The Impact of Sleep Patterns on Academic Performance and Social Integration among Medical Students

Introduction: The impact of sleep on student life is crucial, particularly for those in demanding fields such as medicine. This study examines the relationships between sleep patterns, academic performance, and social integration among medical students, who often face irregular sleep cycles and sleep deprivation due to rigorous academic demands. Aim: This study aims to assess how sleep issues affect academic achievement and social relationships among medical students. Method: Data were collected from 215 medical students through surveys and academic records. Quantitative data provided insights into sleep quality and academic performance, while qualitative interviews explored the effects of sleep on social interactions. Results: The findings revealed a significant correlation between sleep quality and academic performance, with students reporting better sleep hygiene achieving higher grades. Qualitative data indicated that poor sleep negatively impacts social interactions, leading to feelings of isolation and reduced social participation. Conclusions: The study highlights the importance of promoting good sleep practices in medical schools to enhance academic success and social well-being. Interventions aimed at improving sleep quality may help reduce burnout and improve overall well-being among medical students. Future research should focus on longitudinal studies to better understand the long-term effects of sleep on academic and social outcomes in this population.

Video Games and School Performances of Dakar High School Students

The triptych (Smartphones, Video games, adolescents) has imposed itself on the collective consciousness in the form of questioning to the point of becoming a social phenomenon. It thus raises concerns about the uses that adolescents make of it and the effects on their academic performance, which we proposed to study among middle school students from the Dakar academy inspection. Where appropriate, we used mixed methods with the collection techniques of questionnaire survey, semi-structured interviews respectively with middle school students, adults (parents, supervisors, teachers, etc.), participant observation and literature review. Concretely, before accessibility to video games, the middle school students were more idle and well-behaved, watched a lot of TV, played with their brothers and sisters or did household chores. The majority of young people had good, very good or excellent conduct and their averages were fair, fairly good or good. With access to a diverse digital environment, middle school students have passionately turned to video games. As a result, their learning time, concentration and submission to parental injunctions have declined significantly. This situation negatively affected their academic performance and encouraged bad behavior.

An Investigation on the Influence of Middle School Students'Grammar Learning Self-efficacy on Their Learning Performance

In middleschool English teaching,grammar instruction has always been an important and challenging aspect.Due to the strong influence of grammar explanation in Chinese,learning English grammar may be affected by negative transfer from their native language,which could pose certain obstacles to English acquisition.Self-efficacy,as a major emotional factor influencing learners'internal regulation strategies,has attracted wide attention from researchers both domestically and internationally for its impact on learning performance.High self-efficacy helps learners develop a more positive mindset towards learning,thereby contributing to improved learning performance.Therefore,this study focuses on investigating the relationship between grammatical self-efficacy and learning performance of English grammar among middle school students.This research contributes to a complementary understanding of grammatical self-efficacy among educators,enhancing their teaching skills,and effectively guiding students to learn English grammar with a more positive and healthy mindset,presenting a future grammar instruction in middle school English teaching.

A Probe into the Correlation Between Classroom Anxiety and Listening Performance of English Students

Anxiety has drawn more and more concern in the second language acquisition. This paper tries to probe how the anxiety English students feel in the classroom affect their listening performance. The paper is based a questionnaire conducted by 60 English majors and their listening grades in the proficiency test of TEM 4 in 2008 and its findings show close correlation between classroom anxiety and the students' listening performance. In addition, some strategies are recommended by the author to minimize the negative influence of classroom anxiety.

On Students' Self-Evaluation and Class Performance——An Empirical Study in College English Class

This paper aims to demonstrate whether students'self-evaluations influence their class performance.A questionnaire is designed and data is collected from 30 sophomore students in English class.The data analysis shows that students who have positive self-evaluation perform better and get higher class performance scores than students who have negative self-evaluation.

