Predictors of the Effectiveness of Different Approaches to Pandemic Distance Learning

Author:

Kohout JiříORCID,Buršíková Dana,Frank Jan,Lukavský Jindřich,Masopust Pavel,Motlíková Iva,Rohlikova LucieORCID,Slavík Jan,Stacke VáclavORCID,Vejvodová Jana,Voltrová Michaela

Abstract

Significant attention has been devoted to the forced switch to distance learning as a result of the COVID-19 pandemic. However, some aspects of this issue that are very important for practice are still understudied. The aim of this study is to describe the development of an online-available screening tool which could help the teachers to identify the students at risk of lowered effectiveness during the distance learning and also to select an appropriate teaching approach for the given class. A complex survey involving 35 teachers of Czech language, German language, Mathematics, Physics and Geography, and more than 1400 of their students from 70 classes, was carried out. In the first step, we identified which out of the more than 100 potentially relevant variables have predictive value for the effectiveness of distance learning. Subsequently, a series of multilinear regression models enabling to quantify the impact of the individual variables on effectiveness and perceived usefulness of distance learning were developed. Moderation analysis was also used to model how suitable synchronous and asynchronous activities based on active learning are for classes with different characteristics. Based on the results of the models, a simple screening tool helping teachers to tailor their approach and strategy is being developed.

Funder

Technological Agency of the Czech Republic

Publisher

MDPI AG

Subject

Public Administration,Developmental and Educational Psychology,Education,Computer Science Applications,Computer Science (miscellaneous),Physical Therapy, Sports Therapy and Rehabilitation

Reference46 articles.

1. Learning during the Pandemic: Review of International Research

2. “What if…it never ends?”: Examining challenges in primary teachers' experience during the wholly online teaching

3. Special issue editorial: Preservice and inservice professional development during the COVID-19 pandemic;Hartshorne;J. Technol. Teach. Educ.,2020

4. Covid-19 pandemic and online learning: the challenges and opportunities

5. The No Significant Difference Phenomenon: A Comparative Research Annotated Bibliography on Technology for Distance Education: As Reported in 355 Research Reports, Summaries and Papers;Russell,1999

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