Development of Immersive Augmented Reality Learning Media Integrated with Ethnoscience: A Design-Based Research Approach
Downloads
Purpose of the study: This study aimed to develop, validate, and evaluate an Augmented Reality (AR)-based e-module integrated with Madurese bull-racing ethnoscience (SMART) to enhance junior high school students’ numeracy skills and scientific literacy through contextualized and meaningful science learning experiences.
Methodology: This study employed a Design-Based Research (DBR) approach based on the Reeves model, combined with a quasi-experimental pretest–posttest control group design. The participants consisted of 64 eighth-grade students from junior high schools in East Java, Indonesia. Data were collected through expert validation sheets, Likert-scale questionnaires, classroom observations, and achievement tests. The data were analyzed using Aiken’s V, normalized gain (N-gain), ANCOVA, and Cohen’s d effect size analysis.
Main Findings: The SMART e-module demonstrated high validity (Aiken’s V = 0.87) and excellent practicality (88.6%). The experimental group showed greater improvements in numeracy and scientific literacy than the control group, with N-gain scores ranging from 0.65 to 0.72, indicating moderate-to-high learning gains. ANCOVA results revealed a significant effect of the intervention on students’ learning outcomes (F(1,61) = 18.74, p < 0.001, η² = 0.23). In addition, students exhibited consistently high levels of behavioral, emotional, and cognitive engagement throughout the learning process.
Novelty/Originality of this study: This study presents an innovative integration of Augmented Reality technology and Madurese ethnoscience within a Design-Based Research framework to support contextual science learning. The study contributes to the existing literature by demonstrating that culturally responsive AR-based learning materials can effectively foster conceptual understanding, scientific reasoning, numeracy proficiency, and higher-order thinking skills simultaneously.
Downloads
UNESCO, Education for Sustainable Development Goals: learning objectives. 2017. doi: 10.54675/cgba9153.
R. Laurie, Y. Nonoyama-Tarumi, R. Mckeown, and C. Hopkins, “Contributions of education for sustainable development (ESD) to quality education: A synthesis of research,” J. Educ. Sustain. Dev., vol. 10, no. 2, pp. 226–242, Sep. 2016, doi: 10.1177/0973408216661442.
C. Yang and Q. Xiu, “A bibliometric review of education for sustainable development, 1992–2022,” Sustainability, vol. 15, no. 14, p. 10823, Jul. 2023, doi: 10.3390/su151410823.
R. Raman, H. Lathabhai, D. Pattnaik, C. Kumar, and P. Nedungadi, “Research contribution of bibliometric studies related to sustainable development goals and sustainability,” Discov. Sustain., vol. 5, no. 1, p. 7, Jan. 2024, doi: 10.1007/s43621-024-00182-w.
PISA 2018 Results (Volume VI). in PISA. OECD, 2020. doi: 10.1787/d5f68679-en.
T. Kastorff, S. Moser, J. H. Heine, and A. Kauertz, “Global competence behavior: Exploring the relevance of students’ scientific literacy, related attitudes, and values - evidence from PISA 2018 across 52 countries,” Large-scale Assessments Educ., vol. 14, no. 1, p. 3, Jan. 2026, doi: 10.1186/s40536-025-00278-3.
F.-H. Hsu, I.-H. Lin, H.-C. Yeh, and N.-S. Chen, “Effect of socratic reflection prompts via video-based learning system on elementary school students’ critical thinking skills,” Comput. Educ., vol. 183, p. 104497, Jul. 2022, doi: 10.1016/j.compedu.2022.104497.
V. Indrašienė et al., “Critical reflection in students’ critical thinking teaching and learning experiences,” Sustainability, vol. 15, no. 18, p. 13500, Sep. 2023, doi: 10.3390/su151813500.
I. F. Akyildiz, “CRAHNs: Cognitive radio ad hoc networks,” Ad Hoc Networks, vol. 7, no. 5, pp. 810–836, 2009, doi: 10.1016/j.adhoc.2009.01.001.
OECD, Equity and Inclusion in Education., 2023. doi: 10.1787/e9072e21-en.
R. Rasmawan, Sri Haryani, E. Susilaningsih, and L. Handayani, “Integrating Indigenous knowledge in science education: A systematic review of strategies, models, and impacts,” J. Teach. Learn., vol. 19, no. 5, Nov. 2025, doi: 10.22329/jtl.v19i5.9444.
