Relationship of Emotional Intelligence, Intelligence Quotient, and Autonomic Reactivity Tests in Undergraduate Medical Students

Sharma, Vagisha; Kaur, Manpreet; Gupta, Supriya; Kapoor, Richa

doi:10.1007/s40670-019-00763-9

Cited by 5 publications

(3 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Emotional intelligence has been found to have a strong relationship with the parasympathetic nervous system, which is a marker of higher cognitive ability and physiological competence in medical students and residents. Thus, it is important to consider measuring emotional intelligence in addition to general intelligence when selecting students for the medical field and future residency training [5,6].…”

Section: A) Selection Process Of Medical Students and Residentsmentioning

confidence: 99%

Emotional Intelligence in the Era of Artificial Intelligence for Medical Professionals

Vagisha Sharma,

Harendra Kumar

2023

Journal For International Medical Graduates

View full text Add to dashboard Cite

In today's rapidly increasing healthcare industry, thecombination of emotional intelligence (EI) with artificialintelligence (AI) has significant consequences formedical practitioners. Emotional intelligence, includingthe capacity to perceive, understand, and manageemotions, is emerging as a critical advantage formedical practitioners, particularly as AI technologiesaugment clinical operations. This abstract analyzes thedifferent dynamics of EI in the context of AI integration,demonstrating its significance across multiple fields. Asmore medical professionals collaborate with AI-poweredsystems, a delicate interaction between humanemotional intelligence and AI's analytical brillianceemerges, necessitating an acceptable balance.Furthermore, the impact of EI on crucial aspects ofmedical education, practitioner-patient interactions,and overall job satisfaction is investigated. This abstractemphasizes the imperatives of strengthening EI talentsdespite technological development, advocating for aharmonious integration that supports both the cognitiveand emotional parts of healthcare practice byrecognizing the synergies and potential conflictsbetween EI and AI.

show abstract

Section: A) Selection Process Of Medical Students and Residentsmentioning

confidence: 99%

Emotional Intelligence in the Era of Artificial Intelligence for Medical Professionals

Vagisha Sharma,

Harendra Kumar

2023

Journal For International Medical Graduates

View full text Add to dashboard Cite

show abstract

“…Based on the explanation above, the value of student learning outcomes is strongly influenced by emotional intelligence and individual self-confidence. Individuals who are unable to control their emotions, empathize, cooperate and are embarrassed to deal with other people, and lack confidence in their abilities greatly affect the learning process, because intelligence is a factor that influences learning outcomes (Kamal & Ghani, 2014;Sharma et al, 2019;Zampetakis et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

The Effect of Discipline and Learning Motivation on Student Learning Outcomes in Elementary Schools

Siregar

Nurhasnawati²,

Fatonah³

2022

j. ilm. sekol. Dasar

View full text Add to dashboard Cite

Discipline and learning motivation of students are factors that can affect student learning outcomes at school. Based on the results of observations, it shows that the discipline and learning motivation of fifth-grade students is not optimal and still need to be improved. This study aims to analyze the effect of discipline and learning motivation on the learning outcomes of high school students in elementary schools. The method used is a quantitative method with a correlational design. The population in this study were high school students in elementary school with a sample of 30 students. The data collection technique was carried out using a questionnaire based on the results of the discipline instrument and learning motivation with a Likert scale score of 1 to 4, while the data in the form of learning outcomes were obtained from their respective teachers in the form of PTS scores for the second semester. In this study, the data analysis technique used was the normality test and hypothesis testing with Microsoft Excel 2019. The results showed that there was an influence of learning discipline on the learning outcomes of high-class students. Then there is the influence of learning motivation on the learning outcomes of high-grade students in elementary school. There is an influence of discipline and learning motivation in the learning outcomes of high-grade students in elementary schools.

show abstract

“…Intelligence can be defined as a set of cognitive skills with which a person is able to understand, confront and resolve situations of greater or lesser complexity. These skills include attentiveness, reasoning ability, memory, planning and problem solving (Sharma et al 2019). Although it is not the only way to assess cognitive ability, intelligence is generally measured in terms of intellectual quotient (IQ), via instruments that quantify levels of performance in cognitive tests.…”

Section: Introductionmentioning

confidence: 99%

Association between physical fitness, body mass index and intelligence quotient in individuals with intellectual disabilities

Ruiz

Sánchez

Rodríguez-Servián

et al. 2021

J intellect Disabil Res

View full text Add to dashboard Cite

Background Physical exercise seems to improve cognitive abilities at different physiological levels. Numerous studies have examined the relationship between physical fitness (PF), physical activity and cognition among populations without intellectual disabilities (ID), but very few have addressed this question with respect to people with ID. This study aimed to determine the correlation between intelligence quotient (IQ) and factors related to PF in healthy adults with ID. Methods A multicentre cross-sectional study was conducted in 91 individuals with ID. All participants were assessed with the K-BIT tests and the following test items from the SAMU DIS-FIT Battery: body mass index, handgrip strength (HGS), leg strength, dynamic balance and physical endurance. Results Significant differences between men and women were tested by multiple regression. IQ was found to be statistically related to HGS and leg strength, with a medium effect size. Statistical relationships were also found between sex and physical endurance, with a medium effect size, and HGS, with a large effect size. ConclusionsThe study results highlight relationships between the variables of muscular strength and the participants' IQ. Further studies with experimental designs are needed to enhance the understanding of the relationships between PF and cognition in persons with ID.

show abstract

Relationship of Emotional Intelligence, Intelligence Quotient, and Autonomic Reactivity Tests in Undergraduate Medical Students

Cited by 5 publications

References 58 publications

Emotional Intelligence in the Era of Artificial Intelligence for Medical Professionals

Emotional Intelligence in the Era of Artificial Intelligence for Medical Professionals

The Effect of Discipline and Learning Motivation on Student Learning Outcomes in Elementary Schools

Association between physical fitness, body mass index and intelligence quotient in individuals with intellectual disabilities

Contact Info

Product

Resources

About