Education as Hermeneutic Study: Uncovering Meaning in The Digital Era

https://doi.org/10.51574/jrip.v5i1.2603

Authors

  • Faridah Faridah Tadris Bahasa Inggris, Pascasarjana, Institut Agama Islam Negeri (IAIN) Pare-Pare, Indonesia
  • St. Nurhayati Tadris Bahasa Inggris, Pascasarjana, Institut Agama Islam Negeri (IAIN) Pare-Pare, Indonesia

Keywords:

Artificial Intelligence, Big Data Interpretation, Educational Studies, Digital Hermeneutics

Abstract

This objective study explores the role and challenges of hermeneutics in education in the modern digital era. This type of research uses a systematic literature review approach to studies published between 2017 and 2024. This article uses strict criteria for what to include and what to leave out to look at the main trends in how hermeneutics is being used in social media, AI, and big data. It also talks about the ethical and philosophical problems that come up. These main results show that using hermeneutics in education in the digital age can help students understand texts better, but it can also cause problems with ethics, meaning, and how to represent different cultures. Additionally, in hermeneutics, interpretation constitutes the essence of comprehension. This perspective is appropriate for educators, as their responsibility is to comprehend human behavior and creations and subsequently impart this understanding to students in the learning process. The results of this SLR show how important it is to use a more integrated hermeneutical approach to deal with the problems and opportunities of using digital technologies in education. They also recommend further research on developing flexible and situation-relevant interpretation methods to promote a more balanced relationship between education, technology, and society.

Downloads

Download data is not yet available.

References

Adadi, A. (2021). A survey on data‐efficient algorithms in big data era. Journal of Big Data, 8(1), 24. https://doi.org/10.1186/s40537-021-00419-9

Alsaigh, R., & Coyne, I. (2021). Doing a hermeneutic phenomenology research underpinned by Gadamer’s philosophy: A framework to facilitate data analysis. International Journal of Qualitative Methods, 20, 16094069211047820. https://doi.org/10.1177/16094069211047820

Amory, M. D., & Johnson, K. E. (2023). Provoking novice teacher development: Cognition-and-emotion in learning-to-teach. System, 117, 103112. https://doi.org/10.1016/j.system.2023.103112

Anastasiou, D., & Kauffman, J. M. (2017). A social constructionist approach to disability: Implications for special education. Exploring Education (pp. 365-382). Routledge.

Andersen, J. (2020). Understanding and interpreting algorithms: Toward a hermeneutics of algorithms. Media, Culture & Society, 42(7-8), 1479-1494. https://doi.org/10.1177/0163443720919373

Carter, L., Liu, D., & Cantrell, C. (2020). Exploring the intersection of the digital divide and artificial intelligence: A hermeneutic literature review. AIS Transactions on Human-Computer Interaction, 12(4), 253-275. https://doi.org/10.17705/1thci.00138

Chen, G., Chen, P., Huang, W., & Zhai, J. (2022). Continuance intention mechanism of middle school student users on online learning platform based on qualitative comparative analysis method. Mathematical Problems in Engineering, 2022(1), 3215337. https://doi.org/10.1155/2022/3215337

Daquino, M., Pasqual, V., & Tomasi, F. (2020). Knowledge representation of digital hermeneutics of archival and literary sources. JLIS. it, 11(3), 59-76. https://www.torrossa.com/it/resources/an/4692427

Dilekçi, A., & Karatay, H. (2023). The effects of the 21st century skills curriculum on the development of students’ creative thinking skills. Thinking skills and creativity, 47, 101229. https://doi.org/10.1016/j.tsc.2022.101229

Enarsson, T., Enqvist, L., & Naarttijärvi, M. (2022). Approaching the human in the loop–legal perspectives on hybrid human/algorithmic decision-making in three contexts. Information & Communications Technology Law, 31(1), 123-153. https://doi.org/10.1080/13600834.2021.1958860

Etter, M., & Albu, O. B. (2021). Activists in the dark: Social media algorithms and collective action in two social movement organizations. Organization, 28(1), 68-91. https://doi.org/10.1177/1350508420961532

Ferrara, E. (2023). Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies. Sci, 6(1), 3. https://doi.org/10.3390/sci6010003

Fuenmayor, D., & Benzmüller, C. (2018). A computational-hermeneutic approach for conceptual explicitation. International Conference on Model-Based Reasoning (pp. 441-469). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-32722-4_25

