How students view online knowledge: Epistemic beliefs, self-regulated learning and academic misconduct
Computers and Education
; 200, 2023.
Article
in English
| Scopus | ID: covidwho-2296678
ABSTRACT
The use of the internet in education has been greatly encouraged by the COVID-19 epidemic. Studying students' internet-specific epistemic beliefs (ISEB) and possible correlates would benefit online teaching and learning. However, little research has been conducted in this field. Therefore, we investigated the current status of ISEB among college students and considered the impact of self-regulated learning (SRL) and e-academic dishonesty (e-AD) on ISEB. A survey research method and convenience sampling were employed. A total of 538 Chinese college students completed the self-reported questionnaire. Our results indicate that although no significant differences were found in ISEB in terms of gender and academic major, students with different backgrounds also differed in e-AD experience and SRL. Three dimensions of ISEB were negatively correlated with SRL, while one had a significant positive correlation. In addition, the latter dimension of ISEB was negatively correlated with e-AD. Finally, SRL and e-AD jointly significantly predicted students' different ISEB, with explanatory power ranging from 14% to 36%. Study techniques of SRL were common predictors that could negatively predict the certainty, simplicity, and source of ISEB and positively predict justification. Based on the results, specific methods for schools, teachers and librarians to enhance students' ISEB are provided. © 2023
Distance education and online learning; Post-secondary education; Teaching/learning strategies; E-learning; Teaching; Academic dishonesty; Academic misconducts; College students; Online learning; Online teaching and learning; Postsecondary education; Self-regulated learning; Students' views; Teaching/learning strategy; Students
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Computers and Education
Year:
2023
Document Type:
Article
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