Τέχνη, Τεχνολογία και Κοινότητα: Ενσωμάτωση AI για την αειφόρο προώθηση της Κρητικής Διατροφής


Δημοσιευμένα: Σεπ 4, 2024
Λέξεις-κλειδιά:
βιώσιμη ανάπτυξη, κοινοτική τέχνη, διατροφική εκπαίδευση, τεχνητή νοημοσύνη
Κωνσταντίνος Τρικάλης Κωνσταντίνος
Περίληψη

Η τεχνολογία προσφέρει δυνατότητες για την ανάπτυξη βιώσιμων λύσεων για την αντιμετώπιση των προκλήσεων που θέτει η περιβαλλοντική βιωσιμότητα. Ωστόσο, οι εκπαιδευτικοί συναντούν εμπόδια στην εκπαίδευση για την προώθηση της κρητικής διατροφής. Ο στόχος αυτής της μελέτης είναι να διερευνήσει τους τρόπους με τους οποίους η τεχνολογία τεχνητής νοημοσύνης (artificial intelligence AI) μπορεί να βελτιώσει την πρόσβαση στη δια βίου μάθηση και να διευκολύνει την κοινωνική κινητικότητα μέσω της εκπαίδευσης και της κατάρτισης. Για να επιτευχθεί αυτό, διερευνώνται βιώσιμες περιβαλλοντικές στρατηγικές που μπορούν να εφαρμοστούν μέσω της κοινοτικής εκπαίδευσης, χρησιμοποιώντας την τέχνη ως καθολική μορφή επικοινωνίας. Η μεθοδολογία που χρησιμοποιήθηκε αφορούσε τη χρήση πλεγμάτων ρεπερτορίου RGT σε ένα Γυμνάσιο στο Ηράκλειο, με έμφαση στην ανάλυση των εννοιών της απόλαυσης, της συμμετοχής και της ανάπτυξης δεξιοτήτων και γνώσεων στην κοινότητα. Οι συνεντεύξεις με μαθητές επιβεβαίωσαν την ικανότητα δημιουργίας μιας δυναμικής εκπαιδευτικής κοινότητας που μεταφέρει αποτελεσματικά τη γνώση και ενθαρρύνει τον προβληματισμό μεταξύ γονέων και εκπαιδευτικών.

Λεπτομέρειες άρθρου
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Αναφορές
Angelakis, G., Vecchio, Y., Lemonakis, C., Atsalakis, G., Zopounidis, C., & Mattas, K. (2023). Exploring the Behavioral Intentions of Food Tourists Who Visit Crete. Sustainability: Science Practice and Policy, 15(11), 8961. https://doi.org/10.3390/su15118961
Antón-Peset, A., Fernandez-Zamudio, M.-A., & Pina, T. (2021). Promoting Food Waste Reduction at Primary Schools. A Case Study. Sustainability: Science Practice and Policy, 13(2), 600. https://doi.org/10.3390/su13020600
Arceo-Vilas, A., Fernandez-Lozano, C., Pita, S., Pértega-Díaz, S., & Pazos, A. (2020). Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques. PeerJ. Computer Science, 6, e287. https://doi.org/10.7717/peerj-cs.287
Austin, E. W., Austin, B. W., Power, T. G., Parker, L., Kaiser, C. K., & Edwards, Z. (2022). Youth Perspectives on the Effects of a Family-centered Media Literacy Intervention to Encourage Healthier Eating. Health Communication, 1–14. https://doi.org/10.1080/10410236.2022.2160078
Beall, J. M., Boley, B. B., Landon, A. C., & Woosnam, K. M. (2020). What drives ecotourism: environmental values or symbolic conspicuous consumption? Journal of Sustainable Tourism, 29(8), 1215–1234. https://doi.org/10.1080/09669582.2020.1825458
Bibri, S. E., Alexandre, A., Sharifi, A., & Krogstie, J. (2023). Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review. Energy Informatics, 6(1), 9. https://doi.org/10.1186/s42162-023-00259-2
Catalani, C., & Minkler, M. (2010). Photovoice: a review of the literature in health and public health. Health Education & Behavior: The Official Publication of the Society for Public Health Education, 37(3), 424–451. https://doi.org/10.1177/1090198109342084
Chow, C. Y., Riantiningtyas, R. R., Kanstrup, M. B., Papavasileiou, M., Liem, G. D., & Olsen, A. (2020). Can games change childrentextquoterights eating behaviour? A review of gamification and serious games. Food Quality and Preference, 80, 103823. https://doi.org/10.1016/j.foodqual.2019.103823
Christopher Earley, P., & Ang, S. (2003). Cultural Intelligence: Individual Interactions Across Cultures. Stanford University Press. https://play.google.com/store/books/details?id=g0PSkiOT8ggC
