Abstract
Learning management systems (LMS) have been evolving since the late 1990s as a category of specialized web-based software for educational content delivery and experience. LMS assumed pivotal importance in learning experiences due to the COVID-19 spread. In this software pool, MOODLE (Modular Object-Oriented Dynamic Learning Environment) is a seasoned open-source LMS framework that has been widely adopted by companies, schools, and the academic community. This work aims to set up the learning materials of the Remote Sensing course theoretical and practical modules of UNITO master’s degree in Geography and Territorial Sciences, on the LMS MOODLE and to adapt it considering the multi-disciplinary approach typical of the Geographic domain. Thanks to inherent LMS features and different plugins available on the platform, some analytical approaches originally optimized for face-to-face didactics, are re-developed to optimize the ingestion, classification, and delivery of learning materials through the LMS, to facilitate comprehension and access to such materials by students in the Remote sensing course.
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Di Carlo, G.A., Boccardo, P., Fissore, V. (2022). Remote Sensing Course in Geography Online Education: A MOODLE Learning Materials Adaptation and Optimization Workflow. In: Borgogno-Mondino, E., Zamperlin, P. (eds) Geomatics for Green and Digital Transition. ASITA 2022. Communications in Computer and Information Science, vol 1651. Springer, Cham. https://doi.org/10.1007/978-3-031-17439-1_9
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