Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI news ·

Georgia Tech appoints David Joyner as interim vice provost for AI in education

Georgia Tech appointed David Joyner interim vice provost for AI in education on July 1. He will execute a strategy built on three goals to integrate AI into teaching.

2 min read
Education
Georgia Tech appointed David Joyner as interim vice provost for AI in education on July 1, tasking him with executing the university's academic artificial intelligence strategy. The role centralizes the institute's efforts to integrate AI into teaching and learning, directly affecting how faculty and students interact with new technologies on campus.

Strategy and implementation

Joyner brings extensive experience in online learning and educational technology to the new position. He currently serves as the executive director of the Online Master of Science in Computer Science (OMSCS) program and will retain that role while stepping down as associate dean for off-campus and special initiatives. The academic AI strategy he will implement rests on three goals: advancing AI-driven teaching, equipping the campus community to build and integrate tools responsibly, and strengthening the institute's leadership in the field.

Faculty leadership and resources

Provost Raheem Beyah highlighted Joyner's background in classroom AI use and instructional methods as key qualifications for the role. "David has been an important contributor to Georgia Tech's academic AI strategy from the beginning," Beyah said. "With expertise in AI use in the classroom, a commitment to instructional innovation, and a deep appreciation for and understanding of faculty perspectives, David is exceptionally well-positioned to lead this work." Joyner will coordinate with faculty governance and academic leaders to increase resource access across the institute. Educators looking to build similar competencies can explore structured training like the AI Learning Path for Teachers to understand practical classroom integration.

Scaling education technology

Joyner's research focuses on learning at scale and using AI to support student success. Through his leadership of the OMSCS program, he has helped define how the university approaches technology-enhanced learning. He said he looks forward to highlighting the strides the campus community is making and helping them articulate responsible AI use. This focus on responsible integration connects to broader institutional efforts to advance AI for Education at the university level.

Why this matters for educators

Georgia Tech's appointment of a dedicated vice provost signals a shift from experimental AI pilots to structured, institute-wide academic policy. For educators, this means university administrations are moving past basic adoption and are now building dedicated administrative frameworks to support faculty-led AI integration and responsible use.

Share