Research Journal of Applied Sciences
ISSN: Online 1993-6079ISSN: Print 1815-932x
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Model of Artificial Intelligence System to Promote Learning About Rice Farming According to Philosophy of the Sufficiency Economy for Farmers in the Upper Northeast
Natirath Weeranakin, Orawan Raksong, Songkiet Charton, Pongpipat Saitong and Manit Asanok
Page: 350-357 | Received 21 Sep 2022, Published online: 21 Sep 2022
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Abstract
This research has the purpose of research to study and develop model of artificial intelligence system to promote learning about rice farming according to philosophy of the sufficiency economy for farmers in the Upper Northeast with 4 research steps as follows: analysis of artificial intelligence systems to promote learning about rice farming according to philosophy of the sufficiency economy for farmers in the Upper Northeast, synthesis of artificial intelligence systems to promote learning about rice farming according to philosophy of the sufficiency economy for farmers in the Upper Northeast, modeling artificial intelligence systems to promote learning about rice farming according to philosophy of the sufficiency economy for farmers in the Upper Northeast and testing of artificial intelligence systems to promote learning about rice farming according to philosophy of the sufficiency economy for farmers in the Upper Northeast. The sample used in the research was 512 people classified by research phase was the group used to study the needs, forms and content of the lesson program of artificial intelligence system to promote learning about rice farming according to philosophy of the sufficiency economy for farmers in the Upper Northeast include, farmers studying in office of the non-formal and informal education in the Upper Northeast area and farmers in the Upper Northeast success in rice according to philosophy of the sufficiency economy amount 5 people and expert group to inquire about opinions on the comprehensive system composition of 15 people, farmers participated in the project to transfer knowledge to 97 people. The tools used in the research consisted of, questionnaires for opinions on the needs of lesson programs, interview with successful farmers, rice farming in Thailand about the content of the lesson program, questionnaire of expert opinion on the composition of the system, models, learning plan, lesson program, learning achievement test and satisfaction assessment form. Statistics used in data analysis, the analysis uses the average and standard deviation. The results showed that artificial intelligence system to promote learning about rice farming according to philosophy of the sufficiency economy for farmers in the Upper Northeast consisting of inputs, processes, results and feedback. Which each part has elements and relationships as follows: context is informal education, there are 3 input factors: surveying problems and needs, exploring resources determining objectives. There are 4 processes in the process: production planning program lessons, creating a learning plan for the lesson program, production of lesson programs, finding effective programs, lessons and results is the transfer of knowledge and feedback to improve 1 system. The results of knowledge transfer revealed that farmers who participated in the project to transfer knowledge on rice farming according to philosophy of the sufficiency economy with a learning progress of 64.69%. And satisfaction with learning with the lesson program were at the highest level.
How to cite this article:
Natirath Weeranakin, Orawan Raksong, Songkiet Charton, Pongpipat Saitong and Manit Asanok. Model of Artificial Intelligence System to Promote Learning About Rice Farming According
to Philosophy of the Sufficiency Economy for Farmers in the Upper Northeast.
DOI: https://doi.org/10.36478/rjasci.2019.350.357
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2019.350.357