Embedding Generative AI as a digital capability into a year-long MSc skills program DOI Creative Commons
David P. Smith,

Dami Sokoya,

Skye Moore

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Окт. 8, 2024

Abstract The arrival of Generative Artificial Intelligence (GenAI) into higher education has brought about significant transformations in assessment practices and pedagogical approaches. Large Language Models (LLMs) powered by GenAI present unprecedented opportunities for personalised learning journeys. However, the emergence raises concerns regarding academic integrity development essential cognitive creative skills among students. Critics worry potential decline standards perpetuation biases inherent training sets used LLMs. Addressing these requires clear frameworks continual evaluation updating to leverage GenAI's capabilities while preserving integrity. Here, we evaluated integration a year-long MSc program enhance student understanding confidence using GenAI. Approaching as digital competency, its use was integrated core modules across two semesters, focusing on ethical considerations, prompt engineering, tool usage. tasks were redesigned incorporate GenAI, which takes process-based approach. Students' perceptions alongside audits, they reported increased Thematic analysis one-to-one interviews revealed cyclical relationship between students' usage experience, adaptation.

Язык: Английский

The impact of generative AI on school music education: Challenges and recommendations DOI Creative Commons
Lee Cheng

Arts Education Policy Review, Год журнала: 2025, Номер unknown, С. 1 - 8

Опубликована: Янв. 10, 2025

The widespread application of generative artificial intelligence (AI) poses both opportunities and challenges in formal music education. Students can now effortlessly compose using simple text prompts with AI generators, a situation which encourages innovative pedagogical approaches democratizes creativity the classroom. However, concerns about cultural bias, originality, equity, ethical use school education require careful regulation. This article highlights potential benefits risks through review current applications education, process proposing set policy recommendations that serve to ethically effectively guide its use. These include enhancing literacy among students teachers, developing assessment frameworks reflect collaborative nature AI-assisted creation, defining acceptable boundaries terms ensuring equitable access tools, providing professional development for teachers. By maintaining an awareness technological advancements their impact on students' musical engagement, remain relevant young people's evolving experiences while simultaneously preparing them engage confidently, creatively, critically complex landscape AI.

Язык: Английский

Процитировано

0
What drives Chinese university students’ long-term use of GenAI? Evidence from the heuristic-systematic model DOI
Yin Liu, Z H Zhang, Yingkai Wu

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

0
Enhancing the Emotional Aspects of Language Education through Generative Artificial Intelligence (GenAI): A Qualitative Investigation DOI Creative Commons
Lucas Kohnke, Benjamin Luke Moorhouse

Computers in Human Behavior, Год журнала: 2025, Номер unknown, С. 108600 - 108600

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Pre-service Language Teachers’ Task-specific Large Language Model Prompting Practices DOI
Benjamin Luke Moorhouse, Tsz Ying Ho, Chenze Wu

и другие.

RELC Journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 16, 2025

Since the emergence of ChatGPT, a type large language model (LLM), there has been interest in how these tools can support teachers’ professional practices and assist them with tasks, e.g., lesson planning. The current study explored pre-service teachers interacted LLMs to improving plans, knowledge skills involved task-specific prompting practices. Data was collected from 25 enrolled Master Education English Language Teaching program at Hong Kong university. Analysis performed on their submitted assignments, which included revised plan, typed pedagogical rationale for modifications, logs interactions reflections use LLMs. findings revealed three-stage decision-making process among when interacting AI improve plans. These were task identification, iterative prompting, implementation. Our also suggested that engage effectively they need content knowledge, skills. This implications teacher development enhancing prompt effective accomplishing tasks.

Язык: Английский

Процитировано

0
Transforming Civic Education With ChatGPT to Boost Student Interaction and Social learning in the GenAI Era DOI

Ahmad M. Al Yakin,

Abdur Rasyid, Ali Said Al-Matari

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 305 - 332

Опубликована: Янв. 10, 2025

To increase social interaction and encourage independent learning in Pancasila citizenship education classes, this project investigates the use of ChatGPT as a new teaching tool. The main goal is to test how well encourages student participation group work different classroom environments. By offering empirical evidence efficacy tool, research adds growing body literature on AI education. We have highlighted importance facilitating interactions self-directed learning, which essential for growth analytical communicative abilities. Educators lawmakers can research's practical insights incorporate tools into school courses improve engagement outcomes. better equip their students face problems digital age, instructors should participate ongoing professional development opportunities learn classroom.

Язык: Английский

Процитировано

0
U.S. College Students’ Acceptability and Educational Benefits of ChatGPT from a Digital Divide Perspective (CAEAI-D-24-00352R2) DOI Creative Commons
Xinyi Zhang, Laurent H. Wang, Ronald E. Rice

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100385 - 100385

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
ChatGPT for Science Lesson Planning: An Exploratory Study Based on Pedagogical Content Knowledge DOI Creative Commons
Γιώργος Πέικος, Dimitris Stavrou

Education Sciences, Год журнала: 2025, Номер 15(3), С. 338 - 338

Опубликована: Март 10, 2025

Contemporary education is evolving in a landscape shaped by technological advancements, with generative artificial intelligence (AI) gaining significant attention from educators and researchers. ChatGPT, particular, has been recognized for its potential to revolutionize teachers’ tasks, such as lesson planning. However, effectiveness designing science plans aligned the research-based recommendations of Science Education literature remains infancy. This exploratory study seeks address this gap examining ChatGPT-assisted planning primary schools through lens sound theoretical framework Education: pedagogical content knowledge (PCK). Guided question, “What are characteristics created ChatGPT terms PCK?”, we designed four interactions ChatGPT-4o using carefully constructed prompts informed specific PCK aspects prompt engineering strategies. Using qualitative analysis, analyzed data these interactions. Findings indicate that incorporating elements into prompts, layer prompting strategies, providing reference texts might enhance quality AI-generated plans. challenges were identified. concludes guidelines teacher–ChatGPT co-design based on PCK.

Язык: Английский

Процитировано

0
Huber-Ferber, Maria: KI und Unterricht. Strategien für Dozenten und Lehrer für effektive Online- und Offline-Schulungen. Berlin: epuli, 2023. – ISBN 978-3-7575-7065-1. 208 Seiten, € 28,99. DOI

Meike Adams

Informationen Deutsch als Fremdsprache, Год журнала: 2025, Номер 52(2-3), С. 302 - 304

Опубликована: Апрель 1, 2025

Процитировано

0
The impact of ChatGPT on nursing education: A qualitative study based on the experiences of faculty members DOI
Selma Durmuş Sarıkahya, Özkan Özbay, Kemal Torpuş

и другие.

Nurse Education Today, Год журнала: 2025, Номер 152, С. 106755 - 106755

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

0
Generative AI as a Cultural Phenomenon in the Digital Transformation of Education DOI
Ilya Levin,

Konstantin Minyar-Beloruchev,

Michal Marom

и другие.

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 714 - 731

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0