Blended learning which is well-known as cross and mixed-mode learning. It is merging online and face-to-face pedagogical method. The purpose of this kind of learning is to produce combined blended learning atmospheres. Lately, blended learning has blasted as the rapid technology advancement in Information Communication Technology (ICT). It is enabling learning modality of choice of educators worldwide.As part of this learning model, some parties such as tutors, officers, and representatives in schools, colleges, higher education, governing boards, and ministries are investigating the probabilities of blended learning as a pedagogically sound and valuable technique of broadening access to an education.In many developed countries, blended learning has become the most favoured model of learning due to a natural consequence of all over the internet and World Wide Web. Online technology has touched education and every aspects of human endeavour in the past 2 centuries. Blended learning has developed as it increased popularity.However, in developing countries such as in Asean Regions, much research are done. This is becoming one of the challenges since the number of students and teachers in developing countries is bigger than in developed one. Moreover the adoption of technology in developing countries is much greater due to development of latest software, hardware, and capabilities on electronic communications.It means that blended learning is always changing and the focus of study can be more dynamic. Aim and contributionsIt is interestingly to note that education systems are continuously changing, with the common reason being the drive to react to the challenges of politic, economy, and
The idea of Happiness at Work is drawn from psychology and economic studies. It is often considered as a synonym with ‘wellbeing’ and defined as a state characterized by a high level of life satisfaction, a high level of positive emotions, and less negative emotions. This research aims to validate the Happiness at Work scale in the Indonesian context. In this study, the researchers conducted cross-cultural adaptation for the Happiness at Work scale following systematic procedures to produce the Scale of Happiness at Work in the Indonesian language. Afterward, the researchers evaluated the content validity with the help of professional judgment and measured the Content Validity Index at the item level and the scale level. Further, to examine the psychometric properties of the Happiness at Work scale, the researchers administer the questionnaire to a sample of 105 (35 male and 70 female) lecturers to conduct exploratory factor analysis to formulate the new dimensionality of the Happiness at Work scale. The results of Exploratory Factor Analysis indicated that Happiness at Work in the Indonesian context could be measured using four dimensions. To confirm that the extracted dimensions measure a single construct, the researchers administered the produced version to a sample of 370 (147 male and 223 female). Afterward, researchers conducted confirmatory factor analysis to evaluate the validity and reliability of the measurement model. This research found out that the Indonesian version of Happiness at Work measurement is reliable and valid. Thus, this study may contribute to the happiness at work literature of non-western context. In conclusion, the Indonesian-Happiness at Work scale shows robust psychometric properties that can be used for further research.
Backgrounds Accurate measurement and suitable strategies facilitate people regulate their sadness in an effective manner. Regulating or mitigating negative emotions, particularly sadness, is crucial mainly because constant negative emotions may lead to psychological disorders, such as depression and anxiety. This paper presents an overview of sadness regulation strategies and related measurement. Method Upon adhering to five-step scoping review, this study combed through articles that looked into sadness regulation retrieved from eight databases. Results As a result of reviewing 40 selected articles, 110 strategies were identified to regulate emotions, particularly sadness. Some of the most commonly reported strategies include expressive suppression, cognitive reappraisal, distraction, seeking social or emotional support, and rumination. The four types of measures emerged from the review are self-reported, informant report (parents or peers), open-ended questions, and emotion regulation instructions. Notably, most studies had tested psychometric properties using Cronbach’s alpha alone, while only a handful had assessed validity (construct and factorial validity) and reliability (Cronbach’s alpha or test-retest) based on responses captured from questionnaire survey. Conclusion Several sadness regulation strategies appeared to vary based on gender, age, and use of strategy. Despite the general measurement of emotion regulation, only one measure was developed to measure sadness regulation exclusively for children. Future studies may develop a comprehensive battery of measures to assess sadness regulation using multi-component method.
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