Assistant Professor/Associate Professor

System Identification Number:

Posting Origination:

Learning Technologies (133300)

College of Information

Assistant Professor/Associate Professor

Job Summary/Basic Function:
The Department of Learning Technologies at the University of North Texas in Denton is recruiting for an Assistant/Associate Professor, full-time, tenure track faculty position. This faculty will teach core and elective courses in LT's doctoral program.

As the textbook, one-size-fits-all model fades, there is a growing recognition that there finally is an opportunity to provide truly a personalized learning experience to each and every learner in K-12, post-secondary, adult and career and technical areas. What is being learned is dependent on what a learner already knows, and how a learner learns is dependent on learner strategies and pedagogical strategies. Personalized learning, learning that truly adapts to each and every learner, requires that decisions about the what and the how are made by a learner in concert with an instruction delivery mechanism. Except for those exploring the world of gaming/VR/AR, virtually all of the educational start-ups, funded by venture capital, angel investors, etc., are focusing on the area of personalized learning systems.
The faculty in the Department of Learning Technologies have historically brought an interdisciplinary/multidisciplinary approach to their scholarship. Consistent with that tradition then, we are seeking a faculty member who can work in the interdisciplinary/multidisciplinary field of adaptive learning technologies, where the design, development and evaluation of systems that can deliver personalized learning will require an understanding of learning analytics/data science, psychology/sociology, curricula and digital media, and computer science/artificial intelligence.

The new faculty will play a critical role in supporting the departments' expanding Distributed PhD program, as we anticipate that there will be an increasing demand from incoming students for research and training in the emerging area of personalized learning systems. Expanding a sustaining a first- class doctoral program is essential to maintaining the goal of continuing to be a Carnegie Tier I research University.

Normal responsibilities associated with this position includes two courses or equivalent service or research each long semester, serving on department and college committees, and engaging actively in scholarly efforts including publishing, research and seeking external funding. Each faculty member is expected to supervised graduate students and maintain an up-to-date summary in the university's faculty information system.

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, family status, genetic information, citizenship 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 and takes remedial action when appropriate.
The University of North Texas System also takes actions to prevent retaliation against individuals who oppose a discriminatory practice, file a charge, or testify, assist or participate in an investigative proceeding or hearing.

Minimum Qualifications:
PhD in Instructional Technology or a closely related field. Strong publication record and communication skills.

Preferred Qualifications:
Master's degree in Computer Science or related discipline. Previous teaching and grant experience. Previous mentoring of doctoral students.

Area of Specialty:
Adaptive Learning Technologies and Analytics

Position Type:

Tenure Status:
Tenure Track

Appointment Basis:
9 Months

Pay Frequency:

Non-Tenured Appointment Term:
No Response

Closing Date:
Open Until Search Closed

Review of Applications Begins:

Required Applicant Documents:
Curriculum Vita
Cover Letter
Sample Publication 1


Similar jobs

Similar jobs