Instructional Designer
Listed on 2026-06-30
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Education / Teaching
Online Teaching, Training Instructor / Specialist, University Professor, Adult Education
Department: Kogod School of Business
Time Type: Full time
Job Type: Regular
FLSA Status: Exempt
Work Modality: Hybrid 02 (On Campus 2 days/Week)
Union: SEIU Local 500 - Provost & Enrollment Division
SummaryThe Instructional Designer for The Kogod School of Business will serve as an AI integration specialist, leading the adoption and application of artificial intelligence tools and approaches in the design and delivery of courses for residential and graduate online programs on approximately a 50/50 basis. This role centers on leveraging AI‑driven technologies and data insights to create engaging, adaptive, and personalized learning experiences across traditional, online, and hybrid formats.
The Instructional Designer collaborates closely with graduate assistants, staff members, and faculty to identify, recommend, and implement innovative AI solutions that optimize pedagogical effectiveness and student outcomes. Expertise in instructional theory, educational technology, and faculty communication is required to ensure successful integration of AI‑powered methodologies within sound instructional frameworks and evolving learning environments.
Support the design, development, and revision of online and hybrid courses, including new course creation and updates ranging from minor adjustments to major redesigns. Collaborate with faculty to ensure that assignments, activities, and assessments align with their course objectives and promote meaningful learning. Provide guidance in reviewing, editing, and reorganizing course content, while identifying opportunities to incorporate multimedia elements that enhance engagement.
Additionally, assist and advise faculty in thoughtfully integrating artificial intelligence tools and strategies into their courses, ensuring alignment with instructional goals and fostering innovation in teaching and learning.Perform course updates in AU’s Learning Management System (Canvas), supporting the setup, maintenance, organization, and revision of course‑related content. Proactively identify upcoming courses for the next semester and reach out to assigned faculty to offer timely assistance in preparing their courses for launch. Collaborate with faculty to explore and implement artificial intelligence tools in the redesign of assignments and assessments, thereby enhancing instructional effectiveness and learning outcomes.
Support and conduct the course readiness meetings with faculty before delivery of an online and/or hybrid course. The meeting serves as a readiness checklist to coordinate the many online moving components to ensure all parties are aligned before delivery.
Assist new adjunct faculty in becoming familiar with course setup in Canvas, including navigation, content organization, and instructional tools. Share Kogod’s standardized syllabus and KSB course template to ensure consistency across all courses and provide ongoing support throughout the semester to address instructional needs and promote a smooth teaching experience.
Assist the Online Lead, ensuring that learning outcomes are translated and aligned with appropriate coursework and assessments. Contribute to the development of syllabi, assessment options, and course evaluation methods providing feedback throughout the online course development process. Leverage artificial intelligence tools to support course design and maintenance—such as generating outlines, assessments, and multimedia content; personalizing learning paths; enhancing accessibility; and analyzing performance data to improve instructional effectiveness and learning outcomes.
Stay informed on emerging research, trends, and innovations in pedagogy, educational technologies, and artificial intelligence as they relate to online and hybrid course design. This includes actively engaging with scholarly articles, professional development opportunities, seminars, and conferences. Apply this knowledge—particularly in the context of Artificial Intelligence‑driven tools, analytic methods, and adaptive learning systems—to recommend and collaborate with faculty and course authors in adopting and implementing effective, current strategies and…
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