درخت حوزه‌های تخصصی

In the academic context, social networking sites (SNSs) have reshaped the way university students connect and communicate with each other, and the way they learn, thus influencing their identities and dimensions. This paper aims to investigate the impacts of SNSs use by students on their academic performance at the University of Taiz. A survey questionnaire was conducted to a total sample of 357 undergraduate students via personal administration and by an online platform to gather the initial information on their use of SNSs and the influence on their academic performance. The hypotheses of this study were studied and tested using descriptive statistics, regression model, T-test, and analysis of variance (ANOVA). The findings of H1 indicate that the impact of the use of SNSs on students’ academic performance was statistically significant Interaction with the teacher (II) Collaboration with coworkers (CC) Engagement (EN) and learning a cooperating (LC). Meanwhile, the results of H2 indicate no significant differences between the mean averages of the respondents’ answers for (purposes, the impact of the use of SNSs, and academic performance) due to gender, and age, respectively. Thus, using SNS as a learning tool has a great potential to improve students’ academic performance because it allows students to be more connected. Overall findings of this study indicate that the use of SNSs impact undergraduate students by factors are studied on academic Performance to some extent and suggested future strategies to enhance students’ awareness to manage their time, multitasking skills, and study activities to enhance their academic performance and achievements.

The volume of digital text data is continuously increasing both online and offline storage, which makes it difficult to read across documents on a particular topic and find the desired information within a possible available time. This necessitates the use of technique such as automatic text summarization. Many approaches and algorithms have been proposed for automatic text summarization including; supervised machine learning, clustering, graph-based and lexical chain, among others. This paper presents a novel systematic review of various graph-based automatic text summarization models.

Objective  The aim of this study was the effectiveness of Image Relationship Therapy on family cohesion and flexibility and happiness of couples with emotional divorce. Methods   The method of the present study is Semi-experimental before and after the experiment with a control group. The statistical population includes all couples in Qom who had an emotional divorce. Using the purposive sampling method, 100 couples were selected and an emotional divorce questionnaire was administered to them. A total of 30 couples were selected to participate in this study and were randomly assigned to two experimental groups (15 couples) and a control group (15 couples). Data collection tools include the Guttman Emotional Divorce Scale, the Olson Family Cohesion Questionnaire, and the Tagrian Couple Happiness Questionnaire. Hendrix Image Relationship training package was performed on the experimental group in 10 sessions of 90 minutes per week. The obtained data were calculated by analysis of covariance with SPSS -22 software and then analyzed by the researcher. Results  The results showed that there was a significant difference between the control and experimental groups (P≤0.05); in other words, Communication Imaging Training increased Cohesion - Family Flexibility and Happiness of couples with emotional divorce. Conclusion  As a result, communication imaging training can be used as an intervention to increase the flexibility and happiness of couples seeking divorce.