Design-Based Research Approaches in Educational Technology Innovation
DOI:
https://doi.org/10.37396/jalmd.v1i3.20Keywords:
Design-Based Research, Educational Technology, Innovation, Learning Environments, Iterative DesignAbstract
This study explores the application of Design-Based Research (DBR) approaches in fostering innovation within educational technology. DBR is characterized by iterative cycles of design, implementation, analysis, and refinement conducted in real-world learning environments. The purpose of this research is to examine how DBR can effectively bridge the gap between theory and practice while generating practical and scalable technological solutions for education. Using a mixed-method approach, this study analyzes multiple case implementations of educational technology interventions developed through DBR frameworks. Data were collected through observations, user feedback, system performance metrics, and learning outcome assessments. The findings indicate that DBR enables continuous improvement of educational tools by incorporating stakeholder input, particularly from educators and learners, throughout the development process. Additionally, the approach supports context-sensitive innovation, ensuring that solutions are adaptable to diverse educational settings. The study also highlights challenges, including time constraints, complexity of iterative cycles, and the need for strong collaboration among multidisciplinary teams. Despite these limitations, DBR proves to be a powerful methodology for producing both theoretical contributions and practical innovations in educational technology. This research contributes to the growing body of knowledge on effective research methodologies for technology-enhanced learning and provides recommendations for future implementation of DBR in educational contexts.
References
[1] L. Mei, X. Feng, and F. Cavallaro, “Evaluate and identify the competencies of the future workforce for digital technologies implementation in higher education,” Journal of Innovation & Knowledge, vol. 8, no. 4, p. 100445, Oct. 2023, doi: https://doi.org/10.1016/j.jik.2023.100445.
[2] M. Yazdani, D. Pamucar, A. Erdmann, and L. Toro-Dupouy, “Resilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertainty,” Technological Forecasting and Social Change, vol. 188, p. 122282, Mar. 2023, doi: https://doi.org/10.1016/j.techfore.2022.122282.
[3] G. Panda, M. K. Dash, M. S. Kaswan, and R. Chaudhary, “Exploring the impact of digital technology in Indian higher education: a comprehensive analysis,” The TQM Journal, vol. 38, no. 2, pp. 434–458, Feb. 2026, doi: https://doi.org/10.1108/TQM-02-2024-0093.
[4] R. Darvin, “Moving across a genre continuum: Pedagogical strategies for integrating online genres in the language classroom,” English for Specific Purposes, vol. 70, pp. 101–115, Apr. 2023, doi: https://doi.org/10.1016/j.esp.2022.11.004.
[5] M. R. Kealey, J. Urakami, K. Henderson, M. Chignell, and S. E. Straus, “In what ways does user experience design improve printed educational materials?,” Applied Ergonomics, vol. 113, p. 104081, Nov. 2023, doi: https://doi.org/10.1016/j.apergo.2023.104081.
[6] Z. Ma, Y. Ren, X. Xiang, and Z. Turk, “Data-driven decision-making for equipment maintenance,” Automation in Construction, vol. 112, p. 103103, Apr. 2020, doi: https://doi.org/10.1016/j.autcon.2020.103103.
[7] M. L. Yanguas, “Technology and educational choices: Evidence from a one-laptop-per-child program,” Economics of Education Review, vol. 76, p. 101984, Jun. 2020, doi: https://doi.org/10.1016/j.econedurev.2020.101984.
[8] F. Tuma, “The use of educational technology for interactive teaching in lectures,” Annals of Medicine and Surgery, vol. 62, pp. 231–235, Feb. 2021, doi: https://doi.org/10.1016/j.amsu.2021.01.051.
[9] M. S.-Y. Jong, “Pedagogical adoption of SVVR in formal education: Design-based research on the development of teacher-facilitated tactics for supporting immersive and interactive virtual inquiry fieldwork-based learning,” Computers & Education, vol. 207, p. 104921, Dec. 2023, doi: https://doi.org/10.1016/j.compedu.2023.104921.
[10] R. Peschl, H. Peschl, L. Bortolin, and V. Reid, “A case of design based research methodology to create curriculum for an entrepreneurial thinking course.,” The International Journal of Management Education, vol. 21, no. 3, p. 100838, Nov. 2023, doi: https://doi.org/10.1016/j.ijme.2023.100838.
