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    SELF-DIRECTED BLENDED LEARNING MODEL ON EMOTIONAL INTELLIGENCE AND ACHIEVEMENT
    (2026-01-04)
    Liu, Fang
    ;
    Sriwisathiyakun, Kanyarat
    ;
    Petsangsri, Sirirat
    In the era of advancing globalization, developing emotional intelligence (EI) has become essential for adolescents to manage emotional stress, build social relationships, and adapt to changing environments. This study developed a Self-Directed Blended Learning (SDBL) model incorporating Intangible Cultural Heritage music to enhance students' EI and academic achievement. The research was conducted in two phases: First, the SDBL model was designed and validated, consisting of five components (setting learning targets, planning, gathering information, online and offline learning activities, and post-lesson reflection). Five education experts evaluated the model using a 5-point Likert scale, yielding an average score of 4.84, confirming its pedagogical quality. Second, the teaching experiment was conducted at Taiyuan University of Science and Technology. A total of 112 non-music undergraduate students, who voluntarily enrolled in the Shanxi Intangible Cultural Heritage Music Appreciation course, participated in the study. The students were randomly divided into an experimental group and a control group, with 56 students in each. After the intervention, both groups completed post-tests to measure their emotional intelligence and academic achievement. Emotional intelligence was assessed using a revised 25-item version of the Schutte Self-Report Emotional Intelligence Test (SSEIT). Five experts evaluated the test's content validity using the Item-Objective Congruence (IOC) method, with scores ranging from 0.6 to 1. Academic achievement was measured using test items from a nationally recognized Intangible Cultural Heritage (ICH) database maintained by the Chinese government. Five experts reviewed these items, and their IOC scores ranged from 0.8 to 1.0. The collected data were analyzed using t-tests and MANOVA. The results showed that the experimental group performed significantly better than the control group in both emotional intelligence and academic achievement. Additionally, a positive correlation was found between the two variables. The findings demonstrate that SDBL model incorporating Intangible Cultural Heritage music can enhance EI and academic achievement while simultaneously developing cognitive and emotional competencies, offering an innovative solution for preparing students to meet future challenges.
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    Exploring compensation fairness, emotional engagement, and task performance of enterprise employees: a moderated-moderation approach with emotional intelligence and artificial intelligence adoption as moderators
    (2025-01-01)
    Qiu, Yingming
    ;
    Rojniruttikul, Nuttawut
    The rapid development of artificial intelligence technology has profoundly impacted the behavior of enterprise employees. How to improve employee engagement and performance in the new era is an important issue in enterprise management. Grounded in the Group Engagement Model (GEM), this study investigates the impact of various dimensions of employee compensation fairness (CF) on task performance (TP) via emotional engagement (EE), with emotional intelligence (EI) and artificial intelligence adoption (AIA) as moderators. This study employs structural equation modeling and three-way interaction analysis to examine data from 311 employees in Chinese media enterprises. The results indicate that distributive fairness (DF), procedural fairness (PF), and interactional fairness (IF) are positively associated with EE, which is positively linked to TP. Among the three dimensions of CF, DF demonstrated the strongest positive relationship with EE, and PF exhibited the largest total effect on TP. The moderating effect of EI on the relationship between IF and EE is significantly and positively related to AIA; and the moderated-moderated mediation effects exists. These findings extend the GEM and suggest enterprise managers should tailor their compensation systems and technology strategies, foster a favorable working environment, to enhance employee productivity, and promote sustainable development of the enterprise.