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Learning Scientist

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March 29, 2024 Updated April 13, 2025 16 minute read

Exploring a Career as a Learning Scientist

A Learning Scientist investigates how people learn in various settings. They apply insights from cognitive science, psychology, education, and computer science to understand and improve learning processes, environments, and technologies. Their core goal is to develop evidence-based approaches to enhance teaching and learning effectiveness for diverse populations.

Working as a Learning Scientist can be deeply engaging. You might find yourself designing innovative educational software, researching the cognitive mechanisms behind skill acquisition, or collaborating with educators to implement cutting-edge teaching strategies. It's a field that blends rigorous research with practical application, often with the rewarding outcome of directly impacting how people learn and develop.

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Salaries for Learning Scientist

City
Median
New York
$138,000
San Francisco
$218,000
Seattle
$166,000
See all salaries
City
Median
New York
$138,000
San Francisco
$218,000
Seattle
$166,000
Austin
$154,000
Toronto
$185,000
London
£143,000
Paris
€81,000
Berlin
€106,000
Tel Aviv
₪354,000
Singapore
S$100,000
Beijing
¥311,000
Shanghai
¥56,000
Shenzhen
¥603,000
Bengalaru
₹548,000
Delhi
₹450,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Learning Scientist

Take the first step.
We've curated 24 courses to help you on your path to Learning Scientist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We've selected some books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learning Scientist.
Provides a comprehensive overview of cognitive load theory, including its history, theoretical foundations, and applications in education and training. It is written by leading researchers in the field and provides an up-to-date synthesis of the latest research findings.
This handbook provides a comprehensive overview of the field of learning sciences, with contributions from leading researchers in the field. It is an invaluable resource for students and researchers who want to learn about the latest research on learning.
Papert, a pioneer in the field of educational software, focuses on the ways in which children learn through playing with computers. In this book, Papert discusses the role of computers in education, the importance of hands-on learning, and the ways in which computers can help to develop children's creativity and problem-solving skills.
Discusses the history of educational software, the research on how it can be used effectively, and the challenges and opportunities for the future.
Provides research-based principles for designing effective multimedia instruction. It crucial resource for instructional designers and educators interested in the cognitive science behind e-learning. It offers a deeper understanding of how people learn with technology and valuable reference for creating effective digital learning materials.
Widely used textbook in educational technology programs, providing a comprehensive overview of the field for pre-service and in-service teachers. It covers foundational concepts, technology integration strategies, and practical applications for the classroom. It is particularly useful for gaining a broad understanding and serves as a valuable reference.
Provides a strong theoretical foundation for understanding online learning, linking learning theories to the effective use of online technologies. It is suitable for both undergraduate and graduate students. It's a key resource for deepening one's understanding of the pedagogical principles behind online EdTech.
Explores the potential of Artificial Intelligence in education, discussing its promises and implications for teaching and learning. It delves into how AI can be used to personalize learning, automate tasks, and provide intelligent tutoring systems. It's a key resource for understanding contemporary topics in EdTech.
Provides practical guidance for educators on how to integrate AI into their teaching practices. It addresses ethical considerations and offers strategies for preparing students for an AI-driven future. It's a highly relevant book for understanding and implementing contemporary AI in education.
Applies the theory of disruptive innovation to the education sector, offering insights into how technology can transform traditional educational models. It provides a framework for understanding the potential impact of online learning and other technological advancements. It's a foundational text for understanding the forces of change in EdTech.
Is considered to be the first-ever published on the subject of educational software and covers a wide range of topics related to the theoretical foundations of educational software as well as how educational software was developed and used in the past.
Provides a comprehensive overview of educational technology. It covers topics such as the history of educational technology, the different types of educational technology, and the benefits and challenges of using educational technology.
Practical guide to teaching that is based on the latest research on learning. It is an excellent resource for teachers who want to learn more about how to create effective learning environments.
Provides a foundational definition of educational technology and offers commentary on its scope and evolution. It key text for understanding the theoretical underpinnings and historical context of the field. It serves as a strong reference for academic study.
Translates the concepts of AI for educators, offering practical strategies for using AI to enhance learning and streamline teaching tasks. It provides a vision for the future of AI in education. It's a very current and practical guide for teachers.
Provides a practical framework for educators to design lessons that effectively integrate technology to enhance learning, rather than using technology for its own sake. It focuses on creating authentic learning experiences. It valuable resource for teachers looking for practical strategies and a deeper understanding of technology integration pedagogy.
Provides practical guidance on how to use cognitive load theory to design and deliver effective instruction. It includes examples from a variety of educational settings, including K-12, higher education, and corporate training.
Presents a new and improved theory of cognitive load, called the element interactivity theory. It explains how cognitive load is affected by the number of elements in a task, the interactivity between the elements, and the amount of working memory available.
Provides a comprehensive overview of cognitive load theory and its implications for instructional design. It includes chapters on working memory, long-term memory, attention, and motivation.
Explores the concept of 'co-intelligence,' focusing on how humans can effectively collaborate with AI. While broader than just education, its principles are highly relevant to the future of work and learning in an AI-infused world. It offers insights into the skills needed for students in the age of AI.
Discusses the use of artificial intelligence in education. It covers topics such as the design of intelligent tutoring systems, the use of artificial intelligence to assess student learning, and the future of artificial intelligence in education.
Explores the theoretical and practical aspects of digital pedagogy, examining how digital technologies are used in contemporary educational settings. It covers various approaches and their implications for teaching and learning. It's relevant for understanding current practices in technology-enhanced teaching.
While not exclusively about technology, this book delves into the science of learning, providing evidence-based strategies for effective studying and teaching. These principles are highly relevant to designing effective technology-enhanced learning experiences. It's valuable for educators and designers seeking to apply learning science to EdTech.
Offers practical and accessible strategies for integrating technology into various learning environments. It provides educators with actionable ideas and resources for using technology effectively. It's a useful guide for those seeking to implement technology in their teaching practice and gain a broader understanding of essential EdTech skills.
Advocates for the maker movement in education and the use of technology for hands-on, creative learning experiences. It emphasizes tinkering, making, and engineering as powerful ways to engage students with technology. It offers a different perspective on using technology for active learning.
While not solely focused on technology, this book provides a comprehensive dictionary of learning theories, which are fundamental to understanding how technology can be effectively used for learning. It serves as a valuable reference for educators and instructional designers to deepen their understanding of the pedagogical underpinnings of EdTech.
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