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 [1272 items ]
Related items
Showing items related by title, author, creator and subject.
-
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 ... -
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 ... -
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
Allahham M.S.; Khattab T.; Mohamed A. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ...