Educational Narratives of Museum-Based Contextual History Learning for Strengthening Students' Historical Awareness
Abstract
Background. History education in Indonesia remains heavily reliant on rote memorization, hindering students’ historical consciousness. While museums offer authentic, experiential learning environments, their pedagogical potential remains largely underutilized due to unstructured, passive visits.
Purpose. This study aims to analyze the role of museums as contextual history learning media and to develop an integrated three-phase strategy (pre-visit, during-visit, and post-visit) to enhance students’ historical awareness.
Method. Employing a literature review methodology, this research synthesizes academic books, peer-reviewed articles, and educational policy documents, analyzed through thematic content analysis.
Results. The findings indicate that history learning in schools remains dominated by memorization-oriented and teacher-centered approaches, limiting students’ engagement and historical awareness. In line with previous studies, the use of museums as learning resources can provide more meaningful and experiential learning; however, their implementation is often unstructured and passive.
Conclusion. When systematically implemented, this model transforms passive field trips into inquiry-driven learning experiences. It shifts history education from fact-based memorization toward immersive, reflective engagement, ultimately strengthening students’ historical awareness and enabling meaningful connections between past narratives and contemporary realities.
Full text article
References
Alapo, R. (2023). Decolonization of Knowledge Production in African Societies: Contextual Analysis of Language of Instruction. African Development and Global Engagements Policy Climate Change and Covid 19, (Query date: 2026-05-28 11:01:07), 139–168. https://doi.org/10.1007/978-3-031-21283-3_8
An, K. (2022). CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR. Proceedings of the Annual Conference of the International Speech Communication Association Interspeech, 2022(Query date: 2026-05-28 11:01:07), 2103–2107. https://doi.org/10.21437/Interspeech.2022-11214
Ariza-Casabona, A. (2023). Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13980(Query date: 2026-05-28 11:01:07), 49–65. https://doi.org/10.1007/978-3-031-28244-7_4
Arya, D. J. (2022). Into the void of discourse. Linguistics and Education, 68(Query date: 2026-05-28 11:01:07). https://doi.org/10.1016/j.linged.2021.100964
Asad, M. M. (2025). Influence of ChatGPT and generative AI on continuous learning and skill enhancement in Education 4.0: Contextual insights from the higher education of Pakistan. TQM Journal, 38(3), 655–672. https://doi.org/10.1108/TQM-09-2024-0357
Bachbauer, N. (2022). Education and Employment Trajectories in NEPS-ADIAB: The Survey Data of the National Educational Panel Study Linked to Administrative Data of the Institute for Employment Research. European Sociological Review, 38(4), 663–676. https://doi.org/10.1093/esr/jcab057
Begmatov, A. (2025). Context-Aware Intelligent Middleware for Seamless Integration of Mobile Ad Hoc Networks in Smart Education Environments for History Lessons. Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications, 16(4), 438–453. https://doi.org/10.58346/JOWUA.2025.I4.025
Bernasconi, E. (2025). Enhancing Personalised Learning with a Context-Aware Intelligent Question-Answering System and Automated Frequently Asked Question Generation. Electronics Switzerland, 14(7). https://doi.org/10.3390/electronics14071481
Bunnell, E. (2025). Extinction of Contextual Fear Memory and Passive Avoidance Memory and Subsequent Anxiety-like and Depressive-like Behavior of A53T and A53T-L444P Mice. Genes, 16(9). https://doi.org/10.3390/genes16091004
Cai, M. (2024). EmpCRL: Controllable Empathetic Response Generation via In-Context Commonsense Reasoning and Reinforcement Learning. 2024 Joint International Conference on Computational Linguistics Language Resources and Evaluation Lrec Coling 2024 Main Conference Proceedings, (Query date: 2026-05-28 11:01:07), 5734–5746.
