پیش‌بینی سازگاری تحصیلی دانشجویان بر اساس مهارت حل مسئله با میانجی‌گری ادراک از محیط کلاس: یک مدل‌یابی ساختاری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشگاه علامه طباطبایی

2 هیات علمی

10.22034/trj.2025.142576.2102

چکیده

روش پژوهش از نوع توصیفی _ همبستگی است که در آن برای تحلیل داده‌ها از روش الگویابی معادلات ساختاری استفاده شده است. جامعه آماری پژوهش شامل 2014 نفر از دانشجویان دانشکده ادبیات دانشگاه لرستان در سال تحصیلی 1403/1402 بود که از این تعداد، 890 نفر پسر و 1924 نفر دختر بودند. جامعه آماری بر اساس جدول کرجسی و مورگان، نمونه‌ای به حجم 357 نفر (135 پسر و 222 دختر) به‌طور تصادفی طبقه‌ای از میان دانشجویان انتخاب شد. نتایج این مطالعه نشان داد که مهارت حل مسأله به‌طور مستقیم با سازگاری تحصیلی دانش‌آموزان رابطه مثبت و معناداری دارد. علاوه بر این، ادراک مثبت از محیط کلاس به‌عنوان یک عامل میانجی، تأثیر مهارت حل مسأله بر سازگاری تحصیلی را تقویت می‌کند. تحلیل‌های آماری نشان داد که الگو پیشنهادی قادر است تغییرات قابل‌توجهی را در سازگاری تحصیلی پیش‌بینی کند، که این تأثیرات به‌ویژه در دانشجویان با ادراک مثبت از محیط کلاس، پررنگ‌تر است. این یافته‌ها اهمیت توجه به عوامل محیطی و روان‌شناختی در بهبود سازگاری تحصیلی را برجسته می‌کند و می‌تواند راهکارهایی برای بهبود عملکرد تحصیلی دانشجویان ارائه دهد. بنابراین نیازمند توجه هرچه بیشتر مسئولان دانشگاه ها و موسسات آموزش عالی به اهمیت این مباحث در بهبودسازگاری تحصیلی دانشجویان است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Predicting Students' Academic Adjustment Based on Problem-Solving Skills with the Mediating Role of Classroom Environment Perception: A Structural Modeling

نویسنده [English]

  • asghar Zamani 2
1 Tabatabai University
2 Academic staff
چکیده [English]

The present study aimed to determine the structural model for predicting academic adjustment based on problem-solving skills with the mediating role of classroom environment perception among students at the Faculty of Literature, University of Lorestan. This was a descriptive correlational study, and structural equation modeling (SEM) was used for data analysis. The statistical population of the study consisted of 5,000 students at the Faculty of Literature, University of Lorestan, during the academic year 2023/2024 (with 1,890 male and 3,110 female students). Based on the sample size and using the Krejcie and Morgan table, a stratified random sample of 357 students (135 male and 222 female) was selected. To collect data, the following questionnaires were used: "Academic Adjustment" by Baker and Siryk (1984), "Problem-Solving" by Heppner and Petersen (1982), and "Classroom Environment Perception" by Gentry, Gable, and Reiza (2002). The validity of the research instruments was assessed using content validity (qualitative method), and their reliability was evaluated through Cronbach's alpha coefficient as an indicator of internal consistency. Data analysis was conducted using structural equation modeling (SEM) with SPSS version 24 and LISREL software.

The results of the study showed that problem-solving skills had a significant positive direct relationship with academic adjustment. Furthermore, positive classroom environment perception served as a mediating factor, strengthening the effect of problem-solving skills on academic adjustment. Statistical analysis revealed that the proposed model was able to predict significant changes in academic adjustment, especially among students with a positive perception of the classroom environment. These findings highlight the importance of considering environmental and psychological factors in improving academic adjustment and can provide strategies for enhancing students' academic performance. Therefore, it is crucial for university officials and higher education institutions to give more attention to these factors in improving students' academic adjustment.

