Negative experiences are part of life and being the part of life, negative experiences, can have potential effects on individuals‘ cognitive abilities which may further affect their academics. To explore this issue, prime efforts in this research were made to determine the impact of university students‘ negative experiences on their academic achievement as well as on the development of cognitive distortions among them. Furthermore, role of cognitive distortions as mediator between negative experiences and academic achievement was to be calculated also. Study objectives were followed by developing Questionnaire of Negative Experiences, and Scale of Cognitive Distortions along with self-reported GPA (Grade Point Average). Validity and reliability of developed tools was established by means of expert judgment and statistical procedures consequently. Research tools were administered to university students of Pakistan. Total 2213 students of final year were selected from 7 universities through cluster sampling technique. To reach the conclusion, frequency, percentage, and mean score were calculated for descriptive analysis. Moreover, Structure Equation Modeling (SEM) was adopted to calculate mediating role of cognitive distortions between negative experiences and academic achievement. Results revealed that departmental and friends‘ problems caused decline in academic achievement of university students. In contrast, financial issues, emotional experiences, and family problems became triggers of academic performance. Upon facing a number of stressful events, several cognitive distortions (i.e. ―Emotional Reasoning‖, ―Dichotomous Thinking‖, ―Fortune Telling‖, ―Labeling‖, ―Discounting Positive‖, ―Mental Filtering‖, ―Self-Blaming‖, and ―Mind Reading‖) were developed among university students. ―Fortune Telling‖, ―Discounting Positive‖, and ―Self Blaming‖ were clear source of decline in academic achievement. Whereas students‘ GPA was seem to be increased due to ―Emotional Reasoning‖, All-or-Nothing, ―Labeling‖, Mental Filter, ―Maximization‖, and ―Mind Reading‖. Only five of the focused cognitive distortions were found to mediate the impact of negative experiences on academic achievement of university students: ―All-or-Nothing‖, ―Discounting Positive‖, ―Fortune Telling‖, ‗Mental Filter‘, and ―Self-Blame‖. Structure Equation Model regarding mediation role of cognitive distortions between negative experiences and academic achievement was finalized by determining model fit indices calculated in SPSS Amos. Developed model is a significant contribution to existing knowledge, which would hopefully serve as assisting theoretical background for educationists, psychologists, teachers and students. It can lead them to identify particular cognitive biases in order to suggest measures for eradication of negative effects from university students.
امتیاز اوجھلؔ امتیاز اوجھلؔ (۱۹۴۲ئ۔۲۰۱۱ئ) کا اصل نام رحمت علی اور اوجھلؔ تخلص کرتے تھے۔ وہ کوٹلی لوہاراں ضلع سیالکوٹ میں پیدا ہوئے۔ آپ ساحرؔ، عدمؔ ،جوشؔ اور فیضؔ سے بہت متاثر ہیں۔ ان کے کلام میں چاروں شعراکا رنگ اور اسلوب نظر آتا ہے۔ ان کا ابتدائی شعری کلام ماہنامہ’’گلِ رو‘‘ کراچی میں شائع ہوا۔ آپ ترقی پسند تحریک سے بھی منسلک رہے۔ (۹۳۳) ان کا پہلا شعری مجموعہ ’’نویدِ سحر‘‘ ۱۹۹۵ء میں شائع ہوا۔ دوسرا شعری مجموعہ ’’اجاڑ جنگل اداس موسم‘‘ ادارہ تخلیقات لاہور نے ۱۹۹۹ء میں شائع کیا ۔ تین شعری مجموعوں کے مسودے راقم الحروف نے انٹر ویو کے دوران ان کے پاس دیکھے جن کے نام ان دنوں زیر غور تھے۔ امتیاز اوجھلؔ غزل کے شاعر ہیں لیکن انھوں نے دیگر اصناف سخن میں طبع آزمائی بھی کی ہے۔ امتیاز انقلابی اور مزاحمتی شاعر ہیں۔ ان کی شاعری میں قدیم روایات سے بغاوت نظر آتی ہے۔ روشن خیالی کا اچھوتا پن ان کی شاعری میں بدرجہ اتم موجود ہے ان کی شاعری میں فکری گہرائی، حیاتِ تازہ کی طرف بلانے والی رہنمائی ،ہوش و خرد میں لپٹے ہوئے جذبوں کا والہانہ اظہار اور فرسودہ معاشرتی طرزِ زندگی پر ایک تعمیری ،مـثبت اور تنقیدی تبصرہ ملتا ہے جو تاریک اور خاموش سناٹوں میں لہراتی ہوئی روشنی کی گونج دار لکیر کی طرح اپنے وجود کا منظر پیش کرتا ہے۔آپ لفظوں کی نئی نئی ترکیبیں ،بندشیں اور استعارے اپنے من چاہے روپ میں ترتیب دیتے ہیں۔ فکری شاعری میں فلسفہ اور جدید سائنس کے متعلقہ پہلوئوں کو نظم کرنا خاصا مشکل مرحلہ لگتا ہے۔ اس کوشش میں امتیازاوجھلؔ کی یہ کوشش اردو شاعری میں ایک قیمتی اور درخشندہ اضافہ سے کم نہیں۔وہ جدید فلسفے کاایک اہم اور مشکل موضوع جدلیاتی مادیت اپنی شاعری میں بڑے خوبصورت انداز میں نظم کرتے ہیں۔ نمونے کے...