Christou, C. D., & Tsoulfas, G. (2021). Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology. World Journal of Gastroenterology: WJG, 27(37), 6191–6223. https://doi.org/10.3748/wjg.v27.i37.6191
Clodoveo, M. L., Tarsitano, E., Sabbà, C., Gesualdo, L., & Corbo, F. (2021). Med-index: a food product labeling system to promote adherence to the mediterranean diet encouraging producers to make healthier and more sustainable food products. Italian Journal of Food Science: IJFS = Rivista Italiana Di Scienza Degli Alimenti, 33(4), 67–83. https://doi.org/10.15586/ijfs.v33i4.2127
Conati, C., Porayska-Pomsta, K., & Mavrikis, M. (2018). AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. In arXiv [cs.AI]. arXiv. http://arxiv.org/abs/1807.00154
Côté, M., & Lamarche, B. (2021). Artificial intelligence in nutrition research: perspectives on current and future applications. Applied Physiology, Nutrition, and Metabolism = Physiologie Appliquee, Nutrition et Metabolisme, 1–8. https://doi.org/10.1139/apnm-2021-0448
Cui, H., & Wang, F. (2017, October). Simulation on applying Gabor filtering method to direct laser absorption spectroscopy. 2017 IEEE International Conference on Imaging Systems and Techniques (IST). 2017 IEEE International Conference on Imaging Systems and Techniques (IST), Beijing. https://doi.org/10.1109/ist.2017.8261532
de Moraes Lopes, M. H. B., Ferreira, D. D., Ferreira, A. C. B. H., da Silva, G. R., Caetano, A. S., & Braz, V. N. (2020). Chapter 20 - Use of artificial intelligence in precision nutrition and fitness. In D. Barh (Ed.), Artificial Intelligence in Precision Health (pp. 465–496). Academic Press. https://doi.org/10.1016/B978-0-12-817133-2.00020-3
Doherty, A., Wall, A., & Khaldi, N. (2020). Using artificial intelligence to reduce global healthcare costs through discovery and development of nutritional interventions. International Journal of Nursing Didactics, 10(09), 01–05. https://doi.org/10.15520/ijnd.v10i09.3082
Fanea-Ivanovici, M. (2018). Culture as a Prerequisite for Sustainable Development. An Investigation into the Process of Cultural Content Digitisation in Romania. Sustainability: Science Practice and Policy, 10(6), 1859. https://doi.org/10.3390/su10061859
Fang, B., Yu, J., Chen, Z., Osman, A. I., Farghali, M., Ihara, I., Hamza, E. H., Rooney, D. W., & Yap, P.-S. (2023). Artificial intelligence for waste management in smart cities: a review. Environmental Chemistry Letters, 1–31. https://doi.org/10.1007/s10311-023-01604-3
Flogie, A., & Aberšek, B. (2022). Artificial Intelligence in Education. In Active Learning - Theory and Practice. IntechOpen. https://doi.org/10.5772/intechopen.96498
Florea, A. M., & Radu, S. (2019). Artificial Intelligence and Education. 2019 22nd International Conference on Control Systems and Computer Science (CSCS), 381–382. https://doi.org/10.1109/CSCS.2019.00069
Gardner, G., Burton, W., Sinclair, M., & Bryant, M. (2023). Interventions to Strengthen Environmental Sustainability of School Food Systems: Narrative Scoping Review. International Journal of Environmental Research and Public Health, 20(11), 5916. https://doi.org/10.3390/ijerph20115916
Geissdoerfer, M., Savaget, P., Bocken, N. M. P., & Hultink, E. J. (2017). The Circular Economy – A new sustainability paradigm? Journal of Cleaner Production, 143, 757–768. https://doi.org/10.1016/j.jclepro.2016.12.048
Goel, A. K. (2017). AI education for the world. AI Magazine, 38(2), 3–4. https://doi.org/10.1609/aimag.v38i2.2740
