Hybrid Assistant Professor of Blended and Personalized Learning bei Texas Tech University
Texas Tech University · Lubbock, Vereinigte Staaten Von Amerika · Hybrid
- Junior
- Optionales Büro in Lubbock
Position Description
Travel Required
Major/Essential Functions
Responsibilities of the successful candidate include but are not limited to:
- Developing and teaching graduate-level courses in personalized and blended learning, and fostering graduate students' conceptual understanding and measurable skills - specifically in online and blended formats using the TTU Canvas Learning Management System
- Advising graduate certificate and master’s degree seeking students as well as PhD students; including chairing and serving as a member of doctoral and master’s committees
- Maintaining and building relationships and partnerships with school districts, state agencies and non-profits
- Developing and nurturing new partnerships in community-engaged scholarship (research, teaching, and/or service), and partnering with schools and/or professional organizations and agencies to ensure meaningful, collaborative research, teaching, and practice
- Maintaining a line of research and publications that meaningfully contributes to the improvement of policy, program, and practice in fields of personalized learning, blended learning, teacher education, and community-engaged scholarship
- Applying for, obtaining, and managing external grant funding to support research and community-engaged scholarship
- Engaging in service duties, including program management, as well as committing to extra-curricular activities and service to community partners
- Being a team player to contribute to the advancement of department, college, and university goals through various kinds of professional service
Grant Funded?
Pay Basis
Preferred Qualifications
- K-12 teaching and/or coaching experience in BL/PL contexts;
- Experience with leading academic programs;
- Experience with building and maintaining partnerships;
- Experience with and research/support on AI-driven personalized learning systems;
- Experience with and research/support on AI-uses in teaching and learning for personalization and innovative solutions for strategic staffing
- Experience in community-engaged scholarship (including rigorous research, teaching, grant writing, and/or service with community partners), especially connected with school partners;
- A track-record of online college-level teaching with a preference for graduate-level teaching;
- A track-record of or potential ability for advising/chairing doctoral level graduate students;
- Evidence of peer-refereed publications;
- Evidence of conference presentations; and
- Evidence of obtaining (or potential for) external funding.
Department
Job Type
Job Group
Salary Grade
Does this position work in a research laboratory?
Special Instructions to Applicants
- Curriculum Vitae
- Cover Letter
- List of References
Questions about this position should be directed to Dr. Heather Greenhalgh-Spencer, Search Committee Chair at [email protected]. The application deadline is October 1, 2025.
Safety Information
Pay Statement
EEO Statement
About the College
About the Department/School/Area
About the University
About Lubbock:Referred to as the “Hub City” because it serves as the educational, cultural, economic, and health care hub of the South Plains region, Lubbock boasts a diverse population and a strong connection to community, history, and land. With a mild climate, highly rated public schools, and a low cost of living, Lubbock is a family-friendly community that is ranked as one of the best places to live in Texas. Lubbock is home to a celebrated and ever-evolving music scene, a vibrant arts community, and is within driving distance of Dallas, Austin, Santa Fe, and other major metropolitan cities. Lubbock’s Convention & Visitors Bureau provides a comprehensive overview of the Lubbock community and its resources, programs, events, and histories.
Faculty Qualifications
- Earned doctorate (or expected to earn by May 2026) in Curriculum and Instruction, or a closely related field
- Research and experience aligned with Blended and/or Personalized Learning