Emotional Intelligence: Implications for Personal, Social, Academic, and Workplace Success Marc A
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On the Interaction of Social Affect and Cognition: Empathy, Compassion and Theory of Mind
Available online at www.sciencedirect.com ScienceDirect On the interaction of social affect and cognition: empathy, compassion and theory of mind 1 1,2 1 Katrin Preckel , Philipp Kanske and Tania Singer Empathy, compassion and Theory of Mind (ToM) are central which may be detrimental to the observer and to others topics in social psychology and neuroscience. While empathy and compassion, on the other hand, which is a feeling of enables the sharing of others’ emotions and may result in warmth and concern for the other. We conclude with a empathic distress, a maladaptive form of empathic resonance, concise summary and an opinion statement. or compassion, a feeling of warmth and concern for others, ToM provides cognitive understanding of someone else’s Defining and neurally characterizing empathy, thoughts or intentions. These socio-affective and socio- compassion and Theory of Mind cognitive routes to understanding others are subserved by Empathy describes the process of sharing feelings, that is, separable, independent brain networks. Nonetheless they are resonating with someone else’s feelings, regardless of jointly required in many complex social situations. A process valence (positive/negative), but with the explicit knowl- that is critical for both, empathy and ToM, is self-other edge that the other person is the origin of this emotion [1]. distinction, which is implemented in different temporoparietal This socio-affective process results from neural network brain regions. Thus, adaptive social behavior is a result of activations that resemble those activations observed dynamic interplay of socio-affective and socio-cognitive when the same emotion is experienced first-hand (shared processes. -
Emotional Intelligence and Acquisition of English Language Oral Communication Skills9
Advanced Education Issue 15, 2020 ISSN: 2409-3351 EMOTIONAL INTELLIGENCE AND ACQUISITION OF ENGLISH LANGUAGE ORAL COMMUNICATION SKILLS9 Тetiana Andrienko Kyiv International University, Kyiv, Ukraine [email protected] Nataliia Chumak Taras Shevchenko National University of Kyiv, Kyiv, Ukraine [email protected] Vlad Genin UOPX, Silicon Valley-Bay Area Campus, San Francisco, California, USA [email protected] Studying the factors of successful acquisition of ESL speaking skills in Ukrainian adult learners, the authors focused on the correlation between emotional intelligence and development of oral communication skills, and, on the other hand, on the growth of these indicators as a result of purposeful inclusion of content-related emotions into activities aimed at the development of speaking and listening skills. Theoretically based on the ideas of emotional intelligence as an important factor in human interaction and guided by the hypothesis that content-related emotions intensify emotional involvement and have a positive influence on the acquisition of oral communication skills, the researchers applied Mayer-Salovey-Caruso Emotional Intelligence Test and the English Language Oral Communication Skills Test developed by the authors, to measure the key oral communication skills indicators against a 100 point scale. Experimental teaching of 124 undergraduate students of International Relations during September 2018 – May 2019 proved a beneficial influence of including emotions in the learning activities on the acquisition of ESL oral communication skills, as well as on student motivation and overall quality of student experiences. Significant increments in Emotional Intelligence and ESL oral communication skills in the experimental group compared to insignificant growth of the same indicators in the Reference group allow to establish a positive correlation between the growth of emotional intelligence and acquisition of the ESL speaking skills pursuant to inclusion of content-related emotions into the ESL learning in Ukrainian students. -
Relationship Between Emotional Intelligence and Coping Among Children in the U.S
RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND COPING AMONG CHILDREN IN THE U.S. Presented by: Sarah Vengen Faculty Supervisor: Dr. Hadih Deedat BACKGROUND ON EMOTIONAL INTELLIGENCE • Link between EI & social intelligence (SI) and their ability to influence each other (Schutte et al., 1998; Sharma, 2008) • Leading scholars in Emotional Intelligence (EI) literature • Salovey, Mayer, Caruso, Brackett, Bar-On, Wong, Law, Goleman, Schutte • Components of EI (Law et al., 2004; Bar-On, 2006; Schutte et al., 1998) • Perceive, Recognize, Identify, Appraise, Understand, Express, Regulate, Use, Manage in order to facilitate thinking and performance • Scales / Measures • WLEIS, Bar-On EQI, TEIQue, MEIS, Schutte EIS, SREIS • Literature reviewed is primarily international (Europe, Asia, Africa, Middle East); lack of studies performed on American subjects Mood Meter - Marc Brackett, PhD BACKGROUND ON COPING • Leading scholars in coping literature • Lazarus, Laborde • Strategies (from the BreifCope in Boyer et al., 2017) • Self-distraction, denial, substance use, emotional support, behavioral disengagement, venting, positive reframing, acceptance, religion, self-blame • Styles / Types • Problem-focused vs. emotion-focused • Active vs. passive coping • Scales / Measures • Coping Effectiveness Scale, Children’s Coping Strategies Checklist, Coping Inventory for Stressful Situations, BriefCope PURPOSES 1) Discuss preliminary findings and themes from this review of available literature that explores EI and coping in children up to 18 years old . 2) Raise -
