The Basic Four Approach to Clinical Neuroscience Instruction: Using Cognitive Load Theory to Enhance Case-based Learning

The Basic Four Approach to Clinical Neuroscience Instruction: Using Cognitive Load Theory to Enhance Case-based Learning

Sunde, Kiri E;Cutsforth-Gregory, Jeremy K;Hunderfund, Andrea N Leep;
journal of medical education and curricular development 2018 Vol. 5 pp. -
295
sunde2018thejournal

Abstract

Among medical students, neurosceince is considered a notoriously difficult subject. This challenges faculty to teach preclinical neurology in more engaging, efficient, and prioritized ways. Traditional approaches to neuroscience instruction typically begin with neuroanatomy and advance to clinical problem solving after this foundation of knowledge is in place. Over the past 45 years, neurology faculty at Mayo Clinic Alix School of Medicine have developed and iteratively refined an inverted approach called The Basic Four. The Basic Four uses authentic clinical scenarios as the basis for neuroscience instruction and incorporates principles from cognitive load theory to calibrate load on students’ working memory. This perspective describes The Basic Four and illustrates how cognitive load theory can be used to enhance case-based learning.

Citation

ID: 82163
Ref Key: sunde2018thejournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
82163
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet