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An Intelligent Support System to Help Teachers Plan Field Trips

Authors :
Noemi Mauro
Liliana Ardissono
Federica Cena
Livio Scarpinati
Gianluca Torta
Source :
International Journal of Artificial Intelligence in Education. 2024 34(3):793-824.
Publication Year :
2024

Abstract

Field trips enrich learning programs with out-of-school activities that can bring gains in students' academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the mixed-initiative approach aimed at increasing teachers' autonomy and motivation in designing educational tours. The key aspects of our application are (i) the simultaneous provision of information filtering and automated scheduling support while the user designs the field trip, and (ii) the visual annotation of places and activities to show whether they can be included in the itinerary without violating its time constraints. Different from current tour planners, these functions enable the user to be in full control of the design process, delegating the system to manage difficult and burdensome tasks such as consistency checks and itinerary optimization. We evaluated FieldTripOrganizer in the use case of organizing a science field trip. In a preliminary user study involving 18 science teachers, our application turned up to be superior to a baseline tour planner in both usability and user experience. Moreover, the teachers declared that it was helpful, motivated them, and reduced their anxiety during the design of the field trips.

Details

Language :
English
ISSN :
1560-4292 and 1560-4306
Volume :
34
Issue :
3
Database :
ERIC
Journal :
International Journal of Artificial Intelligence in Education
Publication Type :
Academic Journal
Accession number :
EJ1446598
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1007/s40593-023-00366-x