Socio-cognitive theory-based (Sct) investigation of digital literacy attributes of undergraduate students in the post-covid era
NeuroQuantology
; 20(11):3652-3658, 2022.
Article
in English
| EMBASE | ID: covidwho-2090996
ABSTRACT
Background:
The impact ofCovid-19isheretostayespeciallyinthefieldofeducation opening up new possibilities. In order to continue online education, it isimperative that faculties gauge the digital capabilities and self-efficacy of the students aspersocio-cognitivetheory (SCT) to be able to tailor the curricular activities suiting their needs. Aim(s)Hence this study is targeted to investigate and compare the digital capabilities and self-efficacy of students from two different faculties namely International Medical School (IMS) andSchoolofEducationandSocialSciences(SESS).Methodology:
52participants(IMS=29,SESS=23) from two faculties answered a validated questionnaire following informed consent. Theinstrumentmeasuredthetypeandextentofdeviceusageduringlecturetimeandindependentstudy,digitalcapabilities,at titude,andtheemployabilityawarenessandself-regulation. Result(s) The data collected was analysed using IBM SPSS 25. The results though indicatedsimilarities in device usage betweenstudents of both facultiesdifference was noted in device usage during lecture time and independent study hours. Inferential statistics revealed nosignificantdifferenceinthedigitalcapabilitiesandemployabilityandself-regulationbetweenstudents of both faculties. However, significant difference (p0.05)withmoderateeffectsize was found betweenthe attitude ofstudentstowardsdigitalusage. Conclusion(s) The study set out to investigate curricular difference-based use of digital capabilitiesamong different faculties indicated significant difference in the attitude of studentstowards digital skills and capabilities. The results of the study can be used to tailor online activitiesforstudentsbased ontheircurricularneedsinfuture. Copyright © 2022, Anka Publishers. All rights reserved.
Full text:
Available
Collection:
Databases of international organizations
Database:
EMBASE
Topics:
Long Covid
Language:
English
Journal:
NeuroQuantology
Year:
2022
Document Type:
Article
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