TenuredTenure-Track AssistantAssociate Professor Learning Technologies and Performance Systems (LTPS)

Position Description:

The Department of Educational Administration and Human Resource Development in the College of Education and Human Development at Texas A&M University seeks to hire two Assistant/Associate Professors Tenure-Track/Tenure Review Upon Hire Positions in the undergraduate Learning Technologies and Performance Systems (LTPS) with a 9-month academic appointment beginning Fall 2026 within Educational Human Resource Development. We are especially interested in qualified candidates with experience in the academic community through their teaching research and service who have a vision for the field and the role of emerging technologies.

The successful candidate will be expected to:

• Have a workload distribution of (40%) teaching (40%) research and (20%) service.
• Teach undergraduate-level courses core courses or newly designed courses (two per semester) in the LTPS program per semester; develop implement and review effective teaching/learning processes incorporating appropriate methodology technology and other tools; deliver instruction both online and on any of the university campuses. Details on existing Texas A&M University Human Resource Development (HRD) courses are available on the programs website: undergraduate courses in their area of Learning Technologies and Performance Systems.
• Advise undergraduate students in the LTPS undergraduate program.
• Serve on undergraduate committees and service to the department university and the profession.
• Contribute to the development of the profession through participation in national and/or international associations publications and/or other related activities.
• Conduct applied or translational research that is in line with the LTPS programming effort.
• Publish creative and scholarly work in refereed journals appropriate to the faculty members subject area and present research findings at relevant industry meetings events professional meetings or conferences based on your research interests and focus.
• Support academic pursuits in the subject matter area through guest lectures undergraduate student mentorship and student research activities.
• Engage with external groups including state and federal government agencies stakeholder organizations industry and other entities to better understand issues and potential partners in addressing stakeholder needs in the field.
• Seek grants contacts and other revenue sources to advance and sustain programmatic efforts in the subject area.
• Be a member of and engagement in professional organizations and societies.
• Demonstrate collegiality by serving on departmental/unit committees and demonstrating a track record of building effective working relationships across departments agencies and/or colleges. Service includes maintaining appropriate schedules for student access and inquiry; working in partnership with academic advisors on student advising attending scheduled orientation chairing dissertations to completion and participating in institutional service roles such as but not limited to college committees advisory committees student/faculty recruitment and mentoring of new and part-time faculty.

Although this position is focused on undergraduate education opportunities may arise to teach or advise graduate students in the departments related programs depending on the candidates expertise and departmental needs.

Appointment:

This is a full-time nine-month appointment with an anticipated start date of Fall 2026. Salary is competitive and commensurate with qualifications.

Required Knowledge Skills and Abilities:

Candidates must demonstrate:

• Teaching excellence through various instructional formats (in-person online and/or hybrid instruction)
• Discipline expertise and teaching excellence through evaluation by peers department head and/or college dean.
• Yearly progress of professional achievement in teaching research and service.
• Strong interpersonal skills and the ability to work collaboratively with a team of professionals.
• Experience in area of specialization ability to write grant proposals to secure external funding; evidence of publishing in peer-reviewed journals; and participation in professional societies

Required Qualifications

• Applicants for this position must have an earned doctorate in a field closely aligned with learning technologies and performance systems such as Educational Technology Learning Sciences Human Resource Development Instructional Design Information Systems (with an education or workforce development focus) Technology Management or Computational Social Science. Candidates who have completed all Ph.D. requirements except the dissertation (ABD) will be considered provided they demonstrate clear progress toward completion.
• Must show evidence of the potential for developing an outstanding program and indications of strong mentorship and teaching skills are required.
• Must show evidence of publication in top-tier academic journals in areas aligned with learning technologies instructional innovation or performance improvement within educational human development or organizational contexts-consistent with expectations for a tenure-track or tenured faculty member at a research-extensive university.
• Must provide evidence of demonstrated ability to acquire extramural funding.
• Must have a minimum of two years of experience in teaching and teaching-related activities both face-to face and online at the undergraduate and/or graduate level in areas such as Information Systems Instructional Technology Learning Sciences Computational Social Science or Technology Management is required. Teaching experience may include at least one year as a graduate teaching assistant or instructor of record. Teaching-related activities may include designing or revising courses or modules evaluating courses for compliance developing instructional materials and learning activities and integrating AI tools to enhance learning and student engagement.
• Must provide evidence of ability to advise undergraduate students.
• Must provide evidence of clear and innovative research agenda in leveraging artificial intelligence and/or data analytics that will strengthen and advance the LTPS program (nationally and internationally).