Effectiveness of algorithm visualisation in studying complex algorithms: a case study using TRAKLA2
Ravie Chandren Muniyandi1, Ali Maroosi2.
Algorithm visualisation (AV) can be utilised to improve students’
programming and programme comprehension skills. Visual tools motivate
students and teachers to more effectively study or teach complex algorithms.
This study demonstrates that AV tools signifi cantly improve student skills
and scores and enhance understanding of complex algorithms to a degree
greater than those of less complexity. TRAKLA2 is a visualisation tool used
to enhance the process of learning algorithm construction and optimization.
To assess the effectiveness of TRAKLA2, students were given an algorithm
test prior to being introduced to the software. Students then used TRAKLA2
to learn fi ve different types of algorithms. Analysis of students’ feedback
from questionnaires and tests showed greater levels of improvement in
understanding complex problems as compared to those of less complexity.
Our results show that TRAKLA2 enhances the understanding of complex
algorithms and is an effective tool for algorithm teaching and learning.
Affiliation:
- Universiti Kebangsaan Malaysia, Malaysia
- Universiti Kebangsaan Malaysia, Malaysia
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