Introduction: Emotional intelligence and motivation are considered antecedent variables in conflict. Studies show the isolated impact of emotional intelligence on conflict and motivation on conflict, but the integrative impact of emotional intelligence and the need for power on the selection of a conflict resolution style is unknown. Consequently,…

Given the deluge of technology flowing into African countries from the global north, it is not a hyperbole to make a point that developed nations are better equipped to practically integrate Smart Technologies supporting Artificial Intelligence (STAI) into higher education teaching methodologies. However, conversations regarding the application of…

Moral development is crucial for a meaningful life. Many well-founded approaches and models are present in the moral development literature, which is a very diverse and populated field. The model of a 'person of moral growth' presented in this paper is a contribution to moral growth research based on personalist virtue ethics. Personalist virtue…

This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…

Informed by social science fields including psychology and public health, we propose a Model for Emotional Intelligence to advance biology education research in affective learning. The model offers a shared discourse for biology education researchers to develop and assess evidence-based strategies to perceive, use, understand, and manage emotions…

English features prominently in global communication as part of the knowledge economy in Indonesia and worldwide. Meritocracy represents a key concept within the rhetoric of this economy, as it promises that how well people do in life is not determined by external matters, but mostly by how hard they try. Included here is how hard they study…

Discussion of the potential of open data for impact -- including in education -- has grown. Open data from Wikipedia, the world's largest open educational resource, is used in a variety of learning contexts. A sociotechnical concern in this data is that it arises in a platform-based social dynamic, governed by norms and conventions, and negotiated…

The ubiquity of formal education in modern nations is often accompanied by an assumption that students' motivation for learning is innate and self-sustaining. The latter is true for most children in domains (e.g., language) that are universal and have a deep evolutionary history, but this does not extend to learning in evolutionarily novel domains…

In the rapidly evolving landscape of education, Artificial Intelligence (AI) has emerged as a transformative tool with the potential to revolutionize teaching and learning processes. However, the successful integration of AI in education depends on the trust and acceptance of teachers. This study addresses a significant gap in research by…

Today's youth are growing up in a world where artificial intelligence (AI) technologies shape how we live, work, play, socialize, and navigate our world. This rapid technological change is already significantly shifting individuals' lives and the opportunities they can obtain. Thus, researchers, educators, and government leaders must consider how…

This study explores the transformative journey of higher education towards smart universities, emphasizing integrating cutting-edge technologies such as augmented reality, virtual reality, artificial intelligence, and biometric systems. This evolution responds to the evolving demands of society, aiming to significantly enhance the educational…

Generalized structured component analysis (GSCA) is a multivariate method for specifying and examining interrelationships between observed variables and components. Despite its data-analytic flexibility honed over the decade, GSCA always defines every component as a linear function of observed variables, which can be less optimal when observed…

This paper contributes to the ongoing efforts aimed at enhancing Outcome-Based Education (OBE) assessment methodologies by addressing some critical gaps and exploring new solutions. Our work focuses on two main areas: firstly, this study proposes an improved assessment method for OBE. It refines traditional approaches by classifying course…

Existent research on intercultural exposure and cultural intelligence has been largely conducted in management and management education, the latter with business student subjects. Aiming to attain a more holistic view in this regard, we attend to a civic-related outcome, namely, the emergence of (cosmopolitan-based) global citizenship attitudes,…

This case study explores the integration of language-generating artificial intelligence (LGAI) in K-12 instructional planning, focusing on a middle school science teacher's use of these tools within the Technological Pedagogical Content Knowledge (TPACK) framework. The study investigates two primary concerns: how LGAI is utilized for lesson…