Current Status of Key Competencies among Medical Students: A Latent Profile Analysis

The purpose of this study was to understand the overall level of key competencies of medical students and explore the potential profile of key competencies, promoting quality education, and improving the quality talent cultivation in medical colleges. A stratified random sampling method selected 734 medical students from four medical colleges in Chongqing Province of China. A general information questionnaire and a key competencies survey questionnaire were used to conduct the survey. The overall score and scores of each dimension of key competencies were analyzed. Latent profile analysis was conducted to classify the key competencies of medical students and compare the distribution differences of demographic variables among different categories. The results showed that 26% of medical students have never heard of the concept of key competencies, and 59% of them are not familiar with the content related to key competencies. The score of key competencies is 3.66 ± 0.60, with the highest score in the dimension of responsibility and the lowest score in the dimension of humanistic accomplishment. The latent profile analysis classified them into three categories: “low key competencies group (14.71%)”, “medium key competencies group (36.79%)”, and “high key competencies group (48.50%)”. The R3STEP regression analysis results showed statistically significant differences in educational level and whether they served as student cadres among different key competencies categories of medical students. This paper discusses three different potential key competencies categories among medical students, and the overall level of key competencies is relatively good. However, medical students lack a comprehensive and systematic understanding of key competencies. Humanistic accomplishment, healthy living, and practical innovation are the three dimensions with lower scores and should be given more attention. Medical colleges should integrate the concept of key competencies into teaching and implement it in medical practice to cultivate more high-quality medical talents for society.

Current Situation Analysis and Enhancement Countermeasures of Resilience of College Polytechnic Students under the Perspective of Positive Psychology

The problem of the mental health education of college students is related to the quality of their education,and the improvement of the level of resilience provides a new perspective for enhancing the effectiveness of the mental health education of science and engineering students.With the investigation of science and engineering graduate students of a university in Guangxi,the resilience level of graduate students of science and engineering was investigated.Through the investigation,it is found that the overall resilience of science and engineering students is in the upper middle level,and the internal manpower and external support scores are high,and the two are significantly related;there are certain differences between the dimensions of internal manpower and external support,and the tutor guidance style and family relationship will significantly affect the resilience of science and engineering students.

Analysis of Non-English Major College Students’Test Anxiety in CET-4

Test anxiety, which means individuals show excessive worry, nervousness and anxiety in examination contexts, is becoming a more and more common phenomenon. A moderate level of test anxiety will motivate students while a too high or too low level of test anxiety will influence students’ academic performance and their cognitive abilities. Most present researches are focused on secondary school students or on the final exam of a specific school. Few researches on college students and standard tests can be found. Therefore, the researcher took 255 college students as samples to investigate the test anxiety level of non-English majors, their attitudes towards different test tasks (ATDTT) and the correlation between them. The results of the research are as follows: Firstly, the students from non-English majors are at the lower of a moderate test anxiety level in CET-4 and there is no significant gender difference. Secondly, among the four sections in CET-4, students are most positive in writing, less positive in translation and reading, and the least positive in listening. Thirdly, students’ ATDTT in CET-4 are negatively correlated with total test anxiety, cognitive anxiety and emotional anxiety. The researcher hopes this research can offer some help to teachers and students in need.

Analysis of the Necessity and Modalities of Imparting Death Education to Medical Students Undergoing Training in Oncology Departments

Patients with advanced-stage tumors may experience various psychological problems that can have a significant impact on the effectiveness of cancer treatment and the quality of their survival.Therefore,it is crucial for oncologists to prioritize addressing the psychological issues that patients encounter throughout the diagnosis and treatment process.As future frontline healthcare professionals,oncology medical students should receive education on end-of-life care early on in their training.This will enable them to develop a profound appreciation for the value of life,deliver improved medical services,and contribute to the humanization of medicine.Furthermore,they will be able to provide terminal patients and their families with effective professional guidance,assisting patients in finding peaceful endings with minimal pain and helping families come to terms with the inevitable realities they face.Moreover,this education can effectively enhance their sense of responsibility toward life and cultivate a positive and optimistic attitude toward their own lives.

