TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition DOI Creative Commons
Humberto Marín-Vega, Giner Alor‐Hernández, Maritza Bustos-López

et al.

Future Internet, Journal Year: 2024, Volume and Issue: 16(12), P. 440 - 440

Published: Nov. 25, 2024

Serious games play a significant role in the teaching and learning process by focusing on educational objectives rather than purely entertainment. By addressing specific needs, these provide targeted experiences. The integration of emotion recognition technology into serious can further enhance identifying areas where students may need additional support, game facilitates mathematics allowing identification emotional impact creation tailored experience for student. This study proposes challenge-based task-based math that integrates facial named TasksZE. TasksZE introduces novel approach adjusting gameplay based detected emotions, which includes real-time analysis cross-validation emotions. We conducted usability evaluation using System Usability Scale (SUS) as reference, results indicate feel is easy to use, functions are well integrated, most people learn use it very quickly. answered they would this system frequently since felt motivated attributes, rewards, level progression. These elements contributed more engaging effective experience.

Language: Английский

Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study DOI Creative Commons
Noura Abouammoh, Khalid Alhasan, Fadi Aljamaan

et al.

JMIR Medical Education, Journal Year: 2025, Volume and Issue: 11, P. e63400 - e63400

Published: Feb. 20, 2025

Background With the rapid development of artificial intelligence technologies, there is a growing interest in potential use intelligence–based tools like ChatGPT medical education. However, limited research on initial perceptions and experiences faculty students with ChatGPT, particularly Saudi Arabia. Objective This study aimed to explore earliest knowledge, perceived benefits, concerns, limitations using education among at leading Arabian university. Methods A qualitative exploratory was conducted April 2023, involving focused meetings varying levels experience. thematic analysis used identify key themes subthemes emerging from discussions. Results Participants demonstrated good knowledge its functions. The main were use, concerns about benefits included collecting summarizing information saving time effort. centered around lack critical thinking provided, ambiguity references, access, trust output ethical concerns. Conclusions provides valuable insights into regarding newly introduced large language models While recognized, participants also expressed requiring further studies for effective integration education, exploring impact learning outcomes, student satisfaction, skills.

Language: Английский

Citations

4
OpenAI o1-Preview vs. ChatGPT in Healthcare: A New Frontier in Medical AI Reasoning DOI Open Access

Mohamad-Hani Temsah,

Amr Jamal, Khalid Alhasan

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

This editorial explores the recent advancements in generative artificial intelligence with newly-released OpenAI o1-Preview, comparing its capabilities to traditional ChatGPT (GPT-4) model, particularly context of healthcare. While has shown many applications for general medical advice and patient interactions, o1-Preview introduces new features advanced reasoning skills using a

Language: Английский

Citations

14
Exploring Attitudes toward ChatGPT among College Students: An Empirical Analysis of Cognitive, Affective, and Behavioral Components Using Path Analysis DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, Carmen Graciela Arbulú Pérez Várgas, Olger Huamaní Jordan

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100320 - 100320

Published: Oct. 1, 2024

Language: Английский

Citations

10
Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah DOI Creative Commons

Muhammad Syahriandi Adhantoro,

Dedi Gunawan, Harun Joko Prayitno

et al.

Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 8

Published: Feb. 4, 2025

This study examines the effectiveness of ChatMu application in improving access to information for members Muhammadiyah, a prominent socio-religious organization. The research employs mixed-methods approach, combining qualitative and quantitative analyses evaluate application’s performance, usability, user satisfaction. Findings reveal that significantly enhances accessibility accuracy Muhammadiyah-related information, highlighting its potential as an innovative tool addressing community-specific needs. However, several usability challenges were identified, including navigation inefficiencies inconsistencies content delivery. These limitations suggest need further refinement optimize experience functionality. Despite these issues, demonstrates strong capabilities providing relevant reliable fostering digital literacy, supporting dissemination within Muhammadiyah community. concludes represents promising chatbot technology empowering communities through improved knowledge. Future development efforts should focus on comprehensive testing, maintaining relevance, incorporating advanced interactive features enhance engagement. With continuous improvements, has become effective medium advancing literacy knowledge-sharing

Language: Английский

Citations

0
Public knowledge of food poisoning, risk perception and food safety practices in Saudi Arabia: A cross-sectional survey following foodborne botulism outbreak DOI Creative Commons
Abdullah Alhuzaimi, Fadi Aljamaan,

Fatema H. AL-Ajwad

et al.

