Classroom Teaching

What I Teach

As part of Education Studies, I have had the privilege to teach many courses across all of our programs. These programs include the undergraduate major in Education Sciences (B.S.), our undergraduate minors in education including the CalTeach program, Teacher Education Program (M.Ed.), Ed.D (JDP) in Educational Leadership, and Ph.D. in Education.

Courses taught over the last three years include;

• EDS103 Introduction to Quantitative Methods in Education Research

  • I developed this course in meet the research requirement of the Education Sciences (B.S.) major.

  • Introduction to quantitative fundamentals of statistical inference in education research. Emphasis on applying statistical concepts, selecting appropriate techniques, using techniques, and examining assumptions to interpret analytic results and summarize findings. Hands-on practice will be integral to the course.

• EDS203 Technology, Teaching, and Learning

  • This course will review current literature on effective applications of technology in the classroom. Students will also become fluent in the use of productivity tools, presentation software, and web development for teaching and learning; critique software relevant to their area of teaching; and develop an educational activity based on their review of the literature that harnesses the power of technology.

• EDS204 Technology and Professional Assessment

  • Advanced techniques for using network-based resources for teaching and learning will be introduced. Students will review relevant research on advanced technologies related to assessment of professional performance and student achievement. Students will present a web-based professional Teaching Performance Assessment Portfolio that reflects teaching performance during their student teaching or internship field experience.

• EDS288A Advanced Research and Evaluation Methods A—Quantitative Methods

  • This first course in a three-course series focuses on the importance of data interpretation. Students hone the requisite research skills to conduct dissertation research as it pertains to gathering, collecting, analyzing, and reporting quantitative data in a meaningful way. This course provides an overview of data use in educational systems as well as an introduction to survey design and inferential statistics. Students create a research agenda to develop skills needed in proposal writing.

• EDS288C Advanced Research and Evaluation Methods C—Quantitative Methods

  • This course focuses on analyzing quantitative data. Students will deepen knowledge and skill on data collection and analysis and use data to prepare and report findings. Students will also explore other research methods of their choosing and will develop and conduct a small pilot study relevant to dissertation topics.

• EDS255 Advanced Quantitative Data Analysis

  • In this course, students will extend their knowledge of statistical methods based on the general linear model, including correlation, regression, analysis of variance, and analysis of covariance to address questions that emerge in educational and social science research. Students will address a variety of substantive research questions by analyzing data and fitting increasingly sophisticated analytic models.