A Stacking Machine Learning Model for Student Performance Prediction Based on Class Activities in E-Learning

After the spread of COVID-19,e-learning systems have become crucial tools in educational systems worldwide,spanning all levels of education.This widespread use of e-learning platforms has resulted in the accumulation of vast amounts of valuable data,making it an attractive resource for predicting student performance.In this study,we aimed to predict student performance based on the analysis of data collected from the OULAD and Deeds datasets.The stacking method was employed for modeling in this research.The proposed model utilized weak learners,including nearest neighbor,decision tree,random forest,enhanced gradient,simple Bayes,and logistic regression algorithms.After a trial-and-error process,the logistic regression algorithm was selected as the final learner for the proposed model.The results of experiments with the above algorithms are reported separately for the pass and fail classes.The findings indicate that the accuracy of the proposed model on the OULAD dataset reached 98%.Overall,the proposed method improved accuracy by 4%on the OULAD dataset.

Application of Formative Assessment to Improve Art Students’Oral Eng lish Performance

This paper focuses on the advantages of formative assessment and explores a better application of it in English class to facilitate art students’learning and further improve their oral English performance.

Investigation on Relationship between Test Anxiety and Academic Performance of Nursing and Midwifery Students in Tabriz and Maragheh—Iran

Background and Aim: Given the dramatic decline in the ability of test due to test anxiety, the goal of this study was to evaluate the relationship between test anxiety and academic performances in students. Materials and Methods: This descriptive-analytical study was performed on 216 Iranian nursing and midwifery students in 2011-2012, utilizing Sarason Anxiety Inventory, demographic checklist and the average mark of students in the period of midterm and final exam. Multinomial logistic regression analyses by reporting odds ratios and their 95% confidence intervals were performed by SPSS17 software to assess the relationship between test anxiety and academic performances. Results: Mild, moderate and sever test anxiety was observed in 30.6, 43.1 and 26.4 percent of students respectively. Test anxiety was significantly related to academic performance (average), major and city. Also, there was 52.9% decrease for odds of having sever anxiety (compared to mild anxiety) with 1 point increase in average (OR = 0.471, 95% CI = (0.298 - 0.745) and p = 0.001). Conclusions: Due to inverse relationship between test anxiety and academic performance, performing preventive programs such as in time treatment of anxiety, empowering the students to deal with anxiety and conducting consulting services for how to studying are very important. Consequently it would be a big step in decreasing the test anxiety and therefore in improving the academic performance.

Effect of Mental Health Problems on Academic Performance among University Students in Pakistan

Scientific interest in student’s mental health experiences has been increasing in the last years due to their influence on students’learning processes,academic performance,and recently,the suicidal news of a student at a private university due to her mental health condition in Lahore Punjab,Pakistan,captured public attention.That incident also shifted researchers and scholars’attention on the much underexplored and tabooed sphere of the broader public health domain.Hence,the current study aimed to explore the relationship between mental health problems and Pakistani university students’academic performance.Participants were 540 senior semester students within the age range of 20–35 years taken from public and private institutes of Pakistan’s major cities,including Lahore,Islamabad,and Peshawar.Descriptive and inferential statistics was employed for data analysis.Pearson Product Moment Correlation,Hierarchical Regression analysis,and Independent sample t-test were used for data analysis in inferential statistics.The results of the study reveal that there is a strong positive association between mental health and improvement in academic performance.Mental health problems negatively affect the academic performance of university students.The findings of the current study were beneficial for shedding light on the ignorant area within the broader public health domain;the results are also helpful in raising awareness for not only students but also the parents and university administration to plan and design effective intervention strategies to provide proper mental health that resultantly promote academic excellence.

