Changes in Online Distance Learning Behaviour of University Students during the Coronavirus Disease 2019 Outbreak, and development of the Model of Forced Distance Online Learning Preferences
Because of the Coronavirus Disease 2019 (COVID-19) outbreak, most universities were forced to choose Online Distance Learning (ODL). The study aimed to examine the response of university students to the new situation. A questionnaire was sent to the entire university student population. Based on res...
Gespeichert in:
Veröffentlicht in: | European journal of educational research 2021-01, Vol.10-2021 (volume-10-issue-1-january-2021), p.393-411 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 411 |
---|---|
container_issue | volume-10-issue-1-january-2021 |
container_start_page | 393 |
container_title | European journal of educational research |
container_volume | 10-2021 |
creator | Ploj-Virtič, Mateja Dolenc, Kosta Šorgo, Andrej |
description | Because of the Coronavirus Disease 2019 (COVID-19) outbreak, most universities were forced to choose Online Distance Learning (ODL). The study aimed to examine the response of university students to the new situation. A questionnaire was sent to the entire university student population. Based on responses from 606 students, it was revealed that use of all applications in ODL increased. However, only the use of MS Teams increased significantly, while the use of the other applications (email, Moodle, e-textbooks) increased in a range of low to medium in terms of effect sizes, and even nonsignificant for applications such as Padlet and Kahoot. Based on the replies of 414 respondents, a Model of Forced Distance Online Learning Preferences (MoFDOLP) based on Structural Equation Modeling was developed. With a chosen combination of predictors, we succeeded in predicting 95% of variance for Satisfaction, more than 50% for Continuance Preferences variance in MS Teams applications, and nearly 20% in the case of e-materials. Among hypothesized constructs, only Attitudes are a strong predictor of Satisfaction, while Organizational Support, Perceived Ease of Use and Learner Attitude toward Online Learning are not. Satisfaction is a good predictor of Continuance Preferences to use Information Technology after the lockdown ended. |
doi_str_mv | 10.12973/eu-jer.10.1.393 |
format | Article |
fullrecord | <record><control><sourceid>eric_ideal</sourceid><recordid>TN_cdi_eric_primary_EJ1284206</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ1284206</ericid><sourcerecordid>EJ1284206</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3023-f5408e6d0876437dafd5789d8e775041900d5f79e59a6e2fac0de113722c4ac93</originalsourceid><addsrcrecordid>eNpNUctOwzAQjBBIoNI7FyQfOZDiRxLHx1LKS0VFgp4tE2-oS2ojO6nEz_FtOG0F-GKPZnY060mSM4JHhArOrqBLV-BHPR4xwQ6SE0qKPC05yQ7_vY-TYQgrHE9JCsHxSfI9WSr7DgEZi-a2MRbQjQmtshWgGShvjX1H17BUG-M6j1yNFtZswAfTfqGXttNg24B053tduwQ0cd7ZqPZd6J1ABUAUE4HmXfvmQX1cImU10rCBxn2u43hv2k8-OQ1ND26dr0D_5djn-o3z7KEGD5EKp8lRrZoAw_09SBa309fJfTqb3z1MxrO0YpiytM4zXEKhccmLjHGtap3zUugSOM9xRgTGOq-5gFyoAmitKqyBEMYprTJVCTZIzne-4E0lP71ZK_8lp4-ElhnFReQvdrzRoBq3DSxX8cdsTCUfbqbjmSQxhGBRinfSyrsQ4iq_dgTLbZsSOhnb3GIZ22Q_puKVAA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Changes in Online Distance Learning Behaviour of University Students during the Coronavirus Disease 2019 Outbreak, and development of the Model of Forced Distance Online Learning Preferences</title><source>ERIC - Full Text Only (Discovery)</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Ploj-Virtič, Mateja ; Dolenc, Kosta ; Šorgo, Andrej</creator><contributor>Savaş,Ahmet Cezmi</contributor><creatorcontrib>Ploj-Virtič, Mateja ; Dolenc, Kosta ; Šorgo, Andrej ; Savaş,Ahmet Cezmi</creatorcontrib><description>Because of the Coronavirus Disease 2019 (COVID-19) outbreak, most universities were forced to choose Online Distance Learning (ODL). The study aimed to examine the response of university students to the new situation. A questionnaire was sent to the entire university student population. Based on responses from 606 students, it was revealed that use of all applications in ODL increased. However, only the use of MS Teams increased significantly, while the use of the other applications (email, Moodle, e-textbooks) increased in a range of low to medium in terms of effect sizes, and even nonsignificant for applications such as Padlet and Kahoot. Based on the replies of 414 respondents, a Model of Forced Distance Online Learning Preferences (MoFDOLP) based on Structural Equation Modeling was developed. With a chosen combination of predictors, we succeeded in predicting 95% of variance for Satisfaction, more than 50% for Continuance Preferences variance in MS Teams applications, and nearly 20% in the case of e-materials. Among hypothesized constructs, only Attitudes are a strong predictor of Satisfaction, while Organizational Support, Perceived Ease of Use and Learner Attitude toward Online Learning are not. Satisfaction is a good predictor of Continuance Preferences to use Information Technology after the lockdown ended.