Doctor of Education in Instructional Design (EdD-ID)

This foundational course will introduce you to the concepts and practices of advanced graduate study. You will examine concepts and expectations of advanced graduate study and academic integrity as well as investigate best practices of scholarship and research. You will explore university resources and supports associated with student success, including technologies for learning and research. You will also evaluate the program process and requirements for success. Finally, you will advocate for self-care and reflection during your studies.

Academic writing is at the heart of scholarly writing. How you explore and navigate your topic of interest is both a personal and professional matter. In this course, you will integrate effective research and writing skills, and evaluate standards of academic writing, honesty, and integrity. Literature and writing are closely related, so this course also offers you a first chance to examine the elements of conceptual and theoretical frameworks and critique the role of supporting literature and inquiry with conceptual and theoretical frameworks. Finally, you will synthesize the frameworks commonly used in educational research.

This course will provide application of the topics covered in previous courses for use in design and development projects. Students will reflect on professional growth in the instructional design program and will compile relevant theory to make design choices and justify chosen design models. Students will specify project management processes and produce media-based portfolio supported by theory and practice in instructional design.

This course explores the various components of project management and establishes best practices in the field of instructional design. Students will examine the role of key stakeholders in the project management team and will identify optimal communication strategies for all stakeholders. Students will examine all stages of project management including formulating a project plan and implementation strategy, creating a process to monitor progress and maintain quality control, and evaluate the efficacy of the completed project.

This course will explore the various considerations and challenges to developing culturally relevant and inclusive pedagogical practices in design projects. Students will examine various laws, populations, and responsibilities related to inclusion in instructional design and will evaluate instructional design models and frameworks that work best for these practices. Students will recommend media and assistive technology for use in instructional design projects.

This course explores the design and appropriate use of interactive media in current and future instructional and training solutions. Students will evaluate delivery systems for interactive media and utilize design methods based on audience and learning context. Students will explore gaming theory and the use of inclusionary practices in designing interactive media.

This course will explore various models of instructional design. Students will evaluate instructional design models using an evaluation method that will validate the use of the models for future educational trends. Students will generate research-based recommendations for evaluating instructional and training solutions and develop strategies that address resistance to these solutions.

This course explores the current best practices and the future of instructional design. Students will examine instructional solutions and recommend procedures for collaboration projects that are based on relevant assessment and evaluation data. Students will produce media-rich learning assets that are appropriate for specific design projects.

This course offers foundational knowledge to become a critical consumer of statistical-based research literature. The emphasis will be on understanding non-inferential and inferential statistical concepts, the conventions of quantitative data analysis, interpretation, and inferences from statistical results. Statistical computations will be completed using statistical software applications for quantitative data analysis. The course culminates in a synthesis project to demonstrate statistical skills and aligned with APA guidelines for presentation of statistical results.

In this introductory research course, you will explore the underpinnings of the research process, examine research paradigms, and investigate theoretical and practical foundations of qualitative and quantitative research methodologies used within educational research. You will identify criteria for the development of a quality research study that is ethical, accurate, comprehensive, cohesive, and aligned. Specific course topics will involve the ethics of conducting research; data collection and analysis techniques; and issues of feasibility, trustworthiness, validity, reliability, generalizability or transferability, and rigor. This course is intended to familiarize you with concepts and skills associated with conducting theoretical and applied research.

This course offers foundational knowledge to become a critical consumer of statistical- based research literature as well as develop the necessary skillset for non-inferential quantitative analyses. The emphasis will be on understanding multivariate data, non-inferential and inferential statistical concepts, the conventions of quantitative data analysis, interpretation and critical inferences from statistical results. Statistical computations will be completed using statistical software applications for quantitative data analysis. The course culminates in a synthesis project to demonstrate statistical skills and aligned with APA guidelines for presentation of statistical results.

This course focuses on qualitative research methodology and designs and the methods used to collect and analyze data in educational research. You will examine the principles of qualitative research and explore commonly used designs (also referred to as qualitative traditions or genres) with a focus on application and feasibility. Qualitative data collection and analysis methods will be examined for their suitability with regard to the research design selected. Alignment between qualitative designs and research methods, issues of trustworthiness pertaining to qualitative research, and the role and responsibilities of the qualitative researcher will also be explored.

This course explores the quantitative research methodology and associated designs and methods. You will examine paradigmatic perspectives along with the tenets and conventions of quantitative research. This examination of designs and methods will include topics such as feasibility, validity, reliability, variable operationalization, inferential designs, and analytic software applications used within the quantitative research paradigm. You will also explore the components of aligned and coherent quantitative research designs that support meaningful research within the field of education.

This course builds on a foundational understanding of qualitative designs and measurements to focus on analyses of the data. The course takes you deeper into the skills and techniques necessary to ensure the appropriate analyses of qualitative data, including integrating relevant frameworks, verifying trustworthiness of the findings, and selecting suitable methods to present the analyses and findings.

You will learn advanced statistical principles and how to apply them to quantitative research. You will be provided an overview of advanced statistical concepts used in empirical research, including inferential analyses. Advanced computations will be performed using SPSS. The focus involves helping you build independent scholarly skills with an emphasis on understanding multivariate data; the use, comprehension, and evaluation of sophisticated statistical concepts; and presentation of statistical results.

The doctoral comprehensive assessment is your opportunity to demonstrate your preparation for entering the dissertation phase as a doctoral candidate. You will synthesize discipline-specific content with research designs and methods as you create a prospectus for a problem of applied practice within an educational context. This prospectus will likely become the foundation of your dissertation. Note that you will take this course only after all foundation, specialization, and research courses have been completed.

In this 12-week course, you will complete all relevant subsections of Section 1: Foundation. You will use your school-specific template and guidance from your chair to determine which subsections apply to your individual work. Section 1 must be completed and approved by your committee in order to pass the course and move forward. If you do not receive committee approval of Section 1, you will be able to take up to three supplemental 8-week courses to finalize and gain approval of Section 1.

In this 12-week course, you will compose all relevant subsections of Section 2: Methodology and Design and complete your proposal. Both of these components must be approved by your committee in order to pass the course and move forward. You will use your school-specific template and guidance from your chair to determine which subsections apply to your individual work. If you do not receive approval of Section 2 and the complete proposal, you will be able to take up to three 8-week supplementary courses to finalize and gain approval of Section 2 and your completed proposal.

In this course, you will prepare, submit, and obtain a determination from the Institutional Review Board (IRB) application before collecting data and, if applicable, executing your project modeling. You will also submit documentation that you have closed data collection. If you are still collecting data or modeling your project at the end of this 12-week course, you will be able to take up to three supplemental 8-week courses to complete the required components.

In this 12-week course, you will complete all relevant subsections of Section 3: Findings, Implications, and Recommendations, finalize your manuscript, and disseminate your findings. You will use your school-specific template and guidance from your chair to determine which subsections apply to your individual work. The final manuscript, which includes Section 3 and the dissemination of findings, must be approved by your committee in order to pass the course and be eligible to graduate. If you do not receive committee approval of all components, you will be able to take up to three supplemental 8-week courses to finalize these requirements and be eligible to graduate.