Skip to main content
Erschienen in: Technology, Knowledge and Learning 4/2023

08.06.2022 | Original research

Learning from anywhere, anytime: Utilitarian motivations and facilitating conditions for mobile learning

verfasst von: Mark Anthony Camilleri, Adriana Caterina Camilleri

Erschienen in: Technology, Knowledge and Learning | Ausgabe 4/2023

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This contribution investigates higher education students’ perceptions about mobile learning (m-learning) applications, as well as the effects of social influences and of appropriate facilitating conditions, on their intentions to continue using them. A structured survey questionnaire integrated valid measures from the Technology Acceptance Model (TAM) and from the Unified Theory of Acceptance and Use of Technology (UTAUT) to better explain their acceptance and use of m-learning software. The findings reported that facilitating conditions including the provision of resources, ongoing training opportunities and technical support, were affecting the respondents’ engagement with m-learning programs. The respondents indicated that they were not influenced by others to use mobile technologies for educational purposes. The results also suggest that they were well acquainted (and habituated) with the use of mobile devices and their applications. Evidently, they helped them improve their learning journeys.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211CrossRef Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211CrossRef
Zurück zum Zitat Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261–277CrossRef Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261–277CrossRef
Zurück zum Zitat Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102CrossRef Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102CrossRef
Zurück zum Zitat Al-Furaih, S. A., & Al-Awidi, H. M. (2020). Teachers’ change readiness for the adoption of smartphone technology: Personal concerns and technological competency. Technology, Knowledge and Learning, 25(2), 409–432CrossRef Al-Furaih, S. A., & Al-Awidi, H. M. (2020). Teachers’ change readiness for the adoption of smartphone technology: Personal concerns and technological competency. Technology, Knowledge and Learning, 25(2), 409–432CrossRef
Zurück zum Zitat Almaiah, M. A., & Alismaiel, O. A. (2019). Examination of factors influencing the use of mobile learning system: An empirical study. Education and Information Technologies, 24(1), 885–909CrossRef Almaiah, M. A., & Alismaiel, O. A. (2019). Examination of factors influencing the use of mobile learning system: An empirical study. Education and Information Technologies, 24(1), 885–909CrossRef
Zurück zum Zitat Almaiah, M. A., Alamri, M. M., & Al-Rahmi, W. (2019). Applying the UTAUT model to explain the students’ acceptance of mobile learning system in higher education. IEEE Access, 7, 174673–174686CrossRef Almaiah, M. A., Alamri, M. M., & Al-Rahmi, W. (2019). Applying the UTAUT model to explain the students’ acceptance of mobile learning system in higher education. IEEE Access, 7, 174673–174686CrossRef
Zurück zum Zitat Bergdahl, N., & Nouri, J. (2020). Covid-19 and crisis-prompted distance education in Sweden. Technology, Knowledge and Learning, 26, 443–459CrossRef Bergdahl, N., & Nouri, J. (2020). Covid-19 and crisis-prompted distance education in Sweden. Technology, Knowledge and Learning, 26, 443–459CrossRef
Zurück zum Zitat Butler, A., Camilleri, M. A., Creed, A., & Zutshi, A. (2021). The use of mobile learning technologies for corporate training and development: A contextual framework. Strategic Corporate Communication in the Digital Age. Emerald Publishing Limited Butler, A., Camilleri, M. A., Creed, A., & Zutshi, A. (2021). The use of mobile learning technologies for corporate training and development: A contextual framework. Strategic Corporate Communication in the Digital Age. Emerald Publishing Limited
Zurück zum Zitat Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2017). Learning with mobile technologies–Students’ behavior. Computers in Human Behavior, 72, 612–620CrossRef Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2017). Learning with mobile technologies–Students’ behavior. Computers in Human Behavior, 72, 612–620CrossRef
