scholarly journals Relationship between Social Support, Problem-Solving Skills, and Resilience with Hardiness among First-Grade High School Students in Sari

2020 ◽  
pp. 85-92

Background: Resilience is one of the factors that can prevent psychological problems among young people and adolescents. The purpose of the present study was to design and explain a psychological resilience model based on the feeling of social support through hardiness among high school students in Sari, Iran. Materials and Methods: The present descriptive-correlational study was carried out on a total of 280 first-grade students in the high schools of Sari selected using multistage cluster sampling. Resilience questionnaire, social support questionnaire, and problem-solving questionnaire were employed for data collection. The Pearson’s correlation coefficient and structural equation modeling were utilized to analyze the data using SPSS.22 and AMOS.22. Results: The mean age values of the male and female students were reported as 13.4±2.4 and 13.8±2.5 years, respectively. The obtained results of the current study showed that there was a positive relationship between social support with resilience and hardiness. Hardiness also mediated the relationship between social support and resilience. Among the components of social support, the most influential factor was related to family support, and the most effective factor in resilience was the notion of competence and acceptance of love. In addition, the most effective factor in hardiness was the component of commitment. Conclusion: The results of the present study revealed that hardiness and resilience increased with the enhancement of social support. The impact of social support on resilience also increased partially as a result of increased hardiness.

Author(s):  
Pawan Tyagi ◽  
Christine Newman

Preparing high school students for engineering disciplines is crucial for sustainable scientific and technological developments in the USA. This paper discusses a pre-college program, which not only exposes students to various engineering disciplines but also enables them to consider engineering as the profession. The four-week long “Engineering Innovation (EI)” course is offered every year to high school students by the center of outreach, Johns Hopkins University. EI program is designed to develop problem-solving skills through extensive hands-on engineering experiments. A team consisting of an instructor, generally a PhD in Engineering, and a teaching fellow, generally a high school science teacher, closely work with students to pedagogically inculcate basics of core engineering disciplines such as civil, mechanical, electrical, materials, and chemical engineering. EI values independent problem-solving skills and simultaneously promote the team spirit among students. A number of crucial engineering aspects such as professional ethics, communications, technical writing, and understanding of common engineering principles are inculcated among high school students via well-designed individual and group activities. This paper discusses the model of EI program and its impact on students learning and their preparation for the engineering career.


2021 ◽  
Vol 2 (1) ◽  
pp. 42-53
Author(s):  
Dyah Ayu Setyarini ◽  
Zainal Arifin Imam Supardi ◽  
Elok Sudibyo

This research aims to improve senior high school students’ physics problem-solving skills through learning used IBMR learning model. This research was a pre-an experimental study with a one-group pre-test and post-test design. The Methods of data collection used validation and test. The materials used to teach were valid category by two experts and can be used to practice physics problem-solving skills. The average post-test score physics problem-solving ability was 73.24 with an N-gain of 0.59 was classified as moderate. The success of IBMR learning model-based devices in practicing problem-solving abilities can be seen in the increase in the average score in each indicator of problem-solving abilities. The indicator of understanding the problem had the highest post-test average score of 94.58 with an N-gain of 0.89 in the high category. The problem-solving indicator had the lowest posttest average score was 58.22 with N-gain 0.39 and mean that it was the moderate category. Based on the results study, it can be concluded that the learning used by IBMR learning model can practice the ability to solve physics problems on heat material and its displacement. Learning with the IBMR learning model was expected to train students in solving physics problems. The stages in the IBMR learning model can help students


Author(s):  
Ariana-Stanca Vacaretu

Mathematics is or it should be about problem solving and math thinking. However, what mathematics students learn in schools is more about procedures for solving different types of math exercises and problems. In many cases, students learn by heart algorithms and words (math concepts) and use them for solving different math tasks. School math is very far from what mathematicians do and, in many cases, doesn’t motivate students for learning math. This paper presents the way we organized the assessment of the students’ skills developed through math research workshops and some of the assessment results. Even though we didn’t assess all the competences the students develop through the math research workshop, the findings show that the students certainly develop their problem-solving skills.


2015 ◽  
Vol 2015 (4) ◽  
pp. 43
Author(s):  
Hanaa Loutfy ◽  
Yossra Osman ◽  
Abdullah Najjar ◽  
Meera Abu Soufah ◽  
Abdul Salam Abd ◽  
...  

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