Advanced Specialist, Learning Scientist

Advanced Specialist, Learning Scientist Measurement & Learning | School Assessment Role Overview

We are seeking an Advanced Specialist, Learning Scientist (Assessment & Learning Experience Systems) to shape the design, guidance, and continuous improvement of student-centered assessment and learning experiences within intelligent assessment systems.

This role sits within the Measurement & Learning team and operates at the intersection of Learning Science, Measurement, Product, UX, Content Development, Technology, and AI Science. The role is responsible for helping ensure assessment and learning experiences within Pearson’s formative assessment system, Navvy, are instructionally meaningful, cognitively engaging, motivationally supportive, and aligned to evidence-based learning principles.

This role helps ensure AI-assisted assessment and learning systems promote thinking, reflection, productive struggle, and meaningful learning rather than replacing student cognition.

The role supports the design of student-facing engagement experiences, intelligent practice and review systems, AI-assisted academic guidance approaches, and learning support ecosystems connected to standards-based assessment evidence.

This role also contributes to the evolution of the Navvy Learning Library as a supplemental instructional and learning support ecosystem, helping guide strategic decisions around instructional experiences, standards-aligned learning supports, high-quality instructional materials, AI-assisted content expansion, and student-centered learning design.

• Lead learning science and student experience design considerations for student-facing assessment and learning features within the platform
• Help shape experiences related to goal setting, metacognitive reflection, growth mindset and motivation, achievement and growth recognition systems, student reporting and communication, and student agency and engagement
• Partner with UX, Product, Technology, Measurement, and Content teams to translate learning science principles into product requirements and student experiences
• Help ensure platform experiences promote healthy learning behaviors, reflection, persistence, and meaningful engagement

• Provide learning science guidance for intelligent practice and review systems, including Smart Sets and future adaptive learning experiences
• Help guide decisions around prerequisite skill support, productive struggle, cognitive load and engagement, reinforcement and retrieval practice, building on student strengths, and personalized review and practice pathways
• Collaborate with measurement and product teams to help ensure practice experiences support meaningful knowledge development, prerequisite skill connections, and deeper learning rather than isolated performance optimization

• Lead learning science input related to AI-assisted academic guidance experiences within the platform
• Help shape approaches for AI-assisted review and reflection experiences, worked examples and instructional supports, Socratic questioning and guided inquiry, AI-generated explanations and concept supports, and AI-assisted feedback and learning guidance
• Help ensure AI-assisted guidance systems support thinking, reasoning, metacognition, and learning transfer without overloading or replacing student cognition
• Collaborate with AI Science, Measurement, Product, and Technology teams to establish learning-centered guidance principles and guardrails for AI-assisted learning experiences

• Lead strategic learning science input for the evolution of the Navvy Learning Library as a standards-aligned instructional support ecosystem
• Help guide decisions related to digital learning activities and assignable learning experiences; high-quality instructional materials and supplemental learning supports aligned to standards and subskills; independent and teacher-facilitated learning activities; teacher-facing instructional supports; external instructional content partnerships; AI-assisted approaches to responsibly…