Gonzalez-Ramirez, M., Cejudo-Lopez, A., Lozano-Navarrete, M., Salamero Sánchez-Gabriel, E., Torres-Bengoa, M. A., Segura-Balbuena, M., Sanchez-Cordero, M. J., Barroso-Vazquez, M., Perez-Barba, F. J., Troncoso, A. M., Garcia-Parrilla, M. C., & Cerezo, A. B. (2022). SAlBi educa (Tailored Nutrition App for Improving Dietary Habits): Initial Evaluation of Usability. Frontiers in Nutrition, 9, 782430. https://doi.org/10.3389/fnut.2022.782430
Goodkind, J. R., Gorman, B., Hess, J. M., Parker, D. P., & Hough, R. L. (2015). Reconsidering culturally competent approaches to American Indian healing and well-being. Qualitative Health Research, 25(4), 486–499. https://doi.org/10.1177/1049732314551056
Guiné, R. de P. F., Pato, M. L. de J., Costa, C. A. da, Costa, D. de V. T. A. da, Silva, P. B. C. da, & Martinho, V. J. P. D. (2021). Food Security and Sustainability: Discussing the Four Pillars to Encompass Other Dimensions. Foods (Basel, Switzerland), 10(11). https://doi.org/10.3390/foods10112732
Hu, Y., Jacob, J., Parker, G. J. M., Hawkes, D. J., Hurst, J. R., & Stoyanov, D. (2020). The challenges of deploying artificial intelligence models in a rapidly evolving pandemic. Nature Machine Intelligence, 2(6), 298–300. https://doi.org/10.1038/s42256-020-0185-2
Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
Jeong, E., Lee, T., Brown, A. D., Choi, S., & Son, M. (2021). Does a National Park Enhance the Environment-Friendliness of Tourists as an Ecotourism Destination? International Journal of Environmental Research and Public Health, 18(16), 8321. https://doi.org/10.3390/ijerph18168321
Kafatos, I., Manios, Y., Moschandreas, J., Kafatos, A., & Preventive Medicine and Nutrition Clinic University of Crete Research Team. (2007). Health and nutrition education program in primary schools of Crete: changes in blood pressure over 10 years. European Journal of Clinical Nutrition, 61(7), 837–845. https://doi.org/10.1038/sj.ejcn.1602584
Karpouzis, K., & Tsatiris, G. (2021). AI in (and for) Games. In arXiv [cs.AI]. arXiv. https://doi.org/10.48550/ARXIV.2105.03123
Krämer, F. (2018). Educational AI: A Critical Exploration of Layers of Production and Productivity. Digital Culture & Society, 4(1), 67–86. https://doi.org/10.14361/dcs-2018-0106
Lalchandani, N. K., Poirier, B., Crabb, S., Miller, C., & Hume, C. (2023). School lunchboxes as an opportunity for health and environmental considerations: a scoping review. Health Promotion International, 38(1). https://doi.org/10.1093/heapro/daac201
Lapele, F., Kartowagiran, B., Haryanto, H., & Prihono, E. W. (2022). Heutagogy: The most holistic approach utilizing technology in learning. Advances in Social Science, Education and Humanities Research. 5th International Conference on Current Issues in Education (ICCIE 2021), Yogyakarta, Indonesia. https://doi.org/10.2991/assehr.k.220129.028
Linzalone, R., & Lerro, A. (2021). Managing positional innovation in small food enterprises. The bakery industry. Measuring Business Excellence, 25(4), 509–526. https://doi.org/10.1108/MBE-10-2020-0141
Maher, C. A., Davis, C. R., Curtis, R. G., Short, C. E., & Murphy, K. J. (2020). A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study. JMIR mHealth and uHealth, 8(7), e17558. https://doi.org/10.2196/17558
Malik, N., & Solanki, A. (2021). Simulation of human brain. In Impact of AI Technologies on Teaching, Learning, and Research in Higher Education (pp. 150–160). IGI Global. https://doi.org/10.4018/978-1-7998-4763-2.ch009
Martínez, L. M.-C., Mollá-Bauzá, M. B., & Mora, A. G. (2020). A consumer behaviour approach to analyse the sustainability of food purchasing. Economía Agraria Y Recursos Naturales - Agricultural and Resource Economics, 20(2), 73–93. https://doi.org/10.7201/earn.2020.02.04.
