Teaching Experience
Spring 2022–present
  • Instructor - EDP 5003: Psychological Learning Theories
    This course will provide a current and comprehensive overview of research and theory related to human learning. The course will emphasize major concepts of learning theory but will also cover related topics including motivation, development, classroom management, technology, and social justice. The course will underscore the relationship between theory, research, and practice.
Spring 2022–present
  • Instructor - EDP 6103: Research Methods and Statistics II
    In this course, students will learn fundamental concepts associated with qualitative, quantitative, and mixed methods research design. Through guided analysis and application of these concepts, students will learn to interpret and utilize research results for professional decision making. A key goal of this course is for students to become critical consumers of social and behavioral research and to be able to apply this knowledge in their future professional settings.
Fall 2021–present
  • Instructor - EDP 6103: Research Methods and Statistics I
    This course introduces basic concepts of social and behavioral research, including both qualitative and quantitative paradigms but emphasizing elements of quantitative design and analysis. Students will learn fundamental statistical concepts used in social and behavioral research as well as how statistical concepts relate to principles of research design and data collection, interpretation, and implications. A key goal of this course is for students to become critical consumers of social and behavioral research and to be able to apply this knowledge in their future professional settings.
Fall 2020–present
  • Instructor - EDP 5603: Psychology of Human Motivation
    This course is designed to introduce students to theories of human motivation and their applications in educational settings. We explore the primary theories currently in use to describe, explain, and predict education-related motivation. Along the way, we examine the historical context in which the theories evolved, and the key players associated with each theory. We also apply these theories to the issues that practitioners face in their current and anticipated work environments.
Fall 2018
  • Teaching Assistant - Introduction to Quantitative Research Methods in Education
    This class covers the basic concepts of quantitative methods and the statistical methods most commonly used in education research. The first half of the course introduces sampling, descriptive statistics and the inferential statistical methods of confidence intervals and significance tests, applied to means and proportions. The second half introduces bivariate methods (emphasizing contingency table analysis, correlation, bivariate regression, and analysis of variance) and experimental methods for supporting causal inference.
Spring 2018
  • Instructor - Introductory Statistics Workshop
    This workshop is a friendly introduction to statistical reasoning and Stata and emphasizes how statistics can help understand problems in education. The course topics are selected to better prepare students for EDPT 652 (Multiple Regression) by refreshing relevant math skills and statistical concepts. Topics include numerical and graphical summaries of data, data acquisition, probability, inference, hypothesis testing, and correlation. We will apply statistical concepts to data and reach conclusions about real-world problems. We will also familiarize ourselves with Stata and learn some important commands along the way.
Fall 2017
  • Teaching Assistant - Issues in Human Motivation
    This course is designed to introduce students to theories of human motivation and their applications in educational settings. We explore the primary theories currently in use to describe, explain, and predict education-related motivation. Along the way, we examine the historical context in which the theories evolved, and the key players associated with each theory. We also apply these theories to the issues that practitioners face in their current and anticipated work environments.
Spring 2017
  • Teaching Assistant - Learning and Instruction 
    This course is designed to examine foundational as well as advanced topics in human thinking, reasoning, and learning as it applies in pk-12, higher education, informal learning environments, and workplace learning. The course focuses on understanding change, from individual growth, development, and knowledge change, to how institutional, organizational, and cultural change can be viewed from the lens of learning as a process.
Fall 2016
  • Teaching Assistant - Issues in Human Motivation
    This course is designed to introduce students to theories of human motivation and their applications in educational settings. We explore the primary theories currently in use to describe, explain, and predict education-related motivation. Along the way, we examine the historical context in which the theories evolved, and the key players associated with each theory. We also apply these theories to the issues that practitioners face in their current and anticipated work environments.
2012-2015
  • High School Instructor
    AGBU Manoukian High School, ​Pasadena, CA
    Physics / Precalculus / Geometry
2010-­2012
  • High School Instructor
    ​City Arts Technology HS, San Francisco, CA
    Physics / Precalculus / Academic Advisor
2009­-2010
  • Graduate Student Instructor
    University of California, Berkeley, CA
    Physics for Future Presidents. (Undergraduate course)
2009­-2012
  • High School Instructor
    ​University of California, Berkeley, CA
    Algebra II Instructor. Academic Talent Development Program.
2006-­2008
  • High School Instructor
    Mapleton Early College, Denver, CO
    Geometry / Algebra / Math Support / Academic Advisor
2005-­2006
  • Substitute Teacher
    Denver Public Schools, ​Denver, CO
2004-­2005
  • Teaching Assistant
    University of Colorado, Boulder, CO
    General Physics (Undergraduate course)