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…

Artificial intelligence (AI) has been making considerable inroads into everyday lives, and AI applications and resources can be found in homes, businesses, entertainment venues, and--of course--in schools. The rapid rate at which AI is being integrated into education and placed in the hands of students, teachers, and other staff has prompted a…

This study reports on the causal effects of using a non-generative artificial intelligence (AI) chatbot to provide course-specific, proactive outreach and support to students in large-enrollment undergraduate courses. Across both an American Government and Microeconomics course, students randomly assigned to receive chatbot messaging were four…

Artificial Intelligence (AI) powered translation influxes in the translation industry. Yet, questions have arisen about the quality of AI-powered translation systems (AIPTSs). Therefore, this study aims to evaluate the translation quality generated by ChatGPT for the Farewell Sermon. Using House's (2015) model of translation quality assessment…

Generative Artificial Intelligence (GenAI) has rapidly evolved to perform complex tasks across diverse domains. Despite its potential to redefine how we work and learn, generative AI's effectiveness hinges on the extent to which it is trusted--by individuals, organizations, and broader societal systems. At the heart of this issue lie three…

Learning engagement is an essential indication to define students' learning pacification in the class, and its automated identification technique is the foundation for exploring how to effectively explain the motive of learning impact modifications and making intelligent teaching choices. Current research have demonstrated that there is a direct…

My study asks whether the intent of teachers in independent schools to stay at or leave their school is related to the servant leadership characteristics of their head of school. There are few studies on servant leadership, particularly its influence on teacher retention in independent schools. The servant leadership model has much appeal on face…

The potential of AI in K-12 education is vast, promising personalized learning experiences, enhanced engagement, and innovative instructional tools. However, its introduction into classrooms brings forth concerns ranging from ethics to teacher preparedness. Drawing on Christensen's concept of disruptive innovation, this study aims to assess and…

In 2023, ChatGPT emerged as a transformative force in education, igniting widespread interest across academia. This paper rigorously investigates ChatGPT's impact on higher education using a mixed-methods approach, comparing its (ChatGPT) performance with real students' work in undergraduate assignments. Key findings reveal ChatGPT consistently…

This paper is a review of student perceptions and usage of ChatGPT and other Artificial Intelligence (AI) tools. Technology has made significant changes in education, and in the last 30 years, none may be as impactful as what we refer to as ChatGPT as this was the first tool to make inroads into a chat-based artificial intelligence available to…

Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…

High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…