[11] H. Luan, H. Xu, W. Tang, Y. Tian, and Q. Zhang, “Coal and gangue classification in actual environment of mines based on deep learning,” Measurement, vol. 211, p. 112651, Apr. 2023, doi: https://doi.org/10.1016/j.measurement.2023.112651.
[12] S. Lee, S. Yoon, and J. Kim, “Effective time step analysis of convex splitting schemes for the Swift–Hohenberg equation,” Journal of Computational and Applied Mathematics, vol. 419, p. 114713, Feb. 2023, doi: https://doi.org/10.1016/j.cam.2022.114713.
[13] Y.-H. Wang, “Design-based research on integrating learning technology tools into higher education classes to achieve active learning,” Computers & Education, vol. 156, p. 103935, Oct. 2020, doi: https://doi.org/10.1016/j.compedu.2020.103935.
[14] J. Novakovich, S. Shaw, and S. Miah, “Data to inform a social media component for professional development and practices: A design-based research study,” Data in Brief, vol. 10, pp. 544–547, Feb. 2017, doi: https://doi.org/10.1016/j.dib.2016.12.039.
[15] J.-M. Koivisto, E. Haavisto, H. Niemi, P. Haho, S. Nylund, and J. Multisilta, “Design principles for simulation games for learning clinical reasoning: A design-based research approach,” Nurse Education Today, vol. 60, pp. 114–120, Jan. 2018, doi: https://doi.org/10.1016/j.nedt.2017.10.002.
[16] K. Çetin and A. Dalo?lu, “Practicum lesson study: insights from a design-based research in English language teaching practicum,” IJLLS, vol. 14, no. 1, pp. 1–13, Feb. 2025, doi: https://doi.org/10.1108/IJLLS-08-2024-0184.
[17] V. Roberts, “Open learning design for using open educational practices in high school learning contexts and beyond,” JME, vol. 16, no. 5, pp. 491–507, Nov. 2022, doi: https://doi.org/10.1108/JME-01-2022-0019.
[18] T. Gorham, R. Majumdar, and H. Ogata, “Learning analytics of peer feedback on communicative skills in an EFL course across different learning modalities,” Studies in Educational Evaluation, vol. 81, p. 101352, Jun. 2024, doi: https://doi.org/10.1016/j.stueduc.2024.101352.
[19] M. Li, Y. Wang, P. Yu, Z. Sun, and Z. Chen, “Online adaptive energy management strategy for fuel cell hybrid vehicles based on improved cluster and regression learner,” Energy Conversion and Management, vol. 292, p. 117388, Sep. 2023, doi: https://doi.org/10.1016/j.enconman.2023.117388.
[20] E. Pogorskiy and J. F. Beckmann, “From procrastination to engagement? An experimental exploration of the effects of an adaptive virtual assistant on self-regulation in online learning,” Computers and Education: Artificial Intelligence, vol. 4, p. 100111, 2023, doi: https://doi.org/10.1016/j.caeai.2022.100111.
[21] R. J. Volpe, M. Matta, A. M. Briesch, and J. S. Owens, “Formative behavioral assessment across eight constructs: Dependability of direct behavior ratings and formative behavior rating measures,” Journal of School Psychology, vol. 101, p. 101251, Dec. 2023, doi: https://doi.org/10.1016/j.jsp.2023.101251.
[22] J. Vreugdenhil et al., “Debriefing to nurture clinical reasoning in nursing students: A design-based research study,” Nurse Education Today, vol. 143, p. 106402, Dec. 2024, doi: https://doi.org/10.1016/j.nedt.2024.106402.
[23] M. Odio, “Designing internships for development: A design-based research study with FanGate Solutions,” Journal of Hospitality, Leisure, Sport & Tourism Education, vol. 35, p. 100517, Nov. 2024, doi: https://doi.org/10.1016/j.jhlste.2024.100517.
[24] K. Chandler-Olcott et al., “Using design-based research to adjust lesson study with pre-service teacher candidates,” IJLLS, vol. 13, no. 2, pp. 87–100, May 2024, doi: https://doi.org/10.1108/IJLLS-04-2023-0039.