Improving Emotion Perception and Emotion Regulation Through a Web-Based Emotional Intelligence Training (WEIT) Program for Future Leaders
Volume 11, Number 2, November 2019 pp 17 - 32 www.um.edu.mt/ijee Improving Emotion Perception and Emotion Regulation Through a Web-Based Emotional Intelligence Training (WEIT) Program for Future Leaders 1 Christina Köppe, Marco Jürgen Held and Astrid Schütz University of Bamberg, Bamberg, Germany We evaluated a Web-Based Emotional Intelligence Training (WEIT) program that was based on the four-branch model of emotional intelligence (EI) and which aimed at improving emotion perception (EP) and emotion regulation (ER) in future leaders. Using a controlled experimental design, we evaluated the short-term (directly after the WEIT program) and long-term (6 weeks later) effects in a sample of 134 (59 training group [TG], 75 wait list control group [CG]) business students, and additionally tested whether WEIT helped to reduce perceived stress. For EP, WEIT led to a significant increase in the TG directly after training (whereas the wait list CG showed no change). Changes remained stable after 6 weeks in the TG, but there were no significant differences between the TG and CG at follow-up. By contrast, ER did not show an increase directly after WEIT, but 6 weeks later, the TG had larger improvements than the CG. The results mostly confirmed that emotional abilities can be increased through web-based training. Participants’ perceived stress did not decrease after the training program. Further refinement and validation of WEIT is needed. Keywords: emotional intelligence, web-based training, stress, future leaders First submission 15th May 2019; Accepted for publication 4th September 2019. Introduction Emotional intelligence (EI) has attracted considerable attention in recent years (see Côté, 2014). -
What Is Emotional Intelligence (EQ)?
What is Emotional Intelligence (EQ)? By Michael Akers & Grover Porter – available online at: http://psychcentral.com/lib/what-is-emotional-intelligence-eq/ ~ 2 min read For most people, emotional intelligence (EQ) is more important than one’s intelligence (IQ) in attaining success in their lives and careers. As individuals our success and the success of the profession today depend on our ability to read other people’s signals and react appropriately to them. Therefore, each one of us must develop the mature emotional intelligence skills required to better understand, empathize and negotiate with other people — particularly as the economy has become more global. Otherwise, success will elude us in our lives and careers. “Your EQ is the level of your ability to understand other people, what motivates them and how to work cooperatively with them,” says Howard Gardner, the influential Harvard theorist. Five major categories of emotional intelligence skills are recognized by researchers in this area. Understanding the Five Categories of Emotional Intelligence (EQ) 1. Self-awareness. The ability to recognize an emotion as it “happens” is the key to your EQ. Developing self-awareness requires tuning in to your true feelings. If you evaluate your emotions, you can manage them. The major elements of self-awareness are: § Emotional awareness. Your ability to recognize your own emotions and their effects. § Self-confidence. Sureness about your self-worth and capabilities. 2. Self-regulation. You often have little control over when you experience emotions. You can, however, have some say in how long an emotion will last by using a number of techniques to alleviate negative emotions such as anger, anxiety or depression. -
Sorry, There's No Easy Toolkit for Social-Emotional Learning. but It's Worth the Work SEL Has an $11 Return on Every $1 Investment
OPINION Sorry, There's No Easy Toolkit for Social-Emotional Learning. But It's Worth the Work SEL has an $11 return on every $1 investment. So what are we waiting for? By Marc Brackett & Diana Divecha January 17, 2020 Not long ago the two of us gave a talk to a group of mental-health professionals about the teaching of emotional intelligence. Afterwards, a leading child psychiatrist approached us to applaud our appeal for greater social-emotional learning (SEL) in schools. The psychiatrist added: “We’re going to need another 8,000 child psychiatrists in the United States to deal with all of the mental-health problems our children are having.” “You misunderstood us,” Marc responded. “We want to put you all out of business.” The ultimate goal of the SEL field is to weave the teaching of social-emotional intelligence throughout children's education so lives are enhanced and crises are rare. But, as the eminent psychiatrist was pointing out, we have a long way to go. This winter marks the 30th anniversary of the first scholarly publication on emotional intelligence. In it, Peter Salovey of Yale University and John D. Mayer of the University of New Hampshire challenged the proposition that emotions mostly cloud judgment and get in the way of rational thought. Instead, Salovey and Mayer said, when we use emotions wisely, we make better decisions and have improved mental health and relationships. A few years later, the Collaborative for Academic, Social, and Emotional Learning (CASEL) was founded to support high-quality, evidence-based SEL as essential curricula from preschool through high school. -
Finding the Golden Mean: the Overuse, Underuse, and Optimal Use of Character Strengths
