This study aims to explore ChatGPT’s (GPT-3.5 version) functionalities, including reinforcement learning, diverse applications, and limitations. ChatGPT is an artificial intelligence (AI) chatbot powered by OpenAI’s Generative Pre-trained Transformer (GPT) model. The chatbot’s applications span education, programming, content generation, and more, demonstrating its versatility. ChatGPT can improve education by creating assignments and offering personalized feedback, as shown by its notable performance in medical exams and the United States Medical Licensing Exam. However, concerns include plagiarism, reliability, and educational disparities. It aids in various research tasks, from design to writing, and has shown proficiency in summarizing and suggesting titles. Its use in scientific writing and language translation is promising, but professional oversight is needed for accuracy and originality. It assists in programming tasks like writing code, debugging, and guiding installation and updates. It offers diverse applications, from cheering up individuals to generating creative content like essays, news articles, and business plans. Unlike search engines, ChatGPT provides interactive, generative responses and understands context, making it more akin to human conversation, in contrast to conventional search engines’ keyword-based, non-interactive nature. ChatGPT has limitations, such as potential bias, dependence on outdated data, and revenue generation challenges. Nonetheless, ChatGPT is considered to be a transformative AI tool poised to redefine the future of generative technology. In conclusion, advancements in AI, such as ChatGPT, are altering how knowledge is acquired and applied, marking a shift from search engines to creativity engines. This transformation highlights the increasing importance of AI literacy and the ability to effectively utilize AI in various domains of life.
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Purpose Technological advances are changing how students approach learning. The traditional note-taking methods of longhand writing have been supplemented and replaced by tablets, smartphones, and laptop note-taking. It has been theorized that writing notes by hand requires more complex cognitive processes and may lead to better retention. However, few studies have investigated the use of tablet-based note-taking, which allows the incorporation of typing, drawing, highlights, and media. We therefore sought to confirm the hypothesis that tablet-based note-taking would lead to equivalent or better recall as compared to written note-taking.
Methods We allocated 68 students into longhand, laptop, or tablet note-taking groups, and they watched and took notes on a presentation on which they were assessed for factual and conceptual recall. A second short distractor video was shown, followed by a 30-minute assessment at the University of California, Irvine campus, over a single day period in August 2018. Notes were analyzed for content, supplemental drawings, and other media sources.
Results No significant difference was found in the factual or conceptual recall scores for tablet, laptop, and handwritten note-taking (P=0.61). The median word count was 131.5 for tablets, 121.0 for handwriting, and 297.0 for laptops (P=0.01). The tablet group had the highest presence of drawing, highlighting, and other media/tools.
Conclusion In light of conflicting research regarding the best note-taking method, our study showed that longhand note-taking is not superior to tablet or laptop note-taking. This suggests students should be encouraged to pick the note-taking method that appeals most to them. In the future, traditional note-taking may be replaced or supplemented with digital technologies that provide similar efficacy with more convenience.
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This study aimed to ascertain whether medical students would enter a closed area where there was a raging epidemic of an infectious disease with a high fatality rate, and includes reasons for the students entering or refusing to enter. Participants included 50 second-year medical students. They were assigned to read a novel entitled 28, written by Youjeong Jeong, and discuss it in groups. Using their book reports, their decisions of whether or not to enter Hwayang, the city from the novel, and the reasons for their decisions were analyzed; we furthermore investigated the factors affecting their decisions. Among the 50 respondents, 18 students (36%) answered that they would enter, and the remaining 32 students (64%) answered that they would not enter the zone. The reasons given for entering were responsibility (44%), sense of ethics (33%), social duty (17%), and sense of guilt (6%). The reasons the students provided for not entering were inefficiency (44%), worry regarding family (28%), needlessness of sacrifice (19%), and safety not ensured (9%). Students who had four or fewer family members were more likely to enter Hwayang than were students who had five or more family members (odds ratio, 1.85). Students who had completed over 100 hours of volunteer work were more likely to enter Hwayang than were students who had volunteered less than 100 hours (odds ratio, 2.04). Owing to their “responsibility” as a doctor, 36% of medical students answered that they would enter an exclusion zone in an infected district with a high fatality rate. However, 64% answered they would not enter because of “inefficiency.” For the medical students it is still a question ‘To enter or not to enter?’
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