This study scrutinizes the role of AI literacy and ChatGPT-3 in enhancing critical reasoning and journalistic writing competencies among 50 third-term journalism students at Tajik National University. Given the escalating relevance of AI across sectors, including journalism, we aim to highlight the potential advantages of incorporating AI utilities in journalism pedagogy. We utilized a mixed- methods approach, comprising both quantitative and qualitative data collection techniques, for a comprehensive examination of the influence of AI literacy and ChatGPT-3 on student skill development.We gathered insights via surveys and interviews, revealing the impact of AI on learning outcomes. Our findings suggest a significant improvement in students' critical thinking and journalistic writing skills
with ChatGPT-3 usage. The integration of AI tools in the classroom encourages in-depth analysis and collaboration, thereby enhancing students' writing skills. The results underline the importance of AI literacy in journalism education, preparing students for the rapidly transforming, AI-centric journalism industry.

In an important way, this study investigates various aspects of community development and social support among participants in computer technology-enhanced distance education programs. The current analysis focuses on the characteristics that define communities and how students build and maintain them. Drawing on a series of interviews with 17 students, the study highlights the importance of community and its contribution to supporting them. This process is very important in developing a sense of community among students. Students derive satisfaction from the temporal intimacy of live lectures and the associated whisper facility for socializing in Web Relay Chat. They also exploited the near-simultaneous use of email and the timing of assignment submissions to subtly initiate email exchanges among themselves, as observed in the study. Overall, the interviews conducted in the study indicated that a strong sense of community benefits both individuals and programs, supporting educators' efforts to create such communities for online learners.

This study examines the correlation between distributed leadership practices of principals, the academic performance of students, and the school climate in government secondary schools in Kohat, Pakistan. It investigates the relationship between the distributed leadership approach of principals and the school atmosphere, as well as its impact on academic achievement. The research involves 30 principals and 198 teachers who completed surveys on distributed leadership practices and school climate. Descriptive statistics, Pearson correlation coefficient, and regression models were used for data analysis. The study found a significant correlation between the adoption of distributed leadership by principals and the overall school climate. Furthermore, a moderate correlation was observed between students' academic achievements and the distributed leadership approach of the principal. The research suggests that a principal's distributed leadership positively affects school climate and leads to improved student achievement, although it also indicates a negative impact on students'
academic performance.

The study determined the connection between teachers' affective commitment along with emotional exhaustion among students with the mediation of students' self-efficacy, intrinsic motivation, and extrinsic motivation in Pakistan. 309 responses have been collected from the students of HEIs in Karachi whereas PLS-SEM was employed to analyze data. Teachers’ affective support positively impacts students' self-efficacy and intrinsic and extrinsic motivation, whereas students' self-efficacy and extrinsic motivation harm students' emotional exhaustion. Regarding mediation analysis, the study revealed that Teachers' affective support harms students' emotional exhaustion with the mediating effects of students' self-efficacy as well as extrinsic motivation. Practitioners or educational psychologists must realize the likelihood that students' motivation and self-efficacy are possible approaches in which teacher affective support is associated with emotional exhaustion when administering such
interventions.

Past literature has shown that academic procrastination shares a negative association with an internal locus of control and self-variables, including self-esteem, self-regulation and self-efficacy. These self-variables may even have a negative effect on students’ academic performance. The aim of the current study is to explore whether students who have higher creative self-efficacy are less likely to experience academic procrastination. A correlational research design is used. Hence, the current research determines the relationship between academic procrastination, locus of control, and creative self-efficacy in Pakistani undergraduate students. Pearson's Product Moment Coefficient of Correlation is calculated. There are significant correlations between the three variables. Regression analysis indicates that both variables make a significant contribution towards academic procrastination. Results are discussed in light of the literature review.

This was an experimental study that has been conducted while taking BS Physics students from a Public sector university based in Lahore. The independent variable for the study was the Metacognitive skills development strategy (Thinking Aloud) enhanced with Cooperative Learning whereas the students' Metacognitive skills were the dependent variable. The sample (two groups, comprising 35 students in each) for the study has been selected with the help of Convenient Sampling. One of them was the experimental whereas the other was a controlled group. The Quasi-Experimental nonequivalent pretest-posttest control group design was used for the conduction of this research. The researcher used a performance test named "Metacognitive Skills Assessment Tool" (MSAT) adapted from (Ali, Siddiqui, & Tatlah, 2020) for the data collection. The results show that the intervention has a
considerable impact on the development of university students' metacognitive abilities.

This study seeks special education teachers’ perception of visually impaired students’ social adjustment in inclusive settings with qualitative & exploratory design. The sample of the study included 20 teachers working in inclusive schools in the Lahore district. A self-developed semi-structured interview protocol was administered to collect data with a purposive sampling technique. The instrument’s validity was assured by expert opinion (N=02). The instrument's reliability was confirmed through an extensive literature review. Four major themes were drawn from the thematic analysis of data i.e., teachers’ perception, problems of visually impaired students, peers influence, and teachers’ efforts. Findings revealed teachers perceive orientation and mobility, supportive behaviour, the least restrictive environment, assistive technology, and motivational support as major requirements for social adjustment of visually impaired students in an inclusive set-up. The study recommended appropriate training should be provided to teachers of inclusive settings about the social adjustment of visually impaired students.

This research was done to explore the head teachers’ transformational leadership style, to see its impact on students’ achievement. The descriptive quantitative and survey approach was applied to conduct this research. The data were attained from secondary school teachers about the transformational leadership style of their heads through a five-point questionnaire. The matriculation results of students from sampled schools were also taken to see the effect of the head's leadership style on students' achievements. The purposive sampling method was used to collect data. Eight representative schools were selected from the district Lahore cantonment area and fifteen teachers were selected from each school to collect data and analyse SPSS. The data is presented in frequency distribution tables. Descriptive and influential statistics were applied to infer from data. It revealed that school heads with transformational leadership styles and strict rules regulations clear goals and values had a high effect on students’ achievements.

The purpose of this study was to analyze the relationship of emotional intelligence with academic resilience. A sample of 400 students were taken from 10 different departments of the university of Malakand. These 10 departments were further accumulated into 3 faculties i.e. 1. Faculty of Physical Sciences, 2. Faculty of Social Sciences, 3. Faculty of Arts and Humanities.  Among these, 4 of the departments were taken from physical sciences, 3 from social sciences and 3 from arts and humanities. The data was collected through simple random sampling technique. The first instrument was an emotional intelligence scale which was self-report consisting of 45 items of Likert scale, second instrument was academic resilience scale of 27 items, self-report, Likert scale was used. Data was analyzed through SPSS by applying descriptive statistics and correlation between variable i.e. emotional intelligence and academic resilience. The study found positive correlation between emotional intelligence and academic resilience.  

"How does our minds connect to dissatisfaction in relationship with others and the mindset that arises at a result hereof a connection?" is a question that needs an answer. The researchers aimed to survey university students. Examining the interplay between anxiety, mental wellness, and happiness, this research used an overall correlational methodology. Three hundred individuals, comprising both undergraduates and graduates, were selected from a variety of schools using a purposive sampling approach. The collected data was sorted and evaluated using SPSS (26). There was a negative link between interacting anxiety and both cognitive health and life happiness, according to the findings of the correlational analysis. On the other side, living a fulfilled life was positively correlated with psychological well-being. Anxiety about social interactions and overall pleasure are both influenced by an individual's mental health, according to model-wise regression with lines analysis.