Impact of the internet on English language learning among university students: mediating role of academic self-efficacy

The internet is a valuable resource in a technologically evolved society. The extant literature suggests that their scientific and educational usages are still limited. The current study asserts that the internet can provide new learning environments and opportunities for Chinese university students, hence increasing their motivation to learn. Particularly, the current study considers this to be the case for learning a foreign language (English), which leads to more efficient and effective language learning experiences, as well as more positive attitudes toward the efficiency of the internet for educational purposes. Purposive and convenience sampling techniques were employed to gather data from 15 public and private Chinese universities (406 students), those who are currently enrolled in English language courses. The analysis was performed using partial least squares-structural equation modeling (PLS-SEM) on smart PLS 4 software. Results revealed that student’s attitude toward the use of internet positively and significantly influence English language learning. Moreover, the mediating variable academic self-efficacy positively and significantly mediates the relationship between students’ attitude toward use of internet and English language learning. The current study recommends that students’ academic self-efficacy in learning a new language can be enhanced by giving them opportunities to learn internet skills. Further, students’ confidence in their academic abilities can be boosted using student-centered teaching strategies

Gender Based Linguistic Variations in Urdu Language and Their Role in Suppression of Females

Sociolinguistics deals with linguistic variations such as dialect, idiolect, genderlect, register etc. It deals with ways of using particular languages and the social roles of speakers of these languages.  It is the speaker-oriented approach. Genders have different characteristics in the use of language, which lead to the gender differences in language. The present study was conducted to analyze the gender-based linguistic variations (variations at discourse and communication level) in Urdu language. Deborah Tannen’s Genderlect theory is the theoretical Background of the study. She has presented six sets of language contrasts that are used as instrument to analyze male and female conversations. It is commonly believed that women language is more sophisticated, apologetic as compared to men. These differences are called gender preferential differences in a patriarchal society with their own fancies and whims. The hypothesis is that men and women have different ways of communicating, based on male and female perception of the world as they are made of different things and contrasting style. The qualitative paradigm used in this study. Direct observation, interview and tape recording are used as tools for the data collection. Recorded conversation has been transcribed and analyzed to provide data from which these issues have been discussed. The researcher has analyzed Urdu language conversation among Urdu speech community living specially in Sialkot, according to Tannen’s speech contrasts. The data was analyzed manually. The findings show that variations occur due to the use of various linguistic devices, style, topic of discussion, power etc. This study is limited to the Urdu speech community. The limitation of my research is that I observed the language of middle class Urdu speech community not the other classes. In this research, I only highlighted variations at communication level, and delimited all other variations such as morphological, syntactic, phonological variations. Future researchers can study these aspects. The study will benefit the whole society in creation of awareness about non-sexist language to give a psychological identity of females in Pakistan

Impact of Socio-Demographic Characteristics on the Pattern of Skin Diseases Attending Different Dermatology Department of Public Hospitals Quetta, Pakistan

Abstract Objective: The study was conducted to determine the pattern of skin diseases affecting by the socio-demographic characteristics of the patients visiting the dermatology department of public hospitals in Quetta, Pakistan. Methodology: The prospective cross-sectional study was undertaken using a self prepapred proforma to compile the data while interviewing the patients attending the Dermatology Department of two public hospitals of Quetta, Pakistan, in order to determine the relationship between the demographic characteristics of patients and pattern of skin diseases.    Results: A total of 503 patients were enrolled in the study. Majority of the participants (33.8%) were categorized in the age group of 21-30 years. The most common patterns of skin diseases seen in outpatient department were eczema (21.5%), scabies (19.7%) and bacterial infections (12.7%). Inferential statistics revealed a significant relationship (p=0.001) between pattern of skin diseases and age, education, house occupancy, location and living standards of the study participants. Most of the patients were found to be living in a combined family system (65.6%), with poor living standards (81.7%) and uneducated (51.1%). Conclusion The current study presented that eczema and infectious diseases were the most common pattern of skin diseases in Quetta and they are significantly related  with socio-demographics of the patients so it can be concluded that better health education, maintaining personal hygiene, and improvement in the standard of living may aid a lot in managing and preventing the common skin diseases

Unveiling the International Students’ Perspective of Service Quality in Chinese Higher Education Institutions

