The adoption of artificial intelligence applications in education
Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2023-01-01
|
| Series: | International Journal of Data and Network Science |
| Online Access: | http://www.growingscience.com/ijds/Vol7/ijdns_2022_115.pdf |
| _version_ | 1811177728774242304 |
|---|---|
| author | Khadija Alhumaid Shamma Al Naqbi Deena Elsori Maha Al Mansoori |
| author_facet | Khadija Alhumaid Shamma Al Naqbi Deena Elsori Maha Al Mansoori |
| author_sort | Khadija Alhumaid |
| collection | DOAJ |
| description | Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export. |
| first_indexed | 2024-04-11T06:07:19Z |
| format | Article |
| id | doaj.art-2df661b1c4944cf4a1df48222feb8723 |
| institution | Directory Open Access Journal |
| issn | 2561-8148 2561-8156 |
| language | English |
| last_indexed | 2024-04-11T06:07:19Z |
| publishDate | 2023-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | International Journal of Data and Network Science |
| spelling | doaj.art-2df661b1c4944cf4a1df48222feb87232022-12-22T04:41:28ZengGrowing ScienceInternational Journal of Data and Network Science2561-81482561-81562023-01-017145746610.5267/j.ijdns.2022.8.013The adoption of artificial intelligence applications in educationKhadija AlhumaidShamma Al NaqbiDeena Elsori Maha Al Mansoori Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export.http://www.growingscience.com/ijds/Vol7/ijdns_2022_115.pdf |
| spellingShingle | Khadija Alhumaid Shamma Al Naqbi Deena Elsori Maha Al Mansoori The adoption of artificial intelligence applications in education International Journal of Data and Network Science |
| title | The adoption of artificial intelligence applications in education |
| title_full | The adoption of artificial intelligence applications in education |
| title_fullStr | The adoption of artificial intelligence applications in education |
| title_full_unstemmed | The adoption of artificial intelligence applications in education |
| title_short | The adoption of artificial intelligence applications in education |
| title_sort | adoption of artificial intelligence applications in education |
| url | http://www.growingscience.com/ijds/Vol7/ijdns_2022_115.pdf |
| work_keys_str_mv | AT khadijaalhumaid theadoptionofartificialintelligenceapplicationsineducation AT shammaalnaqbi theadoptionofartificialintelligenceapplicationsineducation AT deenaelsori theadoptionofartificialintelligenceapplicationsineducation AT mahaalmansoori theadoptionofartificialintelligenceapplicationsineducation AT khadijaalhumaid adoptionofartificialintelligenceapplicationsineducation AT shammaalnaqbi adoptionofartificialintelligenceapplicationsineducation AT deenaelsori adoptionofartificialintelligenceapplicationsineducation AT mahaalmansoori adoptionofartificialintelligenceapplicationsineducation |