Siazga Research Journal

Exploring the Impact of Delayed or Insufficient Feedback from Thesis Supervisors on Postgraduate Scholars’ Timely Degree Completion

2026-04-01T21:27:51+00:00

This paper uses a mixed-methods approach in which quantitative and qualitative methods of research have been used to assess the quality of feedback, establish the reasons for delays in feedback, and evaluate the effects of disruptions and problems in feedback on students' academic performance and well-being. The findings of this paper indicate that the major reasons for delays in giving feedback to students include the supervisor's workload, lack of clarity and ambiguity in policies, and communication problems and gaps. These delays in feedback have an impact on students' academic progress, which in turn delays their graduation. To resolve and overcome these problems, this study proposes a framework to emphasize the importance of providing clear feedback timelines, communication, and institutional support to resolve delays. This framework aims to enhance the quality of postgraduate supervision through better feedback practices. In addition, this study offers suggestions for supervisors, students, learners, and institutions to improve feedback practices and resolve delays to enable students to complete their studies on time. Thus, by resolving these problems associated with feedback, institutions can enhance the quality of postgraduate learning and enable students to complete their learning objectives on time.

Overuse of Artificial Intelligence and Mental Health Problems among Youth in Pakistan

2026-04-02T01:42:38+00:00

This study investigates the association between the overuse of artificial intelligence (AI) and mental health outcomes among youth in Pakistan. As AI-driven technologies such as chatbots, learning tools, and algorithmic social media systems continue to integrate into everyday life, concerns regarding excessive reliance on AI and its potential psychological impact have grown. Despite the rapid adoption of AI-based platforms, limited empirical research has examined their mental health consequences within the Pakistani youth population. A quantitative, cross-sectional, correlational research design was utilized. Youth aged 15 to 25 years were recruited through convenience sampling from educational and community settings across Pakistan. The Artificial Intelligence Attitude Scale (AIAS) was used to assess AI overuse, while the Depression Anxiety Stress Scales–21 Items (DASS-21) measured mental health outcomes. Correlation analysis revealed significant positive associations between AI overuse and all mental health indicators, including depression (r = .42, p < .01), anxiety (r = .38, p < .01), and stress (r = .35, p < .01). Regression analysis further indicated that AI overuse significantly predicted depression (β = 0.42, t = 5.63, p < .001), anxiety (β = 0.38, t = 5.43, p < .001), and stress (β = 0.35, t = 5.83, p < .001), demonstrating that increased engagement with AI technologies corresponded with heightened psychological distress among youth. These findings support the hypotheses and suggest that excessive use of AI may contribute to higher levels of depression, anxiety, and stress. Overall, the results highlight the importance of promoting balanced and mindful AI use, encouraging digital literacy practices, and implementing mental health interventions to reduce the psychological risks associated with AI overuse among young individuals in Pakistan.

Challenges of Integrating AI in School Administration

2026-03-12T10:12:15+00:00

Globally, Artificial Intelligence (AI) has become a growing trend in terms of enhancing the efficacy of work and making suitable decision in every field particularly in educational administration. However, the major aim present study was to explore the challenges encountered by the institutional heads of secondary schools at Larkana District in integrating AI in their leadership. Qualitative research design was adopted and semi-structured interviews as data gathering tool to study the in-depth perceptions of school heads. The study involved all the institutional heads of secondary school of District Larkana as population while, took data from the 30. The analysis of data was done by utilizing the thematic analysis. The findings disclosed that there various challenges that hinder the successful adoption of AI in administration of school. The challenges are unreliable infrastructure, limited continuous professional development programs, pedagogical boundaries, technical challenges and support, limited cost, and biased assessment. This study recommended that there is dire need strategic planning to overcome these challenges.

Impact of ERM Implementation on Firms Financial Performance

2026-02-16T08:16:26+00:00

Enterprise Risk Management (ERM) has become one of the most important strategic frameworks in an organization that is attempting to navigate the uncertainties and improve decision-making in a highly volatile and complex world. In certain cases especially in the emerging economies where the firms are subjected to unstable markets, changing regulations, and institutional difficulties, the adoption of ERM is increasingly viewed as one way of leading to sustainable performance. Nevertheless, the achievement of the financial benefits of ERM is not steady enough, and the need to discuss the circumstances in which ERM can be value-generating. The present research will examine ERM implementation and financial performance of firms in terms of ROA, ROE and Q of Tobin with a moderating factor of presence of a corporate governance (CG). We use a multi-country panel dataset of Pakistan, Indonesia, and Malaysia (20192024) to estimate the effect of the governance structures on the ERMperformance relationship using a fixed-effects regression. The findings show that ERM has a positive impact on financial performance although its impact is much pronounced in companies with sound governance structures. Moreover, CG moderating effect is not the same in all countries with the strongest CG moderating effect being observed in more institutionally developed societies such as Malaysia. The paper finds that the governance quality is an important catalyst as it turns ERM into a value-generating strategic asset instead of a procedural exercise. These findings can provide real-world suggestions to companies, investors, and regulators operating in the emerging markets with the need to match risk management and governance excellence to promote resilience and sustainable development.