Chang, H. T. (2023). Development of a simple screening tool for determining cognitive status in Alzheimer’s disease. Plos One, 18(1). https://doi.org/10.1371/journal.pone.0280178
Chen, J. (2022). Exploring learner identity in the blended learning context: A case study of collaborative writing. System, 108(Query date: 2026-05-28 11:01:07). https://doi.org/10.1016/j.system.2022.102841
Chen, P. F. (2022). Automatic International Classification of Diseases Coding System: Deep Contextualized Language Model With Rule-Based Approaches. Jmir Medical Informatics, 10(6). https://doi.org/10.2196/37557
Cuba, M. J. (2024). Contextualizing Multilingual Learner Disproportionality in Special Education: A Mixed-Methods Approach. Teachers College Record, 126(1), 29–60. https://doi.org/10.1177/01614681241233877
Dao, H. (2024). Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation. SIGIR 2024 Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (Query date: 2026-05-28 11:01:07), 785–795. https://doi.org/10.1145/3626772.3657755
Gopi, S. (2024). Enhancing Engineering Education Through LLM-Driven Adaptive Quiz Generation: A RAG-Based Approach. Proceedings Frontiers in Education Conference Fie, (Query date: 2026-05-28 11:01:07). https://doi.org/10.1109/FIE61694.2024.10893146
Herten, M. van. (2022). Ecocritical analysis of “glocal” essays on Lived Experiences of Climate Change in higher education. Frontiers in Sustainability, 3(Query date: 2026-05-28 11:01:07). https://doi.org/10.3389/frsus.2022.980530
Jang, W. (2023). Contextual Modulation of Adult Child Language Interaction: Semantic Network Connectivity and Children’s Vocabulary Development. Education Sciences, 13(11). https://doi.org/10.3390/educsci13111084
Jones, R. M. (2025). Enhanced spatial analysis assessing the association between PFAS-contaminated water and cancer incidence: Rationale, study design, and methods. BMC Cancer, 25(1). https://doi.org/10.1186/s12885-025-13508-2
Kistler, J. T. (2024). Does history really repeat itself? An empirical investigation of recurring misconduct violations in public procurement. Journal of Purchasing and Supply Management, 30(1). https://doi.org/10.1016/j.pursup.2023.100893
Kocoglu, Y. (2024). Improving the accuracy of short-term multiphase production forecasts in unconventional tight oil reservoirs using contextual Bi-directional long short-term memory. Geoenergy Science and Engineering, 235(Query date: 2026-05-28 11:01:07). https://doi.org/10.1016/j.geoen.2024.212688
Lee, Y. (2024). Beginning, rise, fall, and comeback: Exploring the journey of a physical education teacher community in South Korea. European Physical Education Review, 30(4), 688–703. https://doi.org/10.1177/1356336X241243205
Liu, A. L. (2023). Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors. Chemistry of Materials, 35(21), 8816–8826. https://doi.org/10.1021/acs.chemmater.3c01842
Liu, C. Y. (2025). Extracting the actions of contextual understanding in STEAM research: Direction for STEAM course design. Thinking Skills and Creativity, 56(Query date: 2026-05-28 11:01:07). https://doi.org/10.1016/j.tsc.2025.101770
Luthra, M. (2024). Data-Envelopes for Cultural Heritage: Going beyond Datasheets. Legal and Ethical Issues in Human Language Technologies 2024 Legal 2024 at Lrec Coling 2024 Workshop Proceedings, (Query date: 2026-05-28 11:01:07), 52–65.
Mamede, J. P. M. (2024). Consistency of behavioral profiles in zebrafish: A machine learning approach to bold and shy individual differences. Applied Animal Behaviour Science, 276(Query date: 2026-05-28 11:01:07). https://doi.org/10.1016/j.applanim.2024.106317
Memeti, A. (2025). Context-Aware AI for Real-Time Content and Quiz Recommendations in Student Learning Environments. 2025 3rd Cognitive Models and Artificial Intelligence Conference Aicconf 2025 Proceedings, (Query date: 2026-05-28 11:01:07). https://doi.org/10.1109/AICCONF64766.2025.11063980
Page, A. (2025). Engaging in twenty-first century practices locally: Aligning pacific ways of teaching and learning with innovative learning environments. Teachers and Teaching Theory and Practice, 31(2), 313–330. https://doi.org/10.1080/13540602.2024.2426510
Pendo, K. (2024). Clinical Characteristics, Sleep, and Temperament in Infants and Young Children with Problematic Hair Pulling and Skin Picking. Cognitive Therapy and Research, 48(1), 119–136. https://doi.org/10.1007/s10608-023-10435-z
Pentkowski, N. S. (2022). Differential effects of chronic stress on anxiety-like behavior and contextual fear conditioning in the TgF344-AD rat model of Alzheimer’s disease. Behavioural Brain Research, 418(Query date: 2026-05-28 11:01:07). https://doi.org/10.1016/j.bbr.2021.113661