Counselling Psychology Quarterly ISSN: 0951-5070 (Print) 1469-3674 (Online) Journal homepage: https://www.tandfonline.com/loi/ccpq20 Finding the golden mean: the overuse, underuse, and optimal use of character strengths Ryan M. Niemiec To cite this article: Ryan M. Niemiec (2019): Finding the golden mean: the overuse, underuse, and optimal use of character strengths, Counselling Psychology Quarterly, DOI: 10.1080/09515070.2019.1617674 To link to this article: https://doi.org/10.1080/09515070.2019.1617674 Published online: 20 May 2019. Submit your article to this journal View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=ccpq20 COUNSELLING PSYCHOLOGY QUARTERLY https://doi.org/10.1080/09515070.2019.1617674 ARTICLE Finding the golden mean: the overuse, underuse, and optimal use of character strengths Ryan M. Niemiec VIA Institute on Character, Cincinnati, OH, USA ABSTRACT ARTICLE HISTORY The science of well-being has catalyzed a tremendous amount of Received 28 February 2019 research with no area more robust in application and impact than Accepted 8 May 2019 the science of character strengths. As the empirical links between KEYWORDS character strengths and positive outcomes rapidly grow, the research Character strengths; around strength imbalances and the use of strengths with problems strengths overuse; strengths and conflicts is nascent. The use of character strengths in understand- underuse; optimal use; ing and handling life suffering as well as emerging from it, is particularly second wave positive aligned within second wave positive psychology. Areas of particular psychology; golden mean promise include strengths overuse and strengths underuse, alongside its companion of strengths optimaluse.Thelatterisviewedasthe golden mean of character strengths which refers to the expression of the right combination of strengths, to the right degree, and in the right situation. -
1 the Development of Empathy: How, When, and Why Nicole M. Mcdonald & Daniel S. Messinger University of Miami Department Of
1 The Development of Empathy: How, When, and Why Nicole M. McDonald & Daniel S. Messinger University of Miami Department of Psychology 5665 Ponce de Leon Dr. Coral Gables, FL 33146, USA 2 Empathy is a potential psychological motivator for helping others in distress. Empathy can be defined as the ability to feel or imagine another person’s emotional experience. The ability to empathize is an important part of social and emotional development, affecting an individual’s behavior toward others and the quality of social relationships. In this chapter, we begin by describing the development of empathy in children as they move toward becoming empathic adults. We then discuss biological and environmental processes that facilitate the development of empathy. Next, we discuss important social outcomes associated with empathic ability. Finally, we describe atypical empathy development, exploring the disorders of autism and psychopathy in an attempt to learn about the consequences of not having an intact ability to empathize. Development of Empathy in Children Early theorists suggested that young children were too egocentric or otherwise not cognitively able to experience empathy (Freud 1958; Piaget 1965). However, a multitude of studies have provided evidence that very young children are, in fact, capable of displaying a variety of rather sophisticated empathy related behaviors (Zahn-Waxler et al. 1979; Zahn-Waxler et al. 1992a; Zahn-Waxler et al. 1992b). Measuring constructs such as empathy in very young children does involve special challenges because of their limited verbal expressiveness. Nevertheless, young children also present a special opportunity to measure constructs such as empathy behaviorally, with less interference from concepts such as social desirability or skepticism. -
UNDERSTANDING DEPRESSION Managing Your Emotions
UNDERSTANDING DEPRESSION Managing Your Emotions STUDENT WELLNESS CENTRE ■ What are Emotions? ■ Effectively Managing Anger ■ What is Emotional Intelligence? ■ Effectively Managing Grief ■ Identifying Feelings ■ Managing Mood Shifts ■ Coping with Strong Emotion What Are Emotions? Emotions are a natural and healthy part of being human. In fact, they are vital to survival. Emotions motivate us, help us to adapt to our environment, prioritize, connect with others, and focus on finding solutions to problems. An emotion is a complex psychological event that involves a mixture of at least three reactions: ■ A physiological response: such as a change in heart rate, muscles tension, blood pressure and respiration rate. ■ A subjective experience: internal thoughts and feelings about the response. This includes what you tell yourself, and how you label the experience (e.g., “good” or “bad”). ■ An expressive reaction: such as a distinctive facial expression or body posture. Because culture plays an important role here, this may include the learned or habitual reactions that you associate with the emotion. The experience of emotions is subjective. Nobody truly knows how another person experiences an emotion. Some emotions are experienced as strong and others as a mild. What you tell yourself about an emotion is also an important part of how you experience it. Similarly, what others tell you, and how the world around you handles and labels emotions is an important aspect of your experience. People vary greatly in their overall general level of emotional reactivity. A person who is “less reactive” might generally be calm, easy going, and take a slow pace. A person who is “more reactive” may be excitable, have stronger reactions to experiences and go at a faster pace. -
Do K-12 School Facilities Affect Education Outcomes?