Mellor, D. (2019). “Is there a perfect diet for me, and if it exists would I like it?” [Review of “Is there a perfect diet for me, and if it exists would I like it?”]. Nutrition and Health, 25(3), 165–166. https://doi.org/10.1177/0260106019874937
Nahavandi, D., Alizadehsani, R., Khosravi, A., & Acharya, U. R. (2022). Application of artificial intelligence in wearable devices: Opportunities and challenges. Computer Methods and Programs in Biomedicine, 213, 106541. https://doi.org/10.1016/j.cmpb.2021.106541
Neller, T. W. (2017). AI education: open-access educational resources on AI. AI Matters, 3(1), 12–13. https://doi.org/10.1145/3054837.3054841
Ögel Aydın, S., & Argan, M. (2021). Understanding how gamification influences consumerstextquoteright dietary preferences. Journal of Social Marketing, 11(2), 82–123. https://doi.org/10.1108/jsocm-09-2019-0137
Oliveira Chaves, L., Gomes Domingos, A. L., Louzada Fernandes, D., Ribeiro Cerqueira, F., Siqueira-Batista, R., & Bressan, J. (2023). Applicability of machine learning techniques in food intake assessment: A systematic review. Critical Reviews in Food Science and Nutrition, 63(7), 902–919. https://doi.org/10.1080/10408398.2021.1956425
Patte, K. A., Cole, A., Qian, W., Magier, M., Vine, M., & Leatherdale, S. T. (2020). Are closed campus policies associated with youth eating behaviours? In Research Square. https://doi.org/10.21203/rs.3.rs-36470/v1
Perez-Ortiz, M., Novak, E., Bulathwela, S., & Shawe-Taylor, J. (2021). An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All. In arXiv [cs.CY]. arXiv. http://arxiv.org/abs/2112.01242
Smith, C., Goss, H. R., Issartel, J., & Belton, S. (2021). Health Literacy in Schools? A Systematic Review of Health-Related Interventions Aimed at Disadvantaged Adolescents. Children, 8(3), 176. https://doi.org/10.3390/children8030176
Vine, M. M., Vermeer, J., Romano, L., Harrington, D. W., Butler, A. E., Patte, K. A., Godin, K. M., & Leatherdale, S. T. (2021). Secondary School Nutrition Policy Compliance in Ontario and Alberta, Canada: A Follow-Up Study Examining Vending Machine Data from the COMPASS Study. International Journal of Environmental Research and Public Health, 18(7). https://doi.org/10.3390/ijerph18073817
Wang, Y., & Wang, X. (2021). Research on the framework of traditional culture innovation system based on artificial intelligence. Journal of Intelligent & Fuzzy Systems, 1–11. https://doi.org/10.3233/jifs-219145
Γκερμπεσιώτη, Γ., Τσιρούκης, Α., Κύδρος, Δ., & Μπλάνας, Γ. (2021). Κρίσιμοι παράγοντες ανάληψης περιβαλλοντικών δράσεων στα σχολεία. Περιβαλλοντική Εκπαίδευση για την Αειφορία, 3(2), 22–48. https://doi.org/10.12681/ees.26818