How to cite this paper
Alhumaid, K & AAssali, M. (2023). Understanding the role of digital information in enhancing education in UAE: An investigation of the factors that drive continuous adoption.International Journal of Data and Network Science, 7(2), 513-522.
Refrences
Aburayya, A., & Salloum, S. A. (n.d.). The Effects of Subjective Norm on the Intention to Use Social Media Networks: An Exploratory Study Using PLS-SEM and Machine Learning Approach.
Agarwal, R., & Karahanna, E. (2000). Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694.
Al-Maroof, R. S., & Salloum, S. A. (2020). An Integrated model of continuous intention to use of google classroom. In Recent advances in intelligent systems and smart applications (pp. 311-335). Cham: Springer International Publishing.
Alghizzawi, M., Habes, M., & Salloum, S. A. (2020). The Relationship Between Digital Media and Marketing Medical Tourism Destinations in Jordan: Facebook Perspective. In Advances in Intelligent Systems and Computing (Vol. 1058). https://doi.org/10.1007/978-3-030-31129-2_40
Almaiah, M.A., Alhumaid, K., Aldhuhoori, A., Alnazzawi, N., Aburayya, A., Alfaisal, R., Salloum, S.A., Lutfi, A., Al Mulhem, A., Alkhdour, T., Awad, A.B., Shehab, R. (2022). Factors Affecting the Adoption of Digital Information Technologies in Higher Education: An Empirical Study. Electronics, 11(3572). https://doi.org/10.3390/electronics11213572
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., Lutfi, A., Alrawad, M., Al Mulhem, A., & Alkhdour, T. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics, 11(22), 3662.
Aydin, E., & Erol, S. (2021). The views of Turkish language teachers on distance education and digital literacy during covid-19 pandemic. International Journal of Education and Literacy Studies, 9(1), 60–71.
Barclay, D., Higgins, C., & Thompson, R. (1995). The Partial Least Squares (pls) Approach to Casual Modeling: Personal Computer Adoption Ans Use as an Illustration.
Börnert-Ringleb, M., Casale, G., & Hillenbrand, C. (2021). What predicts teachers’ use of digital learning in Germany? Examining the obstacles and conditions of digital learning in special education. European Journal of Special Needs Education, 36(1), 80–97. https://doi.org/10.1080/08856257.2021.1872847
Çetin, E. (2021). Digital storytelling in teacher education and its effect on the digital literacy of pre-service teachers. Thinking Skills and Creativity, 39, 100760.
Csikszentmihalyi, M. (1990). Literacy and intrinsic motivation. Daedalus, 115–140.
Davis, F. D. (1989a). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Davis, F. D. (1989b). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22.
Donkor, F. (2011). Assessment of learner acceptance and satisfaction with video-based instructional materials for teaching practical skills at a distance. International Review of Research in Open and Distributed Learning, 12(5), 74–92.
Dudhat, A., Santoso, N. P. L., Santoso, S., & Setiawati, R. (2021). Blockchain in Indonesia University: A Design Viewboard of Digital Technology Education. Aptisi Transactions on Technopreneurship (ATT), 3(1), 68–80.
Eichelberger, A., & Ngo, H. T. P. (2018). College students’ perception of an online course in special education. International Journal for Educational Media and Technology, 12(2).
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models With Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Goodhue, D. L., Lewis, W., & Thompson, R. (2012). Does PLS have adavantages for small sample size or non-normal data? MIS Quaterly.
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
He, T., Huang, Q., Yu, X., & Li, S. (2021). Exploring students’ digital informal learning: the roles of digital competence and DTPB factors. Behaviour & Information Technology, 40(13), 1406–1416.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Hsu, H.-C. K., Wang, C. V., & Levesque-Bristol, C. (2019). Reexamining the impact of self-determination theory on learning outcomes in the online learning environment. Education and Information Technologies, 24(3), 2159–2174.
Jeffrey, L., Hegarty, B., Kelly, O., Penman, M., Coburn, D., & McDonald, J. (2011). Developing digital information literacy in higher education: Obstacles and supports. Journal of Information Technology Education: Research, 10(1), 383–413.
Joosten, T., & Cusatis, R. (2020). Online learning readiness. American Journal of Distance Education, 34(3), 180–193.
