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The neuroscience education readiness checklist for digital tools and methods
Mathew Abrams1, Michael Denker2, Damien Depannemaecker3
1INCF Secretariat, Karolinska Institutet, Stockholm, Sweden.
Frontiers in Computational Neuroscience
|July 14, 2026
Summary
The Neuroscience Education Readiness Checklist (NERC) bridges the gap between advanced neuroscience tools and effective teaching. This framework helps ensure new educational resources are both technically sound and ready for classroom adoption.
Area of Science:
- Neuroscience
- Educational Technology
Background:
- Digital technologies and advanced training resources are expanding in neuroscience.
- An "educator readiness gap" hinders the integration of these tools due to instructors' technical expertise.
- Successful implementation requires instructors to seamlessly integrate new technologies into pedagogical practices.
Purpose of the Study:
- Introduce the Neuroscience Education Readiness Checklist (NERC).
- Provide a structured, 25-item self-assessment framework for creators and developers of neuroscience training resources.
- Address key areas for ensuring educational adoptability and scalability of neuroscience tools.
Main Methods:
- NERC is a self-assessment framework with 25 items.
- Criteria are organized into three domains: general items and accessibility, instructor usability and workflow, and technical readiness.
- Developed through co-design workshops and refined with developer feedback.
Main Results:
- NERC offers a structured approach to evaluating neuroscience training resources.
- It addresses domain-specificity, pedagogical utility, and infrastructure requirements.
- Aims to reduce faculty burden and provide feedback for resource creators.
Conclusions:
- NERC promotes a standardized approach to ensure neuroscience tools are education-adoptable and scalable.
- It fosters a reproducible educational ecosystem for high-quality neuroscience training.
- Future validation will assess inter-rater reliability and predictive validity.
