EdD/PhD, Education Technology Leadership Specialization

Study Format Online, On Campus

This doctoral program is offerred 100% online and through cohorts on campus.

Program Length 61-67 credits*

 

*INTERNATIONAL STUDENTS: In addition to the base program curriculum listed below, international students attending face-to-face classes on the CUC campus are required to take the Seminar in Higher Education, a 3-credit course.

Curriculum

Doctoral Specialization: Education Technology

Technology Leadership in Organizations 

Technology Department Management 

Data Management 

Strategic Planning & Evaluation of Technology Programs 

Theories in Educational Technology for Teaching & Learning 

Design of Learning Environments 

Contemporary Issues in Technology & Instructional Design 

K-12 Education Strand: Education Technology Emphasis

Issues in Technology Design and Management 

Technology Policy Analysis and Development 

Select one:

School/District Improvement Using Data Analysis 

This course addresses school district and building leadership roles in creating an infrastructure and systems that focus on school district improvement. Particular emphasis is on school improvement as it relates to accountability demonstrated through assessment design, data gathering and analysis. Candidates will learn how to utilize data to improve curriculum, instruction, multiple forms of assessment, and incorporate technology to meet the needs of the 21st Century learner.

Curriculum Theory and Design

Exploration and analysis of curriculum theory and design for educational programs, early childhood through high school. Analysis, trends and current practices in the light of national and international models and educational programs. Study of curriculum theory in relationship to the processes of curriculum design, development, implementation and evaluation.

 

Corporate/Higher Education Strand: Education Technology Emphasis

Project Management for Instructional Design

Students will explore project management as a framework for the instructional design development process, focusing on needs assessments, selection of a specific design model, implementation steps and evaluation methods.

Human-Computer Interactions for Learning Systems 

Students will learn the design and development principles of digital applications to increase learning, productivity and support performance. The students will also explore multimedia learning theory as a framework for instructional design to facilitate the human‐computer interaction.

Design of Learning Environments

This course addresses the design of technology-enhanced learning environments. The application of various designs and their guiding principles will be examined and critiqued. Examples include online, blended, flipped, one-to-one, informal, collaborative, and non-traditional learning settings.

 

Foundations/Philosophy/Ethics

Philosophy of Scientific Knowledge (PhD only) 

This course provides an orientation to the nature, uses and limitations of science with the aim of achieving and understanding of the variety of approaches to research design and developing conceptual frameworks. With regard to the metatheory of knowledge, particular attention will be paid to the following topics: the relationship between theory and observations, the role of the researcher’s values in knowledge generation, how the research conceptualizes the relationship between researcher and subjects, the standards that are used to appraise theories, the theory of reality (ontology) and of how to know that reality (epistemology) that underlies critical theories, and how different methods of data gathering and data analysis influence the generation of scientific knowledge

Philosophical and Theoretical Foundations of Leadership (EdD only) 

Study of the philosophical and theoretical foundations of education and leadership, including analysis of the aims and goals of education, processes of attainment, content and curriculum, and the socialization function of education, schooling and complex organizations. Develop an understanding of the intersections between theory/philosophy, ethical perspectives and the development of policy, practice and institutions.  

Organizational Change 

Application of change theory to large and small organizations. Leadership strategies for successful change implementation.

Policy Analysis 

Educational policy-making at the macro (national, regional and state) and micro (local and institutional) levels. Selected educational policies.

Ethics for Educational Leaders

Ethical theories and practice of school district leadership.

 

Research and Statistics for the EdD, Practitioner Track

Research Design

Principles of research theory, methods, inquiry, problem formulation, data collection, literature searches, and ethical considerations. Emphasis on how to design a doctoral-level research study.

Quantitative Research

An introduction to quantitative analysis of data; including data coding and entry of data.  Statistical software will be used to explore descriptive and inferential statistics, using both non-parametric and initial parametric techniques.

Qualitative Research

An examination and application of qualitative research approaches with a focus on research design, the role of the researcher, data collection and analysis, and writing from a qualitative perspective.

 

Research and Statistics for the PhD, Researcher Track

Research Design

Principles of research theory, methods, inquiry, problem formulation, data collection, literature searches, and ethical considerations. Emphasis on how to design a doctoral-level research study.

Quantitative Research

An introduction to quantitative analysis of data; including data coding and entry of data.  Statistical software will be used to explore descriptive and inferential statistics, using both non-parametric and initial parametric techniques.

Qualitative Research

An examination and application of qualitative research approaches with a focus on research design, the role of the researcher, data collection and analysis, and writing from a qualitative perspective.

Mixed Methods Research 

This course explores the theory, design, and application of mixed methods research.

Survey Research 

This course introduces students to survey and instrument development including issues related to operationalizing variables, survey construction, sampling, coding, analysis, and evaluating the reliability and validity of survey research methods.

Advanced Topics in Statistics 

An introduction to advanced statistical concepts including multivariate analysis, linear models, hierarchical linear models, factor analysis, and data management. Students will use statistical software packages and will learn to write basic syntax for custom analysis. Prerequisite: Quantitative Research or Quantitative Analysis.

Advanced Topics in Qualitative Analysis 

Prepares students to utilize naturalistic inquiry in their own research, most immediately, the dissertation experience. Students will be able to reflect on choices of inquiry paradigms, the goodness of fit between the problem and the approach chosen to explore it, the selection of appropriate instruments, and the role of the writer in the presentation of findings.

 

Comprehensive Exam and Dissertation

  • Comprehensive Exam
  • Dissertation
  • Dissertation Supervision

 

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