Educational Neuroscience: Research-Led Teaching Approaches – CQUniversity

0
Language

Level

Beginner

Certificate

Paid

Access

Free

Last updated on December 11, 2023 12:27 pm

Discover the new field of educational neuroscience. Study evidence-based research on the application of neuroscience in learning. By CQUniversity.

Add your review

Experience required

This intermediate ExpertTrack is designed for those working within education who have an interest in educational neuroscience. Learners are typically classroom teachers, education assistants, learning designers and academics. However, it’s also suitable for those moving into teaching and/or training to become an educator.

While there are no academic prerequisites for this ExpertTrack, you’ll need to have a basic level of teaching and learning experience. We also recommend that you have some existing experience in planning and delivering lessons in-person and/or online.

Getting started

Do you want to feel empowered to bring cutting edge research and teaching techniques into any learning environment? This ExpertTrack will give you the knowledge and skills you need to make an impact in the lives of the learners around you.

Whatever your career path, you’ll benefit from developing your understanding of neuroscience in education and how it impacts learning, memory and leadership.

This ExpertTrack will equip you with hugely valuable skills whether you already have some teaching experience, are a student of education, or are involved in education or learning in any way.

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “Educational Neuroscience: Research-Led Teaching Approaches – CQUniversity”

Your email address will not be published. Required fields are marked *

×

    Your Email (required)

    Report this page
    Educational Neuroscience: Research-Led Teaching Approaches – CQUniversity
    Educational Neuroscience: Research-Led Teaching Approaches – CQUniversity
    LiveTalent.org
    Logo
    Skip to content