نوع مقاله : مقاله پژوهشی
نویسندگان
گروه مدیریت و کارآفرینی، دانشکده اقتصاد و حسابداری، دانشگاه رازی، کرمانشاه، ایران.
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The aim of this research was to explore the barriers and solutions to using new technologies based on artificial intelligence in entrepreneurship education. The research was conducted using a mixed method (Delphi-Fuzzy). The population included faculty members, instructors, and experts with experience in using artificial intelligence in entrepreneurship education. Purposeful snowball sampling was used for the Delphi panel. In the qualitative part, data saturation was obtained by interviewing 15 people, and in the quantitative part, a questionnaire was provided to the same people to prioritize solutions. Data analysis was performed in the qualitative part with three-stage coding and in the quantitative part with fuzzy method and SPSS20 and Excel13 software. In the open code, 51 concepts were identified, which were classified in the communication code into 10 categories including infrastructure, politics and governance, educators and educational services, economy and financial services, marketing and sales, laws and regulations, culture and society, management of learners and users, content and simulation. Then, the research model was presented in selective coding. In the quantitative section, the 51 solutions identified in the previous stage were classified into 10 categories and prioritized as follows: Policy and Governance (0.676), Trainers and Educational Facilitators (0.661), Economy and Financing (0.648), Marketing and Sales (0.645), Laws and Regulations (0.641), Infrastructure (0.639), Culture and Society (0.636), Management (0.614), Learners and Users (0.592), and Content and Simulation (0.585).
کلیدواژهها [English]
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