Sports Medicine and Health Science, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 1, 2024
Язык: Английский
Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 6, С. 100219 - 100219
Опубликована: Апрель 3, 2024
This study investigates the impact of activity-based learning and utilization ChatGPT on students' academic performance within educational framework. The aims to assess effectiveness in comparison traditional methods, while also evaluating potential benefits drawbacks integrating as an tool. employs a comparative approach, analyzing outcomes students exposed versus those using conventional methods. Additionally, examines usage education through surveys trials determine its contribution personalized feedback, interactive learning, innovative teaching findings reveal that enhances engagement, motivation, critical thinking skills. Students participating demonstrate improved achievement, which is attributed their active involvement practical application knowledge. Similarly, integration offers novel avenues for individualized assistance, fostering understanding exploration complex concepts. In conclusion, proves be student-centered approach by participation engagement. showcases enhance experiences conversations methodologies, despite considerations regarding limitations ethical implications.
Язык: Английский
Процитировано
47
Heliyon, Год журнала: 2023, Номер 9(9), С. e19688 - e19688
Опубликована: Сен. 1, 2023
In the past decade, Artificial Intelligence (AI) and machine learning technologies have become increasingly prevalent in academic world. This growing trend has led to debates about impact of these on academia. The purpose this article is examine ChatGPT, an AI technology, field determine academics' perceptions it. To achieve goal, in-depth interviews were conducted with 10 academics, their views subject analyzed. It seen that academics believe ChatGPT will play a helpful role as tool scientific research educational processes can serve inspiration for new topics areas. Despite advantages, also ethical concerns, such plagiarism misinformation. study found viewed positively useful education, but concerns misinformation need be addressed.
Язык: Английский
Процитировано
46
Biology of Sport, Год журнала: 2023, Номер 41(2), С. 221 - 241
Опубликована: Дек. 13, 2023
AMA Dergaa I, Ben Saad H, El Omri A, et al. Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI’s GPT-4 model. Biology Sport. 2024;41(2):221-241. doi:10.5114/biolsport.2024.133661. APA Dergaa, I., Saad, H., Omri, A., Glenn, J. M., Clark, C. C., & Washif, A. (2024). Sport, 41(2), 221-241. https://doi.org/10.5114/biolsport.2024.133661 Chicago Ismail, Helmi Abdelfatteh Jordan M Cain C Jad and Noomen Guelmami 2024. "Using model". Sport 41 (2): Harvard J., Guelmami, N., Hammouda, O., Al-Horani, R., Reynoso-Sánchez, L., Romdhani, Paineiras-Domingos, Vancini, Taheri, Mataruna-Dos-Santos, Trabelsi, K., Chtourou, Zghibi, Eken, Ö., Swed, S., Aissa, Shawki, El-Seedi, Mujika, Seiler, Zmijewski, P., B. Pyne, D., Knechtle, B., Asif, Drezner, Sandbakk, Ø., Chamari, K. pp.221-241. MLA Ismail model." vol. 41, no. 2, 2024, pp. Vancouver Glenn J, Clark C, Washif J
Язык: Английский
Процитировано
34
Biology of Sport, Год журнала: 2023, Номер 41(2), С. 209 - 220
Опубликована: Ноя. 21, 2023
AMA Washif JA, Pagaduan J, James C, Dergaa I, Beaven CM. Artificial intelligence in sport: Exploring the potential of using ChatGPT resistance training prescription. Biology Sport. 2024;41(2):209-220. doi:10.5114/biolsport.2024.132987. APA Washif, J. A., Pagaduan, J., James, C., Dergaa, I., & Beaven, C. M. (2024). Sport, 41(2), 209-220. https://doi.org/10.5114/biolsport.2024.132987 Chicago Jad A, Jeffrey Carl Ismail and Christopher M Beaven. 2024. "Artificial prescription". Sport 41 (2): Harvard pp.209-220. MLA et al. prescription." vol. 41, no. 2, 2024, pp. Vancouver
Язык: Английский
Процитировано
29
New Asian Journal of Medicine, Год журнала: 2024, Номер 2(1), С. 1 - 16
Опубликована: Янв. 1, 2024
Background: In the rapidly evolving domain of healthcare technology, integration advanced computational models has opened up new possibilities for personalized nutrition guidance. The emergence sophisticated language models, such as Chat Generative Pre-training Transformer (ChatGPT), offers potential in providing interactive and tailored dietary advice. However, concerns remain about applicability appropriateness ChatGPT's recommendations, especially those with distinct health conditions. Objectives: This study aimed to evaluate reliability ChatGPT a source nutritional Methods: Three hypothetical scenarios representing various conditions were presented alongside precise requirements. was tasked generate programs, encompassing meal timing, specific caloric portions (measured grams spoons), well alternative options each scenario. Following this, ChatGPT’s generated programs underwent thorough review by multidisciplinary team nutritionist, specialist physicians clinical researchers. evaluation focused on programs' suitability, alignment standards, consideration individual factors, additional guidance Safety. Results: demonstrated its ability plans accordance basic principles. there are apparent issues recommended macronutrient distribution, handling conditions, drug interactions, setting realistic weight loss goals. Conclusions: While exhibits promise program generator, application intervention should be restricted certified professionals. Until July 2023, it is not advisable patients engage self-prescription using version 3.5, owing inability provide professional knowledge acceptable guidance, particularly individuals co-existing prevailing absence reasoning highlights importance employing solely tool, rather than relying an autonomous decision-maker. Its lack highlighted need human expert collaboration evaluations.
