Peer-assisted Learning Associated with Team-based Learning in Dental Education
Abstract
Peer-assisted learning is one of many educational strategies that can assist students׳ learning and their professional development. Its value could be enhanced if combined with a student centered learning strategy such as team-based learning.
Purpose
The aim of this pilot study is to evaluate the impact of peer-assisted learning associated with team-based learning on the learning experience of dental students.
Method
Forty-two dental students participated in peer-assisted learning associated with team-based learning activities and 6 of them took the role of tutors in the team-based learning sessions. A structured on-line questionnaire was sent to 42 students to evaluate their perception regarding the impact of peer-assisted learning associated with team-based learning on their learning experience. Thirty-eight (90.5%) participants out of 42 answered the questionnaire. Sixteen students volunteered to participate in focus-group interviews for verification of the questionnaire responses.
Results
Thirty-two participants (84%) agreed that peer-assisted learning associated with team-based learning improved the way they study and increased their interest in the subject. Thirty-five students (94%) indicated that they enjoyed this learning experience. In addition, they would recommend this program to their colleagues. Thirty-one (82%) agreed that peer-assisted learning associated with team-based learning improved their teaching skills. Furthermore, thirty-one students (82%) indicated that it increased their communication skills. All participants agreed that they were satisfied with the overall program. The results obtained from both students׳ survey and focus-group interviews were consistent.
Discussion
Our findings suggested that peer-assisted learning associated with team-based learning was a valuable strategy to enhance learning among students. It can also provide these students with teaching experience which could help their professional development.
Collections
- Medicine Research [1518 items ]
Related items
Showing items related by title, author, creator and subject.
-
Machine Learning for Healthcare Wearable Devices: The Big Picture
Sabry, Farida; Eltaras, Tamer; Labda, Wadha; Alzoubi, Khawla; Malluhi, Qutaibah ( John Wiley and Sons Inc , 2022 , Article Review)Using artificial intelligence and machine learning techniques in healthcare applications has been actively researched over the last few years. It holds promising opportunities as it is used to track human activities and ... -
A cooperative Q-learning approach for distributed resource allocation in multi-user femtocell networks
Saad H.; Mohamed A.; El Batt T. ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper studies distributed interference management for femtocells that share the same frequency band with macrocells. We propose a multi-agent learning technique based on distributed Q-learning, called subcarrier-based ... -
A cooperative Q-learning approach for online power allocation in femtocell networks
Saad H.; Mohamed A.; Elbatt T. ( IEEE , 2013 , Conference Paper)In this paper, we address the problem of distributed interference management of cognitive femtocells that share the same frequency range with macrocells using distributed multiagent Q-learning. We formulate and solve three ...