How to cite this paper
AlHamad, M., Akour, I., Alshurideh, M., Al-Hamad, A., Kurdi, B & Alzoubi, H. (2021). Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM.International Journal of Data and Network Science, 5(3), 311-320.
Refrences
Adapa, A., Nah, F. F.-H., Hall, R. H., Siau, K., & Smith, S. N. (2018). Factors influencing the adoption of smart wearable devices. International Journal of Human–Computer Interaction, 34(5), 399–409.
Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach. JMIR Medical Education, 7(1), 1-17.
Al-Emran, M., Arpaci, I., & Salloum, S. A. (2020). An empirical examination of continuous intention to use m-learning: An integrated model. Education and Information Technologies, 25(4), 2899-2918. https://doi.org/10.1007/s10639-019-10094-2.
Al Hamad, A. Q. (2016, February). Students' perception of implementing a Smart Learning System (SLS) based on Moodle at Fujairah College. In 2016 13th International Conference on Remote Engineering and Virtual Instrumentation (REV) (pp. 315-318). IEEE.
AlHamad, A. Q. M. (2020). Acceptance of E-learning among university students in UAE: A practical study. International Journal of Electrical & Computer Engineering, 10(4), 3660-3671.
AlHamad, A. Q., & Al Qawasmi, K. I. (2014). Building an ethical framework for e-learning management system at a university level. Journal of Engineering and Economic Development, 1(1), 11.
Al Kurdi, B., Alshurideh, M., & Salloum, S. A. (2020). Investigating a theoretical framework for e-learning technology acceptance. International Journal of Electrical and Computer Engineering (IJECE), 10(6), 6484-6496.
Al-Maroof, R. S., Alshurideh, M. T., Salloum, S. A., AlHamad, A. Q. M., & Gaber, T. (2021, June). Acceptance of Google Meet during the spread of Coronavirus by Arab university students. In Informatics. 8(2), 1-17. Multidisciplinary Digital Publishing Institute.
Alomari, K. M., AlHamad, A. Q., & Salloum, S. (n.d.). Prediction of the Digital Game Rating Systems based on the ESRB.
Arpaci, I. (2019). A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education. Computers in Human Behavior, 90, 181–187.
Alshamsi, A., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020, October). The influence of service quality on customer retention: A systematic review in the higher education. In International Conference on Advanced Intelligent Systems and Informatics (pp. 404-416). Springer, Cham.
Alsharari, N. M., & Alshurideh, M. T. (2020). Student retention in higher education: the role of creativity, emotional intelligence and learner autonomy. International Journal of Educational Management, 35(1), 233-247.
Alshurideh, M., Al Kurdi, B., Salloum, S. A., Arpaci, I., & Al-Emran, M. (2020). Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms. Interactive Learning Environments, 1-15.
Alshurideh, M. T., Kurdi, B. A., AlHamad, A. Q., Salloum, S. A., Alkurdi, S., Dehghan, A., ... & Masa’deh, R. E. (2021, June). Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID 19 pandemic: an empirical study. In Informatics, 8(2), 1- 20. Multidisciplinary Digital Publishing Institute.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., Monem, A. A., & Shaalan, K. (2019). Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study. International Journal of Interactive Mobile Technologies, 13(11), 183-157
Berque, D. A., & Newman, J. T. (2015). GlassClass: Exploring the Design, Implementation, and Acceptance of Google Glass in the Classroom. International Conference on Virtual, Augmented and Mixed Reality, 243–250.
Bettayeb, H., Alshurideh, M. T., & Al Kurdi, B. (2020). The effectiveness of Mobile Learning in UAE Universities: A systematic review of Motivation, Self-efficacy, Usability and Usefulness. International Journal of Control and Automation, 13(2), 1558-1579.
Boykin, E. (2014). Google glass in the class: Wearable technology of the educational future. Retrieved January, 9, 2018.
Brewer, Z. E., Fann, H. C., Ogden, W. D., Burdon, T. A., & Sheikh, A. Y. (2016). Inheriting the learner’s view: a Google Glass-based wearable computing platform for improving surgical trainee performance. Journal of Surgical Education, 73(4), 682–688.
Burke, M. (5 C.E.). ways Google Glass can be used in education.
Calcagno, M. V, Barklund, P. J., Zhao, L., Azzam, S., Knoll, S. S., & Chang, S. (2007). Semantic analysis system for interpreting linguistic structures output by a natural language linguistic analysis system. Google Patents.
