
Advanced Specialist, Learning Scientist
Posted Jun 30

Posted Jun 30
This is a fully remote position, open to applicants in Texas.
β’ Design, guide, and enhance student-centered assessment and learning experiences within intelligent assessment systems.
β’ Spearhead considerations in learning science and student experience design for assessment and learning features that are aimed at students within the platform.
β’ Collaborate with UX, Product, Technology, Measurement, and Content teams to convert learning science principles into actionable product requirements and student experiences.
β’ Offer guidance in learning science for intelligent practice and review systems.
β’ Assist in developing methods for AI-assisted review and reflection experiences.
β’ Provide strategic learning science insights for the advancement of the Navvy Learning Library as a standards-aligned instructional support ecosystem.
β’ Keep abreast of emerging research in areas such as cognitive science, learning science, motivation, metacognition, AI-assisted learning, and instructional design.
β’ Work closely with cross-functional teams to guide decisions related to learning experience and instructional support.
β’ Possess an advanced degree in Learning Sciences, Educational Psychology, Cognitive Science, Instructional Design, Educational Technology, Educational Measurement, or a related field.
β’ Demonstrated experience in applying learning science principles within digital learning, assessment, or educational product settings.
β’ Strong comprehension of concepts such as motivation and engagement, metacognition and self-regulated learning, productive struggle and cognitive load, retrieval practice and learning transfer, as well as growth mindset and student-centered learning.
β’ Proven experience working collaboratively with cross-functional teams, including Product, UX, Technology, Content, Measurement, or AI-related teams.
β’ Ability to systematically analyze assessment and learning experiences within intelligent educational systems.
β’ Excellent written and verbal communication skills, with the capacity to translate learning science concepts into practical product guidance.
β’ Willingness to explore and prototype AI-assisted methods for learning and instructional support.
β’ Eligible to participate in an annual incentive program.
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