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Enregistrement W228903214

Development of Emotional Intelligence in First-Year Undergraduate Students in a Frontier State.

2012· article· en· W228903214 sur OpenAlexaboutno aff
Gail Leedy, James E. Smith

Notice bibliographique

RevueCollege student journal · 2012
Typearticle
Langueen
DomainePsychology
ThématiqueEmotional Intelligence and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEmotional intelligencePsychologyNormativeSocial psychologyThe Emotional Intelligence AppraisalSocial intelligenceDevelopmental psychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Emotional Intelligence (EI) has been defined as knowing the emotional state of self and others. Its relevance for college student development is only beginning to be researched. In the present research, the Bar-On Emotional Quotient Inventory was administered to college students at the beginning and end of a semester-long course designed specifically for first-semester undergraduates at a public university in a sparsely populated state. At the beginning of the semester, student EI scores were significantly lower than the normative mean in several areas, but were generally within the normative range. Over the course of the semester, women made significant gains in total EI and three composite scores. In contrast, the scores for the men were stable across time. We are encouraged by the growth made by the women in this short time frame. Additional research is necessary to determine whether men can also achieve this surge in EI. Key Words: Emotional Intelligence, First year college experience, rural, Social-Emotional Learning ********** Emotional Intelligence (EI) has been defined as a set of emotional reasoning abilities composed not only of knowing one's own emotional state but also the emotional state of others (Mayer & Salovey, 1997). Research has been conducted on the role EI plays in performance within educational and management settings (Goleman, Boyatzis, & McKee, 2002). Importantly, it has been found that people with higher EI scores show more cooperation with others, better social skills, increased perspective-taking of others, and even higher levels of marital satisfaction (Schutte, et al., 2001). While there is evidence that EI increases with age (Bar-On & Parker, 2000), it is not clear whether EI can be trained or facilitated (Zeidner, Roberts, & Matthews, 2002). Reuven Bar-On (1997) conceptualized EI as consisting of five dimensions: intrapersonal, interpersonal, adaptability, stress management, and general mood. From these, Bar-On developed the Bar-On Emotional Quotient Inventory (EQ-i) (Multi-Health Systems). According to Baron (2006) the EQ-i was validated using data collected in Canada and the United States. Small differences in EI were found across age groups, with scores peaking for people in their forties. Additionally, small differences were found based on gender with women having higher scores than men on the Interpersonal dimension and men having higher scores in areas related to managing their emotions and adaptability. No ethnic differences were found. Dawda and Hart (2000) determined that the EQ-i has good reliability and validity with college students. Although they did not detect differences between the scores of college women and college men, they concluded that further research on gender differences should be conducted. The relationship between EQ-i scores and academic success in college has been explored. While some researchers found no correlation (Newsome, Day, & Catano, 2000) or only weak correlations (O'Connor & Little, 2003) between grade point average and EQ-i, Parker and colleagues (Parker, Summerfeldt, Hogan, & Majeski, 2004) have reported that academic success for first-year full-time college students was associated with specific subscales. In addition, a relationship between EQ-i and student retention has been reported (Parker, Hogan, Eastabrook, Oke, & Wood, 2006). Both Dawda and Hart (2000) and O'Connor and Little (2003) found lower than expected EQ-i scores for college students, leading to the possibility that students entering college do not have sufficient life experiences for mature emotional intelligence. Changes in EQ-i scores for undergraduates have been found over the course of 32 months of college (Parker, Saklofske, Wood, Eastabrook, & Taylor, 2005). These researchers determined that student scores increased in EQ-i Total and in all composite scales except the Interpersonal. Students transitioning from high school to college face a series of critical experiences across multiple life domains (Gall, Evans & Bellerose, 2000). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,371
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations13
Publié2012
Routes d'admission1
Résumé présentoui

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