D. Yulianto, M. S. Situmeang, Y. Junaedi, S. Anwar, and M. R. Umami, “Analyzing cultural disparities and gender in science literacy and numeracy among senior high school students in Sundaland, Indonesia,” Indones. J. Sci. Math. Educ., vol. 9, no. 1, pp. 36–56, Mar. 2026, doi: 10.24042/ijsme.v9i1.26787.
G. Hamdu, D. Hadiana, N. Sylvia, I. Apipatunnisa, and A. Yulianto, “Measuring changes of students conceptual understanding of literacy and numeracy in natural science by using rasch model,” J. Ilm. Sekol. Dasar, vol. 7, no. 3, pp. 489–497, Aug. 2023, doi: 10.23887/jisd.v7i3.59943.
W. Nurhidayat, E. Surahman, and E. Sujarwanto, “The effect of conceptual understanding procedures learning model on students’ higher level thinking skills,” JPI (Jurnal Pendidik. Indones., vol. 12, no. 2, pp. 386–394, Jun. 2023, doi: 10.23887/jpiundiksha.v12i2.58709.
OECD, PISA 2022 assessment and analytical framework. 2023.
Hari Sugiharto Setyaedhi, “PISA model numeracy questions to improve student competence,” JPI (Jurnal Pendidik. Indones., vol. 14, no. 1, pp. 200–211, Mar. 2025, doi: 10.23887/jpiundiksha.v14i1.84401.
F. I. Reski, F. Daud, A. M. Taiyeb, M. Pallenari, and S. F. Hiola, “The correlation of higher order thinking skills and scientific literacy of public high school students,” Biosfer, vol. 17, no. 2, pp. 602–612, Nov. 2024, doi: 10.21009/biosferjpb.42940.
OECD, Assessing Scientific, Reading and Mathematical Literacy. in PISA, 2006. doi: 10.1787/9789264026407-en.
OECD, “How does PISA assess science literacy?,” PISA in Focus, no. 66, OECD Publishing, Paris, 2016, doi: 10.1787/5jln4nfnqt7l-en.
Y. Li and M. Guo, “Scientific literacy in communicating science and socio-scientific issues: Prospects and challenges,” Front. Psychol., vol. 12, Nov. 2021, doi: 10.3389/fpsyg.2021.758000.
D. Reddy, “Scientific literacy, public engagement and responsibility in science,” Cult. Sci., vol. 4, no. 1, pp. 6–16, Mar. 2021, doi: 10.1177/20966083211009646.
D. Yulianto, M. R. Umami, S. Anwar, E. A. Juniawan, and Y. Junaedi, “The influence of project-based mathematics learning on 21st century skills (4C’s) considering students’ learning styles and teachers’ instructional methods,” AXIOM J. Pendidik. dan Mat., vol. 13, no. 2, p. 153, Dec. 2024, doi: 10.30821/axiom.v13i2.19787.
W. Welyta and M. G. Vega, “Discovery learning and scientific literacy: Integrating PISA indicators in high school science,” J. Acad. Biol. Biol. Educ., vol. 2, no. 1, pp. 79–87, 2AD, doi: 10.37251/jouabe.v2i1.1941.
H. Hilmina and A. Ahmad, “Strengthening chemistry learning outcomes through discovery learning and laboratory activities on colloidal systems material,” J. Chem. Learn. Innov., vol. 1, no. 2, pp. 96–107, 2024, doi: 10.37251/jocli.v1i2.3026.
R. Bybee and B. McCrae, “Scientific literacy and student attitudes: perspectives from PISA 2006 science,” Int. J. Sci. Educ., vol. 33, no. 1, pp. 7–26, Jan. 2011, doi: 10.1080/09500693.2010.518644.
B. T. Rutjens, R. M. Sutton, and R. van der Lee, “Not all skepticism is equal: Exploring the ideological antecedents of science acceptance and rejection,” Personal. Soc. Psychol. Bull., vol. 44, no. 3, pp. 384–405, Mar. 2018, doi: 10.1177/0146167217741314.
R. Syah, D. Darmawan, and S. Syamsuddin, “Development of a scientific attitude measurement instrument for Dharmacariya department students at STABN using the Fishbein and Ajzen model,” J. Penelit. dan Eval. Pendidik., vol. 27, no. 2, pp. 226–240, Dec. 2023, doi: 10.21831/pep.v27i2.66878.
