Distance Education during the COVID-19 Shutdown: A Process Model of Online Learner Readiness, Experiences and Feelings of Learning

被引:1
作者
Nowak K.L. [1 ]
Watt J.H. [2 ]
机构
[1] University of Connecticut, 337 Mansfield Road, Unit 1259, Storrs, 06269-1259, CT
[2] University of Connecticut and Boston Research Technologies, 337 Mansfield Road, Unit 1259, Storrs, 06269-1259, CT
来源
Proceedings of the ACM on Human-Computer Interaction | 2022年 / 6卷 / CSCW2期
关键词
computer self-efficacy; crisis learning; digital divide; distance education; feelings of learning; learning experiences; online leaner readiness;
D O I
10.1145/3555184
中图分类号
学科分类号
摘要
The COVID-19 pandemic that forced the closure of campuses in the spring of 2020 accelerated the diffusion of distance education in Universities worldwide. The need to shift to distance education without time to prepare or train teachers or students led to what has been called a crisis learning situation in what was far from a seamless transition. This article surveyed 200 students at a large university in the United States at the end of the spring semester in 2020 about their online learner readiness including access to technological infrastructure (computers and highspeed Internet access), computer self-efficacy, computer anxiety, and how that influenced positive and negative learning experiences and feelings about distance education and learning. A four-stage Structural Equation Model shows a detailed picture of the distance education process and suggests intervention points to improve its outcomes. Results suggest that access to technological infrastructure are necessary but not sufficient for successful distance education experiences and point to the critical importance of computer self-efficacy and anxiety in predicting positive (or negative) learning experiences, which lead to increased feelings of learning and the likelihood that students will choose distance education in the future. © 2022 ACM.
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共 34 条
[1]  
Seaman J.E., Allen I.E., Seaman J., Grade Increase: Tracking Distance Education in the United States. US Official News Babson Survey Research Group, (2019)
[2]  
Eom S.B., Ashill N., The Determinants of Students? Perceived Learning Outcomes and Satisfaction in University Online Education: An Update, Decision Sciences Journal of Innovative Education, 14, pp. 185-215, (2016)
[3]  
Adnan M., Anwar K., Online Learning amid the COVID-19 Pandemic: Students' Perspectives, Journal of Pedagogical Research, 2, pp. 45-51, (2020)
[4]  
Lokanath Mishra Gupta T., Shree A., Online teaching-learning in higher education during lockdown period of COVID-19 pandemic, International Journal of Educational Research Open 1 100012, (2020)
[5]  
Almaiah M.A., Al-Khasawneh A., Althunibat A., Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic, Education and Information Technologies, 25, pp. 5261-5280, (2020)
[6]  
Dhawan S., Online Learning: A Panacea in the Time of COVID-19 Crisis, Journal of Educational Technology Systems, 49, pp. 5-22, (2020)
[7]  
Gillis A., Krull L.M., COVID-19 Remote Learning Transition in Spring 2020: Class Structures, Student Perceptions, and Inequality in College Courses, Teaching Sociology, 48, pp. 283-299, (2020)
[8]  
Pokhrel S., Chhetri R., A Literature Review on Impact of COVID-19 Pandemic on Teaching and Learning, Higher Education for the Future, 8, pp. 133-141, (2021)
[9]  
Deslauriers L., McCarty L.S., Miller K., Callaghan K., Kestin G., Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom, Proceedings of the National Academy of Sciences, 116, pp. 19251-19257, (2019)
[10]  
Castro B.M.D., Tumibay G.M., A literature review: Efficacy of online learning courses for higher education institution using meta-Analysis, Education and Information Technologies, pp. 1-19, (2019)