Iranian Journal of Learning and Memory

Abstract Objective: This research aimed to investigate the relationships between future self-continuity, savoring beliefs, and academic procrastination with the academic grit of Urmia University students in the 2023-2024 academic year.
Method: This was descriptive and correlational research. The study's statistical population consisted of all Urmia University students in the academic year 2023-2024 (N=13,000). A total of 393 students were selected through convenience sampling. The data collection tools included the Future Self-Continuity Questionnaire (FSCQ) (2020), the Savoring Beliefs Inventory (SBI) (2003), the Academic Procrastination Questionnaire (APQ) (2012), and the Academic Grit Scale (AGS) (2017). Pearson correlation and multiple regression were used for data analysis.
Results: The results of the data analysis revealed a significant positive relationship between future self-continuity and savoring beliefs with students’ academic grit, and a significant negative relationship between academic procrastination and academic grit (P<0.01). Moreover, based on the results of multiple regression analysis, future self-continuity had the highest predictive power (β=0.304) for academic grit in students.
Conclusions: Based on the results of this study, strengthening future self-continuity, savoring beliefs, and skills for reducing academic procrastination is recommended to enhance the academic grit of students.

Abstract The aim of this study was to investigate the relationship of math anxiety with math self-efficacy and math attitude, considering the mediating role of numerical memory via the structural equation modeling. The research adopted a correlational method. The statistical population of the study comprised secondary school students from Oshnavieh city in Iran (N= 4280) in 2019. From this statistical population, 200 students were selected as the sample using the cluster random sampling method, and were administered the Plack and Parker math anxiety tests (1982), Wechsler Numerical Memory Scale (2003), Liu and Koirala Math Self-Efficacy Scale (2009) and the Fennma-Sherman Math Attitude Scale (1976). The structural equation modeling approach was used to examine the data using SPSS 26 and AMOS 26 software. The findings of the study indicated that students' math anxiety is directly influenced by numerical memory (p= 0.001), mathematical self-efficacy (p=0.01), and mathematical attitude (p=0.1). Additionally, it was observed that mathematical self-efficacy indirectly influences students' math anxiety via numerical memory (p= 0.05). Furthermore, the indirect effect of math attitude via numerical memory on students' math anxiety was not confirmed (p=0.54).   Based on these findings, it can be concluded that it is imperative to address both math self-efficacy and math attitude to reduce students' math anxiety. Consequently, it is recommended that educators create an environment that fosters a positive attitude towards mathematics lessons and enhances students' self-efficacy in mathematics.