AI tools like Passive Acoustic Monitoring (PAM) and apps like iNaturalist and Merlin are increasingly used in bird monitoring and species identification. The purpose of this study was to assess whether AI-assisted binoculars improve bird species know...
This study employs a meta-analytic approach to synthesize empirical evidence on the impact of AI-assisted learning on the agency of foreign language learners. The overall synthesis indicates positive associations between AI-assisted learning and mult...
Background: Artificial intelligence (AI) is increasingly used in nursing education, raising questions about students’ reliance on AI-assisted learning and their perceived critical-thinking attributes. Objective: To examine the cross-sectional a...
This study proposes an indicator system for evaluating AI-assisted learning in higher education, combining evidence-based indicator development with expert-validated weighting. First, we review recent studies to extract candidate indicators and organ...
Generative artificial intelligence is increasingly used in higher education to provide explanations, solutions, feedback, and organizational support. Although current debates emphasize academic integrity, productivity, and instructional innovation, l...
This mixed-methods study examines the role of artificial intelligence (AI)-assisted learning in academic writing for Chinese as a Second Language (CSL) students in a Chinese university context. Fifty international CSL students were randomly assigned...
Animal Physiology Laboratory requires students to integrate physiological knowledge, experimental procedures, animal handling, real-time signal interpretation, and post-class reflection. To address the fragmentation of conventional laboratory teachin...
The integration of AI into higher education provides new opportunities for supporting learning in interdisciplinary contexts and fostering entrepreneurial development. However, previous research has mainly focused on AI technology adoption, with limi...
Background: Strabismus diagnosis via the Alternate Cover Test (ACT) lacks quantitative standardization. This study proposes an AI-assisted framework using eye-tracking and machine learning for objective screening. Methods: Gaze coordinates were captu...
In recent decades, the rapid development of artificial intelligence (AI) technology has led to the increasing use of AI speaking apps in foreign language learning. This research investigates the impact of social network-based interaction on students&...
Generative artificial intelligence (GenAI) can support self-regulated learning (SRL), but its pedagogical value depends on whether interaction elicits learner cognition or substitutes for it. This study examined how students’ reported use of Ge...
Nowadays, Python is very popular as the first programming language for novices, including high school students, to learn due to its short code features with rich libraries. Thus, it is important to provide a learning environment supporting studies st...
Promoting learners’ knowledge construction during inquiry-based learning has long been a central concern in the learning sciences. To support learners’ logical reasoning, this study developed an instructional system integrating generative...
With the increasing integration of artificial intelligence into education, traditional instructional models in Hydraulic Engineering are shifting toward competence- and performance-oriented pedagogy under the New Engineering framework. Rooted in cons...
This study introduces the Human-AI Symbiotic Theory (HAIST), designed to guide authentic collaboration between human researchers and artificial intelligence in academic contexts, while pioneering a novel AI-assisted approach to theory validation that...
Generative Artificial Intelligence (AI), particularly large language models, has changed the conditions under which individuals judge their own cognitive performance. While AI-assisted tools can improve task outcomes, such improvements do not necessa...
The rapid integration of Generative Artificial Intelligence (GenAI) technologies into educational environments has generated new opportunities for developing intelligent systems capable of monitoring learner interactions, modeling learning behaviors,...
As artificial intelligence (AI) adoption grows in medical education, AI assistants have become important learning support tools for medical students. However, existing research has primarily focused on learning performance and technology adoption, wh...
The development of artificial intelligence has revolutionized language learning approaches with AI-assisted language applications (AiLAs) like Grammarly, Siri, and ChatGPT 3.5, offering self-paced learning, tailored feedback, and increased engagement...
Informal learning increasingly occurs in digital environments, where citizens access, evaluate and apply knowledge outside of formal education. In the context of disaster preparedness, such informal learning is crucial for promoting individual and co...
In the era of artificial intelligence, higher education is embracing new opportunities for pedagogical innovation. This study investigates the impact of integrating AI into college English teaching, focusing on its role in enhancing students’ c...
Higher education institutions are expected to cultivate graduates capable of addressing sustainability challenges through innovation, collaboration, and digital competence. However, many business programs struggle to integrate experiential authentici...
Intrusion analysis is essential for cybersecurity, but oftentimes, the overwhelming number of false alerts issued by security appliances can prove to be a considerable hurdle. Machine learning algorithms can automate a task known as security alert da...
The rapid proliferation of generative artificial intelligence (GenAI) has reshaped university students’ learning practices, yet the association between GenAI-assisted learning and procrastination remains insufficiently understood. Drawing on th...
Generative artificial intelligence (GAI) is increasingly embedded in higher education, yet how AI literacy relates to AI-assisted innovative behavior in learning (IBL) remains unclear. This cross-sectional study examined whether cognitive and affecti...
