Education

1. EDD702: Methods of Research
–FALL 2023–
Professor: Dr. Dana Onayemi
dana.onayemi@judson.edu
Course Dates: September 7th
– November 1st
Course Format: Hybrid (semi-asyhnchronous online plus residency)
Includes Residency Workshop on September 29th
or 30th
Judson Mission Statement
Judson is an evangelical Christian university that represents the Church at work in higher
education, equipping students to be fully developed, responsible persons who glorify God
by the quality of their personal relationships, their work, and their citizenship within the
community, the nation and the world. Through a broadly based education in the liberal arts,
sciences and professions, the university enables its students to acquire ideas and concepts
that sharpen their insights, develop skills appropriate to their career goals, and develop the
skills and commitment for lifelong learning. The Judson community experience challenges
graduates to be decisive leaders and active participants in church and society, articulate
proponents of Biblical Christianity, persuasive advocates for the sovereignty of God over all
life, and effective ambassadors for Christ.
Catalog Description (Revised for EDD in Computer Science Candidates)
This course will introduce doctoral candidates to the major foundational research
methodologies: quantitative, qualitative, mixed methodology. During this course,
candidates will identify and begin to develop individual research interests that will
ultimately lead to their dissertation topics. Candidates will generate their dissertation
research question(s) and draft a dissertation research plan in order to practically answer
the research question(s) posed. (3 credit hours)

2. Doctor of Education in Computer Science Program Outcomes
Graduates of the Doctor of Education in Computer Science Program will . . .
❖ Deepen understanding of a specific niche in the Computer Science field.
❖ Demonstrate scholarly proficiency in conducting, critiquing, synthesizing, and applying
research in the field of Computer Science.
❖ Foster growth alongside other Computer Science practitioners to deepen understanding
of the field, encourage engagement, and promote collaboration.
❖ Develop expertise for vision casting and informed decision-making.
❖ Apply exceptional skills when writing for a variety of audiences and purposes.
❖ Synthesize the process of preparing and organizing content for delivery that engages
audiences.
Course Objectives
By the end of the course, doctoral candidates will . . .
❖ Identify and develop individual areas of research interest.
❖ Document the need and significance of research in the field.
❖ Demonstrate understanding for different research methodologies and develop deep
knowledge of methods selected for the dissertation/capstone study.
❖ Apply knowledge of research methods to collaboratively discuss research design and
refine research questions.
Course Requirements
● Attendance—It is expected that candidates will attend all class sessions including
active participation on eLearn. Per the Attendance Policy candidates sign when they
are admitted to this doctoral program, one absence is allowed in a course if
necessitated; however, candidates must keep in mind that a 95% attendance rate
(overall) is required in order to graduate from this program. In essence, no more than
ten absences may occur in total throughout the entire program. Two absences from
the same course may result in the final course grade being lowered by one full
letter grade.
● eLearn–All course lessons and assignments will be delivered using Judson’s eLearn
site. Please make sure you know how to submit your work; ask for guidance before the
work is due. Active eLearn participation is how your attendance is tracked for online
participation.

3. ● Readings—Candidates are expected to thoroughly complete all assigned readings for
the course as embedded into the eLearn module lessons. Candidates should read
additional scholarly articles to grow research knowledge and skills.
● Assignments—All assignments must be completed by the due date as indicated. Late
assignments will be penalized 10% of the total point value per day. Arrangements to
submit late work must be made with the instructor. Computer errors, printer
difficulties, etc., will not excuse a late assignment. All assignments must be
completed in order to pass the course.
● Written Work—It is expected that formal written assignments reflect the highest
standards of research. Clarity of expression and proper use of the conventions of
Standard American English will be considered when grading assignments.
● Professional Disposition—In all dealings with Judson University faculty and with
peers in this program, candidates are expected to conduct themselves in a
professional manner. This includes the respectful and courteous use of email and
voice mail messaging systems.
● Academic Dishonesty/Plagiarism —Your dissertation must add value to the existing
research while properly citing sources for information that are not your own.
Plagiarism is a serious matter and can result in a failing grade for the course
and/or removal from the program. The university policy is outlined on the last two
pages of this syllabus.
● Email—Candidates signed an agreement when they were admitted to this doctoral
program that they would check their Judson email accounts regularly and that they
would accept full responsibility for difficulties arising from failure to check these
accounts. Please honor this agreement.
● Syllabus—The professors reserve the right to make necessary changes to the
syllabus; if alterations are made, they commit to informing the candidates in as fair
and as timely a manner as possible.
● Special Consideration—Judson University is committed to making reasonable
accommodations to assist individuals with disabilities in reaching their academic
potential. If you have a disability which may impact your performance, attendance, or
grades in this class and are requesting accommodations, you must contact Heather
Johnson our Dean for Student Academic Support Services, in the Student Success
Center, located in the Lindner Tower –847-628-1556.

