Assistant Professor of Education & AI Integration (MDSK) Position #004884

UNC Charlotte; Florida; On-site; USD 70,000 - 110,000; Full time

Job summary

UNC Charlotte invites applications for an Assistant Professor of Education specializing in AI integration in curriculum, pedagogy, and technologies, and in generalist middle/secondary pedagogy. This full-time, tenure-eligible position will begin August 2027.

The successful applicant will equip teacher candidates to ethically and effectively leverage AI in classrooms for middle/secondary teaching practice. The candidate will teach foundational courses on lesson design and differentiated

Qualifications

• Foundational cross-disciplinary pedagogy knowledge
• Lesson design expertise
• Differentiated instruction knowledge
• Classroom management and assessment understanding

Responsibilities

• Teach foundational, cross-disciplinary pedagogy courses focused on lesson design, differentiated instruction, classroom management, and assessment for teacher candidates across content areas in graduate certificate programs.
• Prepare candidates for licensure requirements and foster partnerships with local school districts.
• Maintain scholarly productivity through research, publications, and presentations; pursue external funding for research activities.
• Lead curricular development and evaluation at course and program levels; build relationships with local school systems; train in prompt engineering, AI ethics, digital literacies, and Universal Design for Learning; coordinate AI initiatives across university units.

Job description

The Department of Middle, Secondary, and K-12 Education (MDSK) in the Cato College of Education invites applications for an Assistant Professor of Education specializing in AI integration in curriculum, pedagogy, and technologies, and in generalist middle/secondary pedagogy. This full-time, tenure-eligible, teacher education position will begin August 2027. As artificial intelligence transforms classrooms, this practitioner-scholar will equip teacher candidates across all disciplines to ethically, equitably, and effectively leverage AI and ed tech tools to support middle/secondary teaching practice. The successful applicant will deliver coursework including foundational courses on lesson design and differentiated instruction in graduate certificate programs, foster local school district partnerships, and lead interdisciplinary AI initiatives across the university. Key Responsibilities: The selected applicant will: teach foundational, cross-disciplinary pedagogy courses focused on topics such as lesson design, differentiated instruction, classroom management, and assessment that serve teacher candidates across all content areas within graduate certificate programs; prepare candidates for successful outcomes with teacher licensure requirements; maintain scholarly productivity in research, publications, and presentations; obtain external funds to support research activities; engage in curricular development and evaluation at the course and programmatic levels; build relationships with local school systems; lead training in prompt engineering, AI ethics, digital literacies, and technology that supports Universal Design for Learning; drive collaborative initiatives between the Cato College of Education, College of Computing and Informatics, Center for Teaching and Learning, and other university units to advance AI research, cross-listed AI programming, and campus-wide AI efforts; provide service to the field and profession; and participate in program, department, college, and university governance.