Assistant Teaching Professor

Towson University•Towson, MD

1d•$50,000 - $55,000•Onsite

About The Position

The College of Education, Department of Learning Technologies, Design & School Library Media (LTDM) at Towson University invites applications for a non-tenure, 9-month Assistant Teaching Professor position in the Learning Design/Instructional Technology programs. Spring 2027 preferred start date. The LTDM Department offers Ph.D., M.S., and certificate programs in instructional design and development, educational technology, and school library media. It also offers undergraduate courses in “integrating technology in teaching and learning,” “artificial intelligence for education,” and “cybersecurity for educators” for prospective teachers and other interested undergraduates, as well as several sections of general education freshman research seminars.

Requirements

earned a master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Learning Sciences, Cognitive Psychology, Educational Technology, or a closely related field
demonstrated commitment to culturally responsive teaching and mentoring diverse student populations
show evidence of teaching experience or strong potential for excellence in teaching at the undergraduate and/or graduate level
demonstrated expertise in at least one of the following areas: Artificial intelligence or machine learning; Data science or data analytics; Computing/Computer Science; Cognitive Psychology/Learning Sciences
show familiarity with ethical, societal, and policy issues related to AI and data science
evidence of skill in designing authentic, real-world learning experiences
demonstrated commitment to continuous improvement through reflective and evidence-based teaching
show strong communication and collaboration skills
evidence of pedagogical scholarship, curriculum development, or teaching‑related grants

Responsibilities

Design and teach courses in areas such as: Artificial intelligence and machine learning; Data science and data literacy; Computing foundations (e.g., programming, algorithms, systems); integrating advanced learning technology in teaching and learning; ethics and societal impacts of AI and computing
Develop interdisciplinary, project-based learning experiences grounded in authentic problems.
Continuously assess and improve courses using student feedback, learning data, and reflective practice.
Develop scholarship and curriculum development through engagement in professional development and reflective, evidence-based teaching.