The present study investigates how English language learning interacts with the gender identities and roles of female learners at the University of Sindh, Jamshoro, Pakistan. Who learns what and how, is influenced by the learners’ gendered and sexualized identities (Pavlenko, 2004). Language learners have to navigate power relations within the classroom and their specific communities and develop understanding of their limitations and opportunities within these communities. Institutional practices and gender ideologies inhibit their access to networks which in turn affect their linguistic output and interactional opportunities. Within Interpretive epistemological framework eight female learners of final year (fourth year) Linguistics studying at IELL were interviewed and observed twice during one year to gather data for the present study. From the data it appeared that Pakistani females’ access to linguistic resources is mediated by cultural norms and societal expectations. Throughout their academic journeys the learners’ agency remained active due to which they were able to invest in their ESL learning and challenge socially imposed identities on them.
In Opportunistic Networks most of Internet''s basic assumptions do not hold true. Due to sparse density of nodes and frequent changes in network topology, an endto- end contemporaneous path may not exist. However, sporadic links emerging from coarse-grained mobility of nodes can be construed over a period of time, as presence of a complete path between a pair of nodes. Nodes hold a packet in permanent storage until an appropriate communication opportunity arises, which can help in further forwarding of the packet. In order to avoid packet loss, multiple copies of a single message are generally sent within the network, independently making their way to eventual destination. This design decision poses extra burden over network resources, and unnecessary utilization may result in degrading performance in resource-stringent environments. Hence, there is need to reduce this extra overhead, by determining e ective next-hop utility of nodes, and to better utilize network capacity with real time comprehension of dynamic network characteristic. Heterogeneity of nodes, in terms of capabilities or mobility patterns poses several challenges in de ning a utility function thatts all. Moreover, multi-hop routing protocols generally assume altruistic behavior of nodes. However, this assumption is not always true, as by agreeing to forward messages a node is contributing its resources such as memory, processing power, energy etc. Non-cooperative behavior may reduce e ective node density and can be devastating in opportunistic environments, where intermediary hops are required to share custody of messages. We target these issues in this thesis. In order to addressrst problem, we present a \Multi-Attribute Routing Scheme" (MARS) based on \Simple Multi-Attribute Rating Technique" (SMART) that collects samples of important information about a node''s di erent characteristics. This stochastic picture of a node behavior is then e ectively employed in calculatvii ing its next-hoptness. We also devise a method based on learning rules of neural networks to dynamically determine relative importance of each dimension. Hence, estimations based on an optimized combination of multiple parameters help in taking wiser decisions in relay nodes selection with inherent advantage of e cient utilization of network capacity. In second part of thesis, we analyze the aspect of nodes cooperation in challenged networks. We propose a novel framework to stimulate cooperation among nodes, which is deployed as an overlay to assist Destination-Dependent (DD) utility-based schemes. We envision that such an assistance mechanism to stimulate cooperation among nodes have the potential to help with practical deployments of DD utility schemes in real scenarios a icted with sel sh nodes.