</description><identifier>ISSN: 2165-8714</identifier><identifier>EISSN: 2165-8714</identifier><identifier>DOI: 10.12973/eu-jer.10.1.393</identifier><language>eng</language><publisher>Eurasian Society of Educational Research</publisher><subject>Adoption (Ideas) ; College Students ; Computer Mediated Communication ; COVID-19 ; Distance Education ; Educational Technology ; Electronic Learning ; Eğitim Bilimleri ; Foreign Countries ; Group Instruction ; Instructional Materials ; Integrated Learning Systems ; Pandemics ; Predictor Variables ; Preferences ; School Closing ; Student Reaction ; Student Satisfaction ; Technology Integration ; Videoconferencing</subject><ispartof>European journal of educational research, 2021-01, Vol.10-2021 (volume-10-issue-1-january-2021), p.393-411</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3023-f5408e6d0876437dafd5789d8e775041900d5f79e59a6e2fac0de113722c4ac93</citedby><cites>FETCH-LOGICAL-c3023-f5408e6d0876437dafd5789d8e775041900d5f79e59a6e2fac0de113722c4ac93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,690,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1284206$$DView record in ERIC$$Hfree_for_read</backlink></links><search><contributor>Savaş,Ahmet Cezmi</contributor><creatorcontrib>Ploj-Virtič, Mateja</creatorcontrib><creatorcontrib>Dolenc, Kosta</creatorcontrib><creatorcontrib>Šorgo, Andrej</creatorcontrib><title>Changes in Online Distance Learning Behaviour of University Students during the Coronavirus Disease 2019 Outbreak, and development of the Model of Forced Distance Online Learning Preferences</title><title>European journal of educational research</title><description>Because of the Coronavirus Disease 2019 (COVID-19) outbreak, most universities were forced to choose Online Distance Learning (ODL). The study aimed to examine the response of university students to the new situation. A questionnaire was sent to the entire university student population. Based on responses from 606 students, it was revealed that use of all applications in ODL increased. However, only the use of MS Teams increased significantly, while the use of the other applications (email, Moodle, e-textbooks) increased in a range of low to medium in terms of effect sizes, and even nonsignificant for applications such as Padlet and Kahoot. Based on the replies of 414 respondents, a Model of Forced Distance Online Learning Preferences (MoFDOLP) based on Structural Equation Modeling was developed. With a chosen combination of predictors, we succeeded in predicting 95% of variance for Satisfaction, more than 50% for Continuance Preferences variance in MS Teams applications, and nearly 20% in the case of e-materials. Among hypothesized constructs, only Attitudes are a strong predictor of Satisfaction, while Organizational Support, Perceived Ease of Use and Learner Attitude toward Online Learning are not. Satisfaction is a good predictor of Continuance Preferences to use Information Technology after the lockdown ended.</description><subject>Adoption (Ideas)</subject><subject>College Students</subject><subject>Computer Mediated Communication</subject><subject>COVID-19</subject><subject>Distance Education</subject><subject>Educational Technology</subject><subject>Electronic Learning</subject><subject>Eğitim Bilimleri</subject><subject>Foreign Countries</subject><subject>Group Instruction</subject><subject>Instructional Materials</subject><subject>Integrated Learning Systems</subject><subject>Pandemics</subject><subject>Predictor Variables</subject><subject>Preferences</subject><subject>School Closing</subject><subject>Student Reaction</subject><subject>Student Satisfaction</subject><subject>Technology Integration</subject><subject>Videoconferencing</subject><issn>2165-8714</issn><issn>2165-8714</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GA5</sourceid><recordid>eNpNUctOwzAQjBBIoNI7FyQfOZDiRxLHx1LKS0VFgp4tE2-oS2ojO6nEz_FtOG0F-GKPZnY060mSM4JHhArOrqBLV-BHPR4xwQ6SE0qKPC05yQ7_vY-TYQgrHE9JCsHxSfI9WSr7DgEZi-a2MRbQjQmtshWgGShvjX1H17BUG-M6j1yNFtZswAfTfqGXttNg24B053tduwQ0cd7ZqPZd6J1ABUAUE4HmXfvmQX1cImU10rCBxn2u43hv2k8-OQ1ND26dr0D_5djn-o3z7KEGD5EKp8lRrZoAw_09SBa309fJfTqb3z1MxrO0YpiytM4zXEKhccmLjHGtap3zUugSOM9xRgTGOq-5gFyoAmitKqyBEMYprTJVCTZIzne-4E0lP71ZK_8lp4-ElhnFReQvdrzRoBq3DSxX8cdsTCUfbqbjmSQxhGBRinfSyrsQ4iq_dgTLbZsSOhnb3GIZ22Q_puKVAA</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Ploj-Virtič, Mateja</creator><creator>Dolenc, Kosta</creator><creator>Šorgo, Andrej</creator><general>Eurasian Society of Educational Research</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IEBAR</scope><scope>ERI</scope><scope>GA5</scope></search><sort><creationdate>20210101</creationdate><title>Changes in Online Distance Learning Behaviour of University Students during the Coronavirus Disease 2019 Outbreak, and development of the Model of Forced Distance Online Learning Preferences</title><author>Ploj-Virtič, Mateja ; Dolenc, Kosta ; Šorgo, Andrej</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3023-f5408e6d0876437dafd5789d8e775041900d5f79e59a6e2fac0de113722c4ac93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adoption (Ideas)</topic><topic>College Students</topic><topic>Computer Mediated Communication</topic><topic>COVID-19</topic><topic>Distance Education</topic><topic>Educational Technology</topic><topic>Electronic Learning</topic><topic>Eğitim Bilimleri</topic><topic>Foreign Countries</topic><topic>Group Instruction</topic><topic>Instructional Materials</topic><topic>Integrated Learning Systems</topic><topic>Pandemics</topic><topic>Predictor Variables</topic><topic>Preferences</topic><topic>School Closing</topic><topic>Student Reaction</topic><topic>Student Satisfaction</topic><topic>Technology Integration</topic><topic>Videoconferencing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ploj-Virtič, Mateja</creatorcontrib><creatorcontrib>Dolenc, Kosta</creatorcontrib><creatorcontrib>Šorgo, Andrej</creatorcontrib><collection>CrossRef</collection><collection>Idealonline online kütüphane - Journals</collection><collection>ERIC</collection><collection>ERIC - Full Text Only (Discovery)</collection><jtitle>European journal of educational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ploj-Virtič, Mateja</au><au>Dolenc, Kosta</au><au>Šorgo, Andrej</au><au>Savaş,Ahmet Cezmi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1284206</ericid><atitle>Changes in Online Distance Learning Behaviour of University Students during the Coronavirus Disease 2019 Outbreak, and development of the Model of Forced Distance Online Learning Preferences</atitle><jtitle>European journal of educational research</jtitle><date>2021-01-01</date><risdate>2021</risdate><volume>10-2021</volume><issue>volume-10-issue-1-january-2021</issue><spage>393</spage><epage>411</epage><pages>393-411</pages><issn>2165-8714</issn><eissn>2165-8714</eissn><abstract>Because of the Coronavirus Disease 2019 (COVID-19) outbreak, most universities were forced to choose Online Distance Learning (ODL). The study aimed to examine the response of university students to the new situation. A questionnaire was sent to the entire university student population. Based on responses from 606 students, it was revealed that use of all applications in ODL increased. However, only the use of MS Teams increased significantly, while the use of the other applications (email, Moodle, e-textbooks) increased in a range of low to medium in terms of effect sizes, and even nonsignificant for applications such as Padlet and Kahoot. Based on the replies of 414 respondents, a Model of Forced Distance Online Learning Preferences (MoFDOLP) based on Structural Equation Modeling was developed. With a chosen combination of predictors, we succeeded in predicting 95% of variance for Satisfaction, more than 50% for Continuance Preferences variance in MS Teams applications, and nearly 20% in the case of e-materials. Among hypothesized constructs, only Attitudes are a strong predictor of Satisfaction, while Organizational Support, Perceived Ease of Use and Learner Attitude toward Online Learning are not. Satisfaction is a good predictor of Continuance Preferences to use Information Technology after the lockdown ended.</abstract><pub>Eurasian Society of Educational Research</pub><doi>10.12973/eu-jer.10.1.393</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2165-8714 |
ispartof | European journal of educational research, 2021-01, Vol.10-2021 (volume-10-issue-1-january-2021), p.393-411 |
issn | 2165-8714 2165-8714 |
language | eng |
recordid | cdi_eric_primary_EJ1284206 |
source | ERIC - Full Text Only (Discovery); EZB-FREE-00999 freely available EZB journals |
subjects | Adoption (Ideas) College Students Computer Mediated Communication COVID-19 Distance Education Educational Technology Electronic Learning Eğitim Bilimleri Foreign Countries Group Instruction Instructional Materials Integrated Learning Systems Pandemics Predictor Variables Preferences School Closing Student Reaction Student Satisfaction Technology Integration Videoconferencing |
title | Changes in Online Distance Learning Behaviour of University Students during the Coronavirus Disease 2019 Outbreak, and development of the Model of Forced Distance Online Learning Preferences |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T00%3A16%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-eric_ideal&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Changes%20in%20Online%20Distance%20Learning%20Behaviour%20of%20University%20Students%20during%20the%20Coronavirus%20Disease%202019%20Outbreak,%20and%20development%20of%20the%20Model%20of%20Forced%20Distance%20Online%20Learning%20Preferences&rft.jtitle=European%20journal%20of%20educational%20research&rft.au=Ploj-Virti%C4%8D,%20Mateja&rft.date=2021-01-01&rft.volume=10-2021&rft.issue=volume-10-issue-1-january-2021&rft.spage=393&rft.epage=411&rft.pages=393-411&rft.issn=2165-8714&rft.eissn=2165-8714&rft_id=info:doi/10.12973/eu-jer.10.1.393&rft_dat=%3Ceric_ideal%3EEJ1284206%3C/eric_ideal%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ericid=EJ1284206&rfr_iscdi=true |