Язык: Английский
Процитировано
9
International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 31
Опубликована: Июнь 19, 2024
The advent of Chat-GPT, an AI-driven technology, is reshaping various sectors, particularly higher education. This study, merging the Unified Theory Acceptance and Use Technology (UTAUT) with Protection Motivation (PMT), explores relationship between technology adoption protection motivation in education, addressing concept "the (un)knowledgeable, (un)skilled." Through Structural Equation Modeling, findings from Indonesian participants (N = 445), including students lecturers, reveal that perceived benefits such as task efficiency, hedonic motivation, performance expectancy, effort expectancy predominantly motivate Chat-GPT use. Risk perception leans more on vulnerability than severity, insignificant impact response cost. Response efficacy self-efficacy significantly determine intention. Insight moderating effect educational level suggest doctoral-level users demonstrate increased usage, gender plays a role efficiency. Both actively influence users' intentions actual usage behavior. These insights guide educators, policymakers, institutions ethically integrating AI, managing evolving risk perceptions, empowering dynamic AI landscape Policymakers (e.g., university boards) are urged to dexterity ethical framework authorize user ensure equitable access
Язык: Английский
Процитировано
7
Journal of Hospitality Leisure Sport & Tourism Education, Год журнала: 2024, Номер 35, С. 100504 - 100504
Опубликована: Май 28, 2024
Язык: Английский
Процитировано
4
Journal of Back and Musculoskeletal Rehabilitation, Год журнала: 2025, Номер unknown
Опубликована: Янв. 26, 2025
Язык: Английский
Процитировано
0
Medicine, Год журнала: 2024, Номер 103(40), С. e39757 - e39757
Опубликована: Окт. 4, 2024
Effective communication of scientific knowledge plays a crucial role in the advancement medical research and health care. Technological advancements have introduced large language models such as Chat Generative Pre-Trained Transformer (ChatGPT), powered by artificial intelligence (AI), which has already shown promise revolutionizing writing. This study aimed to conduct detailed evaluation ChatGPT-3.5’s enhancing various aspects From May 10 12, 2023, authors engaged series interactions with ChatGPT-3.5 evaluate its effectiveness tasks, particularly application writing, including vocabulary enhancement, text rewriting for plagiarism prevention, hypothesis generation, keyword title article summarization, simplification jargon, transforming from informal data interpretation. The exploration ChatGPT’s functionalities writing revealed potential process, demonstrating efficiency improving usage, suggesting alternative phrasing, providing grammar enhancements. While results indicate ChatGPT (version 3.5), presence certain imperfections highlights current indispensability human intervention refine validate outputs, ensuring accuracy relevance settings. integration AI into shows significant clarity, efficiency, reliability. both benefits limitations using ChatGPT-3.5, emphasizing ability enhance vocabulary, prevent plagiarism, generate hypotheses, suggest keywords, summarize articles, simplify transform an academic format. However, tools should not replace expertise. It is professionals ensure thorough review validation maintain content case they eventually use supplementary resource Accepting this mutually symbiotic partnership holds patient outcomes, it sets stage fusion produce novel approach assessment. Thus, while can streamline experienced writers researchers must perform final reviews uphold high standards communications.
Язык: Английский
Процитировано
2
Cureus, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 6, 2024
At the intersection of artificial intelligence (AI) and healthcare, it is essential that clinicians grasp ability chatbots. AI-powered chatbots such as ChatGPT are being explored for their potential benefits by both individuals institutions. The utility (OpenAI) in various scenarios was through a series recorded prompts responses. In clinical aspects, chatbot facilitated tasks triage, patient consultation, diagnosis, administrative responsibilities. Their capacity to translate simplify intricate medical topics also evaluated. For research purposes, chatbots' abilities suggest ideas, prepare protocols, assist manuscript writing, guide statistical analyses, recommend suitable journals were assessed. educational domain, tested simplifying complex subjects, reviewing procedural steps, generating scenarios, formulating multiple-choice questions. A comprehensive literature review conducted across Medline, Embase, Web Science. Chatbots, when optimally employed, can serve invaluable resources spanning clinical, research, domains. lies enhancing efficiency, guiding decision-making, facilitating care education. However, application requires nuanced understanding caution regarding limitations.
Язык: Английский
Процитировано
2