Emotional intelligence of medical students of Shiraz University of Medical Sciences cross sectional study

Emotional intelligence among medical students in Sweden - a questionnaire study

BACKGROUND

Emotional intelligence (EI), the ability to understand and regulate one's and other's emotions, has been linked to academic and clinical performance and stress management, making it an essential skill to develop during medical school. Nevertheless, uncertainty remains about the impact of medical education on EI, its association with sociodemographic factors, and the potential moderating role of gender. Therefore, this study aimed to explore levels of global EI among Swedish medical students based on their completed semesters while analyzing the potential moderator role of gender and identifying potential EI differences associated with age, gender, prior education, work experience, and previous experience working in a leadership position.

METHODS

The participants were medical students in semesters 1, 3, 5, 7, 9, and 11 at a Swedish University. Participants answered the self-report Trait Emotional Intelligence Questionnaire - Short Form (TEIQue-SF) and demographic questions. For each participant, the mean global trait EI was calculated (range 1-7), and differences were compared based on semesters and sociodemographic factors. In addition, we investigated the relationship between semester and EI scores with gender as a moderator.

RESULTS

Of the 663 invited medical students, 429 (65%) responded, including 269 women (62.7%), 157 men (36.6%), and 3 identifying as others (0.7%). The participants had a mean global trait EI score of 5.33. Final-year students demonstrated significantly higher global trait EI scores than first-year students, and gender did not have a moderating effect across semesters. Furthermore, students in the age group 25-29 years showed higher EI scores compared to those in the age group 21-24 years, while there were no significant differences in EI scores for older students (≥ 30 years) compared to other age groups. Higher EI scores were also positively associated with previous work-and leadership experiences. Gender and previous education did not significantly impact EI scores.

CONCLUSIONS

Our findings suggest that higher EI scores are associated with semesters of medical education, age, and previous work and leadership experience. Future longitudinal studies are needed to identify factors that could improve EI among medical students to design curricular activities aimed at supporting the EI of the next generation of physicians.

Emotional intelligence in undergraduate medical students: a scoping review

PURPOSE

To perform a scoping review to determine what is known about emotional intelligence (EI) in undergraduate medical education (UME). Two main questions were asked: A. What medical student characteristics are associated with EI? Are there correlations with demographic or other factors? B. What research studies have been done on EI in UME? For example, is there evidence EI changes over time as a result of personal experiences? Should EI be used as an admission criterion? Can EI improve as a result of experiences or deliberate interventions?

METHOD

The authors searched four databases (PubMed, PsycInfo, Education Resources Information Center, and Web of Science) for all papers published up to and including December 2020. Two reviewers independently screened articles to determine if they met inclusion criteria. All authors extracted and analyzed data.

RESULTS

A set of 1520 papers on the topic of emotional intelligence was identified, with 119 papers meeting inclusion criteria. Most studies were done at international locations with only 17 done at US medical schools. Seventy-five were cohort or cross-sectional studies. Study populations were mixed among the studies, with year of medical study, inclusion of other healthcare students, and participation rates among the inter-study differences noted.

CONCLUSIONS

Numerous gaps in the literature on EI exist with several points being clear: (1) there is disagreement on the definition of EI, (2) it is undetermined whether EI is a trait or an ability, and (3) there is marked variability among the instruments used to measure EI. It is also becoming apparent that using EI determination may be helpful as a component of the admission process, higher EI is likely related to improved clinical reasoning, and higher EI contributes to more effective stress management.

Emotional and social intelligence assessment model for student character reinforcement

Purpose

The purpose of this study is to help teachers resolve the difficulties in assessing the students' characters through the development of valid, reliable, goodness-of-fit statistic instrument of emotional and social intelligence assessment for elementary school students.

Design/methodology/approach

This study used a research and development model from Plomp with five phases, such as investigation, design, realization, testing and implementation. The research subjects were 345 students of class IV amongst 20 elementary schools in Yogyakarta. Data collection used questionnaires, documentation, interviews, Forum Group Discussion and an observation. Data analysis used descriptive analysis, Aiken's V, exploratory factor analysis and confirmatory factor analysis formulae.

Findings

The research study helps solve the difficulties of teachers in assessing emotional and social intelligence, which have previously been in only one area of psychomotor. The design of emotional and social intelligence assessment instruments is made from three domains of character, namely, cognitive, affective and psychomotor. The form of the instrument is non-test in three variations. The construct of social and emotional intelligence assessment for a character reinforcement has met the validity, reliability and goodness-of-fit statistic.

Research limitations/implications

This study explains that the Emotional and Social Intelligence (ESI) model is applied for measuring cognitive, affective and psychomotor in children. This study proves that the ESI model is a comprehensive assessment model for evaluating the children's soft skills, includes (1) personal abilities: the ability to make rational decisions, the ability to design the future and (2) social skills: the ability to work together and the ability to understand other people.

Practical implications

Teachers can measure and determine the condition of children's soft skills by operating the ESI model. Based on the knowledge of the correct soft skill conditions, the teacher can adjust the teaching materials and teaching methods that would improve the child's soft skills regarding to their respective conditions. Mastering these soft skills will affect the children's capability in facing the challenge in the upcoming society's life.

Originality/value

The novelty of this study is the design model of the emotional and social intelligence assessment instrument developed comprehensively and practically as it is created from three domains of character and three forms of non-test questions, so that the assessment is not mechanical, and easily practiced by users.

Trait emotional intelligence and self-assessment of classroom learning in medical students

INTRODUCTION

Trait emotional intelligence (EI) is the self-perception of emotional abilities. It is an important predictor of academic performance. Students' self-assessment (SSA) of knowledge gained from classroom teaching may help in the identification of deficiencies in knowledge and provide scope for further improvement. We aimed to evaluate the correlation between EI and SSA capability.

METHODS

We conducted a cross-sectional, observational study with 56 first-year medical students recruited as a convenience sample. We used the "Trait Emotional Intelligence Questionnaire Short Form" to assess Trait EI. For assessment of SSA, we asked the participants to write answers to a set of questions related to the topic of the preceding 1-h lecture and to assess their marks themselves. Three subject experts checked the answer sheets and we took the mean as the expert assessment (EA) marks. The correctness score of prediction was calculated by comparing SSA and EA marks. Pearson correlation coefficient (r) was calculated between EI scores and SSA correctness score.

RESULTS

In all sessions, the students underpredicted their marks. SSA correctness score showed a positive correlation with well-being (r=0.33; P=0.01); self-control (r=0.57; P<0.01); emotionality (r=0.51; P<0.01); sociability (r=0.51; P<0.01); and total score (r=0.64; P<0.01) of trait EI.

CONCLUSION

Underprediction of marks in formative assessment is common in 1st-year medical students. Students with higher levels of EI may predict their knowledge gained from classroom better than the students with lower EI. This may be a potential reason for the better academic performance of students with higher EI.