Tren dan Aplikasi Penelitian Pendidikan
DOI:
https://doi.org/10.62383/dilan.v2i3.1977Keywords:
Educational research trends, data collection, applications of educational researchAbstract
This study aims to examine the trends and applications of technology in educational research, which are rapidly evolving along with digital advances and the need for adaptive learning. Phenomena such as big data, artificial intelligence (AI), and online learning have changed the way research is conducted, both in terms of data collection and analysis. Through a qualitative descriptive approach, this study analyzes various applications that support the effectiveness of educational research and the challenges faced in their use. The results show that trends such as the use of AI, big data, and mixed methods contribute significantly to the validity and efficiency of educational research. However, challenges such as low technological literacy, data security risks, and infrastructure limitations remain major obstacles. These findings are expected to be the basis for formulating data-based educational policies and developing more innovative research methods.
References
Bryman, A. (2016). Social research methods. Oxford University Press.
Chen, X., Xie, H., & Hwang, G. J. (2020). A multi-perspective study on AI-supported learning: The current situation, trend, and challenges. Educational Technology & Society, 23(3), 1–16.
Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education. Routledge.
Creswell, J. W. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE Publications.
Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research. SAGE Publications.
Daniel, B. (2019). Big data and learning analytics in higher education. Springer Nature.
Dede, C., Jacobson, J., & Richards, J. (2017). Virtual, augmented, and mixed realities in education. Springer.
Ferguson, R. (2012). Learning analytics: Drivers, developments, and challenges. International Journal of Technology Enhanced Learning, 4(5/6), 304–317.
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review.
Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380–1400.
Woolf, B. P. (2021). AI in education: Building learning systems that care. Cambridge University Press.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39), 1–27.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dinamika Pembelajaran : Jurnal Pendidikan dan bahasa

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



