The Causal Model of Predicting Self-Regulatory Learning Strategies of Payame Noor University Students: The Role of Intelligence Beliefs, Achievement Goals and Educational Self-efficacy

Abstract:
The present investigation aims at examining the relationship among the Intelligence beliefs, educational self-efficacy, and achievement goals as well as their role in self-regulatory learning strategies (Cognitive and Meta Cognitive Strategies) of Payame Noor University students using a causal Model framework and through Path Analysis. In order to test the hypotheses, a sample of 600 students from Payame Noor University centers through multiple cluster sampling and stratified sampling were randomly selected, who answered a self-report questionnaire consisting of subscales of the intelligence beliefs (Abd-El-Fattah & Yates, 2006), achievement goals (Middleton & Midgley, 1997) and scale of educational self-efficacy and self-regulatory learning strategies taken from the Motivated Strategies for Learning questionnaire (Pintrich & De­Groot, 1990). The results indicated that the proposed causal model after revision enjoys a good fit index, and that the variables formed 34 and 30 percent of the total variance of cognitive and metacognitive strategies. In general, according to the results of this study, it was revealed that intelligence beliefs not only have a direct effect but also have an indirect impact on the students’ self-regulatory learning strategies through achievement goals and educational self-efficacy. The results indicated that students’ intelligence beliefs, especially incremental intelligence beliefs, through the mediation of achievement goals and educational self-efficacy, can be effective on the students’ self-regulatory learning strategies, and finally, on their performance. Therefore, it is essential that these beliefs be enhanced through enriching the living and learning contexts
Language:
Persian
Published:
Instruction and Evaluation, Volume:8 Issue: 32, 2016
Pages:
19 to 39
https://www.magiran.com/p1606260  
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