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http://repository.afs.edu.gr/handle/6000/574
Τίτλος: | How digital teaching methodologies can influence agricultural education revitalization without losing the educational capital |
Συγγραφείς: | Stiglbrunner, Simone Ziegelback, Tanja Lehner, Victoria |
Επιβλέποντες: | Vergos, Evangelos |
Θέματα LC: | Artificial intelligence - Educational applications COVID-19 Pandemic, 2020- Experiential learning |
Λέξεις-Κλειδιά: | Artificial Intelligence (AI) Vocational education Experiential learning Educational capital |
Ημερομηνία Έκδοσης: | Μαΐ-2023 |
Εκδότης: | Perrotis College |
Επιτομή: | Artificial Intelligence (AI) technologies simulate human intelligence processes with the help of machines. Although AI began its presence approximately half a century ago, the recent Covid-19 pandemic strengthened its presence in economy, technology and sciences, prescribing a great future for it. In the case of applications in the educational field, AI finds high grounds for adaptation and development. For example, AI has the capacity to assist teachers considerably. In particular, it can help them adapt lessons in real-time to suit students’ needs, optimize the learning environment, improve communication, and enhance the efficiency and quality of lesson planning. However, the rules governing experiential learning create debates among the main stakeholders, teachers, students and parents, as it relates to the value of preserving educational capital, human emotions, ethics, and the socialization of the individual. In addition to hands on element, schooling is also a vehicle for the socialization of the individual. To that end and in reference to vocational education, skill learning and its combination with relevant scientific knowledge lead to the view that experiential learning is irreplaceable, and according to current level of technology, AI can only be used adjunctively, filling the gap possibly left by learning methodologies for the holistic education of the individual. Regardless of how well AI machines respond, it is unlikely that humans will ever develop such a strong emotional connection with these machines. Hence, AI cannot yet replace humans, especially as connecting with others that is vital for business growth. |
Περιγραφή: | This paper is the outcome of a project conducted at Perrotis College during Spring Semester 2023, by the three Austrian Erasmus+ Students (Simone Stiglbrunner, Tanja Ziegelback, and Victoria Lehner), with the coordination and supervision of Dr. Evangelos Vergos. |
Έκταση: | 16 pages |
Τύπος: | Other |
Κατάσταση Δημοσίευσης: | Not published |
URI: | http://repository.afs.edu.gr/handle/6000/574 |
Δικαιώματα: | All rights reserved Attribution-NonCommercial-NoDerivatives 4.0 International |
Γλώσσα: | en |
Εμφανίζεται στις Συλλογές: | Πρότζεκτ |
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