Cheng, Y.-M., Lou, S.-J., Kuo, S.-H., & Shih, R.-C. (2013). Investigating elementary school students’ technology acceptance by applying digital game-based learning to environmental education. Australasian Journal of Educational Technology, 29(1).
Dafoulas, G. A., Maia, C., & Loomes, M. (2016). Using Optical Head-Mounted Devices (OHMD) for provision of feedback in education. 2016 12th International Conference on Intelligent Environments (IE), 159–162.
Davis, F. D. (1989). 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, Fred 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.
Dehghani, M. (2016). An assessment towards adoption and diffusion of smart wearable technologies by consumers: the cases of smart watch and fitness wristband products. HT (Extended Proceedings), 1–6.
Dickey, R. M., Srikishen, N., Lipshultz, L. I., Spiess, P. E., Carrion, R. E., & Hakky, T. S. (2016). Augmented reality assisted surgery: a urologic training tool. Asian Journal of Andrology, 18(5), 732.
Drummond, H. (2008). The Icarus paradox: An analysis of a totally destructive system. Journal of Information Technology, 23(3), 176–184.
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
Frank, E., Hall, M., Holmes, G., Kirkby, R., Pfahringer, B., Witten, I. H., & Trigg, L. (2009). Weka-a machine learning workbench for data mining. In Data mining and knowledge discovery handbook (pp. 1269–1277). Springer.
Haesner, M., Wolf, S., Steinert, A., & Steinhagen-Thiessen, E. (2018). Touch interaction with Google Glass–Is it suitable for older adults? International Journal of Human-Computer Studies, 110, 12–20.
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.
Hansen, M. H. (1994). Trustworthiness as a source of competitive advantage. Strategic Management Journal, 15(8), 175–190.
He, J., McCarley, J. S., Crager, K., Jadliwala, M., Hua, L., & Huang, S. (2018). Does wearable device bring distraction closer to drivers? Comparing smartphones and Google Glass. Applied Ergonomics, 70, 156–166.
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.
Higgins, S., Xiao, Z., & Katsipataki, M. (2012). The impact of digital technology on learning: A summary for the education endowment foundation. Durham, UK: Education Endowment Foundation and Durham University.
Hsu, J.-Y., Chen, C.-C., & Ting, P.-F. (2018). Understanding MOOC continuance: An empirical examination of social support theory. Interactive Learning Environments, 26(8), 1100–1118.
Huang, J., Lin, Y., & Chuang, S. (2007). Elucidating user behavior of mobile learning. The Electronic Library.
Khlaisang, J., Teo, T., & Huang, F. (2019). Acceptance of a flipped smart application for learning: a study among Thai university students. Interactive Learning Environments, 1–18.
Kirkham, R., & Greenhalgh, C. (2015). Social access vs. privacy in wearable computing: a case study of autism. IEEE Pervasive Computing, 14(1), 26–33.
Knight, H. M., Gajendragadkar, P. R., & Bokhari, A. (2015). Wearable technology: using Google Glass as a teaching tool. Case Reports, 2015.
Kumar, N. M., Krishna, P. R., Pagadala, P. K., & Kumar, N. M. S. (2018). Use of smart glasses in education-a study. 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2018 2nd International Conference On, 56–59.
Kurdi, B. A., Alshurideh, M., Salloum, S. A., Obeidat, Z. M., & Al-dweeri, R. M. (2020). An empirical investigation into examination of factors influencing university students’ behavior towards elearning acceptance using SEM approach. International Journal of Interactive Mobile Technologies, 14(2). https://doi.org/10.3991/ijim.v14i02.11115
Larabi Marie-Sainte, S., Alrazgan, M. S., Bousbahi, F., Ghouzali, S., & Abdul, W. (2016). From mobile to wearable system: a wearable RFID system to enhance teaching and learning conditions. Mobile Information Systems, 2016.
Leo, S., Alsharari, N. M., Abbas, J., & Alshurideh, M. T. (2021). From Offline to Online Learning: A Qualitative Study of Challenges and Opportunities as a Response to the COVID-19 Pandemic in the UAE Higher Education Context. The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, 203-217.
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.
Liu, S.-H., Liao, H.-L., & Pratt, J. A. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52(3), 599–607.
Marakhimov, A., & Joo, J. (2017). Consumer adaptation and infusion of wearable devices for healthcare. Computers in Human Behavior, 76, 135–148.
Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory.
