Artificial Intelligence Applications Using Chatgpt in Education: Case Studies and Practices

Within the realm of education, a pivotal dilemma has arisen, beckoning for inventive resolutions: How can academic scholars effectively employ Artificial Intelligence to reshape the landscape of medical learning? An answer materializes through Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices, authored by Muhammad Shahzad Aslam and Saima Nisar. With comprehensive expertise in Medical and Health Education, and Health Informatics, the authors present an insightful exploration of AI's potential to redefine medical education. Traditional methods of medical education often confront challenges in keeping pace with the burgeoning expanse of knowledge and the ever-adapting nuances of medical science. Both educators and students grapple with the overwhelming influx of information, seeking effective ways to impart and assimilate intricate concepts. Ethical quandaries, including plagiarism detection, further compound the complexities faced by academic scholars. Amidst these intricacies, the demand for an innovative solution becomes apparent - one that harmonizes progressive technology with pedagogical principles. Artificial Intelligence Applications Using ChatGPT in Education presents an inspired solution to the dilemmas of contemporary medical education. Through an exploration of ChatGPT's capabilities, an AI-driven chatbot, the authors unveil a potent instrument for self-guided learning. Drawing from enlightening case studies and in-depth examinations, they illuminate how ChatGPT can evolve into a personalized tutor, aiding students in comprehending intricate medical facets in their own stride. Furthermore, the book conducts a just analysis of the ethical dimensions of AI integration, casting light on the moral employment of AI within academic realms.

Muhammad Shahzad Aslam is a young high‐performing professional with more than five years of experience in higher education. He is currently working as Assistant Professor in the School of Traditional Chinese Medicine, Xiamen University Malaysia. He completed his PhD in October 2017 from Universiti Malaysia Perlis, Malaysia, under a scholarship awarded by the Government of Malaysia under the Ministry of Higher Education Malaysia categorized as Malaysian International Scholarship. He had completed M.Phil in Pharmaceutical Chemistry from Bahauddin Zakariya University, Multan, Pakistan. He has graduated as a Doctor of Pharmacy (Pharm-D) from Baqai Medical University, Karachi, Pakistan. He has been working with a multidisciplinary attitude in digital health, mental health, psychopharmacology, public health, natural product chemistry, green chemistry, novel extraction prototype, extraction, fractionation and isolation of bioactive compounds, stabilities studies of pharmaceuticals, standardization of herbal product, pre-clinical trials, and health informatics.

Saima Nisar PhD in Information Technology from Universiti Utara Malaysia with IBM certified Data Scientist with experience in various aspects of Data science and analytics including Python, Machine Learning, data analysis, statistical analysis and predictive modelling. Saima Nisar has published eleven articles and has an h-index (3).