Zurück zum Zitat Camilleri, M. A., & Camilleri, A. C. (2017a). Digital learning resources and ubiquitous technologies in education. Technology, Knowledge and Learning, 22(1), 65–82CrossRef Camilleri, M. A., & Camilleri, A. C. (2017a). Digital learning resources and ubiquitous technologies in education. Technology, Knowledge and Learning, 22(1), 65–82CrossRef
Zurück zum Zitat Camilleri, M. A., & Camilleri, A. C. (2017b). Measuring the educators’ behavioural intention, perceived use and ease of use of mobile technologies. In 31st annual conference of the British Academy of Management, conference proceedings (Coventry, UK). https://bit.ly/37Jpr5C Camilleri, M. A., & Camilleri, A. C. (2017b). Measuring the educators’ behavioural intention, perceived use and ease of use of mobile technologies. In 31st annual conference of the British Academy of Management, conference proceedings (Coventry, UK). https://​bit.​ly/​37Jpr5C
Zurück zum Zitat Camilleri, M. A., Camilleri, A. The technology acceptance of mobile applications in education. In 13th International Conference on Mobile Learning (, Budapest, & Hungary (2017c). Proceedings, International Association for Development of the Information Society, IADIS. https://eric.ed.gov/?id=ED579209 Camilleri, M. A., Camilleri, A. The technology acceptance of mobile applications in education. In 13th International Conference on Mobile Learning (, Budapest, & Hungary (2017c). Proceedings, International Association for Development of the Information Society, IADIS. https://​eric.​ed.​gov/​?​id=​ED579209
Zurück zum Zitat Camilleri, M. A., & Camilleri, A. C. (2019a). The students’ readiness to engage with mobile learning apps. Interactive Technology and Smart Education, 17(1), 28–38CrossRef Camilleri, M. A., & Camilleri, A. C. (2019a). The students’ readiness to engage with mobile learning apps. Interactive Technology and Smart Education, 17(1), 28–38CrossRef
Zurück zum Zitat Camilleri, A. C., & Camilleri, M. A. (2019b). The students’ perceived use, ease of use and enjoyment of educational games at home and at school. 13th Annual International Technology, Education and Development Conference (Valencia, Spain). International Academy of Technology, Education and Development (IATED). https://bit.ly/3jtN58P Camilleri, A. C., & Camilleri, M. A. (2019b). The students’ perceived use, ease of use and enjoyment of educational games at home and at school. 13th Annual International Technology, Education and Development Conference (Valencia, Spain). International Academy of Technology, Education and Development (IATED). https://​bit.​ly/​3jtN58P
Zurück zum Zitat Camilleri, A. C., & Camilleri, M. A. (2019c). Mobile learning via educational apps: an interpretative study. In ICETT 2019: Proceedings of the 2019 5th International Conference on Education and Training Technologies (Seoul, South Korea), pp. 88–92, https://doi.org/10.1145/3337682.3337687 Camilleri, A. C., & Camilleri, M. A. (2019c). Mobile learning via educational apps: an interpretative study. In ICETT 2019: Proceedings of the 2019 5th International Conference on Education and Training Technologies (Seoul, South Korea), pp. 88–92, https://​doi.​org/​10.​1145/​3337682.​3337687
Zurück zum Zitat Camilleri, M. A. (2020). The online users’ perceptions toward electronic government services. Journal of Information, Communication and Ethics in Society, 18(2), 221–235 CrossRef Camilleri, M. A. (2020). The online users’ perceptions toward electronic government services. Journal of Information, Communication and Ethics in Society, 18(2), 221–235 CrossRef
Zurück zum Zitat Camilleri, M. A., & Camilleri, A. C. (2020). The students’ acceptance and use of their university’s virtual learning environment. In IC4E 2020: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (Osaka, Japan), pp. 48–53, https://doi.org/10.1145/3377571.3377574 Camilleri, M. A., & Camilleri, A. C. (2020). The students’ acceptance and use of their university’s virtual learning environment. In IC4E 2020: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (Osaka, Japan), pp. 48–53, https://​doi.​org/​10.​1145/​3377571.​3377574
Zurück zum Zitat Camilleri, M. A. (2021a). Evaluating service quality and performance of higher education institutions: a systematic review and a post-COVID-19 outlook. International Journal of Quality and Service Sciences, 13(2), 268–281CrossRef Camilleri, M. A. (2021a). Evaluating service quality and performance of higher education institutions: a systematic review and a post-COVID-19 outlook. International Journal of Quality and Service Sciences, 13(2), 268–281CrossRef