Kabát, M. (2016). Teaching Metaverse. What and how to (not) teach using the medium of virtual reality. Edutainment, 1(1).
Kear, K., Donelan, H., & Williams, J. (2014). Using wikis for online group projects: Student and tutor perspectives. International Review of Research in Open and Distributed Learning, 15(4), 70–90.
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.
Kuo, Y.-C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50.
Labrecque, L. I., Vor Dem Esche, J., Mathwick, C., Novak, T. P., & Hofacker, C. F. (2013). Consumer power: Evolution in the digital age. Journal of Interactive Marketing, 27(4), 257–269.
Leshchenko, M. P., Kolomiiets, A. M., Iatsyshyn, A. V, Kovalenko, V. V, Dakal, A. V, & Radchenko, O. O. (2021). Development of informational and research competence of postgraduate and doctoral students in conditions of digital transformation of science and education. Journal of Physics: Conference Series, 1840(1), 12057.
Liljander, V., Gillberg, F., Gummerus, J., & Van Riel, A. (2006). Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer Services, 13(3), 177–191.
Liu, S.-H., Liao, H.-L., & Peng, C.-J. (2005). Applying the technology acceptance model and flow theory to online e-learning users’ acceptance behavior. E-Learning, 4(H6), H8.
Louro, L. C. (2009). METAVERSE-The Learning in the Immersive Worlds. SLACTIONS 2009, 142.
Monardo, G., Pavese, C., Giorgi, I., Godi, M., & Colombo, R. (2021). Evaluation of patient motivation and satisfaction during technology-assisted rehabilitation: an experiential review. Games for Health Journal, 10(1), 13–27.
Moreno-Morilla, C., Guzmán-Simón, F., & García-Jiménez, E. (2021). Digital and information literacy inside and outside Spanish primary education schools. Learning, Culture and Social Interaction, 28, 100455.
Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. In McGraw-Hill, New York. https://doi.org/10.1037/018882
Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.
Parasuraman, A., & Colby, C. L. (2001). Techno-ready marketing: How and why your customers adopt technology. Free Press New York.
Parasuraman, A., Edvardsson, B., & Gustafsson, A. (2004). The impact of national culture on technology readiness, adoption and use. QUIS 9, June 15-18, Karlstad, Sweden.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. https://doi.org/10.1177/1094670504271156
Peltier, J. W., Dahl, A. J., & Swan, E. L. (2020). Digital information flows across a B2C/C2C continuum and technological innovations in service ecosystems: A service-dominant logic perspective. Journal of Business Research, 121, 724–734.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
Qureshi, M. I., Khan, N., Raza, H., Imran, A., & Ismail, F. (2021). Digital Technologies in Education 4.0. Does it Enhance the Effectiveness of Learning? A Systematic Literature Review. International Journal of Interactive Mobile Technologies, 15(4).
Reigeluth, C. M. (1983). Instructional design theories and models: An overview of their current status. Routledge.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS.
Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & Management, 42(2), 317–327.
Salloum, S. A., & Shaalan, K. (2018). Adoption of E-Book for University Students. International Conference on Advanced Intelligent Systems and Informatics, 481–494.
Sapta, I., MUAFI, M., & SETINI, N. M. (2021). The role of technology, organizational culture, and job satisfaction in improving employee performance during the Covid-19 pandemic. The Journal of Asian Finance, Economics and Business, 8(1), 495–505.
Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Al-Rahmi, W. M. (2021). Information and communications technology used in higher education: An empirical study on digital learning as sustainability. Sustainability, 13(13), 7074.
Siddiq, F., Scherer, R., & Tondeur, J. (2016). Teachers’ emphasis on developing students’ digital information and communication skills (TEDDICS): A new construct in 21st century education. Computers & Education, 92, 1–14.
Teo, T., Luan, W. S., Thammetar, T., & Chattiwat, W. (2011). Assessing e-learning acceptance by university students in Thailand. Australasian Journal of Educational Technology, 27(8).
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5–40. https://doi.org/10.1037/0021-9010.90.4.710
Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: continuing the evolution. Journal of the Academy of Marketing Science, 36(1), 1–10.