M. A. Manassero-Mas and Á. Vázquez-Alonso, “An empirical analysis of the relationship between nature of science and critical thinking through science definitions and thinking skills,” SN Soc. Sci., vol. 2, no. 12, p. 270, Dec. 2022, doi: 10.1007/s43545-022-00546-x.
A. García-Carmona, “Scientific thinking and critical thinking in science education,” Sci. Educ., vol. 34, no. 1, pp. 227–245, Feb. 2025, doi: 10.1007/s11191-023-00460-5.
L. Zhang, X. Liu, and H. Feng, “Development and validation of an instrument for assessing scientific literacy from junior to senior high school,” Discip. Interdiscip. Sci. Educ. Res., vol. 5, no. 1, p. 21, Dec. 2023, doi: 10.1186/s43031-023-00093-2.
G. Karaali, E. Villafane-Hernandez, and J. Taylor, “What’s in a name? A critical review of definitions of quantitative literacy, numeracy, and quantitative reasoning,” Numeracy, vol. 9, no. 1, Jan. 2016, doi: 10.5038/1936-4660.9.1.2.
R. Mayes, F. Peterson, and R. Bonilla, “Quantitative reasoning learning progressions for environmental science: developing a framework,” Numeracy, vol. 6, no. 1, Jan. 2013, doi: 10.5038/1936-4660.6.1.4.
K. Follette, D. McCarthy, E. Dokter, S. Buxner, and E. Prather, “The quantitative reasoning for college science (QuaRCS) assessment, 1: Development and validation,” Numeracy, vol. 8, no. 2, Jul. 2015, doi: 10.5038/1936-4660.8.2.2.
S. White Brahmia, A. Olsho, T. I. Smith, A. Boudreaux, P. Eaton, and C. Zimmerman, “Physics inventory of quantitative literacy: A tool for assessing mathematical reasoning in introductory physics,” Phys. Rev. Phys. Educ. Res., vol. 17, no. 2, p. 020129, Oct. 2021, doi: 10.1103/PhysRevPhysEducRes.17.020129.
A. D. Susandi, T. Kandaga, H. Basri, and V. Rindastri, “Mapping elementary students’ numeracy literacy skills: A comprehensive analysis based on six indicators,” Smart Soc., vol. 5, no. 2, pp. 259–270, Oct. 2025, doi: 10.58524/martsociety.v5i2.852.
Ahmad Nizar Rangkuti et al., “The influence of scientific-based numeracy literacy teaching materials on students’ motivation and higher order thinking abilities,” J. Pendidik. IPA Indones., vol. 13, no. 4, Nov. 2024, doi: 10.15294/88jfsm61.
R. Ambarwati, N. Supriadi, D. Noviana, R. W. Y. Putra, M. Mujib, and S. Andriani, “Study of effect of argument driven inquiry model and mathematical literacy on student mathematical communication,” Al-Jabar J. Pendidik. Mat., vol. 15, no. 1, pp. 285–298, Jun. 2024, doi: 10.24042/ajpm.v15i1.22333.
L. Dhianti Haeruman, E. Salsabila, and S. Anastassia Amellia Kharis, “The impact of mathematical reasoning and critical thinking skills on mathematical literacy skills,” KnE Soc. Sci., Apr. 2024, doi: 10.18502/kss.v9i13.15957.
I. Irnaningsih, M. Jamhari, and M. Bialangi, “Effect of problem based learning models on student critical thinking ability and problem solving of science concept,” J. Ris. Pendidik. MIPA, vol. 6, no. 1, pp. 46–54, Jun. 2022, doi: 10.22487/j25490192.2022.v6.i1.pp46-54.
B. H. Siswati and S. Suratno, “The contribution of cognitive ability and critical thinking skills on the problem solving skills of biology education profession students using case method learning,” Biosfer, vol. 16, no. 2, Aug. 2023, doi: 10.21009/biosferjpb.34633.
An Nuril Maulida Fauziah et al., “Relationship between critical thinking and scientific argumentation in science learning,” J. Pendidik. IPA Indones., vol. 13, no. 2, Jul. 2024, doi: 10.15294/pwqxcp96.
T. D. Sadler and D. L. Zeidler, “Scientific literacy, PISA, and socioscientific discourse: Assessment for progressive aims of science education,” J. Res. Sci. Teach., vol. 46, no. 8, pp. 909–921, Oct. 2009, doi: 10.1002/tea.20327.
