Innovations in Introductory Programming Education: The Role of AI with Google Colab and Gemini DOI Creative Commons
Joe Llerena-Izquierdo, Johan Méndez Reyes, Raquel Ayala Carabajo

et al.

Education Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 1330 - 1330

Published: Dec. 4, 2024

This study explores the impact of artificial intelligence on teaching programming, focusing GenAI Gemini tool in Google Colab. It evaluates how this technology influences comprehension fundamental concepts, processes, and effective practices. In research, students’ motivation, interest, satisfaction are determined, as well fulfillment surpassing their learning expectations. With a quantitative approach quasi-experimental design, an investigation was carried out seven programming groups polytechnic university Guayaquil, Ecuador. The results reveal that use significantly increases interest with 91% respondents expressing increased enthusiasm. addition, 90% feel integration meets expectations, it has exceeded those expectations terms educational support. evidences value integrating advanced technologies into education, suggesting can transform programming. However, successful implementation depends timely training educators, ethics for students, ongoing technology, curriculum design maximizes capabilities GenAI.

Language: Английский

Large language models in patient education: a scoping review of applications in medicine DOI Creative Commons
Serhat Aydın, Mert Karabacak,

Victoria Vlachos

et al.

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: Oct. 29, 2024

Large Language Models (LLMs) are sophisticated algorithms that analyze and generate vast amounts of textual data, mimicking human communication. Notable LLMs include GPT-4o by Open AI, Claude 3.5 Sonnet Anthropic, Gemini Google. This scoping review aims to synthesize the current applications potential uses in patient education engagement.

Language: Английский

Citations

7
Through ChatGPT’s Eyes: The Large Language Model’s Stereotypes and what They Reveal About Healthcare DOI
A. Meyer, Wolfgang A. Wetsch, Andrea U. Steinbicker

et al.

Journal of Medical Systems, Journal Year: 2025, Volume and Issue: 49(1)

Published: Feb. 5, 2025

Language: Английский

Citations

0
Lights and shadows of artificial intelligence in laboratory medicine DOI Creative Commons
Giuseppe Lippi, Mario Plebani

Advances in Laboratory Medicine / Avances en Medicina de Laboratorio, Journal Year: 2025, Volume and Issue: 6(1), P. 1 - 3

Published: Feb. 24, 2025

Language: Английский

Citations

0
Luces y sombras de la inteligencia artificial en la medicina de laboratorio DOI Creative Commons
Giuseppe Lippi, Mario Plebani

Advances in Laboratory Medicine / Avances en Medicina de Laboratorio, Journal Year: 2025, Volume and Issue: 6(1), P. 4 - 6

Published: March 1, 2025

Citations

0
Comparing Large Language Models for antibiotic prescribing in different clinical scenarios: which perform better? DOI Creative Commons
Andrea De Vito, Nicholas Geremia, Davide Fiore Bavaro

et al.

Clinical Microbiology and Infection, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Can interactive artificial intelligence be used for patient explanations of nuclear medicine examinations in Japanese? DOI
Norikazu Matsutomo,

Mitsuha Fukami,

Tomoaki Yamamoto

et al.

Annals of Nuclear Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Language: Английский

Citations

0
Generative artificial intelligence (AI) for reporting the performance of laboratory biomarkers: not ready for prime time DOI
Laura Pighi, Davide Negrini, Giuseppe Lippi

et al.

Clinical Chemistry and Laboratory Medicine (CCLM), Journal Year: 2024, Volume and Issue: unknown

Published: July 30, 2024

Language: Английский

Citations

1
Innovations in Introductory Programming Education: The Role of AI with Google Colab and Gemini DOI Creative Commons
Joe Llerena-Izquierdo, Johan Méndez Reyes, Raquel Ayala Carabajo

et al.

Education Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 1330 - 1330

Published: Dec. 4, 2024

This study explores the impact of artificial intelligence on teaching programming, focusing GenAI Gemini tool in Google Colab. It evaluates how this technology influences comprehension fundamental concepts, processes, and effective practices. In research, students’ motivation, interest, satisfaction are determined, as well fulfillment surpassing their learning expectations. With a quantitative approach quasi-experimental design, an investigation was carried out seven programming groups polytechnic university Guayaquil, Ecuador. The results reveal that use significantly increases interest with 91% respondents expressing increased enthusiasm. addition, 90% feel integration meets expectations, it has exceeded those expectations terms educational support. evidences value integrating advanced technologies into education, suggesting can transform programming. However, successful implementation depends timely training educators, ethics for students, ongoing technology, curriculum design maximizes capabilities GenAI.

Language: Английский

Citations

0