TY - JOUR
T1 - Internet-specific epistemic beliefs and self-regulated learning in online academic information searching
AU - Chiu, Yen Lin
AU - Liang, Jyh Chong
AU - Tsai, Chin Chung
N1 - Funding Information:
Acknowledgement This study was supported by the National Science Council, Taiwan, under grant number NSC-99-2511-S-011-005-MY3, NSC-99-2511-S-011-008-MY3 and NSC-100-2511-S-011-004-MY3.
PY - 2013/12
Y1 - 2013/12
N2 - Epistemic beliefs have been considered as important components of the self-regulatory model; however, their relationships with self-regulated learning processes in the Internet context need further research. The main purpose of this study was to examine the relationships between Internet-specific epistemic belief dimensions and self-regulated learning activities while using the Internet for academic information searching. A total of 758 university students were sampled in this study. Through factor analyses, four dimensions of Internet-specific epistemic beliefs were identified, labeled as certainty of Internet-based knowledge, simplicity of Internet-based knowledge, source of Internet-based knowledge, and justification for Internet-based knowing. Factor analyses also revealed two dimensions of self-regulated learning while using the Internet for academic searching, namely preparatory self-regulated learning (i.e., task definition as well as goal setting and planning) and enactment self-regulated learning (i.e., controlling, monitoring, and reflecting). The results of the structural relationship analysis indicated that the preparatory phase of self-regulated learning positively correlated with Internet-specific epistemic beliefs relating to justification for Internet-based knowing, and was also negatively associated with two other dimensions of Internet-specific epistemic beliefs regarding simplicity of Internet-based knowledge and source of Internet-based knowledge. In addition, preparatory self-regulated learning mediated the relationships between these three dimensions of Internet-specific epistemic beliefs and the enactment phase of self-regulated learning.
AB - Epistemic beliefs have been considered as important components of the self-regulatory model; however, their relationships with self-regulated learning processes in the Internet context need further research. The main purpose of this study was to examine the relationships between Internet-specific epistemic belief dimensions and self-regulated learning activities while using the Internet for academic information searching. A total of 758 university students were sampled in this study. Through factor analyses, four dimensions of Internet-specific epistemic beliefs were identified, labeled as certainty of Internet-based knowledge, simplicity of Internet-based knowledge, source of Internet-based knowledge, and justification for Internet-based knowing. Factor analyses also revealed two dimensions of self-regulated learning while using the Internet for academic searching, namely preparatory self-regulated learning (i.e., task definition as well as goal setting and planning) and enactment self-regulated learning (i.e., controlling, monitoring, and reflecting). The results of the structural relationship analysis indicated that the preparatory phase of self-regulated learning positively correlated with Internet-specific epistemic beliefs relating to justification for Internet-based knowing, and was also negatively associated with two other dimensions of Internet-specific epistemic beliefs regarding simplicity of Internet-based knowledge and source of Internet-based knowledge. In addition, preparatory self-regulated learning mediated the relationships between these three dimensions of Internet-specific epistemic beliefs and the enactment phase of self-regulated learning.
KW - Epistemic beliefs
KW - Information searching
KW - Internet-based knowledge
KW - Self-regulatory model
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U2 - 10.1007/s11409-013-9103-x
DO - 10.1007/s11409-013-9103-x
M3 - Article
AN - SCOPUS:84888061888
SN - 1556-1623
VL - 8
SP - 235
EP - 260
JO - Metacognition and Learning
JF - Metacognition and Learning
IS - 3
ER -