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Innovative Strategies and Student Academic Performance: Machine Learning Insights on International Students in Chinese Universities
37-60Views:234The higher education sector in China has faced unprecedented challenges recently due to the global COVID-19 pandemic. The influx of international students, a vital component of the nation's academic landscape, presented distinct challenges, including maintaining academic achievements through various online platforms, which necessitated innovative strategies to ensure that their educational pursuits remained rewarding despite these challenges. This study aims to explore the innovative strategies adopted by Chinese higher education institutions in response to the COVID-19 pandemic and examine their impact on the academic achievements of international students. This study employs a comprehensive approach that incorporates questionnaire surveys and dominant Machine Learning Algorithms, such as Multiple Linear Regression (MLR), Decision Tree Model (DTM), Support Vector Regression Model (SVRM), and K-nearest neighbors (KNN). By employing rigorous data-gathering approaches, our study aimed to address a set of particular questions: How did these innovative strategies improve students' academic performance in the face of environmental emergencies? To what extent did international students benefit from these adaptations? Through investigation of these concerns, our research provides insight into the effectiveness of these strategies and their possible significance for future educational methodologies. Innovative strategies positively correlated with student academic performance during the COVID-19 pandemic in Chinese higher Education. This research highlights how overcoming these challenges can have broader implications for shaping resilient global education systems in future crises. The study accurately predicted academic performance, highlighting the importance of innovative teaching approaches in the context of the COVID-19 pandemic. This study might influence educational policies and practices. Educational institutions can make informed decisions about emergency preparedness and development by assessing results using a creative approach. Our findings bring depth to the global conversation on higher Education under challenging circumstances, showing how Innovation might alleviate the adverse impacts on international students' learning experiences.
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The Influence of Employment Stress On the Academic Performance of Working Students: Perspectives from Pakistan
17-41Views:1131One must grasp stress's intricacy to develop and implement stress-reduction strategies. Employment-related stress on academic performance is becoming an acute concern for psychological and mental health in Pakistan. The current research focuses on how employment-related stress interferes with graduate students' academic performance in Parachinar, District Kurram Khyber Pakhtunkhwa, Pakistan. This investigation applies quantitative methods—the Govt. Postgraduate College Parachinar, District Kurram, Khyber Pakhtunkhwa Pakistan, completed a standardized questionnaire to 180 students from various academic disciplines.
The findings illuminate stress's intricacy. It may be utilized to establish and encourage more efficient and achievable strategies or techniques that improve academics and job satisfaction, inspiration, and effectiveness at the individual and organizational levels.
The research study concluded that 81.67% of male students suffered from employment stress. Student stressors include workload (31.67%), lack of time management (9.44%), interpersonal conflicts (20.00%), high study load (21.11%), and financial problems (17.78%), and the coping strategies being adopted by these students; Moral support (13.89%), Social support (30.00%), Financial support (45.00%), and Job enrichment (11.11%). The research concludes that addressing the highlighted concerns, counselling, and other successful coping strategies may alleviate academic and employment stress.
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Vocational Training Students’ Self-Assessment in Higher Education
223-231Views:299This paper is intended to clarify the phenomenon that lower achieving students tend to evaluate their own academic performance less accurately than those who are better in their studies. Former studies have found that lower performers generally overestimate while higher performers underestimate their performance. The current study analyses the self-assessment behaviour and efficiency among Hungarian higher vocational education students. We found that the lowest level of higher education students typically overestimate themselves. Over results strengthen the empirical evidences in former studies that higher-achieving students evaluate their performance more accurately than their lower achieving fellows. Furthermore we found that lower-achieving students tend to evaluate their performance less accurate and typically over-assess their examination results than high-achieving students, who generally evaluate themselves more accurate and rather underestimate. We analysed the difference between the two genders too. Compared to female students, male tend to evaluate their results more accurate and overestimate their own performance more.
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Organisational Culure and Academic Performance of Technical Management BSc Students
1-11Views:236Our study analyses the connection between perceived and ideal organizational cultures and academic results. A modified, self-managed OCAI questionnaire was used to measure perceived and ideal organizational cultures among engineering management students of the University of Debrecen Faculty of Engineering (N = 114). Our results reveal weak positive linear correlations between academic performance and perceived or ideal level of clan culture. In case of other culture types we did not find any consistent relationship. Based on our results students who consider clan culture ideal can expect better results than those who prefer other types. Among students who visit at least 61% of the classes those who reported fitting (or better fitting) perceived and ideal cultures tend to perform better in their studies.
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A Literature Review: Artificial Intelligence Impact on the Recruitment Process
108-119Views:20945This paper aim is to review the implementation of artificial intelligence (AI) in the Human Resources Management (HRM) recruitment processes. A systematic review was adopted in which academic papers, magazine articles as well as high rated websites with related fields were checked. The findings of this study should contribute to the general understanding of the impact of AI on the HRM recruitment process. It was impossible to track and cover all topics related to the subject. However, the research methodology used seems to be reasonable and acceptable as it covers a good number of articles which are related to the core subject area. The results and findings were almost clear that using AI is advantages in the area of recruitment as technology can serve best in this area. Moreover, time, efforts, and boring daily tasks are transformed to be computerized which makes a good space for humans to focus on more important subjects related to boosting performance and development. Acquiring automation and cognitive insights as well as cognitive engagement in the recruitment process would make it possible for systems to work similarly to the human brain in terms of data analysis and the ability to build an effective systematic engagement to process the data in an unbiased, efficient and fast way.
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Improving Emergency Call Accessibility via Location Technologies in Romania
19-36Views:242This study examines Romania’s progress in emergency caller location technologies and accessibility between 2020 and 2024, within the broader European context. Applying a PRISMA-informed review methodology, it draws on official reports, academic sources, and EU regulatory data to evaluate the implementation of Advanced Mobile Location (AML), HTML5 geolocation, and the Apel 112 mobile application Romania was among the first EU countries to deploy AML and subsequent performance metrics indicate notable advancements in geolocation accuracy through hybrid handset- and network-based methods. However, despite these advancements, the adoption of the Apel 112 app has declined, raising concerns about user trust, public awareness, and accessibility. To assess system inclusiveness, this study applies the International Classification of Functioning, Disability and Health (ICF) framework. Findings reveal that persons with hearing, speech, and cognitive impairments continue to face substantial barriers due to the absence of real-time text (RTT), video relay services, and universally designed interfaces. These results support both hypotheses: Romania has strengthened its technical infrastructure for caller location (H1), yet persistent accessibility and interoperability limitations remain (H2). The study concludes that inclusive design, user education, and cross-platform compatibility must become priorities for emergency communication policy to ensure equitable access for all users.
