and punishment, stimulus control, choice and preference, conditioned reinforcement.
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Spring 2025
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50-60 students per course
The scientific study of how individuals, groups, organizations, and cultures influence and are influenced by their social environment. This course provides an overview of classic and contemporary work in this field and explores topics such as aggression, attitude formation and change, social thinking, individual and group influence, prejudice, friendships and romantic relationships, leadership, social influence, altruism, and/or conformity.
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Fall 2025
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30 students per course
Teaching Assistant at the University of New Hampshire
Introduction to Psychology (two sections)
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Fall 2022
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230 students per section
Statistics in Psychology (two sections)
Design, statistical analysis, and decision-making in psychological research. Probability, hypothesis-testing, and confidence intervals. Conceptualization, computation, interpretation, and typical applications for exploratory data analysis (including measures of central tendency, variability), t-tests, correlations, bivariate regression, one-way analysis of variance, and chi-square. Introduction to computer methods of computation.
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Spring 2023
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40 students per section
Research Methods in Psychology (two sections)
Research design, including experimental and correlation design; internal versus external validity; measurement; writing a research report; graphic and statistical methods for summarizing data; sampling; and special problems such as experimenter effects, reactivity of measurement, and others. The use of hypothesis testing and data analysis in research.
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Spring 2022
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25 students per section
Abnormal Behavior
This course provides an introduction to the historical and current views on abnormal behavior and psychological disorders. Students distinguish between the major psychological disorders, including symptoms, causes, consequences, and treatments. They also identify and understand current approaches to diagnoses based on diagnostic criteria from the DSM-5, and analyze disorders and their treatments from various theoretical approaches, including psychodynamic, behavioral, cognitive, humanistic-existential, and biological.
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Spring 2022
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60 students
Fundamentals of Neuroscience and Behavior (three sections)
This laboratory class complements the material being taught in NSB 502. The laboratory will focus on behavioral and cognitive neuroscience experiments. Students will learn about neuroanatomy and neuroscience research methods, including experimental design, data collection, statistical analysis, data interpretation, and manuscript preparation, through conducting actual experiments. Students will write research reports describing their experiments and will receive some basic computer programming and research ethics training.
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Spring 2023
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17 students per section
Research Methodology and Statistics I & II (Graduate level)
A consideration of research techniques and problems of methodology in psychology. The first semester stresses the principles of statistical inference, correlational approaches, and their interrelatedness in design. Topics considered include probability theory, linear regression, function-free prediction, the theory underlying statistical inference, parametric and nonparametric tests of significance, and principles of analysis of variance. The second semester extends the correlational approach to the techniques and methodology of multiple regression and considers the appropriate use and theoretical bases of complex designs.
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Fall 2022; Spring 2023
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5 students per course