Remote Sensing Course in Geography Online Education: A MOODLE Learning Materials Adaptation and Optimization Workflow
25th Italian Conference on Geomatics and Geospatial Technologies, ASITA 2022
; 1651 CCIS:126-138, 2022.
Article
in English
| Scopus | ID: covidwho-2128463
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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
25th Italian Conference on Geomatics and Geospatial Technologies, ASITA 2022
Year:
2022
Document Type:
Article
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