Learning Sciences Meet Innovative Design

Learning Sciences Meet Innovative Design

Learning Sciences Meet Innovative Design

The Learning Sciences Principles Cards introduce research-backed insights on human learning that educational professionals can apply to improve product design and learning outcomes. Color-coded by key learning processes, the cards and the associated online guide serve as a handy reference tool that bridges learning theories with practical applications.

The Learning Sciences Principles Cards introduce research-backed insights on human learning that educational professionals can apply to improve product design and learning outcomes. Color-coded by key learning processes, the cards and the associated online guide serve as a handy reference tool that bridges learning theories with practical applications.

The Learning Sciences Principles Cards introduce research-backed insights on human learning that educational professionals can apply to improve product design and learning outcomes. Color-coded by key learning processes, the cards and the associated online guide serve as a handy reference tool that bridges learning theories with practical applications.

Physical Cards

Physical Cards

Physical Cards

A quick reference guide that provides concise, easy-to-use content that can spark meaningful conversations.

Got a physical card? Scan the unique QR code on each card to access the digital companion for more detailed information and real-world examples.

A quick reference guide that provides concise, easy-to-use content that can spark meaningful conversations.

Got a physical card? Scan the unique QR code on each card to access the digital companion for more detailed information and real-world examples.

A quick reference guide that provides concise, easy-to-use content that can spark meaningful conversations.

Got a physical card? Scan the unique QR code on each card to access the digital companion for more detailed information and real-world examples.

Digital Cards

Digital Cards

Digital Cards

Delves deeper into the complexities of each principle and offers advanced information for your applications.

Delves deeper into the complexities of each principle and offers advanced information for your applications.

Delves deeper into the complexities of each principle and offers advanced information for your applications.

The Learning Sciences for Innovators Program

The Learning Sciences for Innovators Program

The Learning Sciences for Innovators Program

The Learning Sciences for Innovators (LSFI) program at Carnegie Mellon University promotes a sustainable EdTech ecosystem in Africa by helping entrepreneurs integrate learning sciences into transformative educational products.

We work to enhance the quality and impact of educational innovations through culturally relevant learning opportunities, online courses, mentoring, collaborative research, and knowledge co-creation, led by world-renowned learning scientists at Carnegie Mellon University (CMU) and CMU-Africa.

For more information, please visit our website: www.CMUlearn.org

The Learning Sciences for Innovators (LSFI) program at Carnegie Mellon University promotes a sustainable EdTech ecosystem in Africa by helping entrepreneurs integrate learning sciences into transformative educational products.


We work to enhance the quality and impact of educational innovations through culturally relevant learning opportunities, online courses, mentoring, collaborative research, and knowledge co-creation, led by world-renowned learning scientists at Carnegie Mellon University (CMU) and CMU-Africa.

For more information, please visit our website: www.CMUlearn.org

The Learning Sciences for Innovators (LSFI) program at Carnegie Mellon University promotes a sustainable EdTech ecosystem in Africa by helping entrepreneurs integrate learning sciences into transformative educational products.


We work to enhance the quality and impact of educational innovations through culturally relevant learning opportunities, online courses, mentoring, collaborative research, and knowledge co-creation, led by world-renowned learning scientists at Carnegie Mellon University (CMU) and CMU-Africa.

For more information, please visit our website: www.CMUlearn.org

Learning Sciences Principles Cards Project Team

Learning Sciences Principles Cards Project Team

Learning Sciences Principles Cards Project Team

This learning sciences research-to-practice project is developed by graduate students and faculty in the Master's of Educational Technology & Applied Learning Sciences (METALS) program at Carnegie Mellon University.

This learning sciences research-to-practice project is developed by graduate students and faculty in the Master's of Educational Technology & Applied Learning Sciences (METALS) program at Carnegie Mellon University.

This learning sciences research-to-practice project is developed by graduate students and faculty in the Master's of Educational Technology & Applied Learning Sciences (METALS) program at Carnegie Mellon University.

Faculty

Faculty

Faculty

Dr. Erik Harpstead

Dr. Erik Harpstead

Dr. Erik Harpstead

Marti Louw, MDes

Marti Louw, MDes

Marti Louw, MDes

Dr. Amy Ogan

Dr. Amy Ogan

Dr. Amy Ogan

Dr. Tutaleni Asino

Dr. Tutaleni Asino

Dr. Tutaleni Asino

Creative Contributors

Creative Contributors

Creative Contributors

Manqing Yu

Manqing Yu

Manqing Yu

Tracy Yu

Tracy Yu

Tracy Yu

Clara Jiao

Clara Jiao

Clara Jiao

Jasper Liu

Jasper Liu

Jasper Liu

References:

Koedinger, Kenneth R., Julie L. Booth, and David Klahr. (2013) Instructional complexity and the science to constrain it. Science, 42(6161), 935-937.

Weinstein, Y., Madan, C. R., & Sumeracki, M. A. (2018). Teaching the science of learningCognitive research: principles and implications, 3(2), 1-17.

References:

Koedinger, Kenneth R., Julie L. Booth, and David Klahr. (2013) Instructional complexity and the science to constrain it. Science, 42(6161), 935-937.

Weinstein, Y., Madan, C. R., & Sumeracki, M. A. (2018). Teaching the science of learningCognitive research: principles and implications, 3(2), 1-17.

References:

Koedinger, Kenneth R., Julie L. Booth, and David Klahr. (2013) Instructional complexity and the science to constrain it. Science, 42(6161), 935-937.

Weinstein, Y., Madan, C. R., & Sumeracki, M. A. (2018). Teaching the science of learningCognitive research: principles and implications, 3(2), 1-17.

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