Assistant Professor of Learning Technologies

Title: Assistant Professor of Learning Technologies

Employee Classification: Asst 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 experience. An offer of employment for this position will be made contingent upon available funding.

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 Assistant Professor, starting in August 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 with a Ph.D. in Learning Design and Technologies, Instructional Systems 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:

• Have solid foundational knowledge of educational technology, instructional design, and learning theories.
• Design and evaluation of AI-powered learning environments that personalize instruction using machine learning, Natural-Language Processing (NLP) and/or generative AI.
• Expertise in generative AI and machine learning to develop AI-powered educational tools, including precise automated content generation and intelligent learning agents.
• Expertise in applying learning theories and human-centered design to create adaptive, interactive AI-informed learning experiences that enhance engagement and motivation.
• Expertise in educational data mining or learning analytics to analyze education data (e.g., student performance, learning outcomes predictions, and instructional decision-making). Expertise in Natural-Language Processing (NLP), social network analysis, or deep learning is a plus.
• Expertise in visualizing learning analytics and educational data mining models using Python (Plotly, Dash) or R (Shiny).
• Experience in responsible AI practices in education, including bias mitigation, data privacy, transparency, and fairness to ensure trustworthy AI applications as well as ethical decision-making in diverse educational contexts.

Successful candidates are expected to conduct research in one or more of the following areas:
AI-powered educational tools, AI-enhanced adaptive and interactive learning experiences, educational data mining, learning analytics, predictive modeling, NLP for education, and interactive dashboard development to visualize student learning patterns and AI-driven insights as well as trustworthy and ethical AI practices across various learning contexts (e.g., K-12, higher education, corporate training, informal learning).

Minimum Qualifications

• Hold a doctorate in Learning Design and Technologies or an equivalent doctoral degree in a related field (e.g., Learning Sciences, Learning Analytics, Educational Data Mining, Computer Science) by August 2025.
• Demonstrate a strong understanding of learning theories and solid foundation of instructional design and development
• Ability to stay current with evolving technology skills for teaching and research to keep pace with the rapidly changing digital landscape
• Demonstrate advanced expertise in designing, developing, and integrating instructional design tools
• Demonstrate a track record of peer-reviewed research presentations and publications
• Possess research competence to conduct empirical research projects independently and collaboratively with colleagues and doctoral students
• Demonstrate commitment to seeking grant funding
• Possess curriculum design expertise and exemplary teaching experience at both undergraduate and graduate levels in advanced learning technologies
The successful candidate will exhibit the ability to produce high-quality research, seek grant funding, and integrate advanced technologies in diverse learning settings.

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:

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. 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.

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 Co-Chairs: Dr.Yuan-Hsuan Lee and Dr. Youngjin Lee.

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, domestic violence, dating violence and stalking) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, or veteran status in its application, employment practices and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints of discrimination, harassment and related retaliation 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.