Park, Y. J., & Skoric, M. (2017). Personalized ad in your Google Glass? Wearable technology, hands-off data collection, and new policy imperative. Journal of Business Ethics, 142(1), 71–82.
Parslow, G. R. (2014). Commentary: Google glass: A head‐up display to facilitate teaching and learning. Biochemistry and Molecular Biology Education, 42(1), 91–92.
Rauschnabel, P. A., Brem, A., & Ivens, B. S. (2015). Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearables. Computers in Human Behavior, 49, 635–647.
Rauschnabel, P. A., He, J., & Ro, Y. K. (2018). Antecedents to the adoption of augmented reality smart glasses: A closer look at privacy risks. Journal of Business Research, 92, 374–384.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS.
Salamin, A.-D. (2014). Using Google Glass to enrich printed textbooks in a blended learning environment to meet digital natives’ expectations. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 1741–1748.
Salloum, S.A., & Shaalan, K. (2019). Adoption of E-Book for University Students. In Advances in Intelligent Systems and Computing (Vol. 845). https://doi.org/10.1007/978-3-319-99010-1_44
Salloum, Said A, Al-Emran, M., Habes, M., Alghizzawi, M., Ghani, M. A., & Shaalan, K. (2019). Understanding the Impact of Social Media Practices on E-Learning Systems Acceptance. International Conference on Advanced Intelligent Systems and Informatics, 360–369.
Salloum, Said A, Alshurideh, M., Elnagar, A., & Shaalan, K. (2020). Mining in Educational data: Review and Future Directions. Joint European-US Workshop on Applications of Invariance in Computer Vision, 92–102.
Sidiya, K., Alzanbagi, N., & Bensenouci, A. (2015). Google glass and Apple Watch will they become our learning tools? 2015 12th Learning and Technology Conference, 6–8.
Silva, M., Freitas, D., Neto, E., Lins, C., Teichrieb, V., & Teixeira, J. M. (2014). Glassist: using augmented reality on Google Glass as an aid to classroom management. 2014 XVI Symposium on Virtual and Augmented Reality, 37–44.
Woodside, J. M. (2015). Wearable technology acceptance model: Google Glass. Society for Information Technology & Teacher Education International Conference, 1800–1802.
Zarraonandia, T., Díaz, P., Montero, Á., Aedo, I., & Onorati, T. (2019). Using a Google Glass-based Classroom Feedback System to improve students to teacher communication. IEEE Access, 7, 16837–16846.
Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach. JMIR Medical Education, 7(1), 1-17.
Al-Emran, M., Arpaci, I., & Salloum, S. A. (2020). An empirical examination of continuous intention to use m-learning: An integrated model. Education and Information Technologies, 25(4), 2899-2918. https://doi.org/10.1007/s10639-019-10094-2.
Al Hamad, A. Q. (2016, February). Students' perception of implementing a Smart Learning System (SLS) based on Moodle at Fujairah College. In 2016 13th International Conference on Remote Engineering and Virtual Instrumentation (REV) (pp. 315-318). IEEE.
AlHamad, A. Q. M. (2020). Acceptance of E-learning among university students in UAE: A practical study. International Journal of Electrical & Computer Engineering, 10(4), 3660-3671.
AlHamad, A. Q., & Al Qawasmi, K. I. (2014). Building an ethical framework for e-learning management system at a university level. Journal of Engineering and Economic Development, 1(1), 11.
Al Kurdi, B., Alshurideh, M., & Salloum, S. A. (2020). Investigating a theoretical framework for e-learning technology acceptance. International Journal of Electrical and Computer Engineering (IJECE), 10(6), 6484-6496.
Al-Maroof, R. S., Alshurideh, M. T., Salloum, S. A., AlHamad, A. Q. M., & Gaber, T. (2021, June). Acceptance of Google Meet during the spread of Coronavirus by Arab university students. In Informatics. 8(2), 1-17. Multidisciplinary Digital Publishing Institute.
Alomari, K. M., AlHamad, A. Q., & Salloum, S. (n.d.). Prediction of the Digital Game Rating Systems based on the ESRB.
Arpaci, I. (2019). A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education. Computers in Human Behavior, 90, 181–187.
Alshamsi, A., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020, October). The influence of service quality on customer retention: A systematic review in the higher education. In International Conference on Advanced Intelligent Systems and Informatics (pp. 404-416). Springer, Cham.