Wahyuningsih, T., Oganda, F. P., & Anggraeni, M. (2021). Design and Implementation of Digital Education Resources Blockchain-Based Authentication System. Blockchain Frontier Technology, 1(01), 74–86.
Wang, Y., Wu, M., & Wang, H. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118.
Agarwal, R., & Karahanna, E. (2000). Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694.
Al-Maroof, R. S., & Salloum, S. A. (2020). An Integrated model of continuous intention to use of google classroom. In Recent advances in intelligent systems and smart applications (pp. 311-335). Cham: Springer International Publishing.
Alghizzawi, M., Habes, M., & Salloum, S. A. (2020). The Relationship Between Digital Media and Marketing Medical Tourism Destinations in Jordan: Facebook Perspective. In Advances in Intelligent Systems and Computing (Vol. 1058). https://doi.org/10.1007/978-3-030-31129-2_40
Almaiah, M.A., Alhumaid, K., Aldhuhoori, A., Alnazzawi, N., Aburayya, A., Alfaisal, R., Salloum, S.A., Lutfi, A., Al Mulhem, A., Alkhdour, T., Awad, A.B., Shehab, R. (2022). Factors Affecting the Adoption of Digital Information Technologies in Higher Education: An Empirical Study. Electronics, 11(3572). https://doi.org/10.3390/electronics11213572
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., Lutfi, A., Alrawad, M., Al Mulhem, A., & Alkhdour, T. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics, 11(22), 3662.
Aydin, E., & Erol, S. (2021). The views of Turkish language teachers on distance education and digital literacy during covid-19 pandemic. International Journal of Education and Literacy Studies, 9(1), 60–71.
Barclay, D., Higgins, C., & Thompson, R. (1995). The Partial Least Squares (pls) Approach to Casual Modeling: Personal Computer Adoption Ans Use as an Illustration.
Börnert-Ringleb, M., Casale, G., & Hillenbrand, C. (2021). What predicts teachers’ use of digital learning in Germany? Examining the obstacles and conditions of digital learning in special education. European Journal of Special Needs Education, 36(1), 80–97. https://doi.org/10.1080/08856257.2021.1872847
Çetin, E. (2021). Digital storytelling in teacher education and its effect on the digital literacy of pre-service teachers. Thinking Skills and Creativity, 39, 100760.
Csikszentmihalyi, M. (1990). Literacy and intrinsic motivation. Daedalus, 115–140.
Davis, F. D. (1989a). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Davis, F. D. (1989b). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22.
Donkor, F. (2011). Assessment of learner acceptance and satisfaction with video-based instructional materials for teaching practical skills at a distance. International Review of Research in Open and Distributed Learning, 12(5), 74–92.
Dudhat, A., Santoso, N. P. L., Santoso, S., & Setiawati, R. (2021). Blockchain in Indonesia University: A Design Viewboard of Digital Technology Education. Aptisi Transactions on Technopreneurship (ATT), 3(1), 68–80.
Eichelberger, A., & Ngo, H. T. P. (2018). College students’ perception of an online course in special education. International Journal for Educational Media and Technology, 12(2).
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models With Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Goodhue, D. L., Lewis, W., & Thompson, R. (2012). Does PLS have adavantages for small sample size or non-normal data? MIS Quaterly.
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
He, T., Huang, Q., Yu, X., & Li, S. (2021). Exploring students’ digital informal learning: the roles of digital competence and DTPB factors. Behaviour & Information Technology, 40(13), 1406–1416.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Hsu, H.-C. K., Wang, C. V., & Levesque-Bristol, C. (2019). Reexamining the impact of self-determination theory on learning outcomes in the online learning environment. Education and Information Technologies, 24(3), 2159–2174.
Jeffrey, L., Hegarty, B., Kelly, O., Penman, M., Coburn, D., & McDonald, J. (2011). Developing digital information literacy in higher education: Obstacles and supports. Journal of Information Technology Education: Research, 10(1), 383–413.
Joosten, T., & Cusatis, R. (2020). Online learning readiness. American Journal of Distance Education, 34(3), 180–193.
Kabát, M. (2016). Teaching Metaverse. What and how to (not) teach using the medium of virtual reality. Edutainment, 1(1).
