TY - GEN
T1 - Enhanced Student Learning in Proteomics - An Interactive Tool Support for Teaching Workflows
AU - Wickramarachchi, Anuradha
AU - Mallawaarachchi, Vjiini
AU - Meedeniya, Dulani
AU - Perera, Indika
AU - Welivita, Anuradha
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Teaching and learning support for bioinformatics has become a popular research area. Proteomics education can be bridged with technology enhancements such that tool support for protein structures experiments. Generally, students in proteomics require different tools with unique processing methods for a given sequence, that makes the learning process challenging and time-consuming. Without an efficient teaching platform to conduct experiments, simulate algorithms and visualize outputs can cause lack of interest over time and can adversely impact on active student participation. This paper presents a novel concept by utilizing a workflow tool to support teaching and learning of bioinformatics. The tool facilitates to conduct experiments, execute various algorithms and visualize outputs to derive conclusions taught during lectures. The research outcome was evaluated using a task-sheet which examined the student's understanding of the proteomics processing such as protein search, alignment and annotation. The results demonstrated a significant gain in understanding, which was reflected through the student answers for the task sheet. The effectiveness and the need for such system were proven to be positive with 85% of educators appreciating the tool support for teaching and the tool enabled more than 80% of student involvement within the first 18 minutes of the session.
AB - Teaching and learning support for bioinformatics has become a popular research area. Proteomics education can be bridged with technology enhancements such that tool support for protein structures experiments. Generally, students in proteomics require different tools with unique processing methods for a given sequence, that makes the learning process challenging and time-consuming. Without an efficient teaching platform to conduct experiments, simulate algorithms and visualize outputs can cause lack of interest over time and can adversely impact on active student participation. This paper presents a novel concept by utilizing a workflow tool to support teaching and learning of bioinformatics. The tool facilitates to conduct experiments, execute various algorithms and visualize outputs to derive conclusions taught during lectures. The research outcome was evaluated using a task-sheet which examined the student's understanding of the proteomics processing such as protein search, alignment and annotation. The results demonstrated a significant gain in understanding, which was reflected through the student answers for the task sheet. The effectiveness and the need for such system were proven to be positive with 85% of educators appreciating the tool support for teaching and the tool enabled more than 80% of student involvement within the first 18 minutes of the session.
KW - Experiential learning
KW - bioinformatics workflow management
KW - genomics
KW - proteomics
KW - tool support for learning
UR - http://www.scopus.com/inward/record.url?scp=85062109508&partnerID=8YFLogxK
U2 - 10.1109/TALE.2018.8615134
DO - 10.1109/TALE.2018.8615134
M3 - Conference contribution
T3 - Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
SP - 228
EP - 235
BT - Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
A2 - Lee, Mark J.W.
A2 - Nikolic, Sasha
A2 - Ros, Montserrat
A2 - Shen, Jun
A2 - Lei, Leon C. U.
A2 - Wong, Gary K.W.
A2 - Venkatarayalu, Neelakantam
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
Y2 - 4 December 2018 through 7 December 2018
ER -