Alsharari, N. M., & Alshurideh, M. T. (2020). Student retention in higher education: the role of creativity, emotional intelligence and learner autonomy. International Journal of Educational Management, 35(1), 233-247.
Alshurideh, M., Al Kurdi, B., Salloum, S. A., Arpaci, I., & Al-Emran, M. (2020). Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms. Interactive Learning Environments, 1-15.
Alshurideh, M. T., Kurdi, B. A., AlHamad, A. Q., Salloum, S. A., Alkurdi, S., Dehghan, A., ... & Masa’deh, R. E. (2021, June). Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID 19 pandemic: an empirical study. In Informatics, 8(2), 1- 20. Multidisciplinary Digital Publishing Institute.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., Monem, A. A., & Shaalan, K. (2019). Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study. International Journal of Interactive Mobile Technologies, 13(11), 183-157
Berque, D. A., & Newman, J. T. (2015). GlassClass: Exploring the Design, Implementation, and Acceptance of Google Glass in the Classroom. International Conference on Virtual, Augmented and Mixed Reality, 243–250.
Bettayeb, H., Alshurideh, M. T., & Al Kurdi, B. (2020). The effectiveness of Mobile Learning in UAE Universities: A systematic review of Motivation, Self-efficacy, Usability and Usefulness. International Journal of Control and Automation, 13(2), 1558-1579.
Boykin, E. (2014). Google glass in the class: Wearable technology of the educational future. Retrieved January, 9, 2018.
Brewer, Z. E., Fann, H. C., Ogden, W. D., Burdon, T. A., & Sheikh, A. Y. (2016). Inheriting the learner’s view: a Google Glass-based wearable computing platform for improving surgical trainee performance. Journal of Surgical Education, 73(4), 682–688.
Burke, M. (5 C.E.). ways Google Glass can be used in education.
Calcagno, M. V, Barklund, P. J., Zhao, L., Azzam, S., Knoll, S. S., & Chang, S. (2007). Semantic analysis system for interpreting linguistic structures output by a natural language linguistic analysis system. Google Patents.
Cheng, Y.-M., Lou, S.-J., Kuo, S.-H., & Shih, R.-C. (2013). Investigating elementary school students’ technology acceptance by applying digital game-based learning to environmental education. Australasian Journal of Educational Technology, 29(1).
Dafoulas, G. A., Maia, C., & Loomes, M. (2016). Using Optical Head-Mounted Devices (OHMD) for provision of feedback in education. 2016 12th International Conference on Intelligent Environments (IE), 159–162.
Davis, F. D. (1989). 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, Fred 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.
Dehghani, M. (2016). An assessment towards adoption and diffusion of smart wearable technologies by consumers: the cases of smart watch and fitness wristband products. HT (Extended Proceedings), 1–6.
Dickey, R. M., Srikishen, N., Lipshultz, L. I., Spiess, P. E., Carrion, R. E., & Hakky, T. S. (2016). Augmented reality assisted surgery: a urologic training tool. Asian Journal of Andrology, 18(5), 732.
Drummond, H. (2008). The Icarus paradox: An analysis of a totally destructive system. Journal of Information Technology, 23(3), 176–184.
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
Frank, E., Hall, M., Holmes, G., Kirkby, R., Pfahringer, B., Witten, I. H., & Trigg, L. (2009). Weka-a machine learning workbench for data mining. In Data mining and knowledge discovery handbook (pp. 1269–1277). Springer.
Haesner, M., Wolf, S., Steinert, A., & Steinhagen-Thiessen, E. (2018). Touch interaction with Google Glass–Is it suitable for older adults? International Journal of Human-Computer Studies, 110, 12–20.
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.
Hansen, M. H. (1994). Trustworthiness as a source of competitive advantage. Strategic Management Journal, 15(8), 175–190.
He, J., McCarley, J. S., Crager, K., Jadliwala, M., Hua, L., & Huang, S. (2018). Does wearable device bring distraction closer to drivers? Comparing smartphones and Google Glass. Applied Ergonomics, 70, 156–166.
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.
Higgins, S., Xiao, Z., & Katsipataki, M. (2012). The impact of digital technology on learning: A summary for the education endowment foundation. Durham, UK: Education Endowment Foundation and Durham University.
Hsu, J.-Y., Chen, C.-C., & Ting, P.-F. (2018). Understanding MOOC continuance: An empirical examination of social support theory. Interactive Learning Environments, 26(8), 1100–1118.