Zurück zum Zitat Camilleri, M. A. (2021b). Using the balanced scorecard as a performance management tool in higher education. Management in Education, 35(1), 10–21CrossRef Camilleri, M. A. (2021b). Using the balanced scorecard as a performance management tool in higher education. Management in Education, 35(1), 10–21CrossRef
Zurück zum Zitat Callaghan, R. (2018). Developing mobile teaching practice: A collaborative exploration process. Technology, Knowledge and Learning, 23(2), 331–350CrossRef Callaghan, R. (2018). Developing mobile teaching practice: A collaborative exploration process. Technology, Knowledge and Learning, 23(2), 331–350CrossRef
Zurück zum Zitat Chang, C. Y., Lai, C. L., & Hwang, G. J. (2018). Trends and research issues of mobile learning studies in nursing education: A review of academic publications from 1971 to 2016. Computers & Education, 116, 28–48CrossRef Chang, C. Y., Lai, C. L., & Hwang, G. J. (2018). Trends and research issues of mobile learning studies in nursing education: A review of academic publications from 1971 to 2016. Computers & Education, 116, 28–48CrossRef
Zurück zum Zitat Chavoshi, A., & Hamidi, H. (2019). Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran. Telematics and Informatics, 38, 133–165CrossRef Chavoshi, A., & Hamidi, H. (2019). Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran. Telematics and Informatics, 38, 133–165CrossRef
Zurück zum Zitat Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & education, 59(3), 1054–1064CrossRef Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & education, 59(3), 1054–1064CrossRef
Zurück zum Zitat Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160–175CrossRef Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160–175CrossRef
Zurück zum Zitat Ciampa, K. (2014). Learning in a mobile age: an investigation of student motivation. Journal of Computer Assisted Learning, 30(1), 82–96CrossRef Ciampa, K. (2014). Learning in a mobile age: an investigation of student motivation. Journal of Computer Assisted Learning, 30(1), 82–96CrossRef
Zurück zum Zitat Crompton, H. (2013). “A historical overview of mobile learning: Toward learner-centered education”. In Z. L. Berge, & L. Y. Muilenburg (Eds.), Handbook of Mobile Learning (pp. 3–14). Florence, KY: Routledge Crompton, H. (2013). “A historical overview of mobile learning: Toward learner-centered education”. In Z. L. Berge, & L. Y. Muilenburg (Eds.), Handbook of Mobile Learning (pp. 3–14). Florence, KY: Routledge
Zurück zum Zitat Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64CrossRef Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64CrossRef
Zurück zum Zitat Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340CrossRef Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340CrossRef
Zurück zum Zitat Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003CrossRef Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003CrossRef
Zurück zum Zitat Dreimane, S., & Daniela, L. (2020). Educational Potential of Augmented Reality Mobile Applications for Learning the Anatomy of the Human Body.Technology, Knowledge and Learning,1–26 Dreimane, S., & Daniela, L. (2020). Educational Potential of Augmented Reality Mobile Applications for Learning the Anatomy of the Human Body.Technology, Knowledge and Learning,1–26
Zurück zum Zitat Dumpit, D. Z., & Fernandez, C. J. (2017). Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model. International Journal of Educational Technology in Higher Education, 14(1), 1–16CrossRef Dumpit, D. Z., & Fernandez, C. J. (2017). Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model. International Journal of Educational Technology in Higher Education, 14(1), 1–16CrossRef
Zurück zum Zitat Faqih, K. M., & Jaradat, M. I. R. M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37–52CrossRef Faqih, K. M., & Jaradat, M. I. R. M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37–52CrossRef
Zurück zum Zitat Fokides, E., Atsikpasi, P., & Karageorgou, D. (2020). Tablets, plants, and primary school students: A study. Technology, Knowledge and Learning, 25(3), 621–649CrossRef Fokides, E., Atsikpasi, P., & Karageorgou, D. (2020). Tablets, plants, and primary school students: A study. Technology, Knowledge and Learning, 25(3), 621–649CrossRef
