Neurodiversity and cognitive load in online learning: A focus group study

Author:

Le Cunff Anne-LaureORCID,Giampietro Vincent,Dommett Eleanor

Abstract

It is widely accepted that cognitive load plays a crucial role in online learning. However, despite neurodevelopmental conditions being the largest category of qualifying disabilities in education, and the rise of online learning, there is little understanding of the factors impacting cognitive load in online learning for neurodivergent students and how these factors differ from those affecting neurotypical students. This study used qualitative comparison groups with neurotypical and neurodivergent students to examine their experiences of cognitive load in online learning. A sample of 26 university students (14 neurotypical and 12 neurodivergent) participated in focus group discussions. While neurodivergent students reported many similar experiences of cognitive load in online learning compared to their neurotypical peers—such as confusion in navigating the content and technical issues—some difficulties were more present for neurodivergent students—such as transcripts including mistakes and inaccessible content presentation—creating additional barriers in effectively engaging with the educational content. The results suggest that neurotypical and neurodivergent students experience similar challenges, albeit to differing degrees of intensity, and that more research is needed to explore the relationship between neurodiversity and cognitive load in online learning.

Funder

Research England

Publisher

Public Library of Science (PLoS)

Reference94 articles.

1. Negotiating growth of online education in higher education;NP Morris;International Journal of Educational Technology in Higher Education,2020

2. Online learning: Implications for higher education pedagogy and policy;AG Picciano;Journal of Thought,2006

3. How many ways can we define online learning? A systematic literature review of definitions of online learning (1988–2018).;V Singh;American Journal of Distance Education,2019

4. Digest of Education Statistics 2019. NCES 2021–009.;C De Brey;National Center for Education Statistics.,2021

5. Rise of online teaching and learning processes during COVID-19 pandemic.;K Kumar;Predictive and preventive measures for COVID-19 pandemic.,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3