This study investigates integrating sustainability and urban mining concepts into early childhood education through AI-assisted storytelling and visual aids to foster environmental awareness. Using ChatGPT-generated narratives and AI-drawn visuals, i...
Drawing on Self-Determination Theory (SDT) and the Classroom Assessment Scoring System (CLASS) framework, this study tested a moderated mediation model in which two dimensions of GenAI-assisted teaching predict children’s creative learning enga...
Despite the high potential of artificial intelligence (AI), its actual adoption in recruiting is low. Explanations for this discrepancy are scarce. Hence, this paper presents an exploratory interview study investigating HR professionals’ belief...
Despite reaching intermediate English proficiency, many bilingual secondary students in Colombia struggle with academic writing due to difficulties in organizing ideas and expressing arguments coherently. To address this issue, this study explores th...
The rapid integration of artificial intelligence (AI) technologies into educational contexts has introduced innovative instructional approaches, particularly within Science, Technology, Engineering, and Mathematics (STEM) education. Although an incre...
This research examines the psychological consequences of an AI deployment policy wherein instructors use AI to grade student work while discouraging students from using AI to produce it. Drawing on expectancy-value theory, procedural justice, social...
The accelerated integration of Generative Artificial Intelligence (GenAI) tools such as ChatGPT is transforming learner engagement, instructional design, and institutional governance in education. This systematic literature review synthesizes theory-...
Background/Context: Creating instructional materials that authentically meet the needs of marginalized learner groups such as student veterans, multilingual adult learners, and first-generation doctoral students demands consistent application of Univ...
Despite widespread claims that Generative Artificial Intelligence (GenAI) will transform education, longitudinal empirical evidence on its pedagogical integration remains limited. This study examines how GenAI use shapes teaching and learning practic...
Agentic artificial intelligence (AAI) systems—capable of autonomously executing multi-step instructional tasks with minimal human oversight—are reshaping higher education while exposing the limitations of adoption- and continuance-centred...
As Generative Artificial Intelligence (GenAI) tools become increasingly embedded in higher education, English as a Foreign Language (EFL) teachers are challenged to rethink their pedagogical identities and practices. While policy discourses often pro...
Generative artificial intelligence (GenAI) is increasingly used to design instructional materials in higher education, yet limited evidence exists on students’ perceptions of the cognitive demands and learner-related competencies involved. Draw...
Educational leadership increasingly operates under conditions of uncertainty, ambiguity, and competing demands. The rapid emergence of artificial intelligence (AI) in education intensifies these challenges, requiring school leaders to navigate tensio...
As artificial intelligence (AI) becomes increasingly embedded in schools, workplaces, and everyday digital systems, K-12 computer science education faces a growing question: how should students be taught about AI and prepared to engage with it? AI li...
This paper reports on the pilot implementation of ChakapBot, a generative AI-supported chatbot developed to support both the revitalisation and documentation of Baba Malay, an endangered heritage language in Singapore. A six-week pilot was conducted...
Generative AI tools are increasingly being adopted in education, where they function as collaborators that can provide feedback, suggest alternatives, and scaffold learning. In this paper, I conducted an autoethnographic study by examining my experie...
This study examines how Artificial Intelligence (AI) can enhance Content and Language Integrated Learning (CLIL) through embodied, multimodal instruction in secondary Physical Education (PE). Drawing on Fernández Fontecha’s Content and L...
Artificial intelligence (AI) is increasingly shaping higher education, particularly in the development of academic writing and speaking skills. While AI tools offer immediate feedback and personalized learning opportunities, existing research often f...
Recent shifts in teacher perspectives indicate that generative artificial intelligence (GenAI) has begun to transform long-standing patterns of routine and repetition in educational practice. This study investigates how educators across different edu...
Advances in telecommunications and artificial intelligence (AI) are reshaping modern educational spaces. Drawing upon diverse resources, this systematic literature review examines how these new advances including 5G, Internet of Things (IoT), and AI-...
