Journals / Turkish Online Journal of Distance Education / 2019 / Cilt: 20 - Sayı: 3

Operational Indicators of the Learning Management System in Virtual Spaces Supported by ICT

Pages
103–118
Publication Date
2019-07-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The correct fulfillment of the layers above guarantees the achievement of both the student’s learning in the virtual course and the institution that offers virtual teaching through virtual learning platforms supported by ICT.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The paper presents the conceptual framework and operational indicators of the Learning Management System in virtual spaces supported by ICT.
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Key Findings & Data:The indicators presented in the article correspond to 153 indicators of the operational layer.
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Conclusion & Impact:The correct fulfillment of the layers above guarantees the achievement of both the student’s learning in the virtual course and the institution that offers virtual teaching through virtual learning platforms supported by ICT.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:LMS with ICT · operation-management-decision in eLearning · operative indicators

Abstract

The paper presents the conceptual framework and operational indicators of the Learning Management System in virtual spaces supported by ICT. The framework of the management system has three layers that are operational, management-operative, and management-decision. The conceptual foundation of the system is related to the Science of Education, the Science of Computing and the Science of Administration, and takes into account the representative model of the teaching-learning process of the student in virtual spaces supported by ICT. The dimensions, characteristics, variables, and indicators of the management system are assembled on the model in question. The indicators presented in the article correspond to 153 indicators of the operational layer. These were evaluated internationally with a confidence level of more than 90%. The operative indicators are contained in the dimensions of identification, academic, pedagogical-didactic, formative, of assessment of the virtual learning, and technological of the system of management of the virtual learning. The importance of the indicators presented ensures the success of the operational phase of the management system. Therefore, once the operation of the system is guaranteed, the success of the management-operative and management-decision layers of the system is assured. The correct fulfillment of the layers above guarantees the achievement of both the student’s learning in the virtual course and the institution that offers virtual teaching through virtual learning platforms supported by ICT.

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Cite This Article

CAPACHO, J., JIMENO, M., SALAZAR, A. (2019). Operational Indicators of the Learning Management System in Virtual Spaces Supported by ICT. Turkish Online Journal of Distance Education, Cilt: 20 - Sayı: 3, 103–118. https://ajindex.com/articles/141011

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References (9)

  1. Ahlstrand, B., Lampel, J., & Mintzberg, H. (2001). Strategy Safari: A Guided Tour Through The Wilds of Strategic Mangament. Simon and Schuster. Ahn, J., Tejwani, R., Sundararajan, S., Sipolins, A., O’Hara, S., Paul, A., … Huang, Y. (2018). Intelligent Virtual Reality Tutoring System Supporting Open Educational Resource Access. En International Conference on Intelligent Tutoring Systems (pp. 280-286).
  2. Springer. Aldridge, S. C., & Parker, M. L. (2018). Evaluating quality in fully online US university courses: a comparison of University of Maryland University College and Troy University. Revista Brasileira de Aprendizagem Aberta e a Distancia, 5. Asoodar, M., Vaezi, S., & Izanloo, B. (2016). Framework to improve e-learner satisfaction and further strengthen e-learning implementation. Computers in Human Behavior, 63, 704-716.
  3. Assami, S., Daoudi, N., & Ajhoun, R. (2018). Personalization criteria for enhancing learner engagement in MOOC platforms. En Global Engineering Education Conference (EDUCON), 2018 IEEE (pp. 1265-1272).
  4. IEEE. Aziz, S., Mahmood, M., & Bano, S. (2018). Total Quality Management: A Frame Work for Higher Education Institution. Journal of Research in Social Sciences, 6(1), 124-141.
  5. Basogain, X., Olabe, M. Á., Olabe, J. C., & Rico, M. J. (2018). Computational Thinking in pre-university Blended Learning classrooms. Computers in Human Behavior, 80, 412-419.
  6. Bergeron, M. Z., & Fornero, S. C. (2018). Centralized and Decentralized Approaches to Managing Online Programs. En Leading and Managing e-Learning (pp. 29-43).
  7. Springer. Blieck, Y., Ooghe, I., Zhu, C., Depryck, K., Struyven, K., Pynoo, B., & Van Laer, H. (2018). Consensus among stakeholders about success factors and indicators for quality of online and blended learning in adult education: a Delphi study. Studies in Continuing Education, 1-26.
  8. Bordoloi, R. (2018). Transforming and empowering higher education through Open and Distance Learning in India. Asian Association of Open Universities Journal. Bourdoucen, H. (2018). Human Factors Considerations in Mobile Learning Management Systems. En Interactive Mobile Communication Technologies and Learning: Proceedings of the 11th IMCL Conference (Vol. 725, p. 372). Springer. Capacho, J. (2015). Representative Model of the Learning Process in Virtual Spaces Supported by ICT. Turkish Online Journal of Distance Education, 15(4), 75-89.
  9. Capacho, J., Jimeno, M., & Salazar, A (2018). A model to assess efficiency in e-Training for Significant Learning (e-TSL)