Kear, K., Donelan, H., & Williams, J. (2014). Using wikis for online group projects: Student and tutor perspectives. International Review of Research in Open and Distributed Learning, 15(4), 70–90.
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.
Kuo, Y.-C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50.
Labrecque, L. I., Vor Dem Esche, J., Mathwick, C., Novak, T. P., & Hofacker, C. F. (2013). Consumer power: Evolution in the digital age. Journal of Interactive Marketing, 27(4), 257–269.
Leshchenko, M. P., Kolomiiets, A. M., Iatsyshyn, A. V, Kovalenko, V. V, Dakal, A. V, & Radchenko, O. O. (2021). Development of informational and research competence of postgraduate and doctoral students in conditions of digital transformation of science and education. Journal of Physics: Conference Series, 1840(1), 12057.
Liljander, V., Gillberg, F., Gummerus, J., & Van Riel, A. (2006). Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer Services, 13(3), 177–191.
Liu, S.-H., Liao, H.-L., & Peng, C.-J. (2005). Applying the technology acceptance model and flow theory to online e-learning users’ acceptance behavior. E-Learning, 4(H6), H8.
Louro, L. C. (2009). METAVERSE-The Learning in the Immersive Worlds. SLACTIONS 2009, 142.
Monardo, G., Pavese, C., Giorgi, I., Godi, M., & Colombo, R. (2021). Evaluation of patient motivation and satisfaction during technology-assisted rehabilitation: an experiential review. Games for Health Journal, 10(1), 13–27.
Moreno-Morilla, C., Guzmán-Simón, F., & García-Jiménez, E. (2021). Digital and information literacy inside and outside Spanish primary education schools. Learning, Culture and Social Interaction, 28, 100455.
Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. In McGraw-Hill, New York. https://doi.org/10.1037/018882
Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.
Parasuraman, A., & Colby, C. L. (2001). Techno-ready marketing: How and why your customers adopt technology. Free Press New York.
Parasuraman, A., Edvardsson, B., & Gustafsson, A. (2004). The impact of national culture on technology readiness, adoption and use. QUIS 9, June 15-18, Karlstad, Sweden.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. https://doi.org/10.1177/1094670504271156
Peltier, J. W., Dahl, A. J., & Swan, E. L. (2020). Digital information flows across a B2C/C2C continuum and technological innovations in service ecosystems: A service-dominant logic perspective. Journal of Business Research, 121, 724–734.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
Qureshi, M. I., Khan, N., Raza, H., Imran, A., & Ismail, F. (2021). Digital Technologies in Education 4.0. Does it Enhance the Effectiveness of Learning? A Systematic Literature Review. International Journal of Interactive Mobile Technologies, 15(4).
Reigeluth, C. M. (1983). Instructional design theories and models: An overview of their current status. Routledge.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS.
Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & Management, 42(2), 317–327.
Salloum, S. A., & Shaalan, K. (2018). Adoption of E-Book for University Students. International Conference on Advanced Intelligent Systems and Informatics, 481–494.
Sapta, I., MUAFI, M., & SETINI, N. M. (2021). The role of technology, organizational culture, and job satisfaction in improving employee performance during the Covid-19 pandemic. The Journal of Asian Finance, Economics and Business, 8(1), 495–505.
Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Al-Rahmi, W. M. (2021). Information and communications technology used in higher education: An empirical study on digital learning as sustainability. Sustainability, 13(13), 7074.
Siddiq, F., Scherer, R., & Tondeur, J. (2016). Teachers’ emphasis on developing students’ digital information and communication skills (TEDDICS): A new construct in 21st century education. Computers & Education, 92, 1–14.
Teo, T., Luan, W. S., Thammetar, T., & Chattiwat, W. (2011). Assessing e-learning acceptance by university students in Thailand. Australasian Journal of Educational Technology, 27(8).
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5–40. https://doi.org/10.1037/0021-9010.90.4.710
Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: continuing the evolution. Journal of the Academy of Marketing Science, 36(1), 1–10.
Wahyuningsih, T., Oganda, F. P., & Anggraeni, M. (2021). Design and Implementation of Digital Education Resources Blockchain-Based Authentication System. Blockchain Frontier Technology, 1(01), 74–86.
Wang, Y., Wu, M., & Wang, H. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118.