The present study aimed to determine the structural model for predicting academic adjustment based on problem-solving skills with the mediating role of classroom environment perception among students at the Faculty of Literature, University of Lorestan. This was a descriptive correlational study, and structural equation modeling (SEM) was used for data analysis. The statistical population of the study consisted of 5,000 students at the Faculty of Literature, University of Lorestan, during the academic year 2023/2024 (with 1,890 male and 3,110 female students). Based on the sample size and using the Krejcie and Morgan table, a stratified random sample of 357 students (135 male and 222 female) was selected. To collect data, the following questionnaires were used: "Academic Adjustment" by Baker and Siryk (1984), "Problem-Solving" by Heppner and Petersen (1982), and "Classroom Environment Perception" by Gentry, Gable, and Reiza (2002). The validity of the research instruments was assessed using content validity (qualitative method), and their reliability was evaluated through Cronbach's alpha coefficient as an indicator of internal consistency. Data analysis was conducted using structural equation modeling (SEM) with SPSS version 24 and LISREL software.

The results of the study showed that problem-solving skills had a significant positive direct relationship with academic adjustment. Furthermore, positive classroom environment perception served as a mediating factor, strengthening the effect of problem-solving skills on academic adjustment. Statistical analysis revealed that the proposed model was able to predict significant changes in academic adjustment, especially among students with a positive perception of the classroom environment. These findings highlight the importance of considering environmental and psychological factors in improving academic adjustment and can provide strategies for enhancing students' academic performance. Therefore, it is crucial for university officials and higher education institutions to give more attention to these factors in improving students' academic adjustment.

The present study aimed to determine the structural model for predicting academic adjustment based on problem-solving skills with the mediating role of classroom environment perception among students at the Faculty of Literature, University of Lorestan. This was a descriptive correlational study, and structural equation modeling (SEM) was used for data analysis. The statistical population of the study consisted of 5,000 students at the Faculty of Literature, University of Lorestan, during the academic year 2023/2024 (with 1,890 male and 3,110 female students). Based on the sample size and using the Krejcie and Morgan table, a stratified random sample of 357 students (135 male and 222 female) was selected. To collect data, the following questionnaires were used: "Academic Adjustment" by Baker and Siryk (1984), "Problem-Solving" by Heppner and Petersen (1982), and "Classroom Environment Perception" by Gentry, Gable, and Reiza (2002). The validity of the research instruments was assessed using content validity (qualitative method), and their reliability was evaluated through Cronbach's alpha coefficient as an indicator of internal consistency. Data analysis was conducted using structural equation modeling (SEM) with SPSS version 24 and LISREL software.

The results of the study showed that problem-solving skills had a significant positive direct relationship with academic adjustment. Furthermore, positive classroom environment perception served as a mediating factor, strengthening the effect of problem-solving skills on academic adjustment. Statistical analysis revealed that the proposed model was able to predict significant changes in academic adjustment, especially among students with a positive perception of the classroom environment. These findings highlight the importance of considering environmental and psychological factors in improving academic adjustment and can provide strategies for enhancing students' academic performance. Therefore, it is crucial for university officials and higher education institutions to give more attention to these factors in improving students' academic adjustment.

The present study aimed to determine the structural model for predicting academic adjustment based on problem-solving skills with the mediating role of classroom environment perception among students at the Faculty of Literature, University of Lorestan. This was a descriptive correlational study, and structural equation modeling (SEM) was used for data analysis. The statistical population of the study consisted of 5,000 students at the Faculty of Literature, University of Lorestan, during the academic year 2023/2024 (with 1,890 male and 3,110 female students). Based on the sample size and using the Krejcie and Morgan table, a stratified random sample of 357 students (135 male and 222 female) was selected. To collect data, the following questionnaires were used: "Academic Adjustment" by Baker and Siryk (1984), "Problem-Solving" by Heppner and Petersen (1982), and "Classroom Environment Perception" by Gentry, Gable, and Reiza (2002). The validity of the research instruments was assessed using content validity (qualitative method), and their reliability was evaluated through Cronbach's alpha coefficient as an indicator of internal consistency. Data analysis was conducted using structural equation modeling (SEM) with SPSS version 24 and LISREL software.

کلیدواژه‌ها [English]

  • Academic Adjustment
  • Problem-Solving Skills
  • Classroom Environment Perception
  • Structural Equation Modeling (SEM)