The Master of Science degree in Learning Technologies at the University of North Texas gives you the foundation in learning and educational technologies required to create, deliver and enhance learning experiences in a variety of contexts.
Our rigorous and accredited curriculum explores human learning and cognition, instructional design, educational tools and technologies, and computers in education and how they influence learning and instruction. Armed with this knowledge and associated skills, you'll be prepared for dynamic roles in instructional design and technology in academic and corporate settings.
Innovative course delivery and degree tracks Course work can be completed in a traditional classroom environment or as part of an accelerated online program. The AOP option allows you to earn a degree in as few as 14 months. More information about this option is available at our website .
You can pursue degree tracks in instructional systems, instructional systems technology, instructional systems design, and teaching and learning with technology. Some tracks have additional specializations.
The following program certificates, which can be completed in 12 credit hours, are also available:
Our program is enhanced by nationally and internationally recognized faculty members who have expertise in learning technologies and other related fields.
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.
This track provides theoretical and research foundations, tools and experience focused on instructional systems. You're immersed in creating, managing and evaluating instructional systems.
Competencies are demonstrated through course work on using different systems, technologies and media in various applications.
You'll be prepared to work in educational and instructional technology areas as developers of instructional design and media projects, processes and outcomes in corporate, higher education, K-20 and other instructional and training environments. The track is provided in both normal and accelerated delivery.
This area expands on the Instructional Systems track by focusing on systems and technology used in the delivery of learning. You'll be prepared to work in the same areas as the IS track as well as become directors, managers or developers of learning systems technology.
Competencies are demonstrated through course work on different systems, technologies and media in various applications. Graduates work in corporate, higher education, K-20 and other instructional and training environments.
This track involves the practice of maximizing the effectiveness, efficiency and appeal of instruction and other learning experiences. The process consists of determining the learner's current state and needs, defining the end goal of instruction and creating instruction to assist in the transition.
The process is informed by pedagogically-tested theories of learning. You'll be prepared to work as instructional systems designers in academic or corporate settings.
This area is designed for educational professionals serving in administrative, teaching or research positions in a variety of educational settings, especially positions in K-20 and higher education. It enables professionals to select and evaluate appropriate technology tools based on the student's needs and curricula.
The track focuses on theoretical foundations, technology skills, technology integration strategies for teaching and learning, active research, innovations in technology and paradigms for effective online delivery assessment.
The degree emphasizes application-oriented technology skills that are valuable for independent study and research, classroom teaching and personal and professional projects.
To help you pursue your master's degree, you'll have access to the:
The E. Bruce Street Award brings nationally recognized individuals to campus to work with students and faculty members. It also allows for the exchange of ideas among scholars at UNT, other school systems in Texas and other universities across the country.
You'll need to meet the admission requirements for the graduate school and the following set of program requirements:
You must file a degree plan within the first 12 credit hours after being admitted to the program. A copy of your approved degree plan will be sent to you for documentation and reference purposes.
Any deviations from your approved degree plan will require an official degree plan change. The degree requirements are:
All courses for the Instructional Systems, Instructional Systems Technology, Instructional System Design and Teaching and Learning With Technology tracks are available online. For specific information about course requirements, visit our website.
Information about financial assistance programs is available at 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.Greg Jones , Associate Professor; Ph.D., University of Texas at Austin. 3-D virtual environments; games and simulations; cyber infrastructures; web authoring; distance delivery of instruction.
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; foundational learning and design theory.
Department of Learning Technologies
Discovery Park, Room G150