Tennessee Advisory Commission on Intergovernmental Relations Staff Information Report January 2003 TACIR Publication Policy Staff Information Reports, Staff Briefs, Staff Technical Reports and Staff Working Papers and TACIR Fast Facts are issued to promote the mission and objectives of the Commission. These reports are intended to share information and research findings relevant to important public policy issues in an attempt to promote wider understanding. Only reports clearly labeled as Commission Reports represent the official position of the Commission. Others are informational. The Tennessee Advisory Commission on Intergovernmental Relations Suite 508, 226 Capitol Boulevard, Nashville,Tennessee 37243 (615) 741-3012 FAX (615) 532-2443 email: [email protected] website: www.state.tn.us/tacir Do K-12 School Facilities Affect Education Outcomes? A Staff Information Report The following staff have contributed to this report: Ed Young, Ph.D. Research Consultant Principal Author Harry A. Green, Ph.D. Executive Director Lynnisse Roehrich-Patrick, J.D. Director of Special Projects Project Manager, Editor Linda Joseph Publications Assistant Teresa Gibson Publications Assistant January 2003 ii Do K-12 School Facilities Affect Education Outcomes? Foreword In 1988, more than half of Tennessee’s school systems joined together and filed a lawsuit charging the state with failing to fund all systems, rich and poor, equitably, and in 1993, they won. In the meantime and after two years of deliberation, the Tennessee General Assembly adopted a new funding formula as part of the Education Improvement Act (EIA) of 1992. The plaintiffs were not entirely satisfied with that remedy and challenged it on three bases: it did not solve the problem of inequity among the systems in teachers’ salaries, it should be funded immediately and not phased in over six years as the legislature planned, and it did not provide adequate funds to bring all school buildings up to modern standards. -
How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test
Journal of Intelligence Article How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test Daniel V. Simonet 1,*, Katherine E. Miller 2 , Kevin L. Askew 1, Kenneth E. Sumner 1, Marcello Mortillaro 3 and Katja Schlegel 4 1 Department of Psychology, Montclair State University, Montclair, NJ 07043, USA; [email protected] (K.L.A.); [email protected] (K.E.S.) 2 Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, USA; [email protected] 3 Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland; [email protected] 4 Institute of Psychology, University of Bern, 3012 Bern, Switzerland; [email protected] * Correspondence: [email protected] Abstract: Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we find that (a) a first-order oblique and bifactor model provide excellent and comparably fitting representation of an EI structure with self-regulatory skills operating independent of general ability, (b) residualized EI abilities uniquely Citation: Simonet, Daniel V., predict criteria over general cognitive ability as referenced by fluid intelligence, and (c) emotion Katherine E. Miller, Kevin L. Askew, recognition and regulation incrementally predict grade point average (GPA) and affective engagement Kenneth E. Sumner, Marcello Mortillaro, and Katja Schlegel. 2021. in opposing directions, after controlling for fluid general ability and the Big Five personality traits. -
Emotion Classification Using Physiological Signals
Emotion Classification Using Physiological Signals Byoung-Jun Park1, Eun-Hye Jang1, Myoung Ae Chung1, Sang-Hyeob Kim1*, Jin Hun Sohn2* 1IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, 305-700 2Department of Psychology/Brain Research Institute, Chungnam National University, Daejeon, 305-765 ABSTRACT Objective: The aim of this study is to discriminate negative emotions, such as sadness, fear, surprise, and stress using physiological signals. Background: Recently, the main topic of emotion classification research is to recognize human’s feeling or emotion using various physiological signals. It is one of the core processes to implement emotional intelligence in human computer interaction (HCI) research. Method: Electrodermal activity (EDA), electrocardiogram (ECG), skin temperature (SKT), and photoplethysmography (PPG) are recorded and analyzed as physiological signals. And emotional stimuli are audio-visual film clips which have examined for their appropriateness and effectiveness through preliminary experiment. For classification of negative emotions, five machine learning algorithms, i.e., LDF, CART, SOM, and Naïve Bayes are used. Results: Result of emotion classification shows that an accuracy of emotion classification by CART (84.0%) was the highest and by LDA (50.7%) was the lowest. SOM showed emotion classification accuracy of 51.2% and Naïve Bayes was 76.2%. Conclusion: We could identify that CART was the optimal emotion classification algorithm for classifying 4 negative emotions (sadness, fear, surprise, and stress). Application: This result can be helpful to provide the basis for the emotion recognition technique in HCI. Keywords: Emotion classification, Negative emotion, Machine learning algorithm, Physiological signal 1. Introduction Nasoz, Alvarez, Lisetti, and Finkelstein, 2003).