Huang, J., Lin, Y., & Chuang, S. (2007). Elucidating user behavior of mobile learning. The Electronic Library.
Khlaisang, J., Teo, T., & Huang, F. (2019). Acceptance of a flipped smart application for learning: a study among Thai university students. Interactive Learning Environments, 1–18.
Kirkham, R., & Greenhalgh, C. (2015). Social access vs. privacy in wearable computing: a case study of autism. IEEE Pervasive Computing, 14(1), 26–33.
Knight, H. M., Gajendragadkar, P. R., & Bokhari, A. (2015). Wearable technology: using Google Glass as a teaching tool. Case Reports, 2015.
Kumar, N. M., Krishna, P. R., Pagadala, P. K., & Kumar, N. M. S. (2018). Use of smart glasses in education-a study. 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2018 2nd International Conference On, 56–59.
Kurdi, B. A., Alshurideh, M., Salloum, S. A., Obeidat, Z. M., & Al-dweeri, R. M. (2020). An empirical investigation into examination of factors influencing university students’ behavior towards elearning acceptance using SEM approach. International Journal of Interactive Mobile Technologies, 14(2). https://doi.org/10.3991/ijim.v14i02.11115
Larabi Marie-Sainte, S., Alrazgan, M. S., Bousbahi, F., Ghouzali, S., & Abdul, W. (2016). From mobile to wearable system: a wearable RFID system to enhance teaching and learning conditions. Mobile Information Systems, 2016.
Leo, S., Alsharari, N. M., Abbas, J., & Alshurideh, M. T. (2021). From Offline to Online Learning: A Qualitative Study of Challenges and Opportunities as a Response to the COVID-19 Pandemic in the UAE Higher Education Context. The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, 203-217.
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.
Liu, S.-H., Liao, H.-L., & Pratt, J. A. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52(3), 599–607.
Marakhimov, A., & Joo, J. (2017). Consumer adaptation and infusion of wearable devices for healthcare. Computers in Human Behavior, 76, 135–148.
Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory.
Park, Y. J., & Skoric, M. (2017). Personalized ad in your Google Glass? Wearable technology, hands-off data collection, and new policy imperative. Journal of Business Ethics, 142(1), 71–82.
Parslow, G. R. (2014). Commentary: Google glass: A head‐up display to facilitate teaching and learning. Biochemistry and Molecular Biology Education, 42(1), 91–92.
Rauschnabel, P. A., Brem, A., & Ivens, B. S. (2015). Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearables. Computers in Human Behavior, 49, 635–647.
Rauschnabel, P. A., He, J., & Ro, Y. K. (2018). Antecedents to the adoption of augmented reality smart glasses: A closer look at privacy risks. Journal of Business Research, 92, 374–384.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS.
Salamin, A.-D. (2014). Using Google Glass to enrich printed textbooks in a blended learning environment to meet digital natives’ expectations. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 1741–1748.
Salloum, S.A., & Shaalan, K. (2019). Adoption of E-Book for University Students. In Advances in Intelligent Systems and Computing (Vol. 845). https://doi.org/10.1007/978-3-319-99010-1_44
Salloum, Said A, Al-Emran, M., Habes, M., Alghizzawi, M., Ghani, M. A., & Shaalan, K. (2019). Understanding the Impact of Social Media Practices on E-Learning Systems Acceptance. International Conference on Advanced Intelligent Systems and Informatics, 360–369.
Salloum, Said A, Alshurideh, M., Elnagar, A., & Shaalan, K. (2020). Mining in Educational data: Review and Future Directions. Joint European-US Workshop on Applications of Invariance in Computer Vision, 92–102.
Sidiya, K., Alzanbagi, N., & Bensenouci, A. (2015). Google glass and Apple Watch will they become our learning tools? 2015 12th Learning and Technology Conference, 6–8.
Silva, M., Freitas, D., Neto, E., Lins, C., Teichrieb, V., & Teixeira, J. M. (2014). Glassist: using augmented reality on Google Glass as an aid to classroom management. 2014 XVI Symposium on Virtual and Augmented Reality, 37–44.
Woodside, J. M. (2015). Wearable technology acceptance model: Google Glass. Society for Information Technology & Teacher Education International Conference, 1800–1802.
Zarraonandia, T., Díaz, P., Montero, Á., Aedo, I., & Onorati, T. (2019). Using a Google Glass-based Classroom Feedback System to improve students to teacher communication. IEEE Access, 7, 16837–16846.