TY - GEN
T1 - Interdisciplinary education - The case of biomedical signal processing
AU - Mike, Koby
AU - Nemirovsky-Rotman, Shira
AU - Hazzan, Orit
N1 - Publisher Copyright: © 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - Interdisciplinary perspective on real-life problems is an important skill for 21st century engineers and should be a part of their education. Project-based learning (PBL) is a well-known pedagogical tool for interdisciplinary education. In order to successfully accomplish interdisciplinary learning, students must have sufficient knowledge in each of the separate disciplines. Use of cross-disciplinary teams, for example, is one way to make sure a project team includes specialists in all required disciplines. This, however, is not always the case. In many cases, there are significant knowledge gaps within the project team in one or more of the project domains. Specifically, in our case, fourth-year electrical engineering students are working in pairs on biomedical signal processing projects, which are evidently interdisciplinary in nature. The teams, however, are homogeneous and the students lack the essential medical expertise required to achieve solutions applicable by physicians. Furthermore, students tend to acknowledge this gap only in the advanced phases of the project, and so critical phases, such as goal setting and planning, are performed without the required knowledge. In this article, we present (a) data that supports the existence of this knowledge gap and its effect on students; (b) an intervention program that exposes students to both the required domain knowledge and its importance to their work; and (c) initial data that supports the success of this intervention program in bridging these gaps.
AB - Interdisciplinary perspective on real-life problems is an important skill for 21st century engineers and should be a part of their education. Project-based learning (PBL) is a well-known pedagogical tool for interdisciplinary education. In order to successfully accomplish interdisciplinary learning, students must have sufficient knowledge in each of the separate disciplines. Use of cross-disciplinary teams, for example, is one way to make sure a project team includes specialists in all required disciplines. This, however, is not always the case. In many cases, there are significant knowledge gaps within the project team in one or more of the project domains. Specifically, in our case, fourth-year electrical engineering students are working in pairs on biomedical signal processing projects, which are evidently interdisciplinary in nature. The teams, however, are homogeneous and the students lack the essential medical expertise required to achieve solutions applicable by physicians. Furthermore, students tend to acknowledge this gap only in the advanced phases of the project, and so critical phases, such as goal setting and planning, are performed without the required knowledge. In this article, we present (a) data that supports the existence of this knowledge gap and its effect on students; (b) an intervention program that exposes students to both the required domain knowledge and its importance to their work; and (c) initial data that supports the success of this intervention program in bridging these gaps.
KW - Biomedical signal processing
KW - Data science education
KW - Interdisciplinary education
KW - Project-based learning
UR - http://www.scopus.com/inward/record.url?scp=85087907017&partnerID=8YFLogxK
U2 - 10.1109/EDUCON45650.2020.9125200
DO - 10.1109/EDUCON45650.2020.9125200
M3 - منشور من مؤتمر
T3 - IEEE Global Engineering Education Conference, EDUCON
SP - 339
EP - 343
BT - Proceedings of the 2020 IEEE Global Engineering Education Conference, EDUCON 2020
A2 - Cardoso, Alberto
A2 - Alves, Gustavo R.
A2 - Restivo, Teresa
T2 - 11th IEEE Global Engineering Education Conference, EDUCON 2020
Y2 - 27 April 2020 through 30 April 2020
ER -