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The Effectiveness of Online Flipped Learning Using the UTAUT Model for Outstanding Students in Jordan

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Artificial Intelligence, Internet of Things, and Society 5.0

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1113))

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Abstract

This study explores the effectiveness of online flipped learning for outstanding students in Jordan. It examines the factors influencing students’ acceptance and use of technology, such as performance expectancy, effort expectancy, social influence, and facilitating conditions. The findings show a positive relationship between these factors and students’ intention to utilize e-flipped learning, highlighting the efficacy of this approach for outstanding students in Jordan. The proposed model can guide the development of online flipped learning systems tailored to the needs of outstanding students.

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Author information

Authors and Affiliations

  1. Education College, Zarqa University, Zarqa, Jordan

    Ali Ratib Alawamreh, Nayel Musallam Ramadneh & Abdallah Al-Majali

  2. Jadara University, Irbid, Jordan

    Abdallah Mishael Obeidat & Ahmad Rasheed Ali Al fares

  3. Al-Zaytoonah University, Amman, Jordan

    Mahmoud Jamil Abdallah Alsalti

  4. University of Business and Technology, Jeddah, Saudi Arabia

    Ghadah Nasseif

Authors
  1. Ali Ratib Alawamreh
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  2. Abdallah Mishael Obeidat
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  3. Mahmoud Jamil Abdallah Alsalti
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  4. Nayel Musallam Ramadneh
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  5. Abdallah Al-Majali
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  6. Ahmad Rasheed Ali Al fares
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  7. Ghadah Nasseif
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Corresponding author

Correspondence to Ghadah Nasseif .

Editor information

Editors and Affiliations

  1. American University in the Emirates, Dubai, United Arab Emirates

    Azzam Hannoon

  2. Integrated Development Academy for Training and Consultations, Amman, Jordan

    Abdullah Mahmood

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Alawamreh, A.R. et al. (2023). The Effectiveness of Online Flipped Learning Using the UTAUT Model for Outstanding Students in Jordan. In: Hannoon, A., Mahmood, A. (eds) Artificial Intelligence, Internet of Things, and Society 5.0. Studies in Computational Intelligence, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-031-43300-9_33

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