Sport Communication
Amir Hossein Labbaf; Mohsen Vahdani
Abstract
This qualitative study investigates artificial intelligence dimensions in the field of sports science. Semi-structured interviews were conducted with 23 experts active in the fields of media and communication, artificial intelligence, and sports science through targeted and snowball sampling. Conducting ...
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This qualitative study investigates artificial intelligence dimensions in the field of sports science. Semi-structured interviews were conducted with 23 experts active in the fields of media and communication, artificial intelligence, and sports science through targeted and snowball sampling. Conducting interviews continued until the data reached the theoretical saturation stage. The data extracted from the text of the interviews were analyzed using the theme analysis method. After analyzing and coding the data, three main themes including the opportunities of artificial intelligence in sports science (5 sub-themes and 23 concepts), the threats of artificial intelligence in sports science (6 sub-themes and 21 concepts) and the solutions of intelligence management synthetics were categorized in the field of sports science (8 sub-themes and 24 concepts). In total, the identified dimensions were categorized into 3 main themes, 19 sub-themes and 68 concepts. To empower professors, students, and university employees, it is suggested to hold artificial intelligence courses that include the functions and threats of this technology. In addition, the educational and research policies of universities should be reviewed based on the introduction of this technology.