The ARTificial revolution. Introducing generative artificial intelligence tools into artistic education by Andrés Torres-Carceller

“… This article presents an experience of integrating generative artificial intelligence (AI) technologies in artistic education in the Primary School Teaching degree course. …”
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CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes by E. G. Makeichik, A. I. Korolev, V. K. Kanapelka

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AN EFFICIENT SPEECH GENERATIVE MODEL BASED ON DETERMINISTIC/STOCHASTIC SEPARATION OF SPECTRAL ENVELOPES by M. Taha, E. S. Azarov, D. S. Likhachov, A. A. Petrovsky

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From Code to Ratings: Converting Programming Data to Enhance Collaborative Filtering in Educational Online Judge Systems by Daniel M. Muepu, Yutaka Watanobe

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Product Ideation in the Age of Artificial Intelligence: Insights on Design Process Through Shape Coding Social Robots by Chakraborty Shujoy, Loyens Dirk, Aston Jeremy

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Exploring Religiosity among the Educated Generation of the 70s in Yazd City: A Qualitative Study by Ahmad Kalateh Sadati, Asal Razavi

“…The researchers transcribed the interviews, identified key concepts, and generated initial codes. These codes were linked to develop sub-themes, which were then refined into main themes. …”
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Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines by Nora McDonald, Aditya Johri, Areej Ali, Aayushi Hingle Collier

“…The release of ChatGPT in November 2022 prompted a massive uptake of generative artificial intelligence (GenAI) across higher education institutions (HEIs). …”
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THE INVOLVEMENTOF YOUNG GENERATION IN RES INDUSTRY by Camelia CIOBANU, Alina BARBU, Gheorghe SAMOILESCU

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DESIGNING A PRAGMATIC MODEL TO INTELLIGENCE THE IRANIAN HIGHER EDUCATION WITH FIFTH GENERATION UNIVERSITY TECHNOLOGY by zahra Badali, zahra Taleb, Esmat Masoudi Nadoshan

“…The purpose of the present research is designing a pragmatic model to intelligence the Iranian higher education with fifth generation university technology. …”
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Evaluating and Securing Text-Based Java Code through Static Code Analysis by Jeong Yang, Young Lee, Amanda Fernandez, Joshua Sanchez

“…As the cyber security landscape dynamically evolves and security professionals work to keep apace, modern-day educators face the issue of equipping a new generation for this dynamic landscape. …”
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Generative AI in Higher Education Constituent Relationship Management (CRM): Opportunities, Challenges, and Implementation Strategies by Carrie Marcinkevage, Akhil Kumar

“…This research explores opportunities for generative artificial intelligence (GenAI) in higher education constituent (customer) relationship management (CRM) to address the industry’s need for digital transformation driven by demographic shifts, economic challenges, and technological advancements. …”
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Enhancing smart contract security using a code representation and GAN based methodology by Dileep Kumar Murala, Samia Loucif, K. Vara Prasada Rao, Habib Hamam

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Strategic Resource Management in Islamic Boarding Schools: The Role of Income-Generating Units in Supporting Educational Goals by Dedy Achmad Kurniady, Nugraha Suharto, Suryadi Suryadi, Zaini Hafidh, Riyaldi Dithia Permana

“…This study explores the role of Income-Generating Units (IGUs) in promoting the economic independence of Islamic boarding schools. …”
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Perceived impact of generative AI on assessments: Comparing educator and student perspectives in Australia, Cyprus, and the United States by René F. Kizilcec, Elaine Huber, Elena C. Papanastasiou, Andrew Cram, Christos A. Makridis, Adele Smolansky, Sandris Zeivots, Corina Raduescu

“…Across three universities, 680 students and 87 educators, who moderately use generative AI, consider essay and coding assessments to be most impacted. …”
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Does generative AI help in learning programming: Students’ perceptions, reported use and relation to performance by Marina Lepp, Joosep Kaimre

“…In 2022, the release of ChatGPT marked a significant advancement in the use of Artificial Intelligence (AI) chatbots, particularly impacting fields like computer science and education. The ability to generate code snippets using AI chatbots has introduced new opportunities and challenges in teaching programming. …”
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The educational effects of telemedicine training using role‐playing for general practice/family medicine residents: A qualitative study by Koki Nakamura, Tomoo Hidaka, Yoshihiro Toyoda, Mei Endo, Satoshi Kanke

“…The identified codes were inductively summarized, and nine categories were generated: verbal cues to enhance the quality of history taking, nonverbal communication to connect with patients, addressing risks inherent in the convenience of telemedicine, co‐creating a clinical environment with patients, anticipating issues different from those encountered in face‐to‐face consultation rooms, considering and supporting the elderly and those who are digitally disadvantaged, improving access restrictions due to busyness and resistance to telemedicine, understanding the living environment in connection with patient families and home care nurses, and awareness of the wide‐ranging applications of telemedicine. …”
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Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot by Anna Y. Q. Huang, Chien-Chang Lin, Sheng-Yi Su, Ruo-Xuan Yen and Stephen J. H. Yang

“…With the ongoing surge in the application of artificial intelligence in education, this study introduces a chatbot with generative artificial intelligence (GenAI) to assist students in reviewing Python programming concepts by refining the summary after class. …”
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Analysis of Concrete Air Voids: Comparing OpenAI-Generated Python Code with MATLAB Scripts and Enhancing 2D Image Processing Using 3D CT Scan Data by Iman Asadi, Andrei Shpak, Stefan Jacobsen

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Exploring the use of retrieval-augmented generation models in higher education: A pilot study on artificial intelligence-based tutoring by Renáta Németh, Annamária Tátrai, Miklós Szabó, Péter Tibor Zaletnyik, Árpád Tamási

“…The advantage of retrieval-augmented generation in higher education is that lecturers can take control of the underlying literature used by the large language model. …”
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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

“…This study leverages EDM within a Moroccan university (Hassan First, University Settat, Morocco) context to augment educational quality and improve learning. We introduce a novel “Hybrid approach” that synthesizes students’ historical academic records and their in-class behavioral data, provided by instructors, to predict student performance in initial coding courses. …”
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