Following indications from international organizations, this study tests the associations between the five domains of social, emotional, and behavioral (SEB) skills (self-management, innovation, social engagement, cooperation, and emotional resilience) and two key antecedents of proenvironmental behavior, namely nature connectedness and…

The integration of generative artificial intelligence (GAI) into educational settings offers unprecedented opportunities to enhance the efficiency of teaching and the effectiveness of learning, particularly within online platforms. This study evaluates the development and application of a customized GAI-powered teaching assistant, trained…

Strong instructional leadership is the cornerstone of student success. But what truly makes an instructional leader effective, and how can you foster a collaborative environment where teacher teams thrive? In Improving Instruction Together, Steve Ventura draws on years of experience and research-based strategies to demystify the often-challenging…

Currently, digital technology is becoming a leading force driving global education reform. The integration of artificial intelligence and education has brought opportunities for innovation and improvement in education. The level of AI ability of teachers and students determines the level of digitalization and intelligence in the development of…

The rapid adoption of generative artificial intelligence (GenAI) in higher education has raised questions about student use, academic integrity, and institutional regulation. This study examines students' perceptions of and compliance with GenAI regulations in higher education, using a Singaporean university as a case study. Adopting a…

Purpose: Autistic individuals often exhibit poorer emergent literacy skills (e.g., phonological awareness, print knowledge, oral language) relative to their non-autistic peers. Although emergent literacy skills are known to impact future reading success in typical development, their relationship with word recognition and reading comprehension in…

This study examines factors influencing teachers' intention to adopt Generative AI technologies in education by extending the Technology Acceptance Model (TAM). The proposed comprehensive model incorporates both external factors (exposure to AI information, information credibility, and institutional support) and internal factors (intrinsic…

The proliferation of ChatGPT in educational contexts and incorporating such technology into students' academic lives raise intriguing questions. Understanding the factors influencing the intention to adopt this novel technology is necessary for better integration and utilization. This study determined the correlates of intention to use ChatGPT…

Background: Understanding the reading ability of children with intellectual disabilities (ID) can help them improve their communication skill and cognition, but little is known about how home literacy environment (HLE) improves the reading ability of children with ID. The aim of the current study was to explore the mutual predictive relationship…

This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…

Higher education has witnessed a paradigm shift from the rapid rise of generative artificial intelligence (genAI). Basing its name on the television show, Are You Smarter Than a 5th Grader?, this single- class activity was designed to foster media literacy students' understanding of popular genAI tools. To compare and contrast the capabilities of…

The present study investigated the potential of ChatGPT in enhancing the learning outcomes and engagement. Data were gathered from a survey of 687 university personnel and higher education students who utilized ChatGPT for educational purposes. The conceptual framework of the study was validated and analyzed using partial least squares structural…

Purpose: The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes. Design/methodology/approach: In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan. Findings: The…

Artificial intelligence (AI) education empowers teachers to enhance the educational process. Although conventional face-to-face or fully online training methods each have their strengths, they do not fully address challenges such as the rapid pace of AI advancements, differences in teachers' ability to grasp AI knowledge, and the need for flexible…

Background/purpose: Artificial Intelligence (AI) is increasingly shaping assessment practices in higher education, promising faster feedback and reduced instructor workload while also raising concerns about fairness and transparency. This study examines how AI technologies are transforming assessment processes and the experiences of stakeholders.…