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Attitudes of Agricultural Extension Workers Towards the Concept of Artificial Intelligence Technologies in Some Iraqi Provinces
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Attitudes of Agricultural Extension Workers Towards the Concept of Artificial Intelligence Technologies in Some Iraqi Provinces
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Journal Article
Attitudes of Agricultural Extension Workers Towards the Concept of Artificial Intelligence Technologies in Some Iraqi Provinces
2025
Overview
The study aims to attitudes of agricultural extension workers towards the concept of artificial intelligence technologies in some Iraqi provinces, and to determine the significance of the relationship between Agricultural Extension Workers’ Attitudes Towards the Concept of Artificial Intelligence Technologies in Some Iraqi Provinces and each of the following independent factors (age, gender, and length of service). The research simple included agricultural extension workers in some Iraqi governorates, namely: (Baghdad, Diyala, Babylon, Salah al-Din, Anbar), and their number reached (370) employees and were officially registered. A simple random sample was drawn at a rate of (40%) of the total number of employees from those governorates, thus the total sample size for the study reached (148) respondents. The questionnaire was used to collect data from the respondents. The questionnaire consisted of (24) paragraphs, with two areas: the first was the adoption of (AI) technology, and the second was the concept of (AI) technology. The three-point Likert scale was used, and the scale value ranged from (24-72) degrees. To ensure stability, a survey sample was chosen from the research community outside the sample, and their number reached (30). The Cronbach’s alpha equation was used, and its value reached (0.899). The data was collected by personal interview in End of August 2025. The SPSS program was used to analyze the data, using some statistical methods. The research results showed that agricultural extension workers’ attitudes toward the concept of (AI) technology in some Iraqi governorates were negative. This indicates the weakness of data and information on (AI) technology, as well as the lack of infrastructure for this technology, the scarcity of specialists, and the lack of trust among agricultural extension workers in (AI) technology. The research recommended the need to increase trust in human-machine collaboration to contribute to raising the efficiency of agricultural extension workers. She also recommended the need to encourage agricultural extension workers to use modern technology through artificial intelligence, given their lack of confidence in it.
Publisher
IOP Publishing