K.-C. Lau, “A critical examination of PISA’S assessment on scientific literacY,” Int. J. Sci. Math. Educ., vol. 7, no. 6, pp. 1061–1088, Dec. 2009, doi: 10.1007/s10763-009-9154-2.
L. Zhang and Y. Ma, “A study of the impact of project-based learning on student learning effects: A meta-analysis study,” 2023, frontiersin.org. doi: 10.3389/fpsyg.2023.1202728.
V. Prain, L. Xu, and C. Speldewinde, “guiding science and mathematics learning when students construct representations,” Res. Sci. Educ., vol. 53, no. 2, pp. 445–461, Apr. 2023, doi: 10.1007/s11165-022-10063-9.
J. Han, T. Kelley, and J. G. Knowles, “Factors influencing student STEM learning: Self-efficacy and outcome expectancy, 21st century skills, and career awareness,” J. STEM Educ. Res., vol. 4, no. 2, pp. 117–137, Sep. 2021, doi: 10.1007/s41979-021-00053-3.
N. A. Moustaffa, “Developing future-ready science college curricula fostering competencies for life and work,” J. Educ. Soc. Res., vol. 13, no. 3, p. 28, May 2023, doi: 10.36941/jesr-2023-0055.
J. T. BAZZUL, “Education in the age of biocapitalism: Optimizing educational life for a flat world, by Clayton Pierce.,” Sci. Educ., vol. 97, no. 6, pp. 975–978, Nov. 2013, doi: 10.1002/sce.21073.
T. Tanti, D. A. Kurniawan, N. Kurniawan, and L. Anggraini, “Attitudes toward science based on analysis and correlation: Learning enjoyment & leisure interest on science,” Form. J. Ilm. Pendidik. MIPA, vol. 11, no. 1, 2021, doi: 10.30998/formatif.v11i1.5142.
A. M. Novak and D. F. Treagust, “Supporting the development of scientific understanding when constructing an evolving explanation,” Discip. Interdiscip. Sci. Educ. Res., vol. 4, no. 1, p. 3, Dec. 2022, doi: 10.1186/s43031-021-00043-w.
P. Scott, E. Mortimer, and J. Ametller, “Pedagogical link‐making: a fundamental aspect of teaching and learning scientific conceptual knowledge,” Stud. Sci. Educ., vol. 47, no. 1, pp. 3–36, Mar. 2011, doi: 10.1080/03057267.2011.549619.
H. Michel and I. Neumann, “Nature of Science and Science Content Learning,” Sci. Educ., vol. 25, no. 9–10, pp. 951–975, Dec. 2016, doi: 10.1007/s11191-016-9860-4.
J. Wells, R. Henderson, A. Traxler, P. Miller, and J. Stewart, “Exploring the structure of misconceptions in the Force and Motion Conceptual Evaluation with modified module analysis,” Phys. Rev. Phys. Educ. Res., vol. 16, no. 1, p. 010121, Apr. 2020, doi: 10.1103/PhysRevPhysEducRes.16.010121.
T. Graham, J. Berry, and S. Rowlands, “Are ‘misconceptions’ or alternative frameworks of force and motion spontaneous or formed prior to instruction?,” Int. J. Math. Educ. Sci. Technol., vol. 44, no. 1, pp. 84–103, Jan. 2013, doi: 10.1080/0020739X.2012.703333.
A. Ramadhani, I. Ismet, and K. Wiyono, “Solar system learning innovation through augmented reality: Increasing student concept solar system,” Integr. Sci. Educ. J., vol. 7, no. 1, pp. 01–09, 2025, doi: 10.37251/isej.v7i1.2443.
G. S. Aikenhead, “Enhancing school mathematics culturally: A path of reconciliation,” Can. J. Sci. Math. Technol. Educ., vol. 17, no. 2, pp. 73–140, Apr. 2017, doi: 10.1080/14926156.2017.1308043.
E. Nurjanah and R. P. Laguatan, “Enhancing plant diversity learning with an ethnobotany-based e- booklet : A focus on the pandeglang community,” J. Acad. Biol. Biol. Educ., vol. 2, no. 1, pp. 58–68, 2025, doi: 10.37251/jouabe.v2i1.1989.
