The course focuses on developing competence in applying, synthesizing, and evaluating statistics from sources including dissertation, journals, technical reports, and Web sites. With an emphasis on the scholarship of teaching, candidates move from basic to context-driven statistics, applying the fundamental concepts and procedures of descriptive and inferential statistics to real-world applications.
Please click below to view each individual assessment:
Methods Literature Review
Analysis of Data
Final Project
Value of Study Presentation
Video for Value of Study Presentation:
Rationale: This literature review examines research methodology literature relevant to statistical analysis in educational settings, establishing the scholarly foundation for the applied statistical work undertaken in EDTC 810. I selected this artifact because situating statistical methods within their theoretical and disciplinary context is essential for doctoral-level researchers who must justify their methodological choices in dissertation work. This review strengthened my ability to read and critically evaluate quantitative research, a skill I apply when assessing the evidence base for educational technology interventions in my professional practice and doctoral studies.
Rationale: This artifact documents a systematic analysis of educational data using descriptive and inferential statistical methods, demonstrating my competency in applying statistical concepts to real-world research questions. I selected this work because it represents the practical culmination of my statistical training, moving from foundational concepts to the application of methods that will directly support my dissertation research. The ability to analyze and interpret data with accuracy and critical judgment is fundamental to evidence-based educational leadership, and this artifact demonstrates my readiness to engage with the quantitative demands of doctoral scholarship.
Rationale: The EDTC 810 final project, comprising a written paper and professional presentation, synthesizes the statistical knowledge and research skills developed throughout the course into a comprehensive demonstration of doctoral-level competency. I selected this as a signature artifact for the Scholarship and Research domain because it integrates academic writing, statistical analysis, and professional communication in a format that mirrors the demands of dissertation defense and scholarly publication. This work reflects the full scope of my development as a researcher and signals my readiness to contribute original,