The Emotional Intelligence and the Associated Factors among Nursing Students

Introduction: Emotional intelligence, or the capacity to cope one’s emotions, makes it simpler to form good connections with others and do caring duties. Nursing students can enroll a health team in a helpful and beneficial way with the use of emotional intelligence. Nurses who can identify, control, and interpret both their own emotions and those of their patients provide better patient care. The purpose of this study was to assess the emotional intelligence and to investigate the relationship and differences between emotional intelligence and demographic characteristics of nursing students. Methods: A cross-sectional study was carried out on 381 nursing students. Data collection was completed by “Schutte Self Report Emotional Intelligence Test”. Data were analyzed with the Statistical Package for Social Science. An independent t test, ANOVA, and Pearson correlation, multiple linear regression were used. Results: The results revealed that the emotional intelligence mean was 143.1 ± 21.6 (ranging from 33 to 165), which is high. Also, the analysis revealed that most of the participants 348 (91.3%) had higher emotional intelligence level. This finding suggests that nursing students are emotionally intelligent and may be able to notice, analyze, control, manage, and harness emotion in an adaptive manner. Also, academic year of nursing students was a predictor of emotional intelligence. Furthermore, there was positive relationship between the age and emotional intelligence (p < 0.05). The students’ ability to use their EI increased as they rose through the nursing grades. Conclusion: This study confirmed that the emotional intelligence score of the nursing students was high. Also, academic year of nursing students was a predictor of emotional intelligence. In addition, a positive relationship was confirmed between the emotional intelligence and age of nursing students. .

Correlation between critical thinking and emotional intelligence:a national crosssectional study on operating room nursing students in Iran

Objective:According to the World Federation of Medical Education,critical thinking should be part of the training of medical and paramedical students.Professionals can improve the quality of care of patients after surgery by having or acquiring this skill in health care.Also,Emotional intelligence is introduced as an impor tant and effective factor on the professional performance and mental health of healthcare professionals.Thus,the present study was designed and implemented to determine the relationship between emotional intelligence and critical thinking among operating room nursing students of medical sciences universities in Iran.Methods:This cross-sectional study was done on 420 operating room students in 10 top medical sciences universities of Iran in 2022.The sampling method in this research was multistage sampling.The data collection instruments included demographic characteristics,Rickett's critical thinking,and Bradberry-Greaves'emotional intelligence questionnaires.After receiving the ethics code,data collection was done for 2 months.For data analysis,descriptive and inferential analyses including independent t-tests,analysis of variance,and Pearson correlation were used.The collected data were analyzed by SPSS 18(IBM Corporation,Armonk,New York,United States).P-value<0.05 was considered significant.Results:The mean age of the students participating in this study was 23.02±3.70 years,with women constituting 67.4%of them.The results of data analysis indicated that the mean total score of critical thinking and emotional intelligence was 124.10±37.52 and 114.12±43.63,respectively.A direct significant correlation between critical thinking and emotional intelligence(r=0.459,P-value<0.001)and a significant relationship between gender and emotional intelligence(P-value=0.028)were found.Conclusions:Based on the present study results,educational managers in the Ministry of Health are suggested to consider suitable educational programs for improving critical thinking and emotional intelligence to enhance the quality of care provided by students in operating rooms.

Efficient Intelligent E-Learning Behavior-Based Analytics of Student’s Performance Using Deep Forest Model

E-learning behavior data indicates several students’activities on the e-learning platform such as the number of accesses to a set of resources and number of participants in lectures.This article proposes a new analytics systemto support academic evaluation for students via e-learning activities to overcome the challenges faced by traditional learning environments.The proposed e-learning analytics system includes a new deep forest model.It consists of multistage cascade random forests with minimal hyperparameters compared to traditional deep neural networks.The developed forest model can analyze each student’s activities during the use of an e-learning platform to give accurate expectations of the student’s performance before ending the semester and/or the final exam.Experiments have been conducted on the Open University Learning Analytics Dataset(OULAD)of 32,593 students.Our proposed deep model showed a competitive accuracy score of 98.0%compared to artificial intelligence-based models,such as ConvolutionalNeuralNetwork(CNN)and Long Short-TermMemory(LSTM)in previous studies.That allows academic advisors to support expected failed students significantly and improve their academic level at the right time.Consequently,the proposed analytics system can enhance the quality of educational services for students in an innovative e-learning framework.

