دورية أكاديمية

Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students

التفاصيل البيبلوغرافية
العنوان: Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students
المؤلفون: Rita Roy, Mohammad Dawood Babakerkhell, Subhodeep Mukherjee, Debajyoti Pal, Suree Funilkul
المصدر: IEEE Access, Vol 10, Pp 125666-125678 (2022)
بيانات النشر: IEEE, 2022.
سنة النشر: 2022
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Artificial intelligence, robots, universities, intention, attitude, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Technology adoption is accepting, integrating, and using the latest innovative technologies in society. Artificial intelligence (AI) and robotics are changing the face of the industrial and service sectors. There is a need to change the traditional way of teaching by introducing the latest innovative methods. This study aims to measure the intention of adopting AI-based robots in the educational system of Indian universities. This study uses three theories technology acceptance model, the theory of planned behaviour, and the technology readiness index. Thirteen hypotheses are proposed for this study. The teachers and students survey Indian universities. This study also measures the users’ attitudes and the impact on their intention. Nine hypotheses got accepted, and four hypotheses got rejected. This study will benefit the university administration as they will understand the importance of AI-based robots and their applications. These will also be helpful in a way that the students and teachers both are in favours of the adoption process.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/9966560/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2022.3225555
URL الوصول: https://doaj.org/article/4c08c6a4db584401b58f4a1a7197f61a
رقم الأكسشن: edsdoj.4c08c6a4db584401b58f4a1a7197f61a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2022.3225555