Metacognition and Learning

, Volume 8, Issue 3, pp 235–260

Internet-specific epistemic beliefs and self-regulated learning in online academic information searching


DOI: 10.1007/s11409-013-9103-x

Cite this article as:
Chiu, YL., Liang, JC. & Tsai, CC. Metacognition Learning (2013) 8: 235. doi:10.1007/s11409-013-9103-x


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.


Epistemic beliefsSelf-regulatory modelInternet-based knowledgeInformation searching

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Yen-Lin Chiu
    • 1
  • Jyh-Chong Liang
    • 2
  • Chin-Chung Tsai
    • 1
  1. 1.Graduate Institute of Digital Learning and EducationNational Taiwan University of Science and TechnologyTaipei 106Taiwan
  2. 2.Graduate Institute of Applied Science and TechnologyNational Taiwan University of Science and TechnologyTaipei 106Taiwan