Instructional Designer for Learning Innovation (Open Rank)
Job Details
The Instructional Designer (Teaching & Learning Innovation) works in close partnership with the Teaching and Learning Specialist and faculty and academic staff to design, implement, and evaluate innovative teaching and assessment practices. The role supports the thoughtful integration of AI and other emerging technologies as part of a broader effort to enhance student learning and advance discipline-specific thinking. Central to the role is ensuring that technology is used in ways that complement and augment, rather than replace, student learning, motivation, and intellectual effort.
Grounded in evidence-based teaching and learning principles, this position focuses on translating pedagogical strategies into practical course designs, assignments, and assessments that strengthen foundational skills, critical thinking, and student engagement. The role emphasizes hands-on collaboration with faculty to pilot new approaches, adapt assignments and assessments in response to evolving learning contexts, and develop scalable models of instructional innovation.
The Instructional Designer for Learning Innovation reports to the Director of the Hilary Ballon Center for Teaching and Learning.
Key Responsibilities
1. Instructional Design & Faculty Collaboration
- Partner with faculty to redesign courses, assignments, and assessments that integrate AI and other learning technologies
- Translate teaching and learning theory into practical, discipline-specific instructional strategies
- Support faculty in aligning learning outcomes, activities, and assessments in technology-enhanced environments
2. AI Integration & Assessment Transformation
- Help faculty adapt and redesign assessments in response to AI-enabled student practices
- Develop AI-integrated, AI-cognizant, and AI-resistant assignment strategies
- Support ethical and pedagogically meaningful uses of AI in coursework
3. Pilot Projects & Innovation
- Co-design and implement pilot initiatives exploring new models of teaching and learning with AI and emerging technologies
- Iterate on designs based on feedback, student performance, and faculty input
- Contribute to scaling successful innovations across programs
4. Learning Science & Student Experience
- Apply principles from the learning sciences, including motivation, cognitive load, and skill development, to instructional design
- Ensure that course designs promote deep learning, critical thinking, and sustained student engagement
- Evaluate how technology impacts student effort, persistence, and learning behaviors
5. Evaluation, Metrics & Impact
- Develop and apply metrics to assess the effectiveness of instructional and technological interventions
- Analyze student learning data and feedback to inform continuous improvement
- Contribute to evidence-based decision-making around teaching innovation
6. Tools, Resources & Capacity Building
- Develop practical guides, templates, and examples for faculty integrating AI and technology into teaching
- Support workshops and training sessions focused on instructional design and AI in education
- Stay current with emerging technologies and evaluate their relevance for teaching and learning
Qualifications
Education: Master’s degree in Instructional Design, Learning Sciences, Educational Technology, Education, or a related field, or equivalent combination of education and experience
Experience & Expertise: Minimum of 3–5 years of experience in instructional design, educational technology, or teaching and learning support in higher education. Demonstrated experience designing or redesigning courses, assignments, and assessments in collaboration with faculty. Strong understanding of learning sciences, including motivation, cognitive processes, and development of foundational skills such as critical thinking and problem-solving. Experience applying evidence-based pedagogical practices to technology-enhanced learning environments.
AI & Technology Integration: Understanding of generative AI and other emerging technologies and their implications for teaching, learning, and assessment. Experience or demonstrated ability to integrate AI and digital tools into course design in ways that enhance (not replace) student learning. Ability to critically evaluate AI-facilitated applications and align their use with learning outcomes and academic integrity.
Assessment & Evaluation: Experience designing and evaluating assessments aligned with learning outcomes. Ability to develop and use metrics to assess student learning, engagement, and the effectiveness of instructional interventions. Experience analyzing student data and feedback to inform iterative course and assessment design.
Skills & Competencies: Strong collaboration skills, with the ability to work closely with faculty across disciplines. Ability to translate theory into practical, discipline-specific teaching strategies. Excellent communication skills, including the ability to create clear, actionable guidance and resources. Strong project management skills and ability to manage multiple initiatives simultaneously.
Commitment & Orientation: Commitment to inclusive and student-centered teaching practices. Interest in innovation in teaching and learning within a global liberal arts context.
Application Instructions
To apply for this position, please submit the following documents: CV, Cover Letter, List three professional references, including their names and email addresses. They may be contacted at a later stage of the process.
We will begin reviewing applications on June 8th. If you have any questions, please e-mail nyuad.academicrecruitment@nyu.edu.
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