Ready to Master Data Structures? Discover How Eduplay and Problem-Based Learning Elevate Computational Thinking and Real-World Problem Solving

Data structures therefore should be conquered for optimal development of computational thinking and general problem solving prowess. Nevertheless, traditional classroom approaches can hardly meet learners’ interest and enlighten them on how the acquired knowledge could be applied in practice. This paper aims to analyze how the introduced Eduplay, an application that comprises educational games and interactive exercises, can be applied to Problem-Based Learning, focusing on problem-solving. The purpose of the study is to determine the extent to which active learning methods contribute to the improvement of students’ interest, comprehension and skill in data structures. This methodology comprised pre- and post-tests with regard to CT and qualitative approach employed in observing the learning participants’ engagement and interactions. The study also shows that with the integration of Eduplay and PBL, students become more engaged effectively and independently, they think critically, and effectively and independently apply the learnt concepts. The above results imply that combining Eduplay and PBL offers not only the transition from classroom knowledge to working experience but also learning in its entirety. This approach presents educators with a new direction that they can use to enhance the learning outcomes of their students in data structures and other computational fields

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Publication Details

Journal
Data & Metadata
Published
2024-12-17
DOI
https://doi.org/10.56294/dm2024540
Citations
1
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.79
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article

Ready to Master Data Structures? Discover How Eduplay and Problem-Based Learning Elevate Computational Thinking and Real-World Problem Solving

Wakhinuddin Wakhinuddin, Yogi Yunefri, Yogi Ersan Fadrial, Sutejo Sutejo et al.
1 citations
Data & Metadata
Educational Games and Gamification
0.79
article

Ready to Master Data Structures? Discover How Eduplay and Problem-Based Learning Elevate Computational Thinking and Real-World Problem Solving

Wakhinuddin Wakhinuddin, Yogi Yunefri, Yogi Ersan Fadrial, Sutejo Sutejo, Refdinal Refdinal
article en
1 citations

Abstract

Data structures therefore should be conquered for optimal development of computational thinking and general problem solving prowess. Nevertheless, traditional classroom approaches can hardly meet learners’ interest and enlighten them on how the acquired knowledge could be applied in practice. This paper aims to analyze how the introduced Eduplay, an application that comprises educational games and interactive exercises, can be applied to Problem-Based Learning, focusing on problem-solving. The purpose of the study is to determine the extent to which active learning methods contribute to the improvement of students’ interest, comprehension and skill in data structures. This methodology comprised pre- and post-tests with regard to CT and qualitative approach employed in observing the learning participants’ engagement and interactions. The study also shows that with the integration of Eduplay and PBL, students become more engaged effectively and independently, they think critically, and effectively and independently apply the learnt concepts. The above results imply that combining Eduplay and PBL offers not only the transition from classroom knowledge to working experience but also learning in its entirety. This approach presents educators with a new direction that they can use to enhance the learning outcomes of their students in data structures and other computational fields

Data & MetadataVol. 3
State University of Padang (ID), Universitas Lancang Kuning (ID)
Quality Education
Openalex Percentile: Top 21%
Educational Games and Gamification
0.79
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Ready to Master Data Structures? Discover How Eduplay and Problem-Based Learning Elevate Computational Thinking and Real-World Problem Solving — Wakhinuddin Wakhinuddin, Yogi Yunefri, et al. · Data & Metadata (2024) | TGRS Research Map | TGRS