International Students’ Feeling of Shame in the Higher Education: An Intersectional Analysis of Their Racialised, Gendered and Classed Experiences in the UK Universities

The literature on international students’ experiences frequently depicts them within a ‘deficient’ framework, highlighting their perceived lack of essential skills for managing their studies. Moreover, international students’ emotional experiences are often construed as personal and psychological attributes, with their emotions viewed as transient and pathological phases that they will eventually overcome to assimilate into the local context. However, there exists a dearth of literature investigating international students’ experiences from a sociological perspective, particularly concerning their emotional experiences within the broader social and political milieu. Utilizing a longitudinal research design to monitor 25 Chinese international postgraduates from multiple universities in London and Glasgow over the course of one year, this study illuminates the racialised, classed, and gendered dimensions of international students’ experiences in UK higher education through an exploration of their feelings of shame. Drawing on the research findings, it is evident that power relations operate insidiously and covertly to systematically frame international students’ experiences as personal or cultural ‘deficiency’. This process represents a form of misrecognition, which manifests in racialised, gendered, and classed feelings of shame, experienced at the personal level as insecurity, ‘stupidity’, exclusion, and self-doubt. Consequently, social and cultural inequalities within higher education are often situated at the individual level.

Gifted Students’Special Educational Programs in France:An Analysis of Students’Needs as Perceived by Headmasters-A Secondary Publication

Some French public middle schools offer gifted students the opportunity to pursue their education in general classes,while benefiting from specific facilities within the framework of a dedicated educational program.In this study,we sought to identify and analyze the needs of these students as perceived by the headmaster of each middle school involved.The results highlight two main student needs,common to all these programs(uneasiness and difficulties in peer relationships)as well as needs specifically mentioned by some headmasters(non-adaptive behavior).

Application Analysis of Nursing Students'Grades in Course Relevance Based on Association Rule Mining Algorithm Apriori

By analyzing the correlation between courses in students’grades,we can provide a decision-making basis for the revision of courses and syllabi,rationally optimize courses,and further improve teaching effects.With the help of IBM SPSS Modeler data mining software,this paper uses Apriori algorithm for association rule mining to conduct an in-depth analysis of the grades of nursing students in Shandong College of Traditional Chinese Medicine,and to explore the correlation between professional basic courses and professional core courses.Lastly,according to the detailed analysis of the mining results,valuable curriculum information will be found from the actual teaching data.

Feasibility and Path Analysis of Integrating Innovation and Entrepreneurship Education into“One-Stop”Student Communities

The“one-stop”student community provides new support for innovation and entrepreneurship education in universities.Integrating innovation and entrepreneurship education into the“one-stop”student community work enriches course materials,integrates teacher resources,improves students’participation in innovation and entrepreneurship,and solves problems such as low student participation,lack of course resources,insufficient teacher resources,and single evaluation methods in traditional classrooms.Through various means such as exploring course resources,innovating management models,and strengthening team construction,the role of“one-stop”student communities in innovation and entrepreneurship education has been fully utilized,promoting the development of innovation and entrepreneurship education.

Analysis of New Senior English for China Student’s Book 1

This article will firstly discuss the context overview of English teaching and learning in China. Under thiscircumstance, a problematic element will be examined of the New Senior English for China Student’s Book 1 and critical appraisal ofhow this element relates to other elements of curriculum development will be analyzed. The recommended changes and demonstrationmechanisms for evaluating the changes are put forward in the last two parts.

Hierarchical Media Ethics in the Digital Age: An Analysis of the “Primary School Student Lost Homework in Paris” Incident

In the digital age,traditional media ethics norms lack sufficient explanatory power and binding force in practice.This paper uses the“Primary School Student Lost Homework in Paris”incident as a case study to explore the ethical controversies surrounding the dissemination of this event.By adopting a hierarchical media ethics perspective,the paper dynamically examines the ethical conduct of various communicators,elucidates the ethical responsibilities of each party involved,and reveals the complexity of communication ethics in the digital age.