Z. H. Putra, W. Wulandari, M. Alpusari, and N. Hermita, “Developing a dynamic number card game to support students’ number sense: A preliminary study,” 2021. doi: 10.1109/TELE52840.2021.9482451.
F. Rosyidah, E. Susantini, Y. Yuliani, and K. Nisa’, “Local wisdom and STEM in science education to support SDG-4: A systematic review,” J. Pendidik. IPA Indones., vol. 14, no. 4, Dec. 2025, doi: 10.15294/jpii.v14i4.34450.
S. Suliyanah, M. Z. Bin Amiruddin, S. Admoko, A. Kholiq, and A. Zainuddin, “Karapan Sapi Madura: An Analytical study toward potential local wisdom as teaching materials of newtons’s laws of motion,” J. Pendidik. MIPA, vol. 24, no. 2, pp. 406–418, 2023, doi: 10.23960/jpmipa/v24i2.pp406-418.
A. N. Rohmah, A. B. Damarsha, K. K. Mulatu, and O. Saputra, “Identification of physics concepts in the local wisdom of cowek pottery making in gedangan, Lamongan” J. Ethnophysics., 2026, [Online]. Available: https://journal.unesa.ac.id/index.php/ethnophysics/article/view/48826 .
H. R. Hagad and H. Riah, “Augmented reality-based interactive learning media: enhancing understanding of chemical bonding concepts,” J. Chem. Learn. Innov., vol. 2, no. 1, pp. 52–59, 2025, doi: 10.37251/jocli.v2i1.1919.
A. Latip, Hernani, and A. Kadarohman, “Local and indigenous knowledge (LIK) in science learning: A systematic literature review,” J. Turkish Sci. Educ., vol. 21, no. 4, pp. 651–667, Dec. 2024, doi: 10.36681/tused.2024.035.
[64] S. Suryanti, N. Mariana, Y. Yermiandhoko, and W. Widodo, “Local wisdom-based teaching material for enhancing primary students’ scientific literacy skill,” J. Prima Edukasia, vol. 8, no. 1, pp. 96–105, Jan. 2020, doi: 10.21831/jpe.v8i1.32898.
Y. Zhu, “Reading matters more than mathematics in science learning: an analysis of the relationship between student achievement in reading, mathematics, and science,” Int. J. Sci. Educ., vol. 44, no. 1, pp. 1–17, Jan. 2022, doi: 10.1080/09500693.2021.2007552.
K. A. Nguyen, “Instructor strategies to aid implementation of active learning: A systematic literature review,” Int. J. Stem Educ., vol. 8, no. 1, 2021, doi: 10.1186/s40594-021-00270-7.
L. A. Arthurs and B. Z. Kreager, “An integrative review of in-class activities that enable active learning in college science classroom settings,” Int. J. Sci. Educ., vol. 39, no. 15, pp. 2073–2091, Oct. 2017, doi: 10.1080/09500693.2017.1363925.
P. E. Bajuri, Y. G. Sosa, K. Mosime, and C. F. Day, “Community interest and motivation toward recreational sports participation in solo car free day public space,” Multidiscip. J. Tour. Hosp. Sport Phys. Educ., vol. 2, no. 2, pp. 231–239, 2025, doi: 10.37251/jthpe.v2i2.3294.
K. McDowell, “Storytelling: Practice and process as non-textual pedagogy,” Educ. Inf., vol. 34, no. 1, pp. 15–19, Aug. 2018, doi: 10.3233/EFI-189003.
L. M. Jakubowski, “Beyond book learning: Cultivating the pedagogy of experience through field trips,” J. Exp. Educ., vol. 26, no. 1, pp. 24–33, Jul. 2003, doi: 10.1177/105382590302600105.
R. A. Sakul, P. Fobia, and E. E. Pane, “Discovering the essence of scientific literacy: A historical–grammatical hermeneutic analysis of contextual learning in science education,” Indones. J. Sci. Math. Educ., vol. 8, no. 3, pp. 745–760, Nov. 2025, doi: 10.24042/08h02874.
D. Yulianto, M. Umami, Y. Junaedi, S. Anwar, E. Juniawan, and T. Sanjaya, “Empowering early math education: The role of web 2.0 tools in improving counting skills in early learners,” Int. J. Educ. Math. Sci. Technol., vol. 13, no. 4, pp. 872–894, Jun. 2025, doi: 10.46328/ijemst.4887.