Associated Factors and Impacts of Social Phobia on Academic Performance among Students from the University of Parakou (UP)

Background: Social phobia disrupts students in their academic career. The aim of this research work was to study this anxious disorder impact on the academic performance among students from the University of Parakou (UP). Study methods: It was a descriptive cross-sectional study with prospective data collection among 363 students recruited through systematic random sampling from April to June 2015 at the campus of the UP. A questionnaire including the Mini International Neuropsychiatric Interview (MINI), the Liebowitz social anxiety intensity evaluation scale and the ASSIST was used for data collection in compliance with recommended ethical principles. Results and Conclusion Social phobia prevalence among students from the campus of University of Parakou was 11. 6% [CI95% = 10. 9 - 21. 2]. Its intensity was moderate (66.7%), medium (23.4%), severe (7.1%) and very severe (4.8%) only among female students. Moreover, gender, rural or urban living environment and field of study were statistically associated with this social phobia which reduced academic performance by 57.1%, among the studied population. However, 42.9% were not influenced in any way. Addiction to alcoholic beverages (23.8%) and anxiolytics (9.5%) were used to overcome the disorder. Although the risk of dependency to these substances was low, adverse effects on their health and socio-professional future were to be taken seriously.

The Relationship between Academic Performance, Achievement Motivation and Career Adaptability of Chinese High School Students

Given the importance of career adaptability to personal career and success,there is growing interest in how to cultivate youth's career adaptability in schools.This study explores the predictors of career adaptability and examines the mediating role of academic performance in the relationship between achievement motivation and career adaptability.Using the survey data of 147 Chinese high school students,a series of regression models find that academic motivation and academic performance have significant effects on career adaptability,as well as its four dimensions namely career concern,career control,career curiosity,and career confidence.Structural equation modeling further shows that achievement motivation can not only directly affect career adaptability,but also indirectly affect career adaptability through academic performance after controlling for the effects of gender,location,parent education,and family social and economic status.Research limitations and practical implications are finally discussed.

Exploring the Internal and External Factors that Influence Chinese EFL Students' Speaking Performance: A Case Study

This case study on one Chinese EFL learner examined both the internal and external factors that affect Chinese EFL learner's speaking performance. Three interviews and three tests have been conducted in the whole process, and the findings revealed:(1) interference from first language is the most influential factor that hinders speaking performance;(2) learner attitude significantly affects speaking performance;(3) learning strategies and practicing help improving performance.

Civil Engineering Students'English Metacognitive Strategies,Autono-mous Learning Competence and ListeningPerformance

In order to improve Englishlistening more effectively, the application status of metacognitive strategies and autonomouslearning competence is exploredbased on a questionnaire investigation among 120 civil engineering major in BJUT. The methods of correlation analysis and an independent sample t-test are employed.The results indicated that 1) their metacognitivestrategies, and the planning, monitoring strategy have positive significant correlations with the students'listening performance and listening auton-omous learning competence;2) There are significant differences in the use of metacognitivestrategies,the level of autonomous learn-ing competence between different levels of listening performance;3) The more accuracy of self-judgment is, the higher level Eng-lish listening performance is.

Relationship between Breakfast and Academic Performance of Primary and Middle School Students in Mianyang City

In order to understand the relationship between breakfast frequency and academic performance of grade 5 and grade 8 students, we conducted an investigation through a multistage cluster sampling design with 16,840 students (8017 5th graders and 8823 8th graders) from Mianyang city. Results show that: 1) 71.3% of fifth graders and 59.7% of eighth graders had breakfast every day of the week, and 9.7% of fifth graders and 7.5% of eighth graders had breakfast three times or less per week. 2) The number of times students eat breakfast per week has a significant impact on their comprehensive academic performance, which is reflected in the trend that the more times students eat breakfast, the better their overall academic performance is. Based on this, in order to help students eat breakfast more often, and further improve students’ academic performance, we will strengthen the publicity and education of students’ breakfast knowledge from multiple perspectives.