Strategies for Fostering Interaction in Online Classrooms:A Conversation Analysis of Teacher-Student Verbal Interaction in Random Questioning in Pandemic-Initiated Online Teaching

This paper aims to explore how a veteran teacher organizes online teaching initiated by the pandemic and how she deals with the problems in online teacher-student verbal interaction.By analyzing a corpus of 20 audio-recorded online lessons between a math teacher and her students during the COVID-19 pandemic from April 11 to May 10,2022,four interactional segments are selected as the focus of the study.The results of the conversation analysis of the segments showed that students’modesty,lack of confidence,lack of ability,and network delay are the main factors affecting online teacher-student interaction.By encouraging students to answer questions,enlightening students to give answers,enriching students’answers,and entertaining the teaching atmosphere(“4Es”strategies),the teacher solved the problems successfully.The findings from this study can provide pedagogical experience and implications for practical teaching.

Topic Modelling and Sentimental Analysis of Students’Reviews

Globally,educational institutions have reported a dramatic shift to online learning in an effort to contain the COVID-19 pandemic.The fundamental concern has been the continuance of education.As a result,several novel solutions have been developed to address technical and pedagogical issues.However,these were not the only difficulties that students faced.The implemented solutions involved the operation of the educational process with less regard for students’changing circumstances,which obliged them to study from home.Students should be asked to provide a full list of their concerns.As a result,student reflections,including those from Saudi Arabia,have been analysed to identify obstacles encountered during the COVID-19 pandemic.However,most of the analyses relied on closed-ended questions,which limited student involvement.To delve into students’responses,this study used open-ended questions,a qualitative method(content analysis),a quantitative method(topic modelling),and a sentimental analysis.This study also looked at students’emotional states during and after the COVID-19 pandemic.In terms of determining trends in students’input,the results showed that quantitative and qualitative methods produced similar outcomes.Students had unfavourable sentiments about studying during COVID-19 and positive sentiments about the face-to-face study.Furthermore,topic modelling has revealed that the majority of difficulties are more related to the environment(home)and social life.Students were less accepting of online learning.As a result,it is possible to conclude that face-to-face study still attracts students and provides benefits that online study cannot,such as social interaction and effective eye-to-eye communication.

A Bifactor Analysis Approach to Construct Validity and Reliability of the Affective Exercise Experience Questionnaire among Chinese College Students

Affective exercise experience as an emerging theoretical concept has great potential to provide a more nuanced understanding of individual factors that influence exercise behavior.However,concerning the Affective Exercise Experiences(AFFEXX)questionnaire,it has not been examined yet whether the structural score of the AFFEXX is a useful index to predict physical activity(refers to any bodily movement produced by skeletal muscles that requires energy expenditure).Furthermore,there is currently a gap in knowledge regarding the psychological mechanisms that can explain the relationship between affective exercise experiences and the level of physical activity(PA).In order to adress these gaps in the literature,we conducted two studies among Chinese collge students that aimed(i)to investigated whether the total score of the three AFFEXX-C constructs(antecedent appraisals,core affective exercise experiences,and attraction-antipathy towards exercise)is a relaible indicator that can be utilized in research and pratical settings and(ii)to evalute the specific psychological mechanisms that can explain the relationship between affective exercise experience and PA.In Study 1,we recruited 801 voluntary Chinese college students for bifactor and correlational analyses.In Study 2,875 Chinese college students were enrolled to verify our findings from Study 1 and to explore the aforementioned mechanism.Results from the bifactor analyses supported our hypothesis that the total scores of the three AFFEXX-C constructs can be used among Chinese college students to establish a link with PA.Additionally,our results suggested that core affective exercise experiences and attraction-antipathy mediated the relationship between antecedent appraisals and the level of moderate-to-vigorous intensity PA.Therefore,measuring affective exercise experiences using the AFFEXX-C,specifically the total scores of each individual construct may be a useful approach to predict future PA levels.

