Development of E-Learning Based Resource Economics Lecture Model in Facing Industrial Revolution 4.0

Nuraini Asriati


In facing the industrial revolution 4.0 where technology plays its role the most. It also affects the education field in which the optimization of the use of instructional media and the evaluation needs to be upgraded. This research aims at revealing the implementation of the instructional model of e-learning based resource economics lectures. This research uses a development method in which there are qualitative and quantitative analyses. the data were collected using observation and distribution of questionnaires to 39 students attending the learning process. The results showed that (1) The implementation of the instructional model of e-learning based resource economics lectures in facing the industrial revolution 4.0 has been effective because there is careful planning. In addition to being suitable for the learning objectives, it is also in accordance with the students’ needs. The success of e-learning is related to a consistent and integrated effort between lecturers, students, faculty, support staff, and administrators. (2) the use of e-learning as a medium for learning resources, delivery of material, and assignment of tasks in the learning process of Resource Economics is still less than optimal. It indicates that the existing facilities and infrastructure have not been well utilized by its users, either by students, lecturers, or other related parties. And (3) the results of the evaluation of the implementation of the instructional model have shown a good category, meaning that the e-learning instructional model applied in the lectures of resource economics for economics education students is good and meets the needs of the students and can increase students' motivation and understanding in learning as a basis for facing the era industrial revolution 4.0.


Development of Lecture Model; Resource Economics; E-Learning

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Al-Fraihat, D., Joy, M., & Sinclair, J. (2020). Evaluating e-learning systems success: An empirical study. Computers in Human Behavior, 102, 67-86.

Baby, A., & Kannammal, A. (2019). Network Path Analysis for developing an enhanced TAM model: a user-centric e-learning perspective. Computers in Human Behavior, 106081.

Barteit, S., Guzek, D., Jahn, A., Bärnighausen, T., Jorge, M. M., & Neuhann, F. (2020). Evaluation of e-learning for medical education in low-and middle-income countries: A systematic review. Computers & Education, 145, 103726.

Choudhury, S., & Pattnaik, S. (2020). Emerging themes in e-learning: A review from the stakeholders' perspective. Computers & Education, 144, 103657.

De Medio, C., Limongelli, C., Sciarrone, F., & Temperini, M. (2020). MoodleREC: A recommendation system for creating courses using the moodle e-learning platform. Computers in Human Behavior, 104, 106168.

Farhan, W., Razmak, J., Demers, S., & Laflamme, S. (2019). e-learning systems versus instructional communication tools: Developing and testing a new e-learning user interface from the perspectives of teachers and students. Technology in Society, 59, 101192.

George, G., & Lal, A. M. (2019). Review of ontology-based recommender systems in e-learning. Computers & Education, 142, 103642.

Imani, M., & Montazer, G. A. (2019). A survey of emotion recognition methods with emphasis on E-Learning environments. Journal of Network and Computer Applications, 102423.

Katsagoni, C. N., Apostolou, A., Georgoulis, M., Psarra, G., Bathrellou, E., Filippou, C., & Sidossis, L. S. (2019). Schoolteachers’ nutrition knowledge, beliefs, and attitudes before and after an e-learning program. Journal of nutrition education and behavior, 51(9), 1088-1098.

Lesort, T., Lomonaco, V., Stoian, A., Maltoni, D., Filliat, D., & Díaz-Rodríguez, N. (2020). Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Information Fusion, 58, 52-68.

Mayer, R. E. (2019). Searching for the role of emotions in e-learning. Learning and Instruction, 101213.

Oosthuizen, C. (2016). Entrepreneurial intelligence: expanding schwab’s four-type intelligence proposition to meaningfully address the challenges of the fourth industrial revolution. In Proceedings of the 28th Annual Conference of the Southern African Institute of Management Scientists, 370-383.

Rodrigues, H., Almeida, F., Figueiredo, V., & Lopes, S. L. (2019). Tracking e-learning through published papers: A systematic review. Computers & Education, 136, 87-98.

Schwab, K. (2015) The Fourth Industrial Revolution: What It Means and How to Respond. Foreign Affairs: сайт. https://www. foreign affairs. com/articles/2015-12-12/fourth-industrial-revolution (Accessed on September 15, 2019).

Shi, D., Wang, T., Xing, H., & Xu, H. (2020). A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning. Knowledge-Based Systems, 105618.

Sukmadinata, Nana Syaodih. (2009). Metode Penelitian Pendidikan. Bandung: Remaja Rosdakarya.

Syamsuri, S. (2019). Analisis Konsep Theory Of Planned Behavior Terhadap Pembelajaran Wirausaha Dan Pendidikan Ekonomi Keluarga Pelaku Umkm. Jurnal PROFIT Kajian Pendidikan Ekonomi dan Ilmu Ekonomi, 6(2), 101-113.

Tortorella, G. L., Vergara, A. M. C., Garza-Reyes, J. A., & Sawhney, R. (2020). Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers. International Journal of Production Economics, 219, 284-294.

Vanitha, V., Krishnan, P., & Elakkiya, R. (2019). Collaborative optimization algorithm for learning path construction in e-learning. Computers & Electrical Engineering, 77, 325-338.

Vodovar, D., Ricard, J. D., Zafrani, L., Weiss, E., Desrentes, E., & Roux, D. (2020). Évaluation d’un enseignement multimodal intégrant du e-learning dans l’apprentissage de la réanimation et de la médecine d’urgence au cours du second cycle des études médicales. La Revue de Médecine Interne.



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