Gill, K. S. (2017). Hermeneutic of performing data. AI & SOCIETY, 32, 309-320. https://doi.org/10.1007/s00146-017-0727-2

Graziul, C., Belikov, A., Chattopadyay, I., Chen, Z., Fang, H., Girdhar, A., ... & Evans, J. (2023). Does big data serve policy? Not without context. An experiment with in silico social science. Computational and Mathematical Organization Theory, 29(1), 188-219. https://doi.org/10.1007/s10588-022-09362-3

Grossman, P., Herrmann, Z., Kavanagh, S. S., & Dean, C. G. P. (2022). Core practices for project-based learning: A guide for teachers and leaders. Harvard Education Press.

Grunwald, A. (2020). The objects of technology assessment. Hermeneutic extension of consequentialist reasoning. Journal of Responsible Innovation, 7(1), 96-112. https://doi.org/10.1080/23299460.2019.1647086

Hagendorff, T. (2020). The ethics of AI ethics: An evaluation of guidelines. Minds and machines, 30(1), 99-120. https://doi.org/10.1007/s11023-020-09517-8

Hassani, H., Beneki, C., Unger, S., Mazinani, M. T., & Yeganegi, M. R. (2020). Text mining in big data analytics. Big Data and Cognitive Computing, 4(1), 1. https://doi.org/10.3390/bdcc4010001

Henrickson, L., & Meroño-Peñuela, A. (2022). The hermeneutics of computer-generated texts. Configurations, 30(2), 115-139. https://doi.org/10.1353/con.2022.0008

Henrickson, L., & Meroño-Peñuela, A. (2022). The hermeneutics of computer-generated texts. Configurations, 30(2), 115-139. https://doi.org/10.1353/con.2022.0008

Hodge, S., Mavin, T., & Kearns, S. (2020). Hermeneutic dimensions of competency-based education and training. Vocations and Learning, 13(1), 27-46. https://doi.org/10.1007/s12186-019-09227-y

Janssen, M., Hartog, M., Matheus, R., Yi Ding, A., & Kuk, G. (2022). Will algorithms blind people? The effect of explainable AI and decision-makers’ experience on AI-supported decision-making in government. Social Science Computer Review, 40(2), 478-493. https://doi.org/10.1177/0894439320980118

Jensen, J. B., Pedersen, O., Lund, O., & Skovbjerg, H. M. (2022). Playful approaches to learning as a realm for the humanities in the culture of higher education: A hermeneutical literature review. Arts and Humanities in Higher Education, 21(2), 198-219. https://doi.org/10.1177/14740222211050862

Jones, R. A. (2017). Towards dialogic epistemology: the problem of the text. Qualitative Research, 17(4), 457-472. https://doi.org/10.1177/1468794116671986

Kloeg, J. (2023). Education as an open question: A hermeneutical approach to problem-based learning. Journal of Problem Based Learning in Higher Education, 11(1), 79-97. https://doi.org/10.54337/ojs.jpblhe.v11i1.7373

Knight, Z. G. (2019). The case for the psychobiography as a phenomenological-hermeneutic case study: A new phenomenological-hermeneutic method of analysis for life-narrative investigations. New trends in psychobiography, 133-153. https://doi.org/10.1007/978-3-030-16953-4_8

Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications.

Krämer, S. (2023). Should we really ‘hermeneutise’the Digital Humanities? A plea for the epistemic productivity of a ‘cultural technique of flattening’in the Humanities. Journal of Cultural Analytics, 7(4). https://doi.org/10.22148/001c.55592

Kudina, O. (2021). “Alexa, who am I?”: voice assistants and hermeneutic lemniscate as the technologically mediated sense-making. Human Studies, 44(2), 233-253. https://doi.org/10.1007/s10746-021-09572-9

Lee, M. K. (2018). Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management. Big Data & Society, 5(1), 2053951718756684. https://doi.org/10.1177/2053951718756684

Li, X., Li, Y., & Wang, W. (2023). Long-lasting conceptual change in science education: the role of U-shaped pattern of argumentative dialogue in collaborative argumentation. Science & Education, 32(1), 123-168. https://doi.org/10.1007/s11191-021-00288-x

Iivari, N. (2018). Using member checking in interpretive research practice: A hermeneutic analysis of informants’ interpretation of their organizational realities. Information Technology & People, 31(1), 111-133. https://doi.org/10.1108/ITP-07-2016-0168