Problems Challenging the Academic Performance of Physics Students in Higher Governmental Institutions in the Case of Arbaminch, Wolayita Sodo, Hawassa and Dilla Universities

This study was conducted to examine problems that challenged academic performance of physics students in higher governmental institutions in the case of Arbaminch, Wolayita Sodo, Hawassa and Dilla Universities. Questionnaires, interviews and video recordings were used to collect relevant data for the study. Data from questionnaires was compiled and analyzed using a computerized data analysis package known as Statistical Package for Social Science SPSS 17.0. The Pearson chi-square test was used to compute to test association between dependent variable and independent variables and T-test was used to find out how academic performance varied with interest to subject matter. On the other hand, ANOVA test was used to test variation of the academic performance in study sites. Besides, percentages were used for comparison of data analysis. The findings reveal the existence of a significant influence of teachers both in fostering positive or negative attitude to subject (physics) and for their poor academic performance in lower class as well as in higher institutions. On the basis of the findings, the least percentage of students (16%) indicated that their current department was the best choice for them during application for admission. Whereas the highest percentage (84%) of sample class students was enrolled in department of physics without their interest and the academic performance (ESELS result), the highest percentage (70) of students who were admitted to department of physics was below 50%. The p values 0.01 and 0.00, respectively for students who are enrolled in department of physics with best choice and without their interest, are less than alpha level of significance (0.05), which reveals that, there is statistical significance academic performance deference between students in both cases. However, the difference is more significant for those students who are enrolled without their interest. By analysis of Pearson chi-square test summary in respective study sites, the p values 0.01, 0.007, 0.021 and 0.022 respectively are less than the alpha (α) level of significance of 0.05, which reveals that there is strong association between those variables. In the other corner of the ANOVA test analysis indicates that p value 0.01 is less than alpha level of significance 0.05. This reveals variation of academic performance of students between four higher governmental institutions where the study is made.

Effects of different sleeping patterns on academic performance in medical school students

In the past, efforts have been made to determine the influence of sleep quantity and its deprivation, on functioning efficiency of human beings. However, determination of sleeping patterns that could improve intellectual performance has been largely neglected. This study is designed to discover the effects of different sleeping patterns on academic performance among medical students. A descriptive study was carried out in King Edward Medical University in Lahore, Pakistan during a six-month time span from May 11th, 2011 to September 30th, 2011. Of the total population of 1350 students in King Edward Medical University, 591 undergraduates were included in the study. A questionnaire designed on sleeping patterns and academic performance was distributed in May 2011. What was described as outstanding students were greater in number in group 4 (7/19) 36.8% and group 6 (6/19) 31.6%. Above average students with sleeping patterns were in group 4 (13/37) 35.1% and group 6 (10/37) 27%. Average students were shown to have sleeping patterns of group 4 (11/25) 44% and group 6 (7/25) 28%. Below average students were shown to have sleeping patterns of group 4 (3/3) 100%. Most of our students had a reduction in the total amount of sleeping hours throughout the years. Midnight to 6 o’clock in the morning with an afternoon nap was the sleeping pattern that was most commonly seen in all groups. We concluded that different sleeping patterns do not affect the performance of medical students in the academic prospective. Many other factors may be involved in the lack of significant achievement, in order to prove that the sleeping patterns are not related to the academic performance, and more data would need to be collected.

The Impact of Social Media Networks Websites Usage on Students’ Academic Performance

Social Networks Sites (SNSs) are dominating all internet users’ generations, especially the students’ communities. Consequently, academic institutions are increasingly using SNSs which leads to emerge a crucial question regarding the impact of SNSs on students’ academic performance. This research investigates how and to what degree the use of SNSs affects the students’ academic performance. The current research’s data was conducted by using drop and collect surveys on a large population from the University of Jordan. 366 undergraduate students answered the survey from different faculties at the university. In order to study the impact of SNSs on student’s academic performance, the research hypotheses was tested by using descriptive analysis, T-test and ANOVA. Research results showed that there was a significant impact of SNS on the student’s academic performance. Also, there was a significant impact of SNS use per week on the student’s academic performance, whereas no differences found in the impact of use of SNSs on academic performance due to age, academic achievement, and use per day to most used sites. The findings of this research can be used to suggest future strategies in enhancing student’s awareness in efficient time management and better multitasking that can lead to improving study activities and academic achievements.