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%.

Rate of Patient Delay among Students with Pulmonary Tuberculosis in China: A Meta-Analysis

Objective: To systematically review the rate of patient delay of pulmonary tuberculosis (PTB) patients among students in China. Methods: Databases including Web of Science Core Collection, PubMed, The Cochrane Library, CBM, CNKI, VIP, and WANFANG DATA were electronically searched to collect cross-sectional studies on the incidence of delayed consultation in students with PTB in China from January 1, 2000, to November 15, 2022. Two researchers independently screened studies, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by Stata 16.0 software. Results: In total, 60 cross-sectional studies with 260,707 cases involving 136,701 delayed consultation PTB patients were included. The results of meta-analysis showed that the rate of patient delay was 46.4% (95% CI 44.3% to 48.4%) among students with PTB in China. Results of subgroup analyses showed that: 1) The rates were 46.8% and 50.4% for male and female students, respectively. 2) The rates for the East, Central and West parts of China were 42.3%, 45.6% and 50.5%, respectively. 3) The rates were increased first and then decreased during 2007 to 2020. 4) The rates of students from primary school, junior high school, senior high school and university were 50.3%, 49.8%, 40.7% and 44.9%, respectively. 5) The rates for the Han and the other nationalities were 50.3% and 53.9%, respectively. 6) The rates for local and non-local students were 47.2% and 50.5%, respectively. 7) The rates of patients detected by consultation due to symptoms, recommendation due to symptoms, referral, tracking and healthy physical examination were 50.5%, 51.6%, 46.6%, 55.6% and 16.2%, respectively. 8) The rates of patients with initial PTB and retreatment PTB were 53.1% and 59.6%, respectively. 9) The rates of patients with positive etiology, negative etiology and without etiological results were 55.9%, 47.0% and 51.6%, respectively. 10) The rates of severe and non-severe patients were 59.4% and 52.9%, respectively. Conclusion: The patient delay rate for Chinese students with PTB is generally at a high level. There are substantial differences in the patient delay rate for students with PTB among different genders, regions, study stages, nationalities, household registration types, detection methods, and treatment classifications.

The Relationship between Exercise and Psychotic Symptoms in College Students: A Cross-Sectional Analysis

An increasing number of studies have suggested that increased physical activity is associated with less mental illness.However,the relationship between exercise and psychotic experiences(PEs)is still unknown.The purpose of this study was to explore the relationship between exercise and PEs in college students in the United States.Data from the Health Mind Survey(2020–2021 round)were analyzed.Respondents included 137,916 college students who were asked about exercise and PEs(lifetime psychotic experiences,delusions,and hallucinations).A multivariate logistic regression analysis was used to investigate the relationship between exercise and PEs while controlling for demographic characteristics.There was a significant correlation between exercise and PEs among college students.Compared to students who exercised less than one hour per week,students who exercisedfive or more hours per week had fewer lifetime psychotic experiences.This samefinding obtained for both male and female college students.Thefindings from the present study indicate that exercising forfive or more hours each week is most correlated with decreased PEs among college students.However,experimental studies are required to extend and confirm ourfindings and determine the causality of this relationship.

The Relationship between Students’ Anxiety and Internet Use Disorders: A Meta-Analysis

Theoretical models have predicted a positive association between anxiety and Internet use disorders.However,thefindings of previous studies are conflicting,with some reporting a positive association and others proposing no relationship between the two.To explore the true relationship between the two and analyze the reasons for the differences,100 primary studies involving 108,539 subjects were entered into a meta-analysis.The results showed that(1)there was a significant positive correlation between students’anxiety and Internet use disorder(r=0.330);(2)the moderating effect of anxiety type was significant.(3)The moderating effects of the measurement instrument for Internet use disorder,the measurement instrument for anxiety,the subject’s grade level,the subject’s region,and the type of publication were not significant.The question of how the different anxiety types of students and IUD have different mechanisms of action needs to be further explored.

