Advanced Specialist, Learning Scientist

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🤠 Texas – Distant

🤠 Texas – Remote

💵 $110 000 - $125 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

📚 Formation et Développement

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Pearson VUE

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1994

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Pearson VUE est un leader mondial des tests informatisés, offrant une vaste gamme d'examens de certification pour divers secteurs. Ils soutiennent les candidats et les propriétaires de tests en proposant des ressources, des options de programmation et des aménagements spéciaux pour assurer un accès équitable aux tests. Leur mission est de responsabiliser les candidats et d'enrichir les communautés à travers la réalisation d'examens critiques qui valident les compétences et les connaissances professionnelles, contribuant à l'avancement des carrières et aux normes de l'industrie.

Description

• Shape the design, guidance, and continuous improvement of student-centered assessment and learning experiences within intelligent assessment systems • Lead learning science and student experience design considerations for student-facing assessment and learning features within the platform • Partner with UX, Product, Technology, Measurement, and Content teams to translate learning science principles into product requirements and student experiences • Provide learning science guidance for intelligent practice and review systems • Help shape approaches for AI-assisted review and reflection experiences • Lead strategic learning science input for the evolution of the Navvy Learning Library as a standards-aligned instructional support ecosystem • Stay informed on emerging research related to cognitive science, learning science, motivation, metacognition, AI-assisted learning, and instructional design • Collaborate closely with cross-functional teams to inform learning experience and instructional support decisions

🎯 Exigences

• Advanced degree in Learning Sciences, Educational Psychology, Cognitive Science, Instructional Design, Educational Technology, Educational Measurement, or a related field • Experience applying learning science principles within digital learning, assessment, or educational product environments • Strong understanding of motivation and engagement, metacognition and self-regulated learning, productive struggle and cognitive load, retrieval practice and learning transfer, and growth mindset and student-centered learning • Experience collaborating across cross-functional teams including Product, UX, Technology, Content, Measurement, or AI-related teams • Ability to think systematically about assessment and learning experiences within intelligent educational systems • Strong written and verbal communication skills, including the ability to translate learning science concepts into actionable product guidance • Comfort exploring and prototyping AI-assisted approaches to learning and instructional support

🏖️ Avantages

• Eligible to participate in an annual incentive program