Directions for using Generative Artificial Intelligence in Introductory Programming DOI Open Access
M. S. Dolinsky

WSEAS TRANSACTIONS ON COMPUTERS, Journal Year: 2024, Volume and Issue: 23, P. 262 - 269

Published: Dec. 31, 2024

This paper provides a review of the literature on use generative artificial intelligence (GenAI) in introductory programming education at universities. The main areas application are given: specialized narrow-topic developments, integration into online learning platforms and testing solutions, students working with GenAI without restrictions, guiding systems for interaction (without providing solutions), teacher assistance, tools developing intelligent teaching systems. also contains works that analyze results achieved unresolved problems.

Language: Английский

Transforming Teachers’ Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices DOI
Xiaoming Zhaı

Journal of Science Education and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Language: Английский

Citations

13

Exploring human and AI collaboration in inclusive STEM teacher training: A synergistic approach based on self-determination theory DOI
Tingting Li, Zehui Zhan, Yu Ji

et al.

The Internet and Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 101003 - 101003

Published: Feb. 1, 2025

Language: Английский

Citations

0

Evaluating the influence of generative AI on students’ academic performance through the lenses of TPB and TTF using a hybrid SEM-ANN approach DOI
Mostafa Al‐Emran, Mohammed A. Al‐Sharafi, Behzad Foroughi

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Language: Английский

Citations

0

The impact of metacognitive scaffolding on deep learning in a GenAI-supported learning environment DOI
Wu Junqi, Jiatong Wang,

Lei Shuang

et al.

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: March 19, 2025

Language: Английский

Citations

0

Exploring the Potential of Generative AI in Education: Opportunities, Challenges, and Best Practices for Classroom Integration DOI
Jorge Cordero,

Alison Cordero-Castillo

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 252 - 265

Published: Jan. 1, 2025

Language: Английский

Citations

0

How School Support Influences the Content Creation of Pre-Service Teachers’ Instructional Design DOI Creative Commons
Yanlong Liang, Jijian Lu

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 568 - 568

Published: April 23, 2025

In the rapidly evolving educational landscape, understanding how school support influences content creation of pre-service teachers’ instructional design is crucial for fostering effective teaching practices and sustainable professional development. This study aims to explore influence pathways mechanisms through which affects design. A total 871 Chinese teachers were surveyed using an online questionnaire assess support, generative AI technology, self-efficacy, creation. The results indicate that has a significant positive predictive effect on Moreover, technology self-efficacy play chain mediating role between To enhance promote sustainability development, it recommended emphasis be placed application as well enhancement teachers.

Language: Английский

Citations

0

Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes DOI Creative Commons
Santosh Chokkakula,

Siomui Chong,

Bing Xiang Yang

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 28, 2025

ChatGPT, an advanced AI language model, presents a transformative opportunity in several fields including the medical education. This article examines integration of ChatGPT into healthcare learning environments, exploring its potential to revolutionize knowledge acquisition, personalize education, support curriculum development, and enhance clinical reasoning. The AI’s ability swiftly access synthesize information across various specialties offers significant value students professionals alike. It provides rapid answers queries on theories, treatment guidelines, diagnostic methods, potentially accelerating curve. paper emphasizes necessity verifying ChatGPT’s outputs against authoritative sources. A key advantage highlighted is capacity tailor experiences by assessing individual needs, accommodating diverse styles, offering personalized feedback. also considers role shaping curricula assessment techniques, suggesting that educators may need adapt their methods incorporate AI-driven tools. Additionally, it explores how could bolster problem-solving through AI-powered simulations, fostering critical thinking acumen among students. While recognizing stresses importance thoughtful implementation, continuous validation, establishment protocols ensure responsible effective application education settings.

Language: Английский

Citations

0

Can Students Make STEM Progress With the Large Language Models (LLMs)? An Empirical Study of LLMs Integration Within Middle School Science and Engineering Practice DOI Creative Commons
Qing Guo, Junwen Zhen,

Fenglin Wu

et al.

Journal of Educational Computing Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

The rapid development of large language models (LLMs) presented opportunities for the transformation science and STEM education. Research on LLMs was in exploratory phase, characterized by discussions observations rather than empirical investigations. This study a framework incorporating into Science Engineering Practice (SEP), utilizing case submarine construction, followed four-week quasi-experimental validation. research employed conditional cluster sampling, selecting two homogeneous natural classes from middle school China to serve as experimental control groups. key variable inclusion SEP project. Various validated self-developed assessment tools were used measure students’ learning outcomes. Statistical analyses, including pre- post-test paired comparisons within ANCOVA between-class differences, performed evaluate effects LLM integration. results showed that students participating integrated with significantly improved their mastery scientific knowledge, attitudes towards science, perceived usefulness technology, understanding engineering, computational thinking skills, problem-solving abilities. In contrast, traditional exhibited weaker knowledge acquisition, differences engineering concepts, lack skills. pioneering effort integrating education provided reference deeper application future.

Language: Английский

Citations

0

The Impact of Generative AI on Chinese Poetry Instruction DOI Creative Commons

S Wang,

Sandy I Ching Wang, Eric Zhi Feng Liu

et al.

International Journal of Online Pedagogy and Course Design, Journal Year: 2025, Volume and Issue: 15(1), P. 1 - 21

Published: May 7, 2025

This study examines the potential of generative artificial intelligence (AI) to enhance Chinese poetry instruction by investigating its impact on students' learning interest, collaborative perception, and writing abilities. Through AI's text-to-image image-to-poetry translation capabilities, research explores how AI-generated visuals can deepen understanding poetic imagery foster creative expression in writing. Using a mixed-methods approach, analyzes pre-test, mid-test, post-test assessments, student surveys, student-generated evaluate effectiveness this innovative pedagogical approach. The findings contribute growing field educational technology humanities education, offering insights into AI support multimodal learning, linguistic creativity, enrich their sensibilities. By integrating with traditional literary instruction, provides foundation for further role language arts education.

Language: Английский

Citations

0

Innovación educativa con sistemas de aprendizaje adaptativo impulsados por Inteligencia Artificial DOI Creative Commons
Oscar-Yecid Aparicio-Gómez, William-Oswaldo Aparicio-Gómez

Revista Internacional de Pedagogía e Innovación Educativa, Journal Year: 2024, Volume and Issue: 4(2), P. 343 - 363

Published: July 1, 2024

The emergence of artificial intelligence (AI) is transforming education through adaptive learning systems. These systems, based on AI algorithms, personalize the educational experience by adjusting to needs and styles each student. Using techniques such as machine deep learning, they analyze large volumes data generate personalized itineraries, breaking with homogeneous teaching model. Their implementation requires a suitable technological platform, solid infrastructure training teachers in use these tools. benefits are multiple: students receive real-time feedback progress at their own pace, improving motivation effectiveness, while can focus efforts higher value-added tasks obtain valuable information students' progress, facilitating teaching.

Language: Английский

Citations

2