Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students Article Swipe
Rita Roy
,
Mohammad Dawood Babakerkhell
,
Subhodeep Mukherjee
,
Debajyoti Pal
,
Suree Funilkul
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3225555
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3225555
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2022.3225555
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/09966560.pdf
- OA Status
- gold
- Cited By
- 94
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- 10
- OpenAlex ID
- https://openalex.org/W4312754549
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4312754549Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2022.3225555Digital Object Identifier
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Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the StudentsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
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Rita Roy, Mohammad Dawood Babakerkhell, Subhodeep Mukherjee, Debajyoti Pal, Suree FunilkulList of authors in order
- Landing page
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https://doi.org/10.1109/access.2022.3225555Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/09966560.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/09966560.pdfDirect OA link when available
- Concepts
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Robot, Computer science, Artificial intelligence, Human–computer interactionTop concepts (fields/topics) attached by OpenAlex
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94Total citation count in OpenAlex
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2025: 37, 2024: 40, 2023: 17Per-year citation counts (last 5 years)
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97Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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