Rancang Bangun Model Blended Learning Interaktif Berbasis LMS untuk Pembelajaran Teknik

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Hansi Effendi
Is Prima Nanda

Abstract

Learning in the field of Engineering has unique characteristics that differentiate it from general education, particularly in the need to integrate theory with practice, solve project-based problems, and utilize technology to support simulations and experiments. With the advancement of digital learning technologies, Learning Management System (LMS)-based blended learning emerges as a promising approach to facilitate more interactive and flexible learning processes in Engineering education. However, blended learning models specifically designed to address the unique needs of engineering education remain limited. This study aims to design an interactive blended learning model based on LMS tailored to the characteristics of Engineering education. The model was developed using the ADDIE framework (Analysis, Design, Development, Implementation, Evaluation), with an emphasis on utilizing LMS features such as interactive modules, technical simulations, discussion forums, formative assessments, and project-based tasks. The model underwent validation by experts in engineering education and instructional technology to assess its relevance, practicality, and strengths. The findings reveal that the proposed blended learning model effectively meets the needs of Engineering education by integrating theory and practice in a digital environment. Expert validation yielded high scores for relevance and practicality, highlighting the model’s strengths in fostering interactivity while suggesting areas for further improvement. This article contributes by offering a technical guide for designing LMS-based blended learning models, serving as a foundation for more innovative and adaptive engineering education development in the future.

