Digital Drone Education in Sarawak: Enhancing STEM Learning through Hands-on Training for School Students

Authors

  • San Nah Sze Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Piau Phang Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Wei King Tiong Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Kang Leng Chiew Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Bui Lin Wee Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Say Leng Goh Optimisation and Visual Analytics Research Group, Faculty of Computing and Informatics, Universiti Malaysia Sabah Labuan International Campus, 87000 Labuan, Malaysia
  • Sofia Akmal Abu Bakar Talent & Capability Department, Digital Enabler, Malaysia Digital Economy Corporation, 2360 Persiaran APEC, 63000 Cyberjaya, Selangor, Malaysia
  • Richki Hardi Department of Informatics, Universitas Mulia, Balikpapan, Indonesia

DOI:

https://doi.org/10.37934/araset.53.2.19

Keywords:

Drone education, digital STEM , digital inclusivity

Abstract

In Sarawak, concerns about low STEM enrolment, digital inclusivity gaps for rural children, and the transition from digital consumption to digital creation led to the introduction of the Drone Education Program. Participants began with foundational drone operation training, advancing to capturing images and videos. Subsequently, they were acquainted with elementary photo and video editing techniques, enabling them to enhance their drone-generated content. The aim of this research is to gauge the impact of the Drone Education Program on refining drone operations, bolstering digital editing competencies, and stimulating STEM engagement in students. In our methodology, we employed tailored pre- and post-surveys for evaluation, and younger students provided feedback via an emoji-based survey. Further analytical methods encompassed non-parametric tests, Exploratory Factor Analysis (EFA), and linear mixed-effect modelling. Results indicated significant post-intervention improvements in the targeted skills. The EFA grouped 21 Likert items into five distinct learning domains. Notable insights include district-wise variances in learning outcomes and the influential role of gender. The initiative showcases promise in confronting Sarawak's educational barriers, championing digital inclusivity, and preparing a digitally proficient generation.

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Author Biographies

San Nah Sze, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

snsze@unimas.my

Piau Phang, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

pphang@unimas.my

Wei King Tiong, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

wktiong@unimas.my

Kang Leng Chiew, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

klchiew@unimas.my

Bui Lin Wee, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

blwee@unimas.my

Say Leng Goh, Optimisation and Visual Analytics Research Group, Faculty of Computing and Informatics, Universiti Malaysia Sabah Labuan International Campus, 87000 Labuan, Malaysia

slgoh@ums.edu.my

Sofia Akmal Abu Bakar, Talent & Capability Department, Digital Enabler, Malaysia Digital Economy Corporation, 2360 Persiaran APEC, 63000 Cyberjaya, Selangor, Malaysia

sofia@mdec.com.my

Richki Hardi, Department of Informatics, Universitas Mulia, Balikpapan, Indonesia

richki@universitasmulia.ac.id

Published

2024-10-02

Issue

Section

Articles