The Impact of Inquiry-Based Teaching on Student Achievement in Science

2026-01-27T08:30:06+00:00

The aim of present study was to analyze the impact inquiry-based teaching on learners’ performance in science subject at elementary schools of District Larkana. Quantitative design of research was adopted to analyze the students’ performance in science subject. The data gathering tool for current study was a teacher made pre and post-test questionnaire. It consisted of ten subject matter question in multiple choice questions (MCQs) type. The total marks were ten while passing were five. The results disclosed that students performed better when teacher utilized inquiry-based teaching method. Additionally, it was also found that the mean score of students in pre-test was 3.99 while, the mean score in post-test was 7.6. It was concluded from the results that the inquiry-based teaching is effective for enhancing the performance of students in science subject. However, it was recommended that concerned authorities should take such teaching method into consideration while, developing the curriculum.

The Empowerment of AI in Private School Teachers in Karachi

2026-01-03T13:01:37+00:00

The research is about the contribution of artificial intelligence (AI) to empowering teachers in private schools in Karachi. It also examines the influence of the AI-powered tools on mentorship processes, professional growth, and instruction processes. Using a mixed-methods approach, including surveys, interviews, and focus groups with trainee, in-service, and volunteer teachers, the study identifies both opportunities and challenges in AI implementation. It enables the researcher to identify the opportunities and barriers in the implementation process of AI in education. The results show that trainee teachers are more likely to be digitally ready and positively perceive AI than in-service teachers. This is because of a greater exposure to technology-based training. The application of AI was identified to be useful in lesson planning, customized instructions and reducing the workload. Furthermore, when it comes to suggesting feedback mentorship platforms as TeachBoost and CoachHub have not been used extensively. This is due to the rising challenges that the system is encountering. These key challenges are the low digital literacy, inadequate infrastructure, lack of institutional support and ethical issues. The research supports the conclusion that AI literacy programs must be considered as the resources necessary to close the gap of its adoption. This will enable them to get all the benefits of AI in teacher training and professional development in Karachi.

The Impact of Lead-Time Variability on Supply Chain Operations of Retail Stores and Supermarkets in Karachi During the Pandemic Situation

2026-04-02T02:50:09+00:00

The retail sector plays a vital role in Pakistan's economy, with numerous retail outlets and supermarkets operating in Karachi and across the country. Karachi's retail landscape is diverse, featuring many grocery stores and supermarkets that serve both local and international modern trade. This study examines how lead-time variability impacts supply chain operations in supermarkets and grocery stores in Karachi, particularly in the context of the challenges posed by the pandemic. Lead-time, a critical factor, exhibits variability that affects overall supply chain performance. The research aims to investigate how this variability influences supply chain operations, with a focus on the moderating effects of the pandemic. Data was gathered through surveys distributed to supply chain managers from various supermarkets and retail stores in Karachi, each employing different strategies during the pandemic. Statistical analysis, specifically regression techniques, was utilized to interpret the results. The findings indicate that lead-time variability (LTV) has a significant impact on supply chain operations (SCO), and that the pandemic substantially moderates the relationship between lead-time variability and supply chain performance.

Environmental pollution and Health Dynamics in developing nations

2026-02-08T20:10:30+00:00

Ensuring lifespan and good health became a hot concern for academics and governments. The literature has addressed a number of determinants, including socioeconomic factors. However, there are few empirical research on this topic in developing nations with low health indicators, such as Pakistan, Bangladesh, India, Nepal, Afghanistan, Iran, and Indonesia. This project looks at how economic growth, environmental degradation, and renewable energy affect life expectancy between 1991 and 2023. The Granger Casualty Method is used in this investigation. The research findings showed that economic development and renewable energy are statistically significant, but environmental pollution is not. The life expectancy is positively impacted by economic growth and renewable energy, in addition to increasing marginal effects. Additionally, there is indication of a causal affiliation amid naturallife prospect and fiscal evolution, environmental pollution, and renewable energy. In order to increase people's longevity, the study recommends making a financial adjustment to address health-related issues brought on by a lack of medical facilities and deprived cleanness. Because they will enhance fitness results without sacrificing monetary progress, clean energy investments are essential.