Research Methodology and Analysis of Innovative Pedagogical Models in Mechanical Engineering Courses for International Students at the School of Mechanical Engineering and Automation, Beihang University

Taking the engineering courses“Introduction to Mechanical Engineering”and“Machining Process”taught by the author at Beihang University’s International School as examples,this article systematically analyzed the current status and background of international student education,focused on research strategies for interdisciplinary education and industry-education integration innovation models from the perspectives of technical demands,student needs,and societal requirements.This article aims to cultivate highly qualified international students who come to China for their studies,help them better adapt to China’s social employment environment,and enhance their capabilities for career development in China.This article proposes a comprehensive set of innovative teaching models for mechanical engineering courses for international students at Beihang University,which encompasses eight key aspects,including talent development programs,curriculum outline reforms,optimization of classroom teaching content,respect for individual student characteristics,the establishment of practical teaching components,the use of open-ended assignments to stimulate enthusiasm for learning,the cultivation of international students’interest in China,their belief in developing friendships with China,and their goals of staying in China,and the incorporation of external experts to facilitate industry-education integration.

Using Factor Analysis to Determine the Factors Impacting Learning Python for Non-Technical Business Analytics Graduate Students

This pioneering research represents a unique and singular study conducted within the United States, with a specific focus on non-technical graduate students pursuing degrees in business analytics. The primary impetus behind this study stems from the escalating demand for data-driven professionals, the diverse academic backgrounds of students, the imperative for adaptable pedagogical methods, the ever-evolving landscape of curriculum designs, and the overarching commitment to fostering educational equity. To investigate these multifaceted dynamics, we employed a data collection method that included the distribution of an online survey on platforms such as LinkedIn. Our survey reached and engaged 74 graduate students actively pursuing degrees in Business Analytics within the United States. This comprehensive research is the first and only one of its kind conducted in this context, and it serves as a vanguard exploration into the challenges and influences that shape the learning journey of Python among non-technical graduate Business Analytics students. The analytical insights derived from this research underscore the pivotal role of hands-on learning strategies, exemplified by practice exercises and assignments. Moreover, the study highlights the positive and constructive influence of collaboration and peer support in the process of learning Python. These invaluable findings significantly augment the existing body of knowledge in the field of business analytics. Furthermore, they offer an essential resource for educators and institutions seeking to optimize the educational experiences of non-technical students as they acquire essential Python skills.

The impact of just-in-time teaching model on nursing students'learning in the background of"Internet+":a meta-analysis

Objective:To systematically evaluate the impact of just-in-time teaching methods on nursing students’learning outcomes.Methods:Through the databases of CNKI,Wanfang,VIP,CBM,PubMed,Cochrane Library,Embase and Web of Science,the randomized controlled trials of just-in-time teaching in nursing field were collected from the establishment of the databases to the publication in November 2022.After literature screening,data extraction and quality evaluation,meta-analysis was performed using RevMan5.3 and Stata16.0 software.Results:Twenty articles were included,with a total of 1,865 nursing students.Meta-analysis results showed that compared with the traditional teaching method,the just-in-time teaching method had statistically significant differences in nursing students’theoretical examination scores(standardized mean difference(SMD)=1.26,95%confidence interval(CI):1.03 to 1.48,P<0.001),operational skills scores(SMD=1.56,95%CI:1.21 to 1.90,P<0.001),self-learning ability(SMD=0.76,95%CI:0.61 to 0.91,P<0.001)and just-in-time teaching method satisfaction(P<0.05).Conclusion:The just-in-time teaching method combines the advantages of traditional teaching and networked teaching,improves nursing students’theoretical performance,skill operation level and teaching satisfaction,and cultivates nursing students’self-learning ability.