Psarra, E. (2022). Context-Based, Predictive Access Control to Electronic Health Records. Electronics Switzerland, 11(19). https://doi.org/10.3390/electronics11193040
Rahimi, S. M. (2022). Contextual location recommendation for location-based social networks by learning user intentions and contextual triggers. Geoinformatica, 26(1). https://doi.org/10.1007/s10707-021-00437-y
Rajangam, K. (2023). (In)adequacies of Heritage Conservation and Management: Socio-Spatial Contestations of the Piedmont-Scrublands, Ramanadi Basin, Tamirabarani Productive Landscape. Conservation and Management of Archaeological Sites, 25(1), 30–53. https://doi.org/10.1080/13505033.2023.2293350
Reeves, M. (2022). Innovating Management Innovation. Strategic Management Review, 3(1), 157–167. https://doi.org/10.1561/111.00000040
Sarumathi, S. (2025). Data Driven Resume Analyzer for Student Career Optimization. 6th International Conference on Mobile Computing and Sustainable Informatics Icmcsi 2025 Proceedings, (Query date: 2026-05-28 11:01:07), 595–602. https://doi.org/10.1109/ICMCSI64620.2025.10883246
Steinmaurer, A. (2025). Immersive Learning in History Education: Exploring the Capabilities of Virtual Avatars and Large Language Models. Communications in Computer and Information Science, 2271(Query date: 2026-05-28 11:01:07), 363–374. https://doi.org/10.1007/978-3-031-80475-5_26
Surendran-Padmaja, S. (2025). Beyond the Number Games: Understanding the Farmer Producer Companies in India and the Way Forward. Journal of Asian and African Studies, 60(3), 1402–1417. https://doi.org/10.1177/00219096231192332
Tomar, A. (2025). Emotional Support System for Mental Health and Personalized Recommendation. 3rd IEEE International Conference on Networks Multimedia and Information Technology Nmitcon 2025, (Query date: 2026-05-28 11:01:07). https://doi.org/10.1109/NMITCON65824.2025.11188312
Valendin, J. (2022). Customer base analysis with recurrent neural networks. International Journal of Research in Marketing, 39(4), 988–1018. https://doi.org/10.1016/j.ijresmar.2022.02.007
Vuhuong, J. (2022). Exploring the leadership development journey of SME owner-managers. Journal of Management Development, 41(2), 53–69. https://doi.org/10.1108/JMD-10-2021-0271
Wang, J. (2022). Contextual and selective attention networks for image captioning. Science China Information Sciences, 65(12). https://doi.org/10.1007/s11432-020-3523-6
Wang, W. (2022). Intertwining History and Places: The Design of TongSEE Location-Based Augmented Reality Application for History Learning. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13318(Query date: 2026-05-28 11:01:07), 153–169. https://doi.org/10.1007/978-3-031-06015-1_11
Wang, Z. (2024). Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. Advances in Neural Information Processing Systems, 37(Query date: 2026-05-28 11:01:07). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105000489375&origin=inward
Wijayanti, Y. (2025). Enhancing Students’ Cultural Identity Through History Education Based on Local Wisdom of Kagaluhan Values. Educational Process International Journal, 14(Query date: 2026-05-28 11:01:07). https://doi.org/10.22521/edupij.2025.14.75
Wolhuter, C. C. (2022). Currents and counter-currents in the question of the language of learning and teaching: An international and a South African perspective. Tydskrif Vir Geesteswetenskappe, 62(4), 715–742. https://doi.org/10.17159/2224-7912/2022/v62n4a7
Xiao, D. (2022). CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parsers. Findings of the Association for Computational Linguistics Emnlp 2022, (Query date: 2026-05-28 11:01:07), 2055–2068. https://doi.org/10.18653/v1/2022.findings-emnlp.374
Xiao, R. (2023). Deep reinforcement learning-driven smart and dynamic mass personalization. Procedia CIRP, 119(Query date: 2026-05-28 11:01:07), 97–102. https://doi.org/10.1016/j.procir.2023.04.004
Zhang, X. (2024). Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning. Advances in Neural Information Processing Systems, 37(Query date: 2026-05-28 11:01:07). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105000514005&origin=inward
Zulkarnain. (2025). Curriculum-Level Innovation in History Education: Developing a Technology-Integrated and Contextually Adaptive Model for Senior High Schools in Indonesia. Journal of Curriculum and Teaching, 14(3), 191–212. https://doi.org/10.5430/jct.v14n3p191
Zuo, S. (2023). Context-Aware Query Rewriting for Improving Users’ Search Experience on E-commerce Websites. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 5(Query date: 2026-05-28 11:01:07), 616–628. https://doi.org/10.18653/v1/2023.acl-industry.59