Article ID Journal Published Year Pages File Type
348207 Computers & Education 2015 10 Pages PDF
Abstract

•Variables predicting students' online information searching strategies (OISS) were identified.•Advanced epistemological beliefs in speed of learning was related to better OISS.•Students having naive epistemological beliefs in ability to learn had lower level OISS.•Mastery-approach and mastery-avoidance goals differentially affected the use of OISS.•Rational and avoidant decision styles differentially affected the use of OISS.

This study examines the extent to which epistemological, motivational, decision-related, and demographic variables predict college students' use of online information searching strategies (behavioural, procedural, and metacognitive strategies). The participants included preservice teachers (N = 538) from 13 universities in different parts of Turkey. Stepwise multiple regression analyses were conducted to identify the variables predicting each online information searching strategy. The results revealed that online information searching strategies were best predicted by epistemological beliefs and then decision-making styles, web search experience, and goal orientations. Students who had advanced epistemological beliefs in speed of learning tended to have better behavioural, procedural, and metacognitive strategies, while students having naive epistemological beliefs in ability to learn had lower level online searching strategies. Students having more web search experience had better online searching strategies. Additionally, as the level of students’ mastery-approach goals increases, the use of procedural and metacognitive domain strategies increase as well, while the increase in the level of mastery-avoidance goals were related to the use of less behavioural domain strategies. Finally, students having rational decision styles were more likely to use higher levels of online information searching strategies, while students with avoidant styles tended to use less behavioural and procedural domain strategies.

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