Investigating Students’ Perception with an Online Dynamic Earth Course during COVID-19: A Quantitative Inquiry

Author:

Alam Md Iftekhar1,Su Jian2ORCID,Yang Hongwei3ORCID,Benner Jacob4

Affiliation:

1. Geological Sciences Department, Ohio University, Athens, OH 45701, USA

2. Office of Digital Learning, University of Tennessee at Knoxville, Knoxville, TN 37902, USA

3. School of Education, University of West Florida, Pensacola, FL 32514, USA

4. Department of Earth, Environmental and Planetary Sciences, University of Tennessee at Knoxville, Knoxville, TN 37996, USA

Abstract

This study investigated Earth science students’ experiences with online education during the COVID-19 pandemic at the University of Tennessee, Knoxville, in the US. We used an existing survey from the online education literature, the Online Learning Environment Survey (OLES), which consists of three instruments: (a) community of inquiry (CoI), (b) Institutional Support (IS), and (c) Self-Directed Online Learning Scale (SDOLS). The survey rating subscales ordered from highest to lowest are autonomous learning, asynchronous online learning, institutional support, teaching presence, social presence, and cognitive presence, respectively, indicating interest for the online learning environment. Among all of the subscales, the asynchronous online category was rated the highest by the students. The data were then analyzed using Rasch modeling. According to the Rasch analyses, asynchronous online teaching represents the most favorable course delivery technique for geoscience education. Overall, the survey data show a general interest in online delivery and the effectiveness of the modality, thus indicating potential for evolving into an online Earth science program. Finally, also discussed are possible future extensions of the research (e.g., extending the research to other introductory online geoscience courses).

Funder

UTK Office of Information Technology (OIT) new Course Improvement with Technology Enhancement (CITE) Grant

Publisher

MDPI AG

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