A review on modern teaching and learning techniques in medical education

Abstract

Education is an ever-evolving and active process that requires periodic refinement. The absence of innovative teaching techniques in academics leaves medical curricula inadequate to take significant strides towards the future. The objective of this review is to define and evaluate alternative methods of teaching and learning that can supplement or serve as alternatives to didactic lectures. These methods aim to promote active student involvement and expedite a smooth flow of information. A literature review was conducted using PubMed, OVID and EBSCO, utilizing keywords such as "learning," "didactic lectures," "alternative techniques of learning," "modern learning techniques," and "medical education." Database searches identified 300 studies, with 250 selected for further screening based on inclusion and exclusion criteria. Articles were surveyed for relevance and significance to our study objectives, encompassing both qualitative and quantitative studies. Various modern learning methodologies were identified, including Case-Based Learning, Evidence-Based Medicine, Problem-Based Learning, Simulation-Based Learning, e-learning, Peer-Assisted Learning, Observational Learning, Flipped Classroom, and Team-Based Learning. These methods address individual learning differences, allowing students to broaden their thinking and professional knowledge. Early introduction of integrative approaches develops student competency and leadership, preparing them for a seamless transition into clinical practice. This study emphasizes the significance and challenges of modern learning systems. Given technological advancements and the broader implications of medical information, students require innovative skills through inter-professional learning. It is imperative to introduce and implement flexible medical curricula that accommodate distinct modern teaching methodologies to address the evolving needs of medical education.

The Role of Artificial Intelligence in Creation of Future Education: Possibilities and Challenges

“…It was found that recent articles are dedicated to one of the following topics: personalized learning (Demartini et al, 2024), intelligent tutoring (Lai et al, 2023), data analytics and predictive modelling (Gómez-Pulido et al, 2023). According to recent studies (Diwan et al, 2023;Karkera et al, 2024;Snigdha & Akter, 2023), AI is an important instrument to create high-quality educational content which integrates audio and visual materials. Besides, some authors differentiate the problems of ethical responsibility for using AI (Michel-Villarreal et al, 2023) and formation of digital literacy of lecturers and students (Cardona et al, 2023;Ng et al, 2023).…”