Foreign students’ satisfaction with the service quality of Chinese universities is essential for the sustainable internationalization of China’s higher education system. The present study employs a survey research method to bring in the foreign students’ perspective of the various aspects of service quality in seven key Chinese universities. Accordingly, 618 valid questionnaires were analyzed using descriptive statistics, principal component analysis (PCA), and analysis of variance (ANOVA). The study findings posit that, although foreign students affirm that teachers are supportive and well qualified, they have concerns about the English proficiency of instructors. Likewise, foreign students were not satisfied with the frequency of formal research meetings with their advisers and the assistance with research techniques and relevant literature sources. Overall, female foreign students were less satisfied than their male counterparts. Moreover, foreign students reported higher satisfaction from teaching services and learning resources, moderate satisfaction from advisory services, and meager satisfaction from the administrative and support services of their respective Chinese institutions. Besides, we found significant differences between sample Chinese universities on various constructs of service quality. Likewise, arts and social sciences students were less satisfied with the service quality of the institution as compared to their natural sciences and engineering counterparts. The policy implications of this research for various stakeholders are discussed

Islamic finance education: Current state and challenges for Pakistan

AbstractIslam stipulates its adherents to abide by religious principles in their economic transactions. The aim of this study is twofold. First, it accounts for the adherence of Shariah board members of Islamic banks with the Fit and Proper Criteria (FAPC) promulgated by State Bank of Pakistan (SBP). Second, it explores the current state of provision of Islamic finance education in the universities and madaris (i.e., Islamic seminaries) in Pakistan. This is the unique study in a sense because it draws attention of the stakeholders concerned (i.e., SBP, Higher Education Commission, Ittehad-e-Tanzimat Madaris-e-Deeniya & Ministry of Education) to revisit and make strategic milestones in congruent with the demand-supply gap of Islamic professional experts. Total sample consists of 21 banks, out of which the first five are full-fledged Islamic and remaining 16 are the commercial banks with Islamic banking branches. Descriptive research design has been employed to examine the supply of Shariah experts from madaris and universities in Pakistan. Our findings reveal the following: (1) Profiles of all the Shariah board members fully comply with the FAPC of SBP, and more than 50% of members represent multiple boards of Islamic banks. (2) With 26,000 madaris across Pakistan, 75% of the Shariah experts received their education from one Madrisa named Jamia-dar-ul-uloom, Karachi. Notably, province-wise stats highlight Punjab atop in terms of madaris (45% to 56%) in the country, though it produces less than 10% scholars for the Islamic banks’ Shariah boards. A similar situation persists in Khyber Pakhtunkhwa that has 1354 to 3136 madaris and only one Shariah scholar received education from this province. Karachi, the capital of Sindh province and hub of Islamic seminaries, solely contributed more than 85% SB members to the Islamic banks. (3) Among the top fifteen business schools of Pakistan, only four are offering a degree in Islamic finance. Moreover, these four schools have only eight full-time faculty members with a core degree in Islamic finance. This study suggests the practitioners to increase the supply of Shariah scholars and also strengthen the capabilities and skills of human capital regarding Islamic finance education through education, training, social awareness and capacity building

How big data analytics boosts organizational performance: The mediating role of the sustainable product development

Increasing haze pollution and its adverse effects on human health is pressuring academics and practitioners to search for different solutions for environmental sustainability around the world. Similar to other countries, Pakistan is also affected by air pollution, and smog has become a fifth season. In Pakistan, one of the main reasons of smog and air pollution is hazardous emissions from vehicles. As a result, the booming automobile industry of Pakistan is now affected by two major challenges: sustainable product development and organizational performance. To meet these challenges, the study has developed a conceptual model to find the effect of big data analytics on organizational performance by adopting a sustainable development program. For the elimination of standard method biases, the study has used a time lag approach to collect the data in three waves and receive 372 usable responses. The empirical results of PLS-SEM suggest that big data analytics have a positive effect on a sustainable product development and sustainable product development has a positive and significant impact on organizational performance. Moreover, mediation of a sustainable program development is also confirmed between big data analytics and organizational performance. The managerial and theoretical implications of these results are discussed

Born this way or formed this way? Distal personality traits and proximal self-efficacy of Malaysian students and their academic performance

It has been acknowledged that academic performance has important consequences in one’s career, thus, a better understanding of both distal and proximal predictors deserves consideration. Based on social cognitive theory, this study contributes to the limited research investigating the academic performance of university students in Malaysia using the trait model which considers the mediation of self-efficacy (proximal characteristic) in the relationship between student personality (distal trait) and academic performance (outcomes). In a sample of 264 participants, self-efficacy positively relates to academic performance and positively mediated effects of all traits (except neuroticism) on academic performance. Contrary to past research, conscientiousness, extraversion, and agreeableness do not exert direct effects on academic achievement but instead through self-efficacy. Openness to experience turned out to be the strongest predictor pointing to a need for in-depth investigations into this dimension and for more complex model incorporating other proximal attributes in predicting academic performance in future research