MacLeod, M. L., McCaffrey, G., Wilson, E., Zimmer, L. V., Snadden, D., Zimmer, P., ... & Graham, I. D. (2023). Exploring the intersection of hermeneutics and implementation: a scoping review. Systematic Reviews, 12(1), 30. https://doi.org/10.1186/s13643-023-02176-7

Maruthi, S., Dodda, S. B., Yellu, R. R., Thuniki, P., & Reddy, S. R. B. (2022). Toward a Hermeneutics of Explainability: Unraveling the Inner Workings of AI Systems. Journal of Artificial Intelligence Research and Applications, 2(2), 27-44. https://aimlstudies.co.uk/index.php/jaira/article/view/26

Mitter, R., & Brissett, N. O. (2017). For function or transformation? A critical discourse analysis of education under the Sustainable Development Goals. Journal for Critical Education Policy Studies, 15(1), 181. https://commons.clarku.edu/faculty_idce/56/

Morán-Reyes, A. A. (2022). Towards an ethical framework about Big Data era: metaethical, normative ethical and hermeneutical approaches. Heliyon, 8(2). https://doi.org/10.1016/j.heliyon.2022.e08926

Nassar, A., & Kamal, M. (2021). Ethical dilemmas in AI-powered decision-making: a deep dive into big data-driven ethical considerations. International Journal of Responsible Artificial Intelligence, 11(8), 1-11. https://neuralslate.com/index.php/Journal-of-Responsible-AI/article/view/43

Pastor-Escuredo, D., Treleaven, P., & Vinuesa, R. (2022). An Ethical framework for artificial intelligence and sustainable cities. Ai, 3(4), 961-974. https://doi.org/10.3390/ai3040057

Pedersen, C. (2017). Interpretation of past texts: the application of Hans-Georg Gadamer’s philosophical hermeneutics to an understanding of history education (Doctoral dissertation, University of British Columbia).

Plueger, C. T. (2024). The Significance of Educational Technology in Higher Education: An Hermeneutic Phenomenology Examination for Expanding the Theoretical Bases of Connectivism Theory. Turkish Online Journal of Educational Technology-TOJET, 23(4), 206-221.

Poulsgaard, K. S., & Malafouris, L. (2023). Understanding the hermeneutics of digital materiality in contemporary architectural modelling: a material engagement perspective. AI & SOCIETY, 38(6), 2217-2227. https://doi.org/10.1007/s00146-020-01044-5

Pääkkönen, J., & Ylikoski, P. (2021). Humanistic interpretation and machine learning. Synthese, 199(1), 1461-1497. https://doi.org/10.1007/s11229-020-02806-w

Romele, A. (2019). Digital hermeneutics: philosophical investigations in new media and technologies. Routledge.

Sackstein, S., Matthee, M., & Weilbach, L. (2023). Theories and models employed to understand the use of technology in education: A hermeneutic literature review. Education and information technologies, 28(5), 5041-5081. https://doi.org/10.1007/s10639-022-11345-5

Sullivan, R., Veen, A., & Riemer, K. (2024). Furthering engaged algorithmic management research: Surfacing foundational positions through a hermeneutic literature analysis. Information and Organization, 34(4), 100528. https://doi.org/10.1016/j.infoandorg.2024.100528

Symonds, E. (2021). An ‘unavoidable’dynamic? Understanding the ‘traditional’learner–teacher power relationship within a higher education context. British journal of sociology of education, 42(7), 1070-1085. https://doi.org/10.1080/01425692.2021.1962246

Tripathi, A. K. (2017). Hermeneutics of technological culture. AI & SOCIETY, 32, 137-148. https://doi.org/10.1007/s00146-017-0717-4

Wellner, G. (2023). Material hermeneutic of digital technologies in the age of AI. AI & SOCIETY, 1-8. https://doi.org/10.1007/s00146-020-00952-w

Zovko, J. (2023). Expanding hermeneutics to the world of technology. AI & society, 38(6), 2243-2254. https://doi.org/10.1007/s00146-020-01052-5

Published

2025-04-23

How to Cite

Faridah, F., & Nurhayati, S. (2025). Education as Hermeneutic Study: Uncovering Meaning in The Digital Era. Jurnal Riset Dan Inovasi Pembelajaran, 5(1), 183–197. https://doi.org/10.51574/jrip.v5i1.2603