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References

[1] G. Tembrevilla, A. Phillion, and M. Zeadin, “Experiential learning in engineering education: A systematic literature review,” J. Eng. Educ., vol. 113, no. 1, pp. 195–218, 2024, doi: 10.1002/jee.20575.
[2] M. Mehta and N. Mehta, “Impact of Experiential Learning on Learning Outcomes Among Engineering Students Based on Kolb’s Model: A Netnography Study,” J. Eng. Educ. Transform., vol. 37, no. 2, pp. 51–59, 2023, doi: 10.16920/jeet/2023/v37i2/23149.
[3] O. Setiasih et al., “Development of a Design Learning Management System (Lms) To Improve Student Skills: Case Study in a Science Learning Media Development Course,” J. Eng. Sci. Technol., vol. 19, no. 4, pp. 1389–1400, 2024.
[4] K. G. Frigillana, N. T. Florencodia, and J. R. Aduna, “The Effectiveness of Blended Learning to General Engineering Students of Holy Angel University: Combining Traditional Instruction with Online Resources,” Eng. Technol. J., vol. 09, no. 05, pp. 4089–4099, 2024, doi: 10.47191/etj/v9i05.26.
[5] A. M. Nawwara, “Blended Learning Model as an Innovative Approach to Enhancing Educational Outcomes,” vol. 02, no. 02, pp. 66–73, 2024.
[6] V. Learning, “The Impact of Learning Management Systems on Student Engagement in Online Learning Environments,” 2024.
[7] R. Flores-Cáceres et al., “Evaluation of the learning management system and its relationship in the perception of engineering students,” Int. J. Eval. Res. Educ., vol. 11, no. 4, pp. 1760–1768, 2022, doi: 10.11591/ijere.v11i4.22696.
[8] S. Krishnamurthy, “Online teaching and learning experience at South African higher educational institution,” in Proceedings - Frontiers in Education Conference, FIE, 2021. doi: 10.1109/FIE49875.2021.9637219.
[9] T. T. A. Ngo, “Perception of Engineering Students on Social Constructivist Learning Approach in Classroom,” Int. J. Eng. Pedagog., vol. 14, no. 1, pp. 20–38, 2024, doi: 10.3991/ijep.v14i1.43101.
[10] O. Tsakiridis and P. Photopoulos, “Formative e-Assessment in Engineering Education,” Int. Conf. Comput. Support. Educ. CSEDU - Proc., vol. 2, no. Csedu, pp. 562–569, 2022, doi: 10.5220/0011116800003182.
[11] K. S. Sumardi, “Model Pembelajaran E-Learning (Lms) Untuk Meningkatkan Pemahaman Materi Termodinamika Teknik,” Invotec, vol. VII, no. 1, pp. 53–68, 2011.
[12] M. Mehrtash, “Adapting Experiential E-learning in Engineering Education with Industry 4.0 Vision,” in Lecture Notes in Networks and Systems, 2023, pp. 479–488. doi: 10.1007/978-3-031-26876-2_46.
[13] A. H. Behzadan, C. C. Menassa, and V. R. Kamat, “Georeferenced augmented reality for discovery-based learning in civil engineering,” in Transforming Engineering Education: Innovative Computer-Mediated Learning Technologies, 2018, pp. 199–228. doi: 10.1061/9780784414866.ch07.
[14] R. Z. Hauzel, T. Pattnaik, V. Ranjani, and S. P. Mandela, “Investigating Factors Contributing To Student Disengagement And Ownership In Learning: A Case Study Of Undergraduate Engineering Students,” J. Inf. Technol. Educ. Innov. Pract., vol. 23, pp. 1–20, 2024, doi: 10.28945/5336.
[15] E. Watson, L. F. Marin, L. N. White, R. Macciotta, and L. M. Lefsrud, “Blended Learning in an Upper Year Engineering Course: The Relationship between Students’ Program Year, Interactions with Online Material, and Academic Performance,” Can. J. Scholarsh. Teach. Learn., vol. 11, no. 3, 2020, doi: 10.5206/cjsotl-rcacea.2020.3.8270.
[16] I. Widiastuti and C. W. Budiyanto, “Applying an experiential learning cycle with the aid of finite element analysis in engineering education,” J. Turkish Sci. Educ., vol. 15, no. Special Issue, pp. 97–103, 2018, doi: 10.12973/tused.10261a.
[17] S. Wibowo, M. N. Wangid, and F. M. Firdaus, “The relevance of Vygotsky’s constructivism learning theory with the differentiated learning primary schools,” J. Educ. Learn., vol. 19, no. 1, pp. 431–440, 2025, doi: 10.11591/edulearn.v19i1.21197.
[18] S. Machwate, R. Bendaoud, D. Burgos, and K. Berrada, “Innovative Hybrid SPOC Model for Initial and Continuing Education at University,” in Lecture Notes in Networks and Systems, 2022, pp. 523–532. doi: 10.1007/978-3-031-04819-7_50.
[19] J. Engelbrecht and G. Oates, “Student collaboration in blending digital technology in the learning of mathematics,” in Handbook of Cognitive Mathematics, vol. 2–2, 2022, pp. 869–907. doi: 10.1007/978-3-031-03945-4_37.
[20] Y.-R. Juang, “WIRE: A highly interactive blended learning for engineering education,” in Web-Based Engineering Education: Critical Design and Effective Tools, 2010, pp. 149–159. doi: 10.4018/978-1-61520-659-9.ch011.
[21] B. Anthony Jnr, “Examining Blended Learning Adoption Towards Improving Learning Performance in Institutions of Higher Education,” Technol. Knowl. Learn., vol. 29, no. 3, pp. 1401–1435, 2024, doi: 10.1007/s10758-023-09712-3.
[22] T. Yu, J. Dai, and C. Wang, “Adoption of blended learning: Chinese university students’ perspectives,” Humanit. Soc. Sci. Commun., vol. 10, no. 1, 2023, doi: 10.1057/s41599-023-01904-7.
[23] N. A. Hidayah, Q. Aini, and P. Ghania, “Implementation of Blended Learning System in Higher Education to Explore the Interaction of Technology, Organization, Environment, and Technology Acceptance Model,” J. Appl. Data Sci., vol. 5, no. 2, pp. 491–507, 2024, doi: 10.47738/JADS.V5I2.204.
[24] H. Abuhassna et al., “Trends on Using the Technology Acceptance Model (TAM) for Online Learning: A Bibliometric and Content Analysis,” Int. J. Inf. Educ. Technol., vol. 13, no. 1, pp. 131–142, 2023, doi: 10.18178/ijiet.2023.13.1.1788.
[25] S. R. Virani, J. R. Saini, and S. Sharma, “Adoption of massive open online courses (MOOCs) for blended learning: the Indian educators’ perspective,” Interact. Learn. Environ., vol. 31, no. 2, pp. 1060–1076, 2023, doi: 10.1080/10494820.2020.1817760.
[26] B. Bonkoungou et al., “Online capacity building for the health workforce: the case of the Integrated Disease Surveillance and Response for the African region,” J. Public Health Africa, vol. 14, no. 12, 2023, doi: 10.4081/jphia.2023.2478.
[27] M. S. Sidhu, M. C. Low, and L. C. Kang, “Navigating engineering education amidst the post-pandemic era: Enhancing engineering education through blended learning with a flipped classroom approach,” in Instructional Technology Theory in the Post-Pandemic Era, 2024, pp. 198–230. doi: 10.4018/979-8-3693-7645-4.ch008.
[28] K. C. Vuu, J. R. Donald, K. M. Levere, and C. Farrow, “Enhancing Student Engagement with Introductory Engineering Ethics Using a Blended Approach of Microlearning and Case Studies,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2024. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202035658&partnerID=40&md5=5c25e360781f44a4481e6c1334764c99