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Tenure-Track: Assistant Professor - Learning Technologies and Performance Systems (LTPS)


Educational Administration and Human Development

Location
College Station, TX
Open Date
8/22/2024
Position ID
145039
Description

The Department of Educational Administration and Human Resource Development, College of Education and Human Development at Texas A&M University invites applications for two full-time, Assistant Professors, Tenure-Track Positions in undergraduate Learning Technologies and Performance Systems (LTPS) with a 9-month academic appointment beginning September 1, 2025. Applicants will be considered for the faculty title of Assistant Professor in the Learning Technologies and Performance Systems (LTPS) program. 

 

We are especially interested in qualified candidates with extensive experience within the academic community through their teaching, research, and service who have a vision for the program and the role of emerging technologies. The successful candidate will be expected to: 

  • Expectations of responsibilities related to position (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 HRD courses are available on the program’s website: https://eahr.tamu.edu/academics/
  • Develop 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.
  • Maintain a record of excellence in teaching pertinent to LTPS.
  • Contribute to the development of the profession through participation in national and/or international associations, publications, and/or other related activities.
  • Continue personal growth and leadership influence within the profession, keep current with the field, and broaden knowledge and expertise.
  • 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 member’s subject area, and present research findings at relevant industry meetings, professional meetings, or conferences, based on your research appointment.
  • 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.
  • 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.

Appointment: 

This is a full-time, nine-month tenure-track position with an anticipated September 2025 start date. Salary will be competitive and commensurate with the candidate’s qualifications and experience.

Qualifications

Required Knowledge, Skills, and Abilities:

Demonstrated ability or evidence for promise in teaching excellence through various instructional formats (in-person, online, and hybrid instruction)

  • Demonstrated discipline expertise and show clear promise of teaching excellence as evidenced in evaluation by peers, department head, and school dean.
  • Documented 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:

  • Earned doctorate in Informational Systems, Instructional Technology, Learning Science, Computational Social Science, Technology Management or related field.
  • Evidence of the potential for developing and outstanding program and indications of strong mentorship and teaching skills are required.
  • Evidence of publication in top-tier academic journals in Informational Systems, Instructional Technology, Learning Science, Computational Social Science, Technology Management, and/or closely related fields, consistent with a Tenure-Track faculty member at a research-extensive university.
  • Demonstrated ability to acquire extramural funding.
  • At least one year of experience (as graduate teaching assistant or instructor of record) teaching (face-to-face and online) Informational Systems, Instructional Technology, Learning Science, Computational Social Science, Technology Management, and/or closely related fields at the undergraduate level.
  • At least three years of effective teaching (face-to-face and online) for undergraduate and undergraduate courses related to Informational Systems, Instructional Technology, Learning Science, Computational Social Science, Technology Management, and/or closely related fields.
  • Teaching experience at the undergraduate level in computer systems relevant to the field.
  • Ability to advise undergraduate students.
  • Research agenda in leveraging artificial intelligence and/or data analytics.
  • Clear and innovative research agenda that will strengthen and advance the LTPS program (nationally and internationally).
Application Instructions

Applicants should submit the following through the Interfolio system: apply.interfolio.com/151751

  • Submit a cover letter addressing qualifications for the position.
  • Submit a current curriculum vita.
  • Submit a personal statement to include philosophy and plans for teaching, research, and service, as applicable.
  • Submit three letters of recommendation. (Include: In what capacity you know them, assessment of scholarship, outstanding publications, scholarly contributions’ impact on the discipline, potential to be a leading figure in the discipline, trajectory & standing in relation to others in their peer group & additional comments.)

Application Review:

Review of applications will begin October 1, 2024, and continue until the position is filled.

 

For additional information, please contact Dr. Seung Won Yoon, Search Committee Chair, Department of Educational Administration and Human Resource Development, Texas A&M University at swyoon@tamu.edu or by contacting Marie Shelfer, Senior Administrative Coordinator II at shelfer@tamu.edu or by phone 979-845-2717.

 

All positions are security-sensitive. Applicants are subject to a criminal background check, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal background check.

Equal Opportunity/Affirmative Action/Veterans/Disability Employer.

The University is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and therefore has a Dual Career Program.