Examine the Relationship of Emotional Intelligence and Creativity with Academic Achievement of Second Period High School Students

The present study aimed to examine the relationship of emotional intelligence and creativity with academic achievement of second period high school students in Nikshahr. This was a descriptive-correlational study. The population of the current study included all second period high school students in the academic year of 2013-2014. The statistical sample was selected using simple random sampling method. To collect data, Mayer Salovey Caruso Emotional Intelligence Test (1995) as well as Creativity Questionnaire (Sultani) and to compare students’ academic achievements, their GPAs in the academic year of 2013-2014 were used. Obtained data were analyzed using both descriptive (frequency table, frequency, and charts) and inferential statistics (independent t-test and Pearson correlation coefficient). The results indicated that emotional intelligence and academic achievement were significantly correlated. Moreover, there was a significant and positive relationship between creativity and academic achievement. Additionally, no significant difference was found between males and females considering their academic achievement.

How to Promote Students' English Achievements By Using Non-intelligence Factors

Psychological researches showed that learning activities are under the constant impact of both between learners’internal factors and external factors,and learners’internal factors,in specific,include intelligence factors and non-intelligence factors.This article explores the relations between 11 non-intelligence factors with students’English achievements by adopting the method of questionnaire.The research shows that non-intelligence factors and students’English achievements have a close relation.Therefore,teachers should cultivate students’non-intelligence factors to promote students’English achievements.

The relationship between academic adjustment and emotional intelligence among undergraduate students in Oman

Objective:A positive and successful transition into university is crucial.Transition to the college environment is a critical situation that can impact students holistically.The study aimed to examine the relationship between emotional intelligence and academic adjustment among undergraduate student s in Oman.Methods:The study utilized a descriptive correlational and cross-sectional study design.The total sample was 339 based on defined inclusion criteria.The study used Emotional Intelligence Questionnaire and Academic Adjustment Scale to investig a te the extents of the research phenomena among undergraduate students.Results:The average age of the participants was 21.5 years.The level of AD and EI was on medium.However,the findings revealed a strong positive relationship(r=0.703)between emo t ional intelligence and academic adjustment among undergraduate students.Conclusion:Emotional intelligence may increase over time through the academic life.It can help students develop adequate social skills and bondings to satisfy academic demands and p romote their social,moral,and cognitive abilities and adjustment.

Risk factors and digital interventions for anxiety disorders in college students:Stakeholder perspectives

The worldwide prevalence of anxiety disorders among college students is high,which negatively affects countries,schools,families,and individual students to varying degrees.This paper reviews the relevant literature regarding risk factors and digital interventions for anxiety disorders among college students from the perspectives of different stakeholders.Risk factors at the national and societal levels include class differences and the coronavirus disease 2019 pandemic.College-level risk factors include the indoor environment design of the college environment,peer relationships,student satisfaction with college culture,and school functional levels.Family-level risk factors include parenting style,family relationship,and parental level of education.Individual-level risk factors include biological factors,lifestyle,and personality.Among the intervention options for college students'anxiety disorders,in addition to traditional cognitive behavioral therapy,mindfulness-based interventions,psychological counseling,and group counseling,digital mental health interventions are increasingly popular due to their low cost,positive effect,and convenient diagnostics and treatment.To better apply digital intervention to the prevention and treatment of college students'anxiety,this paper suggests that the different stakeholders form a synergy among themselves.The nation and society should provide necessary policy guarantees,financial support,and moral and ethical supervision for the prevention and treatment of college students'anxiety disorders.Colleges should actively participate in the screening and intervention of college students'anxiety disorders.Families should increase their awareness of college students'anxiety disorders and take the initiative to study and understand various digital intervention methods.College students with anxiety disorders should actively seek psychological assistance and actively accept and participate in digital intervention projects and services.We believe that in the future,the application of methods such as big data and artificial intelligence to improve digital interventions and provide individualized treatment plans will become the primary means of preventing and treating anxiety disorders among college students.

Digital interventions empowering mental health reconstruction among students after the COVID-19 pandemic

With the gradual end of the coronavirus disease 2019(COVID-19)pandemic,the reconstruction of students’mental health is urgently necessary.Digital interventions offer advantages such as high accessibility,anonymity,and accurate identification,which can promote the reconstruction of students’mental health through the provision of psychological support platforms,psychological assessment tools,and online mental health activities.However,we recognize that digital interventions must undergo many adjustments,and corresponding ethical norms require further clarification.It is crucial for different stakeholders to collaborate and work toward maximizing the effectiveness of digital interventions for the reconstruction of mental health after the COVID-19 pandemic.

