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IJIET 2024 Vol.14(11): 1544-1553
doi: 10.18178/ijiet.2024.14.11.2185

E-Worksheets with Augmented Reality Technology in Laboratory Learning: Examining Their Effectiveness on Students’ Learning Performance

Oriza Candra1, Doni Tri Putra Yanto1,*, Hastuti1, Jelpapo Putra Yanto2, Juli Sardi1, Merita Yanita3, Hermi Zaswita4, and Maryatun Kabatiah5
1. Electrical Engineering Department, Faculty of Engineering, Universitas Negeri Padang, Padang, Indonesia
2. Chemistry Master’s Degree Program, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
3. Department of Cosmetology and Beauty, Faculty of Tourism and Hospitality, Universitas Negeri Padang, Padang, Indonesia
4. English Department, Faculty of Languages and Arts, Universitas Negeri Padang, Padang, Indonesia
5. Civic Education Study Program, Faculty of Social Science, Universitas Negeri Medan, Medan, Indonesia
Email: orizacandra@ft.unp.ac.id (O.C.); donitriputra@ft.unp.ac.id (D.T.P.Y.); hastuti@unp.ac.id (H.); jelpapo.putra.yanto-2020@fst.unair.ac.id (J.P.Y); julisardi@ft.unp.ac.id (J.S.); yanitamerita@gmail.com (M.Y.); hermizaswita@fbs.unp.ac.id (H.Z.); maryatunkabatiah@unimed.ac.id (M.K.)
*Corresponding author

Manuscript received June 19, 2024; revised July 22, 2024; accepted July 29, 2024; published November 15, 2024

Abstract—Virtual reality technology, such as Augmented Reality (AR), is becoming increasingly popular in learning. However, its integration with other learning media needs continuous innovation, and the effectiveness of its use in the learning process must also be empirically analyzed, as each learning process has its uniqueness and characteristics. This research discusses the effectiveness of E-Worksheets with Augmented Reality (E-WAR) in the laboratory learning process for Electrical Machine Courses (EMC) in higher education. E-WAR is an innovative, technology-based practical learning medium that integrates AR technology with Electronic Worksheets (E-Worksheets). A quasi-experimental research with a non-equivalent control group design, consisting of experimental and control groups, was applied in this research. The study involved 68 students as research subjects. Data on student practicum learning outcomes were collected using the Performance Assessment Rubric (PAR). The effectiveness of E-WAR was evaluated based on the analysis of differences in post-test results between the experimental and control groups using the independent sample t-test. Cohen’s d Effect Size Analysis was also used to measure the effect size of using E-WAR. The research showed significant differences in post-test results between the experimental and control groups, with the experimental group scoring higher than the control group. Furthermore, the effect size analysis results indicate that the influence of using E-WAR falls into the large category. These findings suggest that E-WAR is an effective technology-based learning medium that greatly improves student learning performance in the laboratory learning process.

Keywords—augmented reality technology, e-worksheets with augmented reality, laboratory learning, higher education

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Cite: Oriza Candra, Doni Tri Putra Yanto, Hastuti, Jelpapo Putra Yanto, Juli Sardi, Merita Yanita, Hermi Zaswita, and Maryatun Kabatiah, "E-Worksheets with Augmented Reality Technology in Laboratory Learning: Examining Their Effectiveness on Students’ Learning Performance," International Journal of Information and Education Technology vol. 14, no. 11, pp. 1544-1553, 2024.


Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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