ARTIFICIAL INTELLIGENCE IN EDUCATION: CASES OF USING CHATGPT 3.5 by Дмитро Покришень

“…Examples of text analysis using the generative system ChatGPT 3.5 are provided. The obtained results are analyzed. …”
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How well can GenAI (GPT-4) provide written corrective feedback on English-language learners’ writing? by Austin Pack, K. James Hartshorn, Juan Escalante, Natasha Gillette

“…Providing written corrective feedback (WCF) on English-language learners’ (ELLs) writing is an efficacious, but time-consuming practice in English for Academic Purposes (EAP). Advances in generative artificial intelligence (GenAI), such as large language models (LLMs) may afford EAP language educators time-saving tools for providing WCF. …”
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Can Generative AI and ChatGPT Break Human Supremacy in Mathematics and Reshape Competence in Cognitive-Demanding Problem-Solving Tasks? by Deniz Kaya, Selim Yavuz

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Reproduction of Privilege: The Intersection of Middle and Upper Class Educational Models by Mustafa Sever, Ayşe Soylu

“…This research sets out to explore how educational processes differentiate across social classes. …”
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A Systematic Review on Assessment in Inquiry-Based Science Education by Ayodele Ogegbo, Johnson Enero Upahi, Umesh Ramnarain, Hsin-Kai Wu

“…Furthermore, there appears to be a lack of systematic assessment grouping in inquiry-based science education. This systematic review examines 53 empirical studies published between 1996 and 2022, guided by specific assessment design principles and coded using the existing inquiry-based learning framework to identify and categorize key features of inquiry assessment tasks. …”
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Developing Kindergarten Management System for Supporting the Regional Educational Report by Anita Anita, Sutan Arif Pambudi, Nira Radita, Hilman Nuril Hadi

“… Administrative tasks in early childhood education centers often face challenges when conducted manually, leading to delays in reporting, data inconsistencies, and limited access for parents. …”
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Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era by William Yi Wang, Suyang Zhang, Gaonan Li, Jiaqi Lu, Yong Ren, Xinchao Wang, Xingyu Gao, Yanjing Su, Haifeng Song, Jinshan Li

“…Finally, more duties are called to educate the next generation workforce with creative minds and skills. …”
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Artificial intelligence in computer programming education: A systematic literature review by Pisut Manorat, Suppawong Tuarob, Siripen Pongpaichet

“…The demand for skilled programmers and the increasing complexity of coding skills have led to a rise in the adoption of artificial intelligence (AI) and machine learning (ML) technologies in computer programming education. …”
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Autoethnography in English Language Education and Applied Linguistics: An Integrative Literature Review by Quoc-Khai Tran, Quoc-Hung Tran

“…These data sources were collected, analyzed, and reported in reflections on authors of such autoethnographies concerning a number of aspects, including (1) research context, (2) autoethnographers’ positionality and challenges, (3) justifications of methodological choices, (4) procedure for data generation and analysis, (5) strategies for ethical considerations, and (6) impacts of autoethnographies on educational practices. …”
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Towards a large-language-model-based chatbot system to automatically monitor student goal setting and planning in online learning by Khe Foon Hew, Weijiao Huang, Sikai Wang, Xinyi Luo and Donn Emmanuel Gonda

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NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports by Luis Fernando Morán-Mirabal, Luis Eduardo Güemes-Frese, Mariana Favarony-Avila, Sergio Noé Torres-Rodríguez, Jessica Alejandra Ruiz-Ramirez

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Action and Reaction, Social Response to the Development of an Education Law, the Case of Spain by Abraham Bernárdez-Gómez, María Luisa Belmonte, José María Álvarez Martínez-Iglesias, Martina Ares-Ferreirós

“…Following a thorough inductive analysis, seven distinct codes were identified. These codes yielded a range of statements that collectively emphasised the pivotal role of subsidised education, religious education and special education in shaping the prevailing discourse.…”
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Readability of Hospital Online Patient Education Materials Across Otolaryngology Specialties by Akshay Warrier, Rohan P. Singh, Afash Haleem, Andrew Lee, David Mothy, Aakash Patel, Jean Anderson Eloy, Brian Manzi

“…Otolaryngologists might consider using ChatGPT to generate patient‐friendly materials, with caution, and advocate for national‐level improvements in patient education readability.…”
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Perceived power dynamics in nursing education on students' learning experience in Ghana. by Collins Atta Poku, Veronica Adwoa Agyare, Samuel Baafi, Priscilla Yeye Adumoah Attafuah, Eunice Berchie

“…Thematic analysis was used to generate codes, sub-themes, and themes.<h4>Findings</h4>Two main themes emerged: 1) difficulties faced by students and 2) the perceived impact of power dynamics. …”
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Cognitive Computing with Large Language Models for Student Assessment Feedback by Noorhan Abbas, Eric Atwell

“…This research explores the application of cognitive computing, specifically open-source Large Language Models (LLMs) Mistral-7B and CodeLlama-7B, to streamline feedback generation for student reports containing both Python programming elements and English narrative content. …”
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Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots by Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya

“…Our preliminary evaluation shows that ChatGPT perform differently in different subject areas including finance, coding, maths, and general public queries. While ChatGPT has the ability to help educators by creating instructional content, offering suggestions and acting as an online educator to learners by answering questions, transforming education through smartphones and IoT gadgets, and promoting group work, there are clear drawbacks in its use, such as the possibility of producing inaccurate or false data and circumventing duplicate content (plagiarism) detectors where originality is essential. …”
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Using the information inequity framework to study GenAI equity: analysis of educational perspectives by Sarah Zipf, Chuhao Wu, Tiffany Petricini

“…Data were analyzed using a combination of deductive and inductive coding to identify key themes. The framework of information inequity underscores how disparities in access, skills, and ethical considerations create uneven opportunities for stakeholders to benefit from Generative AI, making these dimensions essential for understanding educational equity. …”
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Future direction of digital textbooks in undergraduate nursing education: A scoping review. by Aeri Jang, Hyunyoung Park, Jeong Eun Moon

“…Thus, DTs in undergraduate nursing education, designed for the digital native generation, should be developed based on interactive intervention-type content that facilitates easy access to personalized information and timely learning. …”
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A comparison of educational events for physicians and nurses in Australia sponsored by opioid manufacturers. by Quinn Grundy, Sasha Mazzarello, Sarah Brennenstuhl, Emily A Karanges

“…We compared event characteristics across three attendee groups: (a) physicians only; (b) at least one nurse in attendance; and (c) nurses only. We coded the unstructured data using iteratively generated keywords for variables related to location, format, and content focus.…”
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L’imaginaire de la Google generation criminelle : les profils Facebook des jeunes de la Camorra by Marcello Ravveduto

“…L’analyse des profils Facebook montre que la sémantique de la violence reste au centre du code symbolique de la mafia. Ou plutôt, le code est renouvelé grâce à la simultanéité, à l’efficacité et à l’exemplarité de l’information, qui transmet un spectre émotionnel complexe au lieu de concepts empathiques trop difficiles à exprimer avec des mots (surtout pour ceux qui ont un faible niveau d’éducation mais une bonne prédisposition aux « métiers » du numérique). …”
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