Exploration and Research on Employment Guidance System in Universities from the Perspective of Artificial Intelligence

In the context of the era of continuous development of artificial intelligence, the labor value of university students is impacted by technological substitution. Simultaneously, university students are also required to constantly update their skills. All of the above will be the challenge of university students’ employment prospects. However, artificial intelligence will also bring new opportunities, which will stimulate the innovation ability of university students and bring new directions for employment. In order to better cope with the possible impact of artificial intelligence, universities should incorporate employment guidance services into the “three-wide education” system. To achieve this, universities need to take the following measures: developing the dynamic monitoring system of university employment based on big data, constructing the employment guidance curriculum system of university students throughout the whole process, updating the mode of diversified employment guidance service as well as establishing a team of employment guidance teachers keeping pace with the times. These measures aim to better adapt to the job market demands in the context of artificial intelligence, guide students to actively respond to the possible impact of artificial intelligence technology, cultivate their core competencies and qualities that are less likely to be replaced by artificial intelligence, and promote the high-quality employment of university students.

Impact of COVID-19 on College Students’Non-intellectual Factors and Corresponding Countermeasures

The outbreak of COVID-19 in December 2019 has exerted a wide and everlasting impact on the world,which has also influenced education enormously.The adjustment of objective learning environment during the COVID-19 pandemic makes the influence of non-intellectual factors on college students worthy of investigation,research and analysis.Based on this,we have launched a questionnaire survey on 500 college students who have witnessed the pandemic,and referred to related literature,network documents,news reports,contrast and analysis of college students’non-intelligence factors before and after the outbreak of the different levels of change,summing up some new measures to promote the development of college students’non-intelligence factors under the COVID-19 outbreak for online learning and autonomous learning.

Emotional Intelligence And Mental Well-Being Of Chinese College Students:A Personal Development Plan Abstract

This study employed a quantitative descriptive correlational design,the study surveyed a total of 202 participants.Emotional intelligence levels were measured using a standardized questionnaire,while mental health status was assessed using the 20-item EPOCH scale.The findings revealed that respondents generally exhibited high levels of emotional intelligence and mental well-being.Gender and age were not found to significantly influence emotional intelligence or mental well-being.Furthermore,a positive correlation was observed between emotional intelligence and mental well-being among the participants.

Analysis of adversity quotient of nursing students in Macao:A crosssection and correlation study

Objectives: To investigate the adversity quotient (AQ) of Macao undergraduate nursing students and analyse its influencing factors.Methods:A cross-section design was used,and a convenience sample of nursing students(n=158 valid)was selected from a tertiary institute in Macao.In addition to demographic questions,the Chinese versions of the Adversity Quotient Scale,the Emotional Intelligence(EI)Scale,the Simplified Coping Style Questionnaire and the Parenting Styles Scale were used to assess the students'characteristics.Results:The average AQ score of the students was 116.72±11.39.AQ scores were negatively correlated with coping-negative,and maternal style(excessive interference,excessive protection)(r=-0.332,P<0.001;r=-0.167,P=0.036).Coping-negative entered the regression equation(F=19.154,P<0.001).The female nursing students had higher scores in ownership dimension of AQ than their male counterparts(31.98±3.26 vs.29.21±3.08,t=-4.442,P<0.001).Conclusions:The average AQ scores of Macao undergraduate nursing students were moderate.The female nursing students are more likely to attribute the cause of adversity to themselves,and specific psychosocial and cultural issues may be at play.There is a necessity for Macao nursing students to improve their ability to overcome setbacks.Special attention should be paid to the cultivation of students'positive coping styles.

Research on the Construction Path of Ideological and Political Education for Postgraduates in the Era of Artificial Intelligence

Postgraduate ideological and political education is an important part of ideological and political education in colleges and universities.It is the core of implementing the party’s educational policy,comprehensively improving the quality of education,and building a modern socialist education power.In the era of artificial intelligence,innovate classroom education of ideological and political education for graduate students through intelligent network systems,natural language understanding systems,and knowledge processing systems;use intelligent search systems,symbol processing systems,and combined planning systems to deepen the communication links of graduate ideological and political education;through enhancing digital intelligence tools such as genetic algorithm,deep learning algorithm and artificial neural network algorithm to reconstruct the evaluation criteria of graduate ideological and political education is an important engine to promote the intelligent,contemporary and diversified development of graduate ideological and political education in my country.

Trying the Theory of Multiple Intelligences in English Teaching

Multiple intelligences theory provides English teaching with a new theoretical perspective.This theory has important significance in correcting student view,changing the teaching style,setting up a new assessment view in English teaching reform.It is necessary to apply eight kinds of intelligences proposed in this theory as teaching strategies in teaching practice.

