Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.
May be repeated indefinitely.
A variable topic seminar on selected problems in educational leadership. Activities are designed to improve skill in planning, data-informed decision making, organizing, communicating, evaluating, negotiating, and problem solving will be provided as appropriate. Educational innovation and processes of implementing change may be analyzed. May be repeated up to a maximum of nine credits.
Includes research on a practical problem in educational leadership. Only only to students with at least one semester of graduate work in education. May be repeated to a maximum of nine credits.
Critical examination of representative research studies in leadership and related fields. Emphasis upon the students' refining and delimiting an appropriate problem in educational administration and supervision, generating a design appropriate to the problem and selecting appropriate techniques of analysis.
Theories and concepts of human development, learning, and motivation are presented and applied to interpreting and explaining human behavior and interaction in relation to teaching across the developmental span from early childhood to adulthood. A field experience in a school or other educational agency is a required and basic part of the course.
TEACHING EXCEPTIONAL LEARNERS IN THE ELEMENTARY CLASSROOM
An exploration of topic areas such as conflict mediation, crisis management, communication skills, student development theories, and wellness designed to provide new Resident Life Advisors with the skills and knowledge essential for being successful.
This course is rooted in the conceptual understanding of statistics and covers applications of statistical and graphical methods for educational and evaluation data. Basic descriptive statistics, correlation, normal distributions and hypothesis testing will be covered. An emphasis is placed on exploratory data analysis and interpretation of results within the broad contexts of education and evaluation. Statistical literacy exercises will be used for comprehension and application of materials. In addition, applications of statistical software will be demonstrated.
The course covers applications of statistical and graphical methods for educational and evaluation data. Topics to be covered include descriptive statistics, correlation, normal distributions, hypothesis testing, regression, ANOVA, and power. General goals include: developing an understanding of statistical concepts, improving reasoning and critical thinking skills, and to prepare for more advanced quantitative courses. Students will gain valuable statistical computing skills via stats software.
