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Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices
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Author(s)/Editor(s): Muhammad Shahzad Aslam (School of Traditional Chinese Medicine, Xiamen University Malaysia, Malaysia)and Saima Nisar (School of Computing, UUM College of Arts and Sciences, University Utara Malaysia, Sintok, Malaysia)
Copyright: ©2023
DOI: 10.4018/978-1-6684-9300-7
ISBN13: 9781668493007
ISBN10: 1668493004
EISBN13: 9781668493014
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DescriptionIn the realm of education, the challenge lies in effectively utilizing Artificial Intelligence to transform medical learning. Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices, authored by Muhammad Shahzad Aslam and Saima Nisar, offers insights into this issue. With expertise in Medical and Health Education, and Health Informatics, the authors explore AI's potential in reshaping medical education. Traditional medical education struggles to keep up with expanding knowledge and evolving medical science, leaving educators and students overwhelmed by vast information. Ethical concerns, such as plagiarism, further complicate matters. A solution is needed that blends technology with effective teaching. Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices proposes such a solution. By harnessing ChatGPT's capabilities as an AI chatbot, the book suggests a self-guided learning tool. Backed by case studies, the authors demonstrate how ChatGPT can become a personalized tutor, helping students grasp complex medical concepts at their own pace. The book also delves into the ethical aspects of AI integration, ensuring responsible use in academia.
Reviews and Testimonials
Artificial Intelligence (AI) has revolutionized various domains, and the advent of ChatGPT, a cutting-edge AI tool developed by OpenAI, marks a significant milestone in the field. Released in November 2022, ChatGPT leverages a large language model (LLM) to facilitate natural language interactions. As with any groundbreaking technology, questions arise regarding its optimal utilization, acceptance in contemporary society, and its specific applications, particularly in the context of medical education. The book authored by Dr. Muhammad Shahzad Aslam and Saima Nisar delves into the unexplored realms of ChatGPT in education, focusing on its applications, challenges, and ethical considerations. The fundamental questions surrounding the effective use of ChatGPT are systematically addressed throughout the 15 chapters, presenting a comprehensive guide for educators, researchers, and AI enthusiasts.
– Muhammad Shahzad Aslam
Author's/Editor's Biography
Muhammad Shahzad Aslam
Muhammad Shahzad Aslam stands out as an elite 1% top reviewer, as per Web of Science, for the years 2017, 2018, and 2019 in the domains of multi-discipline, cross-discipline, and clinical medicine, respectively. His contributions extend to the realm of academic editing, where he has served as an honorary academic editor for various journals, accumulating over 8 years of experience in peer review and academic editorial roles. As an esteemed author and editor, Dr. Shahzad Aslam has lent his expertise to four impactful Books: "Cases on Teaching Pharmacology to Complementary and Alternative Medicine Students," "Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine," "Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices," and "Workplace Cyberbullying and Behavior in Health Professions." Presently, Dr. Shahzad Aslam serves as an Assistant Professor in the School of Traditional Chinese Medicine at Xiamen University Malaysia. His academic journey includes obtaining a Ph.D. from the School of Bioprocess Engineering, Universiti Malaysia Perlis (UniMAP), where he focused on natural product chemistry. His pursuit of knowledge was supported by a prestigious scholarship from the Ministry of Higher Education (MOHE), Malaysia, under the Malaysian International Scholarship (MIS). Prior to his current position, Dr. Shahzad Aslam earned a Master of Philosophy degree in Pharmaceutical Chemistry from Bahauddin Zakariya University, Pakistan, and a Doctor of Pharmacy degree (Pharm.D.) from Baqai Medical University, Pakistan. Commencing his career in the pharmaceutical industry as a production supervisor and quality control analyst, he transitioned into academia in 2013 when he assumed the role of a lecturer at Lahore Pharmacy College, Pakistan. Here, he imparted knowledge in pharmaceutical chemistry, instrumentation, and organic chemistry. His academic journey further includes roles as an Assistant Professor at Rashid Latif College of Pharmacy and Ziauddin University after the completion of his Ph.D. Dr. Shahzad Aslam's research endeavors have focused on metabolomics analysis, fragmentation analysis of bioactive compounds, polyherbal formulations, and their interactions in wound healing. His specialized areas of expertise encompass phytochemistry, Pharmacognosy, green extraction techniques, wound healing studies, animal modeling, novel plant extraction methods, sustainable solvents, and Public health.
Saima Nisar
Saima Nisar PhD holds a degree in Information Technology from Universiti Utara Malaysia and is a certified Data Scientist by IBM. She brings extensive experience in the field of Data Science and Analytics, encompassing skills such as Python programming, Machine Learning, data analysis, statistical analysis, and predictive modeling. Saima has contributed to the academic community by publishing eleven articles, and her research impact is reflected in an h-index of 3. Currently, she serves as a lecturer at Xiamen University Malaysia.
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