With rapid developments of wireless communication and Internet of Things (IoT) technologies, an increasing number of devices and sensors are interconnected, generating massive amounts of data in real time. Among the underlying protocols, Message Queu...
The use of AI-assisted feedback systems has steadily increased in higher education, yet there has been limited research as to which components of expert feedback can be supported by AI and which require continued human judgment. This issue is particu...
There is minimal research concerning the role of custom-trained artificial intelligence (AI) tools in higher education, with a lack of research concerning the pedagogical qualities of an AI-based personal tutor. To fill this literature gap, we examin...
Background: Myasthenia gravis (MG), a chronic autoimmune disorder with variable disease trajectories, presents considerable challenges for clinical stratification and acute care management. This systematic review evaluated machine learning models dev...
Background/Objectives: Artificial intelligence (AI)-enabled digital interventions are increasingly used to expand access to mental health care. This PRISMA-ScR scoping review maps how AI technologies support mental health care across five phases: pre...
Today, relational databases are widely used in information systems. SQL (structured query language) is taught extensively in universities and professional schools across the globe as a programming language for its data management and accesses. Previo...
This paper presents a criteria-governed, human-in-the-loop information system architecture integrating formative AI-assisted learning with preliminary assessment of spoken and written responses. It supports two modes: a retrieval-augmented assistant...
Although artificial intelligence (AI) is reshaping music education, outcome-oriented quantitative syntheses remain relatively limited. This mixed-methods review examined the effects of AI-assisted music learning on learning motivation, self-regulated...
Food contamination by Aflatoxin M1 and Atrazine remains a critical food-safety concern, requiring sensitive detection methods that can operate reliably in complex matrices. Here, we report an AI-assisted antibody-functionalized electrochemical sensin...
Expressive imitation in the performing arts is typically trained through animal behavior imitation, aiming not only to reproduce action trajectories but also to recreate rhythm, style and emotional states. However, evaluation of such animal imitation...
This article formalizes AI-assisted assessment as a discrete-time policy-level design for iterative feedback and evaluates it in a digitally transformed higher-education setting. We integrate an agentic retrieval-augmented generation (RAG) feedback e...
Liquid-phase quartz crystal microbalance (QCM) biosensors are commonly quantified using scalar readouts such as frequency shift, dissipation, or bandwidth. Although useful, these descriptors discard resonance line-shape morphology that carries additi...
Semiconductor wafer fabrication is one of the most complex and demanding processes in industry. The process involves numerous sequential steps, including photolithography, deposition, etching, and chemical–mechanical polishing (CMP). At advance...
Artificial Intelligence (AI) and Virtual Reality (VR) are increasingly integrated into education, yet their combined psychological effects remain underexplored. This paper investigates the potential benefits and risks of AI-powered learning assistant...
The increasing use of generative artificial intelligence (GenAI) in university students’ academic writing is challenging established understandings of authorship, academic integrity, and learning. The study investigated how undergraduates negot...
BOOLE is a four-face educational platform integrating analog, combinational-logic, and sequential-logic activities with optional AI-assisted component identification and datasheet support. The system was developed through requirements translation, ci...
Artificial intelligence is rapidly transforming pediatric craniofacial surgery by enhancing diagnostic accuracy, improving surgical precision, and optimizing postoperative care. Machine learning and deep learning models are increasingly used to analy...
This study examines how generative AI is adopted and experienced across educational levels in Sonora, Mexico, and whether students’ perceived learning aligns with engagement behaviors during AI-assisted homework. We analyze survey data from 202...
Despite the global integration of generative artificial intelligence (GenAI) tools in higher education, limited research exists on how demographic factors such as gender and academic level shape their adoption and usage, particularly in language lear...
Generative artificial intelligence (AI) can improve students’ work while assistance is available, but better AI-assisted performance does not necessarily show what students have learned or can do independently. The methodological gap is that ou...
Emerging technologies provide promising opportunities to improve learning in construction and engineering education. In the current study, the interaction between students and AI-enhanced educational podcasts in undergraduate and postgraduate modules...
Generative artificial intelligence (GenAI) can support engineering problem solving, but whether AI-assisted practice transfers to independent performance after the tool is removed remains unclear. This multicentre controlled trial evaluated a traceab...
Generative artificial intelligence (GenAI) is increasingly used as a cognitive aid in education, yet no single process measure captures how learners monitor and control GenAI-assisted work. Guided by a reciprocal monitoring-control account of metacog...
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...
This paper introduces a novel methodology that integrates 6G wireless Federated Edge Learning (FEEL) frameworks with MAC to PHY cross layer optimization strategies. In the context of mobile edge computing, typically ensuring robust channel estimation...
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