Zurück zum Zitat Furió, D., Juan, M. C., Seguí, I., & Vivó, R. (2015). Mobile learning vs. traditional classroom lessons: a comparative study. Journal of Computer Assisted Learning, 31(3), 189–201CrossRef Furió, D., Juan, M. C., Seguí, I., & Vivó, R. (2015). Mobile learning vs. traditional classroom lessons: a comparative study. Journal of Computer Assisted Learning, 31(3), 189–201CrossRef
Zurück zum Zitat Garcia, L. S., & Silva, C. M. C. (2017). Differences between perceived usefulness of social media and institutional channels by undergraduate students. Interactive Technology and Smart Education, 14(3), 196–215CrossRef Garcia, L. S., & Silva, C. M. C. (2017). Differences between perceived usefulness of social media and institutional channels by undergraduate students. Interactive Technology and Smart Education, 14(3), 196–215CrossRef
Zurück zum Zitat García Botero, G., Questier, F., Cincinnato, S., He, T., & Zhu, C. (2018). Acceptance and usage of mobile assisted language learning by higher education students. Journal of Computing in Higher Education, 30(3), 426–451CrossRef García Botero, G., Questier, F., Cincinnato, S., He, T., & Zhu, C. (2018). Acceptance and usage of mobile assisted language learning by higher education students. Journal of Computing in Higher Education, 30(3), 426–451CrossRef
Zurück zum Zitat Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593CrossRef Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593CrossRef
Zurück zum Zitat Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106CrossRef Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106CrossRef
Zurück zum Zitat Hamidi, H., & Chavoshi, A. (2018). Analysis of the essential factors for the adoption of mobile learning in higher education: A case study of students of the University of Technology. Telematics and Informatics, 35(4), 1053–1070CrossRef Hamidi, H., & Chavoshi, A. (2018). Analysis of the essential factors for the adoption of mobile learning in higher education: A case study of students of the University of Technology. Telematics and Informatics, 35(4), 1053–1070CrossRef
Zurück zum Zitat Huang, Y. M., Huang, Y. M., Huang, S. H., & Lin, Y. T. (2012). A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes vs. usefulness/ease of use. Computers & Education, 58(1), 273–282CrossRef Huang, Y. M., Huang, Y. M., Huang, S. H., & Lin, Y. T. (2012). A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes vs. usefulness/ease of use. Computers & Education, 58(1), 273–282CrossRef
Zurück zum Zitat Hwang, G. J., & Chang, H. F. (2011). A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56(4), 1023–1031CrossRef Hwang, G. J., & Chang, H. F. (2011). A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56(4), 1023–1031CrossRef
Zurück zum Zitat Jahnke, I., Lee, Y. M., Pham, M., He, H., & Austin, L. (2020). Unpacking the inherent design principles of mobile microlearning. Technology, Knowledge and Learning, 25(3), 585–619CrossRef Jahnke, I., Lee, Y. M., Pham, M., He, H., & Austin, L. (2020). Unpacking the inherent design principles of mobile microlearning. Technology, Knowledge and Learning, 25(3), 585–619CrossRef
Zurück zum Zitat Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society, 21(3), 48–59 Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society, 21(3), 48–59
Zurück zum Zitat Kuznetcova, I., Lin, T. J., & Glassman, M. (2021). Teacher Presence in a Different Light: Authority Shift in Multi-user Virtual Environments. Technology, Knowledge and Learning, 26(1), 79–103CrossRef Kuznetcova, I., Lin, T. J., & Glassman, M. (2021). Teacher Presence in a Different Light: Authority Shift in Multi-user Virtual Environments. Technology, Knowledge and Learning, 26(1), 79–103CrossRef
Zurück zum Zitat Kwong, T., Wong, E., & Yue, K. (2017). Bringing abstract academic integrity and ethical concepts into real-life situations. Technology, Knowledge and Learning, 22(3), 353–368CrossRef Kwong, T., Wong, E., & Yue, K. (2017). Bringing abstract academic integrity and ethical concepts into real-life situations. Technology, Knowledge and Learning, 22(3), 353–368CrossRef
Zurück zum Zitat Lameu, P. (2020). the case of the ‘nasty trolley’or how mobile learning and tablets are influencing emotions and affects and shaping the constitution of the identity of teachers and students. Technology, Knowledge and Learning, 25(1), 45–61CrossRef Lameu, P. (2020). the case of the ‘nasty trolley’or how mobile learning and tablets are influencing emotions and affects and shaping the constitution of the identity of teachers and students. Technology, Knowledge and Learning, 25(1), 45–61CrossRef
