Iranian Journal of Learning and Memory

Abstract Objective: The present study aimed to identify distinct subgroups of students based on a combination of cognitive-emotional variables including perfectionism, metacognitive beliefs, and self-efficacy, and to examine how these latent profiles are related to the procrastination. Method: A multi-stage cluster random sampling method was employed to select the participants. In the first stage, the university's faculties were considered primary clusters. From the total of faculties, six faculties were randomly selected. In the second stage, given the statistical nature of the "latent profile analysis", a sample of 365 students was selected using the convenience sampling method. Participants completed standard scales of procrastination, multidimensional perfectionism, metacognitive questionnaire, and general self-efficacy questionnaire. Data were analyzed using a person-centered approach and the statistical method of Latent Profile Analysis (LPA). Results: Latent Profile Analysis (LPA) revealed four distinct profiles: Adaptive/Self-Efficacious (21%), Maladaptive Perfectionists (26%), Strategic Procrastinators (34%), and Vulnerable/Avoidant (19%). A one-way ANOVA indicated significant differences in procrastination severity across profiles (F(3, 361) = 20.18, p < .001, η² = .14). Tukey post-hoc tests confirmed that the Vulnerable profile exhibited the highest level of procrastination (M_diff = 1.10, p < .001 compared to the Adaptive profile). Conclusions: The findings of this study, confirming the heterogeneity of the procrastination phenomenon, indicate that therapeutic interventions should not be the same; rather, they should be designed to suit the specific profile of each group (such as focusing on modifying metacognitive beliefs in strategic procrastinators or strengthening self-efficacy in vulnerable groups).

Abstract Objective: This study investigated the effect of wisdom therapy (general and personal) on academic procrastination among elementary school students.
Method: This quasi-experimental study used a pre-test-post-test design with two experimental groups and a control group. The population included 230 female students from Pardis 2 Primary School (grades 4–6) in Songhor Kolyaei city in 2021–2022. Fifty-one students identified as high academic procrastinators (top 25% in delayed homework submission) were randomly selected and assigned to experimental group A (n = 17), experimental group B (n = 17), and a control group (n = 17). Academic procrastination was assessed behaviorally through direct observation and systematic recording of delays in submitting a non-curricular assignment over three stages.
The experimental groups received six weekly 60-minute wisdom therapy sessions based on Dr. Kord Noqabi’s Wisdom Therapy (protocol year 2020), focusing on reflective thinking, identifying cognitive distortions, clarifying personal values, and creating action plans. The control group received no intervention. Data were analyzed using multivariate analysis of covariance (MANCOVA) in SPSS version 22.
Results: Both experimental groups showed a significant reduction in academic procrastination (p < 0.01), with personal wisdom therapy demonstrating a stronger effect than general wisdom therapy (p < 0.05).
Conclusions: Wisdom therapy effectively reduces academic procrastination among elementary students. Incorporating wisdom-based strategies into educational programs is recommended to enhance academic responsibility and student performance.

Abstract The aim of the present study was to determine the role of the achievement motivation and test anxiety in predicting students' self-handicapping and procrastination. The method was descriptive-correlational, and the statistical population included all young students of the University of Applied Sciences and Technology of East Tehran; who were studying in one of the faculties of this university in the academic year of 2017-2018. The Cochran's sample size estimation formula was used to determine the sample size, which were 340 people. The sampling was done on a basis of a random multi-step way. Edward E. Jon's self-efficacy scale, Herman's motivated progress, Solomon's and Rathblum's procrastination, and Sarason's test anxiety were used in the study in order to collect the data. The SPSS 24 and Pearson correlation and canonical correlation methods were used to analyze the data. The findings showed that predicting the variable of procrastination based on test anxiety variables and achievement motivation is significant (p .