Medicine, Journal Year: 2025, Volume and Issue: 104(15), P. e41593 - e41593

Published: April 11, 2025

To investigate food poisoning knowledge, risk perception and safe handling practices among Saudi Arabian public following foodborne botulism outbreak. A cross-sectional survey targeting the between May 6 to 20, 2024, first Infectious disease health experts developed questions according Public Health Authority Ministry of (MOH) guidelines, distributed surveys through social media. Of 3779 participants, 73.1% were female 50.1% aged 18 24 years. Almost one-third (30.2%) reported a previous experience, with an incidence 71.7 cases per 1000 person The most common perceived source FP was restaurants foods (80.3%). overall knowledge score participants regarding 3.42 ± 1.57 out 7. mean safety practice 3.70 1.42 9. Multivariable regression analysis showed individuals 35 years or older (β = 0.205, P < .001), those who married 0.204, .003), (FP) experience 0.089, .009), relied on information from medical publications ( .001) exhibited significantly higher scores than other groups. least adherence noted following: routine use thermometer during cooking (2.7%), avoidance washing raw chicken (13.7%) hands after using cellphone (26.1%). did not correlate .065). This study highlights significant gaps inadequate in Arabia. Although certain groups, including adults (>35 years), individuals, greater practices, specific preventive measures remained generally low. These findings highlight need for targeted educational initiatives interventions improve awareness across diverse demographic groups integration generative AI tools, such as ChatGPT, resource information, presents new opportunity, but it requires further research development ensure accuracy reliability.

Language: Английский

Citations

0
Registered Nurses' Attitudes Towards ChatGPT and Self‐Directed Learning: A Cross‐Sectional Study DOI
Li‐Chun Chang, Yani Wang, Hui‐Ling Lin

et al.

Journal of Advanced Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 9, 2024

ABSTRACT Background Self‐directed, lifelong learning is essential for nurses' competence in complex healthcare environments, which are characterised by rapid advancements medicine and technology nursing shortages. Previous studies have demonstrated that ChatGPT fosters self‐directed motivating users to engage with it. Objectives To explore the relationships amongst socio‐demographic data, attitudes towards use, registered nurses Taiwan. Methods A cross‐sectional study design an online survey was adopted. Registered from various settings were recruited through Facebook LINE, a widely used messaging application East Asia, reaching over 1000 across five distinct groups. An collect including characteristics, scale. Data analysed using descriptive statistical methods, t ‐tests, Pearson's correlation, one‐way analysis of variance, multiple linear regression analysis. Results Amongst 330 participants, 50.6% worked hospitals, 51.8% had more than 15 years work experience, 78.2% did not hold supervisory positions. Of 46.7% ChatGPT. For all nurses, experience awareness statistically significantly predicted learning, explaining 32.0% variance. those familiar ChatGPT, technological/social influence 35.3% Conclusions Work provides critical opportunities professional development training. Therefore, ChatGPT‐supported should be customised degrees optimise continuous education. Implications Nursing Management Health Policy This explores diverse use learning. It suggests administrators customise support training when incorporating into development, accounting varied experiences enhance outcomes. Patient or Public Contribution No patient public contribution. Reporting Method adhered relevant STROBE guidelines.

Language: Английский

Citations

2
A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education DOI Creative Commons
Mirella Veras, Joseph-Omer Dyer, Holly Shannon

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Generative artificial intelligence (AI) integrated programs such as Chat Pre-trained Transformers (ChatGPT) are becoming more widespread in educational settings, with mounting ethical and reliability concerns regarding its usage. This paper explores the experiences, perceptions, usability of ChatGPT undergraduate health sciences students. Twenty-seven students at Carleton University (Canada) were enrolled a crossover randomized controlled trial study from Health Sciences course during Fall 2023 academic term. The intervention condition involved use ChatGPT-3.5, whereas control using conventional web-based tools. Technology was compared between ChatGPT-3.5 traditional tools questionnaires. Focus group discussions conducted seven to further elaborate on student perceptions experiences. Reflexive thematic analysis employed identify themes focus data. Easiness learnability for personal perception quick towards significantly higher, online Systems Usability Scale. Qualitative results highlighted strong benefits being tool increased overall productivity brainstorming. However, identified challenges associated accuracy, about integrity. Despite positive by students, an explicit need development policies, procedures regulations remains. An established framework best practices usage AI within science education is necessary. will ensure accountability users lead effective integration technologies into settings.

Language: Английский

Citations

1
TasksZE: A Task-Based and Challenge-Based Math Serious Game Using Facial Emotion Recognition DOI Creative Commons
Humberto Marín-Vega, Giner Alor‐Hernández, Maritza Bustos-López

et al.

Future Internet, Journal Year: 2024, Volume and Issue: 16(12), P. 440 - 440

Published: Nov. 25, 2024

Serious games play a significant role in the teaching and learning process by focusing on educational objectives rather than purely entertainment. By addressing specific needs, these provide targeted experiences. The integration of emotion recognition technology into serious can further enhance identifying areas where students may need additional support, game facilitates mathematics allowing identification emotional impact creation tailored experience for student. This study proposes challenge-based task-based math that integrates facial named TasksZE. TasksZE introduces novel approach adjusting gameplay based detected emotions, which includes real-time analysis cross-validation emotions. We conducted usability evaluation using System Usability Scale (SUS) as reference, results indicate feel is easy to use, functions are well integrated, most people learn use it very quickly. answered they would this system frequently since felt motivated attributes, rewards, level progression. These elements contributed more engaging effective experience.

Language: Английский

Citations

0