Directories
Gallaudet University
Who We Are
Our Work
Overview
News & Stories
Dec 8, 2025
Dec 1, 2025
Upcoming Events
December 10, 2025
December 13, 2025
University Wide Events
No Communication Compromises
Areas of Study
Schools
Programs
Changing the world
Research
Community & Innovation
Research Experiences & Services
Our Global Presence
Global at Home
Global Learning For All
Global Engagement
Your Journey Starts Here
Admissions
Financial Aid
Explore Our Campus
Connect
Discover
Influence
Popular Keywords
Requirements
Opportunities
Program Outcomes
Accreditation
Job Outlook
News
Faculty
FAQs
Contact
GU
/
Ph.D. in Accessible Human-Centered Computing and...
Email Us
Summary of Requirements
Year 1
AHC 605
This is a graduate-level introduction to statistics for human-computer interaction. Topics include principles of inferential statistics, hypothesis testing, and experimental design; data handling, description, and visualization; probability; confidence intervals and t-tests; chi-square test, analysis of variance, and multiple comparisons; and simple linear regression. Students will learn to apply these tools to real-world data using R, and how to interpret and communicate the results of their analyses. No prior statistics or programming knowledge is required.
Year 2
AHC 601 or permission of the instructor
AHC 601
permission of the instructor
This seminar addresses professional writing and presentation skills needed by many doctoral level professionals in education. Students analyze and evaluate grant proposals, published articles, and presentations for structure, word choice, voice, and content. They construct short manuscripts that adhere to the American Psychological Association style format. In addition, students prepare media-enhanced presentations for professional audiences, including parent groups, teachers, school administrators, and professional conferences.
EDU 805 or equivalent
This seminar is first in a series and provides a forum for doctoral students to explore and discuss beliefs and practices related to teaching undergraduate and graduate university education courses; topics include course design, course preparation and presentation, use of appropriate technology and media, organizing effective participatory learning, inclusive and equitable practices, developing and using effecting teaching strategies and standards-based assessment techniques, and mentoring for reflective teaching/learning. In addition to seminars, the doctoral student will complete a minimum of 20 (twenty) hours of field experience consisting of classroom observation and conferencing with university faculty.
Admission to a Gallaudet University doctoral program or permission of the instructor.
The main purpose of the Advanced Research Design I course is to facilitate student's integration of theory, research design, and measurement issues with knowledge of statistical procedures needed to plan, accomplish, and evaluate qualitative and quantitative research projects in speech, language and hearing sciences. Students will develop their ability to locate, review, and critically evaluate research studies. The course will cover the proper format for research proposals and reports, measurement issues, and sampling. In addition, the student is introduced to quantitative and qualitative approaches to research. The student will develop critical analysis abilities using the criteria of validity and reliability as explicated in experimental design principles. Specifically, the course will focus on (1) Identifying and formulating research questions, (2) Completing a literature search and literature review, (3) non-experiment (qualitative) research design (case studies, survey research), (3) experimental research and levels of evidence, (4) research participants and sampling, (5) data analysis: describing different types of data, (6) data analysis: inferential statistics, (7) research outcomes.
Matriculation as a HSLS Ph.D. student, completion of the qualifying examination or permission of the department.
This course is intended to develop professional competencies in three areas: (a) knowledge and use of the following approaches to research: experimental, quasiexperimental, causal-comparative, qualitative, and correlational research, and (b) develop knowledge of experimental research design options, (c) development of formal research proposals. This course will address major concepts, issues, and techniques of quantitative research methods.
Matriculation as a HSLS Ph.D. student and completion of HSL 888 or equivalent
Year 3 +
Fill out our inquiry form for an Admissions Counselor to contact you.
Create an account to start Your Applications.