Zurück zum Zitat Lowenthal, J. N. (2010). Using mobile learning: Determinates impacting behavioral intention. The American Journal of Distance Education, 24(4), 195–206CrossRef Lowenthal, J. N. (2010). Using mobile learning: Determinates impacting behavioral intention. The American Journal of Distance Education, 24(4), 195–206CrossRef
Zurück zum Zitat Maqtary, N., Mohsen, A., & Bechkoum, K. (2019). Group formation techniques in computer-supported collaborative learning: A systematic literature review. Technology, Knowledge and Learning, 24(2), 169–190CrossRef Maqtary, N., Mohsen, A., & Bechkoum, K. (2019). Group formation techniques in computer-supported collaborative learning: A systematic literature review. Technology, Knowledge and Learning, 24(2), 169–190CrossRef
Zurück zum Zitat Ngai, E. W., Poon, J. K. L., & Chan, Y. H. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250–267CrossRef Ngai, E. W., Poon, J. K. L., & Chan, Y. H. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250–267CrossRef
Zurück zum Zitat Nguyen, L., Barton, S. M., & Nguyen, L. T. (2015). iP ads in higher education—Hype and hope. British Journal of Educational Technology, 46(1), 190–203CrossRef Nguyen, L., Barton, S. M., & Nguyen, L. T. (2015). iP ads in higher education—Hype and hope. British Journal of Educational Technology, 46(1), 190–203CrossRef
Zurück zum Zitat Nikolopoulou, K., Gialamas, V., Lavidas, K., & Komis, V. (2021). Teachers’ readiness to adopt mobile learning in classrooms: A study in Greece. Technology, Knowledge and Learning, 26(1), 53–77CrossRef Nikolopoulou, K., Gialamas, V., Lavidas, K., & Komis, V. (2021). Teachers’ readiness to adopt mobile learning in classrooms: A study in Greece. Technology, Knowledge and Learning, 26(1), 53–77CrossRef
Zurück zum Zitat Nikou, S. A., & Economides, A. A. (2017). Mobile-Based Assessment: Integrating acceptance and motivational factors into a combined model of Self-Determination Theory and Technology Acceptance. Computers in Human Behavior, 68, 83–95CrossRef Nikou, S. A., & Economides, A. A. (2017). Mobile-Based Assessment: Integrating acceptance and motivational factors into a combined model of Self-Determination Theory and Technology Acceptance. Computers in Human Behavior, 68, 83–95CrossRef
Zurück zum Zitat Nistor, N., Lerche, T., Weinberger, A., Ceobanu, C., & Heymann, O. (2014). Towards the integration of culture into the Unified Theory of Acceptance and Use of Technology. British Journal of Educational Technology, 45(1), 36–55CrossRef Nistor, N., Lerche, T., Weinberger, A., Ceobanu, C., & Heymann, O. (2014). Towards the integration of culture into the Unified Theory of Acceptance and Use of Technology. British Journal of Educational Technology, 45(1), 36–55CrossRef
Zurück zum Zitat Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605CrossRef Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605CrossRef
Zurück zum Zitat Peñarroja, V., Sánchez, J., Gamero, N., Orengo, V., & Zornoza, A. M. (2019). The influence of organisational facilitating conditions and technology acceptance factors on the effectiveness of virtual communities of practice. Behaviour & Information Technology, 38(8), 845–857CrossRef Peñarroja, V., Sánchez, J., Gamero, N., Orengo, V., & Zornoza, A. M. (2019). The influence of organisational facilitating conditions and technology acceptance factors on the effectiveness of virtual communities of practice. Behaviour & Information Technology, 38(8), 845–857CrossRef
Zurück zum Zitat Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35CrossRef Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35CrossRef
Zurück zum Zitat Schoonenboom, J. (2014). Using an adapted, task-level technology acceptance model to explain why instructors in higher education intend to use some learning management system tools more than others. Computers & Education, 71, 247–256CrossRef Schoonenboom, J. (2014). Using an adapted, task-level technology acceptance model to explain why instructors in higher education intend to use some learning management system tools more than others. Computers & Education, 71, 247–256CrossRef
Zurück zum Zitat Shonfeld, M., & Magen-Nagar, N. (2020). The impact of an online collaborative program on intrinsic motivation, satisfaction and attitudes towards technology. Technology, Knowledge and Learning, 25(2), 297–313CrossRef Shonfeld, M., & Magen-Nagar, N. (2020). The impact of an online collaborative program on intrinsic motivation, satisfaction