基于大模型的知识生产与启蒙辩证法

人们在使用大模型的过程中,会存在某种程度的幻觉,即认为大模型无所不知和无所不能。正因为这种幻觉的存在,大模型可能会从启蒙的理性变成新的启蒙神话。启蒙的意义在于保持一种开放性,而启蒙的神话就表明了这种开放性的消失。大模型的发展无疑会加剧世界的数学化。在此背景之下,权证就构成了未来数字世界的基本通货。过度的数学化也酝酿了新的工具理性危险。作为新的技术,大模型全面展示了知识与权力的关系。大模型拥有巨大的整合力,正在实现新型的知识大一统。这种弥散化的超能力会进入知识生产的各个领域,没有个体可以逃脱这种超能力的捕捉。大模型会进一步加剧知识工业化,这将导致更为严重的意识形态问题。一方面,大模型本身有其意识形态。另一方面,大模型更加深刻的意识形态会隐含在其免费模式和消费模式之中,同时想象的知识共同体最终又会服务于知识霸权。面对知识工业化的风险,应该建立知识生产的“手工绿洲”,用荒谬、隐喻和修辞来对抗理性,让人类保有通过具身体验来创造知识的能力,并且要避免同一性和绝对正确的神话。

大学生生成式人工智能应用现状与思考——基于浙江大学的调查

本研究随机调查了1190位浙江大学本科生,通过描述统计、差异检验及事后多重比较等方法,分析大学生生成式人工智能的使用现状及影响因素。研究表明,约七成受访者表示熟悉生成式人工智能;三分之二的大学生使用生成式人工智能的时间在2022年12月-2023年6月间,四分之一的大学生开始使用生成式人工智能的时间是2023年7-11月;五分之一大学生表示会经常使用,七成大学生表示会偶尔使用;大学生使用最多的生成式人工智能工具是ChatGPT;使用最多的技术是文本生成技术;最常用的生成式人工智能功能包括文本生成和信息搜索;约六成大学生学过生成式人工智能的知识或技能;大学生使用生成式人工智能的四大典型场景(课程学习、科研活动、日常生活以及升学求职)中,科研活动是最常用生成式人工智能场景;性别、年级、专业大类等变量会不同程度影响大学生使用生成式人工智能;希望学校开设生成式人工智能相关课程/讲座是大学生提出最多的建议。基于调研结果,本研究从高教管理部门、公司机构、高校和教师等角度,提出未来高校使用生成式人工智能的建议,以期为生成式人工智能融入高等教育教学实践提供参考。

推动人工智能向善发展:教育与人工智能共同的责任

人工智能的迅速发展正深刻改变人类的生产方式、生活方式和学习方式,对教育产生深度影响,而现阶段生成式人工智能工具在教育领域广泛应用,给教育带来新的道德伦理问题。该文首先从人工智能快速发展引发更加复杂的道德伦理问题和人工智能道德伦理是人类道德伦理价值体系新组成两方面给出人工智能延展人类道德伦理范围。再从人工智能教育应用伦理风险、教育人工智能伦理治理现状、教育人工智能伦理需解决问题等三个层面阐述了教育人工智能应用伦理风险与治理。再次从核心素养培养、规范应用监管、道德伦理框架、技术规范研制等四个维度给出人工智能向善发展的建设路线。最后,给出五条发展建议:加强顶层设计,系统规划总体框架;重视育人为本,创新发展人工智能课程;遵循治理原则,促进技术向善赋能;明确价值准则,助力人机相融共进;加快标准制定,规范教育人工智能实践。以期推动人工智能向善发展,赋能、赋智教育,促进教育数字化转型,构筑智能时代的人类命运共同体。

校内“智慧种养综合体”实践教学基地建设探索--以铜仁职业技术学院农牧专业为例

产教融合背景下,农牧类专业校外实践教学基地建设得到了较大发展,但在人才培养的过程中还存在生产季节及过程与教学需求衔接不畅、教师主动性发挥不够、学生研究性创新性学习及个性化发展受限等问题。建设以学校为主导、多元投入、校企互动的校内“智慧种养综合体”,可以解决教学设计与生产实际协同、双师培育、个性化学习、专业社会服务能力提升等方面存在的一些问题,在引领“三教”改革、服务学生发展等方面能发挥更大作用。

智能时代大学生劳动教育价值重塑与实践路径

“劳动”是人类文明发展的最重要与最基本的方式,是提升国民经济的强大动能。纵观当前,以智能技术为主体的新型劳动形式,不仅给传统劳动带来挑战,也冲击了人们传统的劳动理念。大学生劳动教育应顺应时代发展潮流,充分借助和发挥智能设备、智能技术、智能手段,使劳动教育拥有全新的育人形态,促进学生德智体美劳全面发展。结合智能时代对人类劳动的影响,明确劳动教育价值重塑的内容,分析劳动教育的问题,提出科学合理的劳动教育实践路径。