Search Results for
"learning"

Although there are different definitions of leadership, there is a consensus that leadership denotes the ability to lead others as well as oneself to achieve specific goals. Leadership emphasizes multifaceted qualities that can be nurtured and trained by appropriate training and intervention programs (e.g., leadership education). Notably, student leadership programs can enrich students’ experiences, empower them to develop a sense of control over their lives and future, and cultivate qualities and competencies for future leadership roles. Generally speaking, effective student leadership programs can be embedded with diversified content and objectives, applying an integrated approach with action, reflection, learning, and practice to cultivate students’ inward and outward qualities. Despite diversified leadership theories and models adopted, most effective student leadership programs concentrate on teaching leadership knowledge, building students’ various leadership skills (e.g., problem-solving, planning, decision-making, and self-awareness), values, integrity, ethics, and morality, reflecting on one’s behaviors, attitudes, beliefs, and values, and providing opportunities for students to perform Service-learning or community practice under the supervision of mentors. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

The paradigm of learning-teaching has been significantly altered by the incorporation of smartphones into the classroom, which offer interactive learning-teaching techniques, real-time access to information and feedback, and collaborative opportunities. It does, however, also address other issues, such as a loss of academic focus and potential disturbances to the learning-teaching process. Therefore, this research develops a gamified smartphone learning-teaching application model based on the DACDUA (Define, Analyze, Classify, Design, Utilize, and Assess) philosophical model towards learners’ participation in the learning-teaching process. This research employs mixed-methods research design, combining qualitative data and quantitative data to develop a learning-teaching application and to evaluate and reflect learners’ participation in the learning-teaching. This research, conducted across nine universities in Indonesia with diverse geographical and governmental statuses, as well as state, private, and religious/non-religious affiliations, proves that the gamified smartphone within the DACDUA model significantly engages learners’ participation. The DACDUA systematic model aligns with the objectives of learning-teaching, and it can be designed to meet the diverse needs of learners. This study highlights the role of gamification components in promoting active learning-teaching. Thus, this research recommends further scholars to investigate learners’ academic performance, motivation, perception, and the enrichment of philosophical values in the implementation of DACDUA gamified smartphones in the learning-teaching process. © 2025, Slovenska Vzdelavacia Obstaravacia. All rights reserved.

Virtual reality (VR)-based education has gradually emerged as a significant trend in future educational development, as VR technology can concretize and visualize various abstract concepts in teaching. Given the importance of evaluating VR educational institutions to promote VR education, this study proposes a multi-attribute group decision-making model that integrates trust networks and three-dimensional emotions within an interval-valued Pythagorean fuzzy set (IVPFS) environment. First, considering the decision-makers’ affective cognition, a three-dimensional emotion model is incorporated into the IVPFS framework. Second, the Beta function is employed to describe changes in the trust relationships pre- and post-decision-making, thereby adjusting the weights of the decision-makers. Furthermore, the extended evidential reasoning (ER) method is utilized to rank and select VR educational institutions. The results indicate that VRSCHOOL (0.6338) outperforms VISTANDARD (0.6214), GROWLIB (0.5834), and STARUR (0.5738). Finally, the robustness and effectiveness of the proposed method are validated through sensitivity and comparative analyses. © The Author(s) under exclusive licence to Taiwan Fuzzy Systems Association 2025.