A Feature Learning-Based Model for Analyzing Students’ Performance in Supportive Learning

Supportive learning plays a substantial role in providing a quality edu-cation system.The evaluation of students’performance impacts their deeper insight into the subject knowledge.Specifically,it is essential to maintain the baseline foundation for building a broader understanding of their careers.This research concentrates on establishing the students’knowledge relationship even in reduced samples.Here,Synthetic Minority Oversampling TEchnique(SMOTE)technique is used for pre-processing the missing value in the provided input dataset to enhance the prediction accuracy.When the initial processing is not done substantially,it leads to misleading prediction accuracy.This research concentrates on modelling an efficient classifier model to predict students’perfor-mance.Generally,the online available student dataset comprises a lesser amount of sample,and k-fold cross-validation is performed to balance the dataset.Then,the relationship among the students’performance(features)is measured using the auto-encoder.The stacked Long Short Term Memory(s-LSTM)is used to learn the previous feedback connection.The stacked model handles the provided data and the data sequence for understanding the long-term dependencies.The simula-tion is done in the MATLAB 2020a environment,and the proposed model shows a better trade-off than the existing approaches.Some evaluation metrics like pre-diction accuracy,sensitivity,specificity,AUROC,F1-score and recall are evalu-ated using the proposed model.The performance of the s?LSTM model is compared with existing approaches.The proposed model gives 89% accuracy,83% precision,86%recall,and 87%F-score.The proposed model outperforms the existing systems in terms of the earlier metrics.

Evolutionary Algorithm Based Feature Subset Selection for Students Academic Performance Analysis

Educational Data Mining(EDM)is an emergent discipline that concen-trates on the design of self-learning and adaptive approaches.Higher education institutions have started to utilize analytical tools to improve students’grades and retention.Prediction of students’performance is a difficult process owing to the massive quantity of educational data.Therefore,Artificial Intelligence(AI)techniques can be used for educational data mining in a big data environ-ment.At the same time,in EDM,the feature selection process becomes necessary in creation of feature subsets.Since the feature selection performance affects the predictive performance of any model,it is important to elaborately investigate the outcome of students’performance model related to the feature selection techni-ques.With this motivation,this paper presents a new Metaheuristic Optimiza-tion-based Feature Subset Selection with an Optimal Deep Learning model(MOFSS-ODL)for predicting students’performance.In addition,the proposed model uses an isolation forest-based outlier detection approach to eliminate the existence of outliers.Besides,the Chaotic Monarch Butterfly Optimization Algo-rithm(CBOA)is used for the selection of highly related features with low com-plexity and high performance.Then,a sailfish optimizer with stacked sparse autoencoder(SFO-SSAE)approach is utilized for the classification of educational data.The MOFSS-ODL model is tested against a benchmark student’s perfor-mance data set from the UCI repository.A wide-ranging simulation analysis por-trayed the improved predictive performance of the MOFSS-ODL technique over recent approaches in terms of different measures.Compared to other methods,experimental results prove that the proposed(MOFSS-ODL)classification model does a great job of predicting students’academic progress,with an accuracy of 96.49%.

Investigation of the Academic Performance of College-to-University Transfer Students

Over the last decade, many universities/colleges have developed formal agreements which permit students from recognized college programs to be able to seamlessly transfer to a closely-related university program with advance standing. There has been some concerned raised that students that come to university from college may not be academically (or emotionally) prepared for the faster-paced university programs. This research, which was funded by an Ontario Council on Articulation and Transfer Faculty Fellowship, examines the academic performance of students in computer-related disciplines with a focus on comparing students who come to a university through a formalized college-to-university transfer agreement relative to students who enroll directly from high school. The comparisons will be based on metrics such as graduation rates, course failure rates, overall averages, course-level averages, and course-subject averages.