If properly trained, rural teachers can successfully digitalize their classrooms even with limited resources at hand. This study aims to empirically examine how teaching with limited digital resources affects student engagement and student performance in the rural school setting. The study involved 245 middle school-aged children from three rural…

Traditional phenotyping methods are labor-intensive, time-consuming, and often destructive measurements that describe plant traits. Technology allows the advancement of sensor-based phenotype data to be collected digitally. This area of work is called high-throughput phenotyping (HTP). HTP is rapid, non-destructive, and non-invasive. The effective…

The introduction of generative artificial intelligence (AI) technology is rapidly changing the field of human resource management (HRM). Management educators are called to prepare students for the opportunities and challenges this new technology will bring. Thus, our aim is to provide management educators with an assignment to introduce students…

This article focuses on integration of the technology of iSENSE into the secondary education as a teaching and learning tool to design, develop, and infuse digital learning experiences that utilize technology. The objective of each lesson was to use this application to achieve redefinition, create new tasks previously inconceivable, and transform…

The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…

This bibliometric study investigates the evolution and trends in quality assurance in distance higher education (QADHE) through a comprehensive analysis of Scopus-indexed publications spanning from 1993 to 2024. The research aims to address several critical aspects, including publication trends, international collaboration networks, influential…

Ideas of space within higher education are changing, influenced by pedagogical innovation, emerging technologies, and the experiences of the COVID-19 pandemic. This is most obvious in the expansion of hybrid education, where teaching happens simultaneously both online and on the physical campus. Hybrid learning spaces emerge from dynamic,…

This paper explores pre-service life sciences teachers' behavioral intentions toward integrating artificial intelligence into life sciences teaching. Despite the growing influence of AI in education, there is limited understanding of the factors affecting teachers' willingness to integrate AI into life sciences teaching. These factors could inform…

The introduction of artificial intelligence (AI) in education is seen as a promising tool to enhance learning outcomes and provide students with engaging learning environments in developing countries such as Colombia. This case study aimed to investigate teachers' perceptions of AI in K-12 education in public schools located in the Amazonian…

The underrepresentation of women in Engineering, Technology, and Computing (ETC) education, with enrollments in leading global institutions falling below 30%, is a persistent challenge; however, emerging data suggests the efficacy of structured interventions. Analyses of contemporary data demonstrate that a confluence of institutional,…

Integrating artificial intelligence (AI) in English for Nursing instruction has become increasingly important as healthcare becomes more technologically driven and globally connected. This systematic review analyzes 28 studies published from 2022 to 2024 to examine the current state of AI implementation in nursing ESP education. The findings…

Purpose: Education 4.0 (E 4.0) represents a new paradigm in the field of education, which emphasizes a student-centric approach that allows learners to access education anytime, anywhere, tailored to their individual needs through modern-day technologies. The purpose of the study was to unearth the critical success factors (CSFs) essential for the…

With the development of big data technology, higher education is transitioning towards intelligence and ecology. University English teaching, constrained by traditional models, faces challenges such as unmet student needs, inefficient resource allocation, and insufficient teacher-student interaction. Big data, through data collection, real-time…