Efficient and profitable business operations today rely on the use of advanced technologies. This is particularly evident in managing family farms in the competitive broiler chicken industry. Farmers raising broiler chickens from chick to optimum weight in five weeks require investments in and use of smart farming technologies employing the…

This paper explores the fundamental possibilities of employing mobile technologies for 3D scanning in primary, secondary, and tertiary history education. Students can use the Luma AI tool to create 3D models of historical artefacts, thereby gaining a deeper understanding of cultural heritage through immersive and interactive engagement. The…

Recent advances in generative artificial intelligence have substantially influenced educational practices, including those at the postgraduate level. This study explores whether and how generative artificial intelligence (Gen AI) improves postgraduates' creativity in research projects. Qualitative analysis of interviews with 12 participants from…

Purpose: This study investigates how digital leadership and strategic resource allocation coalesce to shape educational management in the post-pandemic landscape. It emphasizes a configurational approach using fuzzy-set qualitative comparative analysis (fsQCA) to examine causal combinations driving effective digital transformation in schools.…

Generative AI models have demonstrated great promise in a variety of fields, including language learning and translation tasks. This research aims to develop a web-based pronunciation training system using Generative AI techniques to provide real-time feedback and multilingual support. The system leverages advanced AI models including pre-trained…

This study explores how Google Assistant can enhance the speaking skills of English as a foreign language (EFL) learners with an emphasis on involvement, pronunciation, accuracy, and fluency. The study addresses the main question of whether Google Assistant helps EFL students become more proficient speakers through various approaches. A total of…

This study systematically explores the thematic evolution of articles in "The Physics Teacher" and "Physics Education" journals during a critical period in modern history, from the Cold War era to the prepandemic world (1966-2019). To contextualize the analysis, we first present an overview of historical events and developments…

AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…

Early care and education (ECE) teachers play a significant role in creating the social and emotional learning climate in the classroom. The present qualitative study explores short and long-term outcomes of Social Emotional Learning for Teachers (SELF-T), an online intervention that was delivered as part of a comprehensive professional development…

Background: The increasing capabilities of generative artificial intelligence (AI), exemplified by OpenAI's transformer-based language model GPT-4 (ChatGPT), have drawn attention to its application in educational contexts. This study evaluates the potential of such models in generating German reading comprehension texts for educational large-scale…

Aim/Purpose: This study investigates the key factors influencing preschool teachers' sustained use of Artificial Intelligence-Generated Content (AIGC) technology in educational settings. While prior research has extensively examined initial adoption, little attention has been given to understanding the continuous intention of preschool teachers…

The integration of deep learning in education has the potential to enhance pedagogical practices, personalized learning, and adaptive instruction. However, Islamic schools face unique challenges in adopting AI-driven educational models due to technological limitations, digital literacy disparities, and regulatory constraints. This study assesses…

This mixed-methods study investigated the effectiveness of Generative AI (GenAI) powered intelligent tutoring systems (ITS) in undergraduate physics education, specifically comparing learning outcomes between students using Khanmigo (Khan Academy's AI tutor) and the Google search engine. The study involved 69 undergraduate students divided into…

Artificial Intelligence (AI) is ubiquitous, yet the perceptions of Filipino undergraduate students (UGS) remain limited. Using an explanatory sequential mixed methods design, we surveyed 537 UGS to examine their knowledge and beliefs about AI in higher education. An adapted instrument was first validated through exploratory factor analysis,…

Recent advancements in generative artificial intelligence (GenAI) have drawn significant attention from educators and researchers. However, its effects on learners' programming performance, self-efficacy and learning processes remain inconclusive, while the mechanisms underlying its efficiency-enhancing potential are underexplored. This study…