4. MODULE 1: Research Interest Exploration
Module Summary
In this module, you will embark on a journey of self-discovery and exploration as you delve into
the crucial task of identifying and selecting a research interest that resonates with your passion
and the evolving landscape of computer science.
Module Objectives
❖ Introduction to the importance of selecting a research interest.
❖ Learn strategies for identifying personal research passions and interests.
❖ Explore current trends and gaps in the computer science field.
❖ Brainstorm and refine potential research topics.
❖ Find inspiration and guidance in selecting a research focus.
Module Lessons & Assignments
○ Lesson #1: Unveiling Your Research Passion: The Quest Begins [10 points]
○ Lesson #2: Exploring Computer Science Research [10 points]
○ Forum Discussion #1: Finding Your Research Niche [20 points]
MODULE 2: Research Significance and Need
Module Summary
In this module, you will embark on a journey to understand the vital role that research plays in
addressing real-world challenges, identifying gaps in knowledge, and effectively communicating
the significance of your work to diverse audiences.
Module Objectives
❖ Understand the significance of addressing real-world problems in research.
❖ Identify gaps or issues in the field that require investigation.
❖ Analyze existing literature and research to highlight areas in need of attention.
❖ Apply techniques for communicating the importance of research to a broader audience.
❖ Consider ethical considerations in selecting research topics and justifying their
significance.
Module Lessons & Assignments
○ Lesson #1: Research Problem Recognition and Literature Review [10 points]
○ Lesson #2: Ethical Considerations and Effective Communication [10 points]
○ Forum Discussion #1: Real-World Research and Ethical Considerations [20 points]

5. MODULE 3: Research Methodologies & Design
Module Summary
In this module, you'll embark on a comprehensive exploration of research methodologies,
equipping you with the knowledge and skills needed to navigate various approaches, make
informed choices, and apply practical techniques effectively.
Module Objectives
❖ In-depth exploration of the chosen research methodology for the program.
❖ Understand the strengths, limitations, and appropriateness of different methodologies.
❖ Apply practical guidance on data collection techniques, data analysis, and interpretation.
Module Lessons & Assignments
○ Lesson #1: Methodology Foundations [10 points]
○ Lesson #2: Practical Research Implementation [10 points]
○ Forum Discussion #1: Selecting the “Right” Methodology [20 points]
In Person Residency Workshops
Workshop Overview
The in-person workshops are designed to be immersive experiences that propels your journey as
a distinguished researcher in your chosen field. Throughout the workshops, you will engage in
dynamic activities and insightful discussions, guided by a faculty member, to refine and elevate
your research pursuits.
Workshop Activities:
❖ Introduction to Workshop Objectives: Overview of the workshop's purpose and goals.
❖ Group Discussions: Work in groups to discuss their proposed research topics,
methodologies, and research questions. Encourage peer feedback and constructive
critique.
❖ Expert Panels: Meet faculty members with expertise in different research methodologies
to host panels and answer questions from students.
❖ Mock Research Proposal Presentations: Each student presents their mock research
proposal to the class, followed by Q&A sessions to further refine the ideas.
❖ Collaborative Brainstorming: Organize a session where students collaborate to
brainstorm potential improvements or variations on each other's research ideas and
methodologies.
❖ Faculty Consultations: Offer individual consultations with faculty mentors to discuss
research plans and receive personalized guidance.