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  4. Enhanced Student Learning in Proteomics - an Interactive Tool Support for Teaching Workflows
 
conference paper

Enhanced Student Learning in Proteomics - an Interactive Tool Support for Teaching Workflows

Wickramarachchi, Anuradha
•
Mallawaarachchi, Vijini
•
Meedeniya, Dulani
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January 1, 2018
Proceedings Of 2018 Ieee International Conference On Teaching, Assessment, And Learning For Engineering (Tale)
IEEE International Conference on Teaching, Assessment, and Learning for Engineering (IEEE TALE) - Engineering Next-Generation Learning

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.

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Type
conference paper
DOI
10.1109/TALE.2018.8615134
Web of Science ID

WOS:000493952400032

Author(s)
Wickramarachchi, Anuradha
Mallawaarachchi, Vijini
Meedeniya, Dulani
Perera, Indika
Welivita, Anuradha  
Date Issued

2018-01-01

Publisher

IEEE

Publisher place

New York

Published in
Proceedings Of 2018 Ieee International Conference On Teaching, Assessment, And Learning For Engineering (Tale)
ISBN of the book

978-1-5386-6522-0

Series title/Series vol.

Proceedings of IEEE International Conference on Teaching Assessment and Learning for Engineering

Start page

228

End page

235

Subjects

experiential learning

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bioinformatics workflow management

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genomics

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proteomics

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tool supportfor learning

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bioinformatics education

•

virtual labs

•

sequence

•

prediction

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
GR-PU  
Event nameEvent placeEvent date
IEEE International Conference on Teaching, Assessment, and Learning for Engineering (IEEE TALE) - Engineering Next-Generation Learning

Wollongong, AUSTRALIA

Dec 04-07, 2018

Available on Infoscience
November 20, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/163240
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