Comparison of emotional and social intelligence assessment of students in state and private school during the pandemic

This study aims to determine differences in emotional and social intelligence assessment between public and private school students using Android-based PKES (Penilaian Kecerdasan Emosional-Sosial or Social-Emotional Intelligence Assessment) application in strengthening student character during the pandemic. This survey study with a quantitative approach was analyzed using a comparative model. The subjects were 120 parents and students of public and private elementary schools in Yogyakarta chosen by purposive sampling. Data were collected through interviews, observations, and Likert scale tests with the PKES application and analyzed by t-test. It reveals that state elementary school students' emotional and social intelligence emphasizes the psychomotor aspect or good behavior with the habituation method. Meanwhile, private elementary school students emphasize the cognitive aspect of character knowledge through the lecture method. The affective aspect of social-emotional intelligence in public and private elementary schools is still low. Students have not been trained to feel the good character impact with various methods, so good behavior will not last until they are old because it has not been embedded in their hearts. Different tests with t-test obtained 0.378>0.05, so the difference is insignificant. The emotional and social intelligence of public and private elementary school children during the pandemic is not much different. Because students study at home during the pandemic, their character is more influenced by parents than teachers. It implies that parents and teachers should more often train students to feel happy doing good deeds, so good character is embedded in the heart and lasts for a long time.

The Influence and Interplay of Emotional Intelligence and Leadership Type on Early Childhood Educators’ Organizational Commitment

The purpose of this study was to assess the influence of emotional intelligence on the organizational commitment of early childhood educators. Organizational commitment and its precursor, job satisfaction, have gained relevance because of routinely high industry of turnover. The interplay among educators’ job satisfaction, organizational commitment, and supervisors’ leadership type were secondarily assessed. A valid and reliable survey was administered to educators in the southeastern United States. Although select dimensions were correlated, no significant relationship was found between educators’ overall emotional intelligence and organizational commitment. However, emotional intelligence was moderately correlated with job satisfaction. There was no significant relationship found between supervisors’ leadership traits and processes and educators’ organizational commitment, although educators’ job satisfaction and supervisors’ leadership traits and processes were slightly correlated. Based on positive associations within the current study, it is recommended that organizations incorporate emotional intelligence assessment into the educator hiring process as well as determine the job satisfaction and organizational commitment levels and leadership type preferences of current educators as a basis for forming training budgets, retention strategies, and succession management plans.

Tracking Accuracy of Strategic Intelligence Forecasts: Findings from a Long-Term Canadian Study

Forecasting plays a vital role in intelligence assessment and contributes to national security decision-making by improving strategic foresight. Remarkably, most intelligence organizations do not proactively track their forecasting accuracy and, therefore, do not know how accurate their forecasts are or what types of biases intelligence analysts (or organizations) might exhibit. We review research on geopolitical forecasting and a roughly decade-long program of research to assess the accuracy of strategic intelligence forecasts produced by and for the Government of Canada. This research is described in three phases corresponding to previously published research, following which novel analyses (drawing from the data used in the earlier phases) are reported. The findings reveal a high degree of forecasting accuracy as well as significant underconfidence. These results were evident regardless of whether analysts assigned numeric probabilities to their forecasts. However, the novel analyses clarified that there is a substantial cost to accuracy if end-users rely on their own interpretations of verbal probability terms used in the forecasts. We recommend that intelligence organizations proactively track forecasting accuracy as a means of supporting accountability and organizational learning. We also recommend that intelligence organizations use numeric probabilities in forecasts as a means of improving intelligence producer-consumer agreement in the interpretation of forecasts and other probabilistic assessments.

Emotional and social intelligence assessment model for student character reinforcement

PurposeThe 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/approachThis 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.FindingsThe 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/implicationsThis 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 implicationsTeachers 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/valueThe 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.

A measurement framework of crowd intelligence

Purpose The originality of the crowd cyber system lies in the fact that it possesses the intelligence of multiple groups including intelligence of people, intelligence of objects and intelligence of machines. However, quantitative analysis of the level of intelligence is not sufficient, due to many limitations, such as the unclear definition of intelligence and the inconformity of human intelligence quotient (IQ) test and artificial intelligence assessment methods. This paper aims to propose a new crowd intelligence measurement framework from the harmony of adaption and practice to measure intelligence in crowd network. Design/methodology/approach The authors draw on the ideas of traditional Confucianism, which sees intelligence from the dimensions of IQ and effectiveness. First, they clarify the related concepts of intelligence and give a new definition of crowd intelligence in the form of a set. Second, they propose four stages of the evolution of intelligence from low to high, and sort out the dilemma of intelligence measurement at the present stage. Third, they propose a framework for measuring crowd intelligence based on two dimensions. Findings The generalized IQ operator model is optimized, and a new IQ algorithm is proposed. Individuals with different IQs can have different relationships, such as cooperative, competitive, antagonistic and so on. The authors point out four representative forms of intelligence as well as its evolution stages. Research limitations/implications The authors, will use more rigorous mathematical symbols to represent the logical relationships between different individuals, and consider applying the measurement framework to a real-life situation to enrich the research on crowd intelligence in the further study. Originality/value Intelligence measurement is one of foundations of crowd science. This research lays the foundation for studying the interaction among human, machine and things from the perspective of crowd intelligence, which owns significant scientific value.

Cultural Bias in Intelligence Assessment Using a Culture-Free Test in Moroccan Children

Objective Previous research has shown that cognitive tests can lead to misclassification when applying non-representative norms to measure cognitive performance. The objective of this study was to investigate whether this misclassification also occurs with a non-verbal so-called “culture-free” intelligence test administered to different age groups. Method The intelligence of a sample of healthy Moroccan children (N = 147) ages 7, 9, and 11 was assessed using the Coloured Raven’s Progressive Matrices (CPM). Raw scores were used to study age differences, as well as misclassifications when applying the norms of three countries culturally different from Morocco (United Kingdom, Spain, and Oman). Results Intelligence performance was not within the normal range when non-representative norms were applied to the Moroccan raw scores. Misclassifications accounted for a large percentage of the participants that supposedly displayed intelligence deficits, especially when applying the British norms. Up to 15.68% of the healthy children fell within the “intellectually impaired” range, and up to 62.5% fell “below average,” with these percentages especially higher at older ages. Conclusions Our findings confirm that “culture-free” tests should be adapted to each culture and applied together with their culture’s specific norms to prevent misclassification and allow for a better, unbiased neuropsychological assessment.

The Validation of LIAA (Linguistic Intelligence Assessment Android) Development In Elementary School

This study provides an overview of the validation results of teachers and media experts to assess the LIAA (Linguistic Intelligence Assessment Android) application, using the research and development method. This method is used to develop a product and tests its effectiveness. However, this article is just for developing and designing LIAA. The results of the study showed response proportion: 78% for the teacher's language use, 84% for ease of application, 75% for final clarity of assessment, 84% for the presentation, 72% for the average of the final assessment test. Validation from media experts to assess the appropriateness of using the LIAA application with an average of 88% (very valid category). So it is concluded that the LIAA application can be applied on a wide scale in measuring the linguistic intelligence of elementary school students.