Examining STEM Students' Computational Thinking Skills through Interactive Practicum Utilizing Technology

Abstract

This research study explores and compares the computational thinking skills demonstrated by STEM students during interactive practicums involving both virtual laboratories and physical laboratories. The objectives of the study are to assess the performance of computational thinking skills in each practicum setting and to determine any differences between the two environments. An experimental approach was adopted, and 106 first-year STEM students from a distinguished private university in Indonesia participated in the study. The students were divided into two groups, one using virtual labs and the other using physical labs. The study employed a portfolio instrument to assess various aspects of computational thinking, including problem reformulation, recursion, problem decomposition, abstraction, and systematic testing. The findings show that both groups of students achieved "good" scores for computational thinking skills. However, students in the virtual labs group demonstrated superior skills compared to the physical labs group. The aspects of problem reformulation and abstraction received the highest scores in both groups, while problem decomposition received the lowest scores. A MANOVA test confirmed statistically significant differences in computational thinking skills between the two practicum environments. The study suggests that the use of virtual labs can positively impact students' computational thinking abilities. The results have implications for educators and institutions seeking to enhance students' computational thinking skills and design effective STEM practicums.

Technology-Based Future Science Education: Axiological Philosophy in the Framework of Bibliometric Analysis

“…The advent of sophisticated tools, digital resources, and a diverse array of digital learning platforms presents a substantial opportunity for science education to evolve into a more interactive, inclusive, and pertinent field. The integration of technology into science education has paved the way for a multitude of innovations in teaching and learning methodologies (Asy'ari & Da Rosa, 2022;Bilad, 2023;Verawati et al, 2023). Educators can employ computer simulations to elucidate intricate concepts, facilitating a more comprehensible understanding for students.…”