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Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespo...

The integration of artificial intelligence (AI) to assess English writing has become prevalent in higher education, though empirical research on its efficacy has yielded inconsistent results. To clarify this variability ...

Cybersecurity education often struggles to engage learners while effectively conveying complex web vulnerabilities. This challenge is particularly evident in topics such as cross-site scripting (XSS), where understanding...

The accurate ascertainment of injury epidemiology within a target population is the first step in sports injury prevention. However, in regional collegiate American football leagues in Japan, collected surveillance data ...

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

Research in written feedback (WF) engagement has proliferated in the recent decade. However, most studies are centred around learners’ engagement on the feedback, rather than with feedback. Learners’ psychological at...

Abstract Monitoring actions and outcomes is essential for flexible adaptation to environmental demands. Information about errors is important regardless of whether it is internally generated or externally signaled. Follo...

Abstract Given the increased autonomy and limited direct instructor presence in online learning settings necessitating advanced self-regulated learning skills (SRLs), many online students face significant learning diffic...

Abstract The current English grammar error correction model still has low accuracy when dealing with complex sentences and long sentence dependencies. Therefore, this study proposes a Sequence-to-Sequence (Seq2Seq) model...

Abstract This study seeks to address persistent challenges in traditional music education, particularly the subjectivity inherent in assessment criteria and the frequent delays in feedback, by harnessing the capabilities...

This mixed-methods study examined feedback literacy in English-as-a-foreign-language (EFL) reading among Chinese non-English-major undergraduates. Drawing on Carless and Boud’s four-dimensional framework, the study inv...

Abstract Electroencephalographic neurofeedback (EEG-NF) has been proposed as a promising technique to modulate brain activity through real-time EEG-based feedback. Alpha neurofeedback in particular is believed to induce ...

This paper proposes a high-frequency wireless power transfer (WPT) system. This system achieves zero-voltage switching (ZVS) and the constant current (CC) and constant voltage (CV) outputs regardless of load variations a...

Abstract This study explores the use of an upper-limb wearable exoskeleton for teaching violin technique to novices through haptic-assisted training. The educational potential of this technology was evaluated using a fra...

IntroductionWhile video feedback (VF) parenting programs are well-evidenced for improving maternal sensitivity and mental health, how well they translate to remote virtual (online) delivery has been little researched. Th...

PARN regulates poly(A) lengths of pri-miR-29a and pri-miR-1207, which in turn target PARN mRNA. CPSF6 recruits PARN to pri-miRNAs, modulating miRNA levels and cell migration, revealing a dynamic mutual feedback between P...

Abstract Top-down trophic interactions are major drivers of microbiome dynamics, yet their outcomes are difficult to predict and their consequences for pathogen control remain unclear. We combine synthetic bacterial comm...

Abstract Background This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‑tim...

Abstract Introduction A substantial proportion of patients with bipolar disorder experience daily variability in mood that seems associated with poor prognostic factors, including impaired functioning, and increased risk...

BackgroundAutistic children experience enduring difficulties with emotion regulation and daily participation. Emotion-oriented play-learning tools (EPLTs, sensory play-learning tools for supporting emotion and self-regul...

Continuous monitoring of student understanding is crucial because the nature of complex redox reaction materials is one of the primary causes of suboptimal student achievement. This research aims to enhance student learn...

University physical education (PE) is increasingly expected to foster physical literacy by integrating movement competence with cognitive understanding and intrinsic motivation. However, rigorous evidence regarding the e...