MILA in Dental Education

MILA in Teaching Human Anatomy for Dental Students

Dr. Deepak Nallaswamy Veeraiyan, Dr.M. Subha, K. Yuvaraj Babu, Karthik Ganesh Mohanraj, Dr. Lavanya Prathap, Ganesh Lakshmanan, Dr. Dinesh Premavathy, S. Sangeetha


Pages: 11-26
Year of Publication: 2020

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Abstract

MILA, Multiple interactive learning algorithms are an innovation in teaching and learning. Since conventional teaching methodology involves one way communication it prevents students from active participation. MILA is a methodology which involves active participation by the students in the form of activity and discussions. Activity based learning is an evolution in the teaching learning process to overcome the limitations from conventional teaching or learning [1]. Clarity in theoretical concepts is essential for application in reality. However this cannot be achieved by conventional teaching [2]. Transformation from conventional teaching to activity based learning has a positive influence on students [2,3]. By reinforcing concepts learned during lecture, visually teaching new concepts and providing an outlet where the students are free to interact more casually with the instructor and their peers enhances their concentration and confidence [4]. Activity-based learning prescribes an array of methods of pedagogical approaches to teaching. Its core practice lies on hands-on experiments and activities [5]. In our study we have tried numerous activities in teaching head and neck anatomy to dental undergraduate students. We have tried numerous individual and team activities in teaching anatomy. The activities include concept mapping, model making using chart, clay modelling, sketching, etc. A short flipped video followed by interaction with the facilitator and activity which enables students to have an active learning session. We found it to be a very effective learning methodology based on the students’ performance and the feedback we received from the students.

Keywords: Flipped Class, Teaching, Learning, Clay Modelling, Activity based Learning