Y. Koumpouros, “Revealing the true potential and prospects of augmented reality in education,” Smart Learn. Environ., vol. 11, no. 1, p. 2, Jan. 2024, doi: 10.1186/s40561-023-00288-0.
S. A. Nikou, “Factors influencing student teachers’ intention to use mobile augmented reality in primary science teaching,” Educ. Inf. Technol., Jan. 2024, doi: 10.1007/s10639-024-12481-w.
S. Singh, A. Kaur, and Y. Gulzar, “The impact of augmented reality on education: a bibliometric exploration,” Front. Educ., vol. 9, Oct. 2024, doi: 10.3389/feduc.2024.1458695.
H.-Y. Chang et al., “Ten years of augmented reality in education: A meta-analysis of (quasi-) experimental studies to investigate the impact,” Comput. Educ., vol. 191, p. 104641, Dec. 2022, doi: 10.1016/j.compedu.2022.104641.
M. C. Howard and M. M. Davis, “A Meta-analysis of augmented reality programs for education and training,” Virtual Real., vol. 27, no. 4, pp. 2871–2894, Dec. 2023, doi: 10.1007/s10055-023-00844-6.
H.-Y. Huang, J.-L. Shih, S.-H. Huang, and J.-C. Liang, “Effects of the interdisciplinary robotic game to elementary school students’abilities of computational thinking and STEM,” 2019.
S. A. Yoon, K. Elinich, J. Wang, C. Steinmeier, and S. Tucker, “Using augmented reality and knowledge-building scaffolds to improve learning in a science museum,” Int. J. Comput. Collab. Learn., vol. 7, no. 4, pp. 519–541, Dec. 2012, doi: 10.1007/s11412-012-9156-x.
P. Sommerauer and O. Müller, “Augmented reality in informal learning environments: A field experiment in a mathematics exhibition,” Comput. Educ., vol. 79, pp. 59–68, Oct. 2014, doi: 10.1016/j.compedu.2014.07.013.
F. R. Alveal and T. Koparan, “Probabilistic thinking in mathematics training teachers: an approach from random games,” Rev. Fuentes, vol. 25, no. 3, pp. 293–304, 2023, doi: 10.12795/revistafuentes.2023.22921.
M. C. tom Dieck, E. Cranmer, A. Prim, and D. Bamford, “Can augmented reality (AR) applications enhance students’ experiences? Gratifications, engagement and learning styles,” Inf. Technol. People, vol. 37, no. 3, pp. 1251–1278, Apr. 2024, doi: 10.1108/ITP-10-2021-0823.
H. Chen, L. Xue, X. Wang, L. Han, and X. Ding, “Bone marrow mesenchymal stem cells-derived exosomes deliver microRNA-142-3p to disturb glioma progression by down-regulating GFI1,” Discov. Oncol., vol. 16, no. 1, 2025, doi: 10.1007/s12672-025-01837-4.
A. Yousafzai, V. Chang, A. Gani, and R. M. Noor, “Multimedia augmented m-learning: Issues, trends and open challenges,” Int. J. Inf. Manage., vol. 36, no. 5, pp. 784–792, Oct. 2016, doi: 10.1016/j.ijinfomgt.2016.05.010.
J. L. Derby and B. S. Chaparro, “Evaluating the Usability of Augmented Reality (AR) Applications: The Impact of The Device Used,” Proc. Hum. Factors Ergon. Soc. Annu. Meet., vol. 66, no. 1, pp. 1355–1359, Sep. 2022, doi: 10.1177/1071181322661431.
C. Creed, M. Al-Kalbani, A. Theil, S. Sarcar, and I. Williams, “Inclusive AR/VR: Accessibility barriers for immersive technologies,” Univers. Access Inf. Soc., vol. 23, no. 1, pp. 59–73, Mar. 2024, doi: 10.1007/s10209-023-00969-0.
X. Zhao, Y. Ren, and K. S. L. Cheah, “Leading virtual reality (VR) and augmented reality (AR) in education: bibliometric and content analysis from the web of science (2018–2022),” Sage Open, vol. 13, no. 3, Jul. 2023, doi: 10.1177/21582440231190821.
F. Wang and M. J. Hannafin, “Design-based research and technology-enhanced learning environments,” Educ. Technol. Res. Dev., vol. 53, no. 4, pp. 5–23, Dec. 2005, doi: 10.1007/BF02504682.
