UNT Home | Graduate Studies | College of Information | Applied Technology & Performance Improvement
The Applied Technology and Performance Improvement doctoral program at the University of North Texas builds on your core knowledge and allows you to design a program that reflects your interest.
Administered by the Department of Learning Technologies, the Doctor of Philosophy degree in ATPI prepares you for careers in university-level teaching and research or corporate training and development. It also helps you develop research skills that encompass various methodologies.
The degree program is supported by a strong minor that emphasizes and expands leadership perspectives. Job opportunities for Ph.D. graduates include:
Courses are offered in different styles to accommodate your work obligations or particular learning style. Several courses are available online, and others may require a combination of online and campus- based instruction.
Faculty members mentor you in all phases of your program and professional development. As a doctoral student, you'll enroll in at least 3 credit hours of a practicum, field problem or internship. You're also expected to participate in research and development activities conducted through the College of Information.
UNT provides a wide variety of services exclusively to graduate students. The Graduate Student Writing Support office can help you with writing, and the Center for Interdisciplinary Research offers assistance with statistical research.
The Toulouse Graduate School ® offers several professional development workshops, including a Dissertation Boot Camp. Many of the workshops are available online for your convenience.
Several laboratories and research centers provide you the resources and facilities needed for in-depth study in information and technology.
The Center for Knowledge Solutions empowers scholars and practitioners to make evidence-based decisions that optimize learning and performance systems to improve organizational knowledge. The center's unique focus is learning and performance across disciplines and professions. Its mission is to generate, integrate and disseminate knowledge solutions through learning and performance innovation for business and education.
The Advanced Research Lab serves doctoral students and faculty members in educational computing, instructional technology and technology-based learning systems.
The Institute for the Integration of Technology into Teaching and Learning conducts research and implements best practices in teaching and learning with technology. Its instruments and online data collection systems have gathered data from thousands of educators in recent years.
The Texas Center for Educational Technology facilitates and conducts research; develops and evaluates collaborations among industry, education and educational communities; and serves as a focal point where instructional technology can be created and adapted for integration into the educational programs.
You'll need to meet the requirements for the graduate school and the following program requirements:
Because of the program's competitive nature, achieving a particular score on generalized tests doesn't guarantee admission. You may be allowed to enroll for one semester without GRE scores. International students whose native language is not English may substitute UNT's Graduate Preparation Course for their GRE verbal scores. More information is available at the doctorate website.
Your Ph.D. should make a significant contribution to the knowledge base in learning technology and performance improvement.
In addition, after completing the degree requirements, you must submit a performance portfolio and a dissertation as proof of your writing ability.
The residency requirement can be completed by enrolling in 9 credit hours in each of two contiguous semesters. An optional method is to take 18 credit hours during three consecutive semesters.
We offer several financial awards to help you pursue your graduate degree. These include competitive scholarships, grants and teaching and research assistantships.
Visit the grad school website for more information on these opportunities. Information about other financial assistance programs is on the financial aid website.
Jeff M. Allen , Professor and Director of the Center for Knowledge Solutions; Ph.D., Pennsylvania State University. Technology planning; organizational development; systems theory; integration of career-academic education; team assessment; evaluation.
Demetria Ennis-Cole , Associate Professor; Ph.D., Kansas State University. Computer education instruction and administration; systems development; user training.
Jonathan Gratch , Lecturer; Ph.D., University of North Texas. Emerging technologies; games and simulations; technology integration; multimedia production for education.
Gerald A. Knezek , Regents Professor and Director of the Institute for the Integration of Technology into Teaching and Learning; Ph.D., University of Hawaii. Technology integration; telecommunications; educational research and measurement.
Lin Lin , Associate Professor; Ed.D., Columbia University. Instructional technology; human computer interaction; online/ hybrid teaching and learning; mind, brain and education.
Cathleen Norris , Regents Professor; Ph.D., University of North Texas. Mobile technologies; computer-based education; human factors; teacher professional development.
Laura Pasquini , Lecturer; Ph.D., University of North Texas. Corporate training, evaluation; research.
Peggy Rouh , Lecturer; Ph.D., University of North Texas. Corporate training, course design; computer-based instruction.
Ji Hoon Song , Assistant Professor; Ph.D., Pennsylvania State University. Learning organization; human knowledge creation; blended knowledge management system; organizational behavior oriented performance; theory building research; measurement theory.
J. Michael Spector , Professor; Ph.D., University of Texas at Austin. Complex learning; program evaluation; simulation- based learning.
Tandra Tyler-Wood , Professor; Ph.D., University of North Carolina. Assessing and determining appropriate curriculum for special needs populations
Scott Warren , Associate Professor; Ph.D., Indiana University. Digital learning environments; games and simulations to support literacy and learning; technology-supported research methods.
Jerry L. Wircenski , Regents Professor; Ph.D., Ohio State University. Special populations; interactive instruction; delivery strategies; courseware development; evaluation.
Michelle Wircenski , Professor; Ed.D., University at Buffalo. Special populations; teaching/learning styles; diversity.
Robert Wright , Lecturer; Ph.D., University of North Texas. Multimedia production for technology applications; technology-based learning environments; student-instructor rapport in distributed learning systems; and foundational learning and design theory.
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