The work presents the use of various computational tools to support the implementation of cooperative learning methods in Analysis and Design of Bioreactor course. This subject is offered to 3rd year students of Chemical-Bioprocess Engineering program in Universiti Teknologi Malaysia. The cooperative learning method was implemented to improve student cognitive skills attainment in each of the course learning outcomes. Achievements of student cognitive skills were assessed quantitatively while the effectiveness of the cooperative learning method applied were evaluated qualitatively. Results showed that the student performance and attainment of their cognitive skills at thinking level of ‘application’ has improved at least by 30%. Reflections from students also indicated that the proposed student-centered teaching method managed to not only increase students understanding on the subject but also nurtured student's creativity and equipped the students with computational tools that are useful in the industry.
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26 October 2022
REGIONAL CONFERENCE IN ENGINEERING EDUCATION (RCEE) & RESEARCH IN HIGHER EDUCATION (RHEd) 2020: RCEE 2020
29–30 September 2020
Johor Bahru, Malaysia
Research Article|
October 26 2022
Computational tools for cooperative learning in bioreactor design course
Muhd Nazrul Hisham Zainal Alam;
Muhd Nazrul Hisham Zainal Alam
a)
1
School of Chemical & Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia
, 81310 Johor Bahru, Malaysia
a)Corresponding author: nazrulhisham@utm.my
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Zaki Yamani Zakaria
Zaki Yamani Zakaria
b)
1
School of Chemical & Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia
, 81310 Johor Bahru, Malaysia
2
Centre for Engineering Education, Universiti Teknologi Malaysia
, 81310 Johor Bahru, Malaysia
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a)Corresponding author: nazrulhisham@utm.my
AIP Conference Proceedings 2433, 030018 (2022)
Citation
Muhd Nazrul Hisham Zainal Alam, Zaki Yamani Zakaria; Computational tools for cooperative learning in bioreactor design course. AIP Conference Proceedings 26 October 2022; 2433 (1): 030018. https://doi.org/10.1063/5.0072469
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