T. Anderson and J. Shattuck, “Design-Based Research,” Educ. Res., vol. 41, no. 1, pp. 16–25, Jan. 2012, doi: 10.3102/0013189X11428813.
S. McKenney and T. C. Reeves, Conducting Educational Design Research. Second edition. | New York : Routledge, 2019. | “[First edition: Routledge, 2018. doi: 10.4324/9781315105642.
R. Collins et al., “Interpretation of the evidence for the efficacy and safety of statin therapy,” Lancet, vol. 388, no. 10059, pp. 2532–2561, Nov. 2016, doi: 10.1016/S0140-6736(16)31357-5.
S. Barab and K. Squire, “Design-based research: Putting a stake in the ground,” J. Learn. Sci., vol. 13, no. 1, pp. 1–14, Jan. 2004, doi: 10.1207/s15327809jls1301_1.
M. Bulus, “Sample size determination and optimal design of randomized/non-equivalent pretest-posttest control-group designs,” Adıyaman Univ. J. Educ. Sci., vol. 11, no. 1, pp. 48–69, 2021, doi: 10.17984/adyuebd.941434.
G. Chen, H. Wang, A. Liang, M. Oubibi, and Y. Zhou, “From detached observer to immersive participant: An augmented reality-based experiential learning approach to promote academic performance and learning behaviors in science education,” Comput. Hum. Behav. Reports, vol. 19, p. 100756, Aug. 2025, doi: 10.1016/j.chbr.2025.100756.
T. Koparan, “The impact of a game and simulation-based probability learning environment on the achievement and attitudes of prospective teachers,” Int. J. Math. Educ. Sci. Technol., vol. 53, no. 9, pp. 2319–2337, 2022, doi: 10.1080/0020739X.2020.1868592.
T. Nguyen, “GraphDTA: Predicting drug target binding affinity with graph neural networks,” Bioinformatics, vol. 37, no. 8, pp. 1140–1147, 2021, doi: 10.1093/bioinformatics/btaa921.
L. Wei, N. S. M. Aun, F. Ibrahim, and S. Rajaratnam, “Work overload and burnout among chinese social workers during and post-covid-19: the impact of organizational support and professional identity,” Environ. Soc. Psychol., vol. 9, no. 9, pp. 1–9, 2024, doi: 10.59429/esp.v9i9.2814.
T. Yalcin, E. Pehlivan, and C. Nistor, “The impact of gamification on learner engagement, enjoyment and performance: an abstract,” in Developments in Marketing Science: Proceedings of the Academy of Marketing Science, California State University Channel Islands, Camarillo, CA, United States: Springer Nature, 2020, pp. 289–290. doi: 10.1007/978-3-030-42545-6_89.
C. Xu et al., “The role of mathematical language skills in arithmetic fluency and word-problem solving for first- and second-language learners.,” J. Educ. Psychol., vol. 114, no. 3, pp. 513–539, Apr. 2022, doi: 10.1037/edu0000673.
J. Huang, “Towards secure industrial iot: Blockchain system with credit-based consensus mechanism,” IEEE Trans. Ind. Informatics, vol. 15, no. 6, pp. 3680–3689, 2019, doi: 10.1109/TII.2019.2903342.
B. Bowles and V. G. Duffy, “Gamification through the lens of safety engineering,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), C. J.Y.C., F. G., and F. X., Eds., Purdue University, West Lafayette, 47907, IN, United States: Springer Science and Business Media Deutschland GmbH, 2023, pp. 259–277. doi: 10.1007/978-3-031-48050-8_19.
PISA 2022 Results (Volume I). in PISA. OECD, 2023. doi: 10.1787/53f23881-en.
H. Y. Chang, “Ten years of augmented reality in education: A meta-analysis of (quasi-) experimental studies to investigate the impact,” Comput. Educ., vol. 191, 2022, doi: 10.1016/j.compedu.2022.104641.
Copyright (c) 2026 Andri Imam Subekhi, Nandang Kusmana, Yusup Junaedi, Teguh Ardianto, Bagus Ardi Saputro

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and acknowledge that the Journal of Educational Technology and Learning Creativity is the first publisher licensed under a Creative Commons Attribution 4.0 International License.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges and earlier and greater citation of published work.

.png)
.png)

.png)