Understanding learners’ conceptions of artificial intelligence (AI)-supported learning can inform the sustainable integration of AI into education. This study examined primary school students’ conceptions of large language model-based (LL...
This systematic review examines research published between 2021 and 2025 on generative AI and chatbot use in secondary education across nine countries in Southern Europe and the Balkans: Greece, Italy, Spain, Portugal, Malta, Serbia, Croatia, Bulgari...
This systematic literature review examines how artificial intelligence (AI)-integrated tools are being used to scaffold writing instruction for K-12 English as a Foreign Language (EFL) students, with a particular focus on preserving student agency an...
Conversational artificial intelligence can provide individual study support, but the educational significance of its responses depends on how they are examined and used. We develop a conceptual framework comparing Individual Chatbot Interaction and S...
The increasing integration of generative artificial intelligence (AI) into teacher education and pedagogical supervision requires explanatory frameworks capable of clarifying how AI-generated feedback may support professional learning processes. Exis...
Generative artificial intelligence (GenAI) has transformed design education, yet growing evidence suggests that the fluency of AI-generated outputs may create a “fluency illusion”—a metacognitive bias whereby learners conflate polis...
This paper focuses on the development of 3D digital resources and a learning platform for the Engineering Drawing course, exploring construction pathways and implementation methodologies while further investigating the application potential of artifi...
This study investigates the factors influencing Chinese K-12 teachers’ adoption of generative artificial intelligence (GenAI) for instructional purposes by extending the Technology Acceptance Model (TAM) with pedagogical beliefs, perceived inte...
English writing proficiency is pivotal to sustainable academic success and employability. In Chinese higher education, however, conventional instruction often constrains students’ self-regulation and access to individualized feedback. Drawing o...
This study investigates how student teachers engaged with data science and machine learning (ML) through a collaborative, scenario-based project in a graduate-level online course, AI in STEAM Education. The study focuses on the pilot implementation o...
This paper presents an Explainable Artificial Intelligence (XAI) framework for the automated generation of lesson plans aligned with Bloom’s Taxonomy. The proposed system addresses the dual challenges of accurate cognitive classification and pe...
In early childhood initial teacher education, a growing number of mature-aged students with diploma qualifications and years of professional experience are undertaking their early childhood teacher degrees through online modes. Given the national sta...
The rapid integration of artificial intelligence (AI) into higher education is reshaping teaching, learning, and assessment, particularly in programming education. While AI coding assistants can enhance feedback, scaffolding, and student engagement,...
Despite the rapid growth of AI-based digital language learning platforms, prevailing approaches to vocabulary instruction have remained relatively unchanged. Flashcards, translation drills, and isolated quizzes continue to dominate, and while they ma...
In this study, we explore the transformative impact of artificial intelligence (AI) on the job market and argue for the growing importance of critical thinking skills in the face of job automation and changing work dynamics. Advancements in AI have t...
This entry presents a conceptual approach for how artificial intelligence (AI) can be used to support high school and college students’ reading comprehension of complex texts across disciplines, using the Revised Metacognitive Awareness of Read...
This study stems from the need to investigate how GenAI tools, particularly ChatGPT-4o, can support the professional development of mathematics teachers. It explores how Blum’s modeling cycle can serve as a conceptual and operational framework...
Generative artificial intelligence and foundation models have changed machine learning by allowing systems to produce readable text, realistic images, and other multimodal content with little direct input from a user. Foundation models are large neur...
The rapid adoption of generative artificial intelligence tools such as ChatGPT in educational settings has generated both enthusiasm and concern regarding their influence on student learning. While several studies report improvements in efficiency, c...
Open-weight generative large language models (LLMs) can be freely downloaded and modified. Yet, little empirical evidence exists on how these models are systematically altered and redistributed. This study provides a large-scale empirical analysis of...