Journal of Technologies Information and Communication

Journal of Technologies Information and Communication, 2025 - Volume 5 Issue 1, Article No: 35953
https://doi.org/10.55267/rtic/16674

Published Online: 29 Jul 2025

Views: 34 | Downloads: 27

Computational learning systems are configured as digital platforms, specialized tools, or systematized methodologies aimed at facilitating, organizing, and optimizing educational processes in virtual environments. Learning Content Management Systems (LCMS) focus on the creation, structuring, storage, and reuse of learning objects, enabling educators to develop personalized, modular, and scalable instructional materials. In turn, Learning Management Systems (LMS) are designed to operationalize the administration of the teaching and learning process, encompassing functionalities such as enrollment management, content delivery, student performance tracking, and assessment implementation. In this context, the present study qualitative in nature and based on an empirical- descriptive approach proposes a comparative analysis between LCMS and LMS, considering technical and pedagogical features, operational limitations, and contributions to the consolidation of innovative practices in higher education, specifically within the undergraduate programs in Computing Education and Software Engineering at the University of Pernambuco – Garanhuns Campus.

Online Education Content Management System Learning Management System Innovation

• Aquino, C. D. (2019). De Bergman a Siemens. Requisitos para o Desenvolvimento da Sala de Aula Invertida. Munich: Grin Verlag.
• Afonso, J. M. (2010). Content Management for E-Learning. New York: Springer New York.
• Chaw, L. Y., & Tang, C. M. (2018). What makes learning management systems effective for learning? Journal of Educational Technology Systems, v. 47, n.2, p.152-169, 2018.
• Foreman, D. S. (2017). The LMS Guidebook Learning Management Systems Demystified. US: Association for Talent Development.
• Katz, Y. (2010). Learning Management System Technologies and Software Solutions for Online Teaching. New York: Information Science Reference.
• Katz, Y. (2013). Learning Management Systems and Instructional Design. Best Practices in Online Education. Hershey: IGI Global.
• Khaldi, M. (2023). Technological Tools for Innovative Teaching. Hershey: IGI Global.
• Macfadyen, L., & Dawson, S. (2010). Mining LMS data to develop an ‘‘early warning system” for educators: a proof of concept. Computers & Education, v. 54, n. 2, p. 588-599.
• McMaster, M. C. (2007). HPLC A Practical User’s Guide, 2th Ed., New Jersey: John Wiley & Sons Inc.
• McMaster, M. C. (2005). LC/MS: A Practical User's Guide. Londres: John Wiley & Sons, Inc.
• Martín, F. J. A., Bocanegra, C. L. S., & Navarro, J. M. M. (2006). LCMS Learning Content Manager System. Portales e-learning Open Source. Sevilla: Tecnicamp.
• Oliveira, P. C., Cunha, C. J. C. A., & Nakayama M. K. (2016). Learning management systems (lms) and e-learning management: an integrative review and research agenda. JISTEM J.Inf.Syst. Technol. Manag., vol. 13, n. 2, p. 157-180.
• Ouadoud, M., & Chkouri, M. Y. (2021). Modeling and Prototyping New Smart Learning Management Systems. Hershey: IGI Global.
• Rocci Júnior, M. L., & Lowes, S. (2017). Regulated Bioanalysis: Fundamentals and Practice. London: Springer International Publishing.
• Teixeira, M. M. (2024). Personal Learning Envirnment. BOCC - Biblioteca Online de Ciências da Comunicação, v. 1, p. 1-10.
• Teixeira, M. M. (2013). Da educação à distância às plataformas de e-learning: sistemas alternativos de educação mediada. Munique: Grin Verlag

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