Impact of Self-Directed Learning and Educational Technology Readiness on Synchronous E-Learning

Impact of Self-Directed Learning and Educational Technology Readiness on Synchronous E-Learning

Ka Yin Chau, Kris M. Y. Law, Yuk Ming Tang
Copyright: © 2021 |Pages: 20
DOI: 10.4018/JOEUC.20211101.oa26
Article PDF Download
Open access articles are freely available for download

Abstract

The coronavirus (COVID-19) has had severe global impacts in many aspects of education. Asian countries and regions have been the first responders to move entirely online since the epidemic started. The aim of this paper is two-folded. First, this study investigates the correlations in order to understand the compounded effects on presences in the participating synchronous learning environments. Second, this paper provide empirical evidence and insights for educators on the future trends of learning and instructional strategy in online teaching. This study investigated students’ perception of synchronous e-learning during the COVID-19 pandemic for the better design of the e-learning teaching pedagogy and determines how the key factors of e-learning perception are inter-correlated enabling educators to focus on. The study has important implications that student readiness in educational technology is critical to assist the recent practice in implementing online learning.
Article Preview
Top

1. Introduction

As the pandemic has shut down the physical world, there is a general assumption that the digital world will step in to fill the gap. It is unavoidable that the higher education sector must respond to the pandemic by introducing more online components or transiting to the complete online mode. Asian countries and regions have rapidly moved completely online since the epidemic started worldwide. Courses with online teaching and learning have been offered in Hong Kong universities since late January 2020, at the beginning of the outbreak. This study was carried out in response to the global COVID-19 pandemic, which forced universities to change from face-to-face (FTF) learning to synchronous learning.

Online learning is an alternative to classroom teaching by engaging technology and facilitating learning environments online (Rovai and Jordan, 2004). With the mostly autonomous structure, the online curriculum offers students more flexibility in deciding how and time for participation (Milligan and Littlejohn, 2014). There are various approaches to adopting the latest computer technologies to support students' online learning, including MOOC, problem-based learning (Mo & Tang, 2107), blended learning, flipped classroom, and mobile learning (Tang & Yu, 2018). However, many students are overwhelmed by these new learning technologies and the one thing in common that they support mainly asynchronous learning. Despite synchronous and asynchronous learning being used by educators for many years (Francescucci & Rohani, 2019), the adoption of synchronous learning increased dramatically during the pandemic, as it was the only way to continue delivering classes during the COVID-19 outbreak.

Synchronous learning refers to online or distance education in real-time and students participate in scheduled classes as they did in normal FTF learning. Unlike normal learning, synchronous learning requires students to log in and participate online (Mehri & Uplane, 2015; Hrastinski, 2008). In contrast, asynchronous learning adopts computers or mobile devices to facilitate the sharing of online learning resources and information and promote peer-to-peer communications and interactions. Asynchronous online learning eliminates spatial constraints to enable students to learn anytime and anywhere. For instance, Holenko et al. (2020) adopted synchronous mobile computer-supported technology for supporting collaborative student learning. Martin & Parker (2014) used virtual classrooms to allow communication between students and educators synchronously, with the classroom providing several key functions, including audio, video, chatbox, whiteboard, information sharing, etc.

Despite both synchronous and asynchronous learning approaches being implemented for students' online learning, synchronous learning has been more widely adopted in Asian countries and regions during the COVID-19 pandemic. The approaches require student self-participation and study to facilitate learning, unlike regular education. Although there are various computer technologies to support synchronous learning, the effects of computer-assisted technology on students' perception of participating in online synchronous learning, especially during the COVID-19 pandemic, still need to be investigated.

This paper explores the correlations between learning attributes in student motivation, self-directed learning, and readiness in using technologies to assist in online learning and their combined effects on the perceived synchronous learning environment. Furthermore, considering the pandemic situation due to the coronavirus outbreak since early 2020, this study aims to give empirical evidence and insights for educators for future trends in learning and instructional strategies in online teaching. This study has two major impacts: (1) the study is significant to the education sector in the design and development of new teaching pedagogies for students to participate in online learning; (2) the study is significant to the supporting industries in the design and development of teaching and learning materials such as STEM tools, books, etc., as well as the equipment and software for supporting online learning. Lastly, some of the latest technologies that can be used to support further teaching and training activities are investigated in the discussion section.

Complete Article List

Search this Journal:
Reset
Volume 36: 1 Issue (2024)
Volume 35: 3 Issues (2023)
Volume 34: 10 Issues (2022)
Volume 33: 6 Issues (2021)
Volume 32: 4 Issues (2020)
Volume 31: 4 Issues (2019)
Volume 30: 4 Issues (2018)
Volume 29: 4 Issues (2017)
Volume 28: 4 Issues (2016)
Volume 27: 4 Issues (2015)
Volume 26: 4 Issues (2014)
Volume 25: 4 Issues (2013)
Volume 24: 4 Issues (2012)
Volume 23: 4 Issues (2011)
Volume 22: 4 Issues (2010)
Volume 21: 4 Issues (2009)
Volume 20: 4 Issues (2008)
Volume 19: 4 Issues (2007)
Volume 18: 4 Issues (2006)
Volume 17: 4 Issues (2005)
Volume 16: 4 Issues (2004)
Volume 15: 4 Issues (2003)
Volume 14: 4 Issues (2002)
Volume 13: 4 Issues (2001)
Volume 12: 4 Issues (2000)
Volume 11: 4 Issues (1999)
Volume 10: 4 Issues (1998)
Volume 9: 4 Issues (1997)
Volume 8: 4 Issues (1996)
Volume 7: 4 Issues (1995)
Volume 6: 4 Issues (1994)
Volume 5: 4 Issues (1993)
Volume 4: 4 Issues (1992)
Volume 3: 4 Issues (1991)
Volume 2: 4 Issues (1990)
Volume 1: 3 Issues (1989)
View Complete Journal Contents Listing