Full length article Accuracy and bias of ICT self-efcacy: An empirical study into studentsover- and underestimation of their ICT competences Koen Aesaert a, * , Joke Voogt b , Els Kuiper b , Johan van Braak a a Department of Educational Studies, Ghent University, Henri Dunantlaan 2, B9000, Ghent, Belgium b Department of Educational Sciences, University of Amsterdam, Nieuwe Achtergracht 127, 1001 NG, Amsterdam, The Netherlands article info Article history: Received 2 March 2017 Received in revised form 4 May 2017 Accepted 6 May 2017 Available online 7 May 2017 Keywords: ICT self-efcacy Bias Accuracy Primary education ICT competences abstract Most studies on the assessment of ICT competences use measures of ICT self-efcacy. These studies are often accused that they suffer from self-reported bias, i.e. students can over- and/or underestimate their ICT competences. As such, taking bias and accuracy of ICT self-efcacy into account, would improve the validity of these studies and the predictive power of the ICT self-efcacy measures used. Consequently, the general aim of this study is twofold. First, to explore the degree to which primary school students are under- and/or overestimating their ability in digital information processing and communication. Second, to identify student characteristics that are possibly related to the accuracy of ICT self-efcacy. Infor- mation on accuracy and bias of ICT self-efcacy was gathered by comparing studentsresults on an ICT self-efcacy scale and a performance based ICT competence test. Both instruments were administered to 378 sixth grade students from 58 primary schools in Flanders (the Dutch speaking part of Belgium). Information on the explanatory student characteristics was gathered through a questionnaire that was administered to the same students. The results indicate that primary school students make relatively accurate and positively biased judgments about their ability in digital information processing and communication. Further, the results indicate that primary school studentsactual ICT competences and previous ICT experience are related to their accuracy of ICT self-efcacy. As this study is one of the rst to investigate primary school studentsaccuracy and bias of ICT self-efcacy and to identify potential explanatory variables, it provides new insights into the nature of ICT self-efcacy. © 2017 Elsevier Ltd. All rights reserved. 1. Introduction In general, ICT self-efcacy comprises computer and Internet self-efcacy (Papastergiou, 2010) and is dened as a persons judgment regarding his or her ability in using the computer and the Internet (Papastergiou, Gerodimos, & Antoniou, 2011; Torkzadeh, Chang, & Demirhan, 2006). In most research, ICT self-efcacy is operationalized as a measure of strength. Similar to other types of self-efcacy strength such as math self-efcacy strength (Chen, 2003), ICT self-efcacy strength refers to the level or extent of ones belief of using the computer and the Internet. As such, ICT self-efcacy strength can vary from low levels (weak belief) to high levels (strong belief). The relation between variation in strength of ICT self-efcacy and regulation of studentsemotions, choices, and courses of actions towards using ICT, as well as the determination of their actual ICT competences, has been intensively acknowledged in the research literature (Aesaert, Van Nijlen, Vanderlinde, Tondeur, Devlieger and van Braak, 2015; Barbeite & Weiss, 2004; Sam, Othman, & Nordin, 2005; Sun, 2008). These studies succinctly indicate the importance of elevating studentslevel of ICT self- efcacy in order to develop their ICT competences and improve their use and feelings towards ICT. For example, results of Tsai and Tsai (2003) revealed that students with higher ICT self-efcacy tend to have better online information processing strategies. Aesaert et al. (2015) found that primary school studentsICT self-efcacy is positively related to their actual competence in locating and processing digital information, and communicating using a com- puter. Similarly, results of the international ICILS 2013 study indi- cate that the higher studentsbasic ICT elf-efcacy, the higher their computer and information literacy (Fraillon, Ainley, Schulz, Friedman, & Gebhardt, 2014). Further, ICT self-efcacy is posi- tively related to perceived ease of use and perceived usefulness of technology, and to behavioral intention to use technology (Aesaert et al., 2015; Courtois et al., 2014; Ong & Lai, 2006). A study of * Corresponding author. E-mail address: koen.aesaert@ugent.be (K. Aesaert). Contents lists available at ScienceDirect Computers in Human Behavior journal homepage: www.elsevier.com/locate/comphumbeh http://dx.doi.org/10.1016/j.chb.2017.05.010 0747-5632/© 2017 Elsevier Ltd. All rights reserved. Computers in Human Behavior 75 (2017) 92e102