Knowledge and perception of artificial lntelligence education among undergraduate healthcare students by Mohammed M. Alsultan, Mohamed A. Baraka, Leena H. Alhajri, Luluah Althayf, Nujud Omar, Faten Alhomoud, Farah Kais Alhomoud, Ahmad Alsultan, Yousef Saeed Alqarni, Fahad T. Alsulami, Feras A. Al-Awad

“…This study investigated the knowledge and perceptions of AI education among undergraduate healthcare students. …”
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DEVELOPMENT OF AN EDUCATIONAL CHATBOT WITH A CONTEXTUAL INTENT SYSTEM ON THE DIALOGFLOW PLATFORM by Oksana Ivashchenko, Stanislav Filip, Bohdan Ratushnyi

“…The final implementation achieved a high accuracy rate (~91%) and low error percentage (~3%), demonstrating the feasibility of using Dialogflow for educational automation scenarios. …”
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Active Disturbance Rejection Control of Output Voltage of Solid Oxide Fuel Cell Based on Reinforcement Learning by GUAN Chaojun, LEI Zhengling, HUO Haibo, WANG Fang, YAO Guoquan, LIU Tao

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Application and optimization of BP prediction model driven by internet of things in tourism education by Qi Lv

“…Moreover, the model demonstrates superior performance in mean squared error, achieving errors of 0.063 for textual data, 0.059 for numerical data, and 0.067 for categorical data, consistently surpassing the baseline models across all metrics. …”
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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

“…Experimental results demonstrate that the proposed method achieves a 4.6 % error rate in note recognition and a 63.4 % intonation correctness rate, outperforming traditional models in personalized music education.…”
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Examining Spelling Challenges in English: A Study of Omani Students in Vocational Education by Pankaj B. Vaishnav

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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

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A Transformation of the Way of Thinking: Key Principles in Programming Education Inspired by Pascal by Valentina Dagienė, Gintautas Grigas, Tatjana Jevsikova

“…These include assessing program text readability, cultivating programming style, program reading tasks, creative thinking tasks, problem-solving approaches, detailed compiler error messages, automatic error fixing, and compiler advice to novice programmers. …”
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Matrix Approach for Modeling the Interrelationships of Business Processes and Organizational Structure of an Educational Institution by E. A. Bushchyk, N. I. Listopad

“…The obtained model, consisting of three matrices, allows for accounting and analysis of organizational elements of the educational institution structure for  errors, assessment of completeness and cohesion of interaction between structures in order to their further optimization and  automation.…”
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Mining autonomous student patterns score on LMS within online higher education by Ricardo Ordoñez-Avila, Jaime Meza, Sebastian Ventura

“…Higher education institutions actively integrate information and communication technologies through learning management systems (LMS), which are crucial for online education. …”
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The Nurse Practitioners’ Perspective on Inhaler Education in Asthma and Chronic Obstructive Pulmonary Disease by Jane Scullion

“…Effective treatments are available, but common errors in the use of inhalers compound the issue of disease control. …”
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Potential applications and challenges of generative artificial intelligence in traditional Chinese medicine education by LI Zhiqiang, WANG Xuefeng, CAO Feng, WANG Yanding, FEI Yutong, LIU Jianping

“…It is worth exploring whether GenAI can be applied to TCM education to complement and enhance its educational development, and how to address concerns regarding errors, biases, and privacy during the practical application of GenAI in education. …”
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ChatGPT in Education: Challenges in Local Knowledge Representation of Romanian History and Geography by Alexandra Ioanid, Nistor Andrei

“…The integration of AI tools like ChatGPT in education has sparked debates on their benefits and limitations, particularly in subjects requiring region-specific knowledge. …”
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Revisiting generalizability theory in the age of artificial intelligence: Implications for empirical educational research by Peer-Benedikt Degen

“…This paper revisits Generalizability Theory (G-Theory) as a robust framework to assess the reliability and fairness of AI-driven tools across diverse educational contexts. It is argued that G-Theory’s variance decomposition logic is uniquely suited to disentangle the multifaceted sources of error introduced by evolving AI systems, user diversity, and complex learning environments. …”
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ChatGPT in ESL Higher Education: Enhancing Writing, Engagement, and Learning Outcomes by Promethi Das Deep, Nara Martirosyan, Nitu Ghosh, Md. Shiblur Rahaman

“…There were, however, concerns about plagiarism, factual errors, and dependency on AI tools. Although ChatGPT and similar models present promising opportunities and benefits in ESL education, there is a need for structured implementation and ethical guidance.…”
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Hybrid Teacher Training in Arduino-based Science Education across Different Modalities by Lia Laela Sarah, Greg Shaw, Andi Suhandi, Ida Kaniawati, Mubiar Agustin

“…In science education, educators frequently encounter the challenges of inadequate resources, equipment, and pedagogical strategies when planning and executing science projects in classrooms. …”
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A GPT-Based Code Review System With Accurate Feedback for Programming Education by Dong-Kyu Lee, Inwhee Joe

“…The increasing demand for programming education and growing class sizes require immediate and personalized feedback. …”
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Personalized learning effect evaluation model for vocational education with cloud computing technology by Xiangyu Wang, Kang Cao

“…The experiment outcomes indicate that the model's mean square error is 3.3883e*10–12, its fitness value is 1.36, and its average accuracy is 98.35 %.…”
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Performance prediction using educational data mining techniques: a comparative study by Yaosheng Lou, Kimberly F. Colvin

“…The results indicated that generalized linear regression consistently outperformed decision tree and random forest regression in terms of both predictive accuracy and error. Additionally, this study examined the capacity of these methods to identify important predictors. …”
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Islamic Education Teachers’ Adaptation in Digital Learning during the Covid-19 Pandemic by Sarah Aisha, Ahmad Zuhdi Firdaus, Deddy Mulyana

“…The findings revealed that teachers went through five overlapping stages: confusion, trial and error, capacity building, adaptation, and efforts to find new solutions. …”
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