Preliminary Analysis of Experimental Results Using Drag-and-Drop and Log Data on PseudoLearn in Learning Logic Programming

DOI

10.2991/978-94-6463-358-0_9How to use a DOI?

Keywords

ANOVA; Drag and Drop; Log Data; Programming Algorithm; Pseudocode

Abstract

Logical and systematic thinking to complete case studies is needed so that the coding structure developed is easily understood by the system. But in practice there are still many students have difficulty understanding the concept of programming algorithms. PseudoLearn is an application that is used as a programming logic learning that models case studies into pseudo code. PseudoLearn uses a drag and drop approach by reconstructing a pseudo code algorithm that is equipped with log data so that it can track student activities and abilities. The hypothesis developed for this study is that students who use the PseudoLearn application get a better understanding than using conventional methods. Thirty-nine students involved in the experiment from the Department of Informatics Engineering, State Polytechnic of Malang. In the first stage, an initial test was carried out which was used as the basis for dividing the groups. Students were divided into 3 groups are control, experiment 1, and experiment 2. ANOVA statistical analysis was used to ensure that the groups used had the same abilities. The experimental results are in accordance with the hypothesis, where the experimental group 1 and 2 exceed the control, besides that it was also found that there was an increase in the pre-test to post-test score of the experimental group which was better than the control. Another interesting thing that was found from the log data analysis is that novice students tend to have more steps to get the right answer and have a longer time learning programming logic.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Vivin Ayu Lestari
AU  - Farid Angga Pribadi
AU  - Eka Larasati Amalia
AU  - Ardila Lukita Sari
AU  - Eksa Lailia Maulidina
PY  - 2024
DA  - 2024/01/12
TI  - Preliminary Analysis of Experimental Results Using Drag-and-Drop and Log Data on PseudoLearn in Learning Logic Programming
BT  - Proceedings of the 2023 Annual Technology, Applied Science and Engineering Conference (ATASEC 2023)
PB  - Atlantis Press
SP  - 75
EP  - 88
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-358-0_9
DO  - 10.2991/978-94-6463-358-0_9
ID  - Lestari2024
ER  -