TY - GEN
T1 - Perceived Usefulness and Satisfaction with Location Adaptive Smart Learning
AU - Alhalabi, Marah
AU - Alblooshi, Taherah
AU - Ba'Ba', Leen
AU - Sliman, Huda
AU - Khan, Esrat
AU - Yaghi, Maha
AU - Ghazal, Mohammed
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Technology has been increasingly important for current and future societies, becoming even more so as the decades pass. This research work presents an educational application with location adaptive smart mobile learning. The educational tool enhances the knowledge of the society about the monuments and landmarks of the country, enriching the experience of living. An inhabitant needs to enhance their knowledge about the magnificent landmarks available in their vicinity to establish a deep connection with people from that region. Using geofencing technology, we develop a framework that shows pertinent educational data based on the user's current location. The app enables data retrieval and integration using Google scrapers to incorporate the most relevant information from existing web pages. Moreover, we distribute a survey to determine whether the mobile application is beneficial, has pedagogical features, and is satisfactory to the UAE society based on the Technology Acceptance Model factors. After gathering the results, we analyze the alpha coefficient, the outcome of the reliability test. The proposed application achieved a Cronbach's alpha coefficient of 0.874; therefore, the internal consistency is good. The Department of Culture and Tourism can also adopt the smart application to integrate information that educates visitors and tourists.
AB - Technology has been increasingly important for current and future societies, becoming even more so as the decades pass. This research work presents an educational application with location adaptive smart mobile learning. The educational tool enhances the knowledge of the society about the monuments and landmarks of the country, enriching the experience of living. An inhabitant needs to enhance their knowledge about the magnificent landmarks available in their vicinity to establish a deep connection with people from that region. Using geofencing technology, we develop a framework that shows pertinent educational data based on the user's current location. The app enables data retrieval and integration using Google scrapers to incorporate the most relevant information from existing web pages. Moreover, we distribute a survey to determine whether the mobile application is beneficial, has pedagogical features, and is satisfactory to the UAE society based on the Technology Acceptance Model factors. After gathering the results, we analyze the alpha coefficient, the outcome of the reliability test. The proposed application achieved a Cronbach's alpha coefficient of 0.874; therefore, the internal consistency is good. The Department of Culture and Tourism can also adopt the smart application to integrate information that educates visitors and tourists.
KW - Geofencing
KW - Location-adaptive
KW - Mobile learning
KW - Perceived usefulness and satisfaction
KW - Technology Acceptance Model (TAM)
UR - https://www.scopus.com/pages/publications/85139041220
U2 - 10.1109/ICMI55296.2022.9873746
DO - 10.1109/ICMI55296.2022.9873746
M3 - Conference contribution
AN - SCOPUS:85139041220
T3 - 2022 2nd International Conference on Computing and Machine Intelligence, ICMI 2022 - Proceedings
BT - 2022 2nd International Conference on Computing and Machine Intelligence, ICMI 2022 - Proceedings
A2 - Marquez, Fausto Pedro Garcia
A2 - Jamil, Akhtar
A2 - Hameed, Alaa Ali
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Computing and Machine Intelligence, ICMI 2022
Y2 - 15 July 2022 through 16 July 2022
ER -