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Associate Professor in Learning Technologies

  • 510191
  • Denton, Texas, United States
  • Faculty

Title: Associate Professor in Learning Technologies

Employee Classification: Assoc Professor

Campus: University of North Texas

Division: UNT-Provost

SubDivision-Department: UNT-College of Information

Department: UNT-Learning Technologies-133300

Job Location: Denton

Salary: Varies based on assignment

FTE: 1.00

Retirement Eligibility: ORP Eligible

About Us - Values Overview:

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.
 
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an inclusive environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.
 
Learn more about the UNT System and how we live our values at www.UNTSystem.edu.

Department Summary

The Department of Learning Technologies, housed in the College of Information at UNT, serves as a dynamic center for advancing the study and application of learning technologies. UNT, recognized as a Tier One research university by the Carnegie Classification, offers 114 bachelor’s, 87 master’s, and 39 doctoral programs, many of which have earned national and international recognition.

The College of Information, founded in 2008 by the Texas Higher Education Coordinating Board, is a proud member of the iSchools and iCaucus. The college fosters a learner-centered environment, connecting information, people/learners, organizations, languages, learning, design, and technology.

As one of four departments within the College of Information, the Department of Learning Technologies offers a Bachelor of Applied Science (BAS), a Master of Science (MS), and a Doctor of Philosophy (PhD) in Learning Technologies, along with a Graduate Academic Certificate in Instructional Design & Technology. Our graduate programs attract professionals from diverse fields, including K-12 and higher education, e-learning, instructional design and development, learning technologies, human resources, workforce leadership and human performance improvement, and organizational development.

Our faculty are renowned for their interdisciplinary, multidisciplinary, and transdisciplinary approaches to teaching and research, with a distinguished record of scholarship and funding. Since 2000, the department has secured over $20 million in research funding through the Texas Center for Educational Technology (TCET) and the Institution for the Integration of Technology into Teaching and Learning (IITTL), which has greatly enhanced the department’s reputation and research impact.

For more information about our degrees, courses, and faculty research, please visit https://lt.unt.edu/.

UNT Community
Denton, Texas, is a vibrant, culturally rich community known for its artistic spirit and diverse events that bring people together year-round. At the heart of Denton is the historic downtown square, featuring unique local restaurants, charming boutiques, and art galleries in a welcoming atmosphere. The city’s calendar is packed with events that showcase its unique character, from the famous Denton Arts & Jazz Festival, which draws music lovers from across the region, to the seasonal community market, where local artisans and farmers connect with residents every weekend. Denton also embraces cultural celebrations such as the Día de los Muertos Festival, creating a spirited blend of tradition and innovation. This lively community makes Denton an inspiring place to work, live, and engage.

UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.

Position Overview

The Department of Learning Technologies at the University of North Texas (UNT) invites applications for a nine-month tenure-track faculty position at the rank of Associate Professor, starting in Fall 2025. A typical tenure-track faculty member’s workload includes 40% Research, 40% Teaching, and 20% Service, with a 2-2 teaching load each fall and spring, and optional summer teaching opportunities.

We seek candidates holding a PhD degree in Learning Design and Technologies, Instructional Systems Technology/Design, Learning Sciences, or a related field that complements our current faculty’s strengths. Ideal candidates will contribute to UNT’s commitment to advancing educational technology through innovative instructional design and technology integration. Responsibilities include teaching undergraduate and graduate courses in various formats (online, hybrid, and in-person) and advising doctoral students, with an emphasis on the following areas:

• Real-world experience in conducting needs analysis, instructional design, development and implementation, program management and evaluation, and digital transformation leadership
• Institutional/organizational experience applying instructional design principles to design and evaluate digital transformation initiatives or programs
• Curriculum design and teaching experience in both undergraduate and graduate courses in instructional design and learning technologies
• Application of instructional design theories and learning sciences to create engaging, technology-enhanced learning environments
• Designing and evaluation of emerging technologies (e.g., AI, adaptive learning systems, learning analytics) across various educational or training contexts, including K-12, higher education, and corporate training

Successful candidates should demonstrate a solid understanding of learning theories and a strong foundation in instructional design and development. They are expected to conduct research in areas such as needs analysis, instructional design, implementation, program management and evaluation, and digital transformation leadership. Additionally, candidates should have a proven record of high-quality research, success in securing grants (or active grant seeking experience), and expertise in applying advanced technologies across diverse educational and training contexts.

Minimum Qualifications

• Doctorate in learning design and technologies or a related field (e.g., learning sciences, human-computer interaction, information sciences)
• Strong understanding of learning theories and a solid foundation in instructional design and development
• Advanced expertise with instructional design tools
• A proven record of high-quality publications, with grant-seeking and funding experience
• Research competence to conduct empirical studies independently and collaboratively in the field of instructional design and learning technologies
• Curriculum design and teaching experience at both undergraduate and graduate levels in instructional design and learning technologies
• Ability to stay current with evolving technology skills for teaching and research in the fast-paced digital landscape

Preferred Qualifications

 

Required License/Registration/Certifications

 

Work Schedule:

varies based on assignment

Driving University Vehicle:

No

Security Sensitive:

This is a Security Sensitive Position.

Special Instructions:

Review of applications will begin immediately and will continue until the search is closed. To apply, submit a two-page letter of interest that encompasses your teaching and research, a curriculum vitae, and contact information for three references to https://careers.untsystem.edu/home.

For more information about joining us as faculty in the department of Learning Technologies, please visit our website https://lt.unt.edu/. You may direct specific inquiries to the Search Committee Chair: Dr. Scott Warren at Scott.Warren@unt.edu.

Benefits:

For information regarding our Benefits, click here.

EEO Statement:

The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, facilities and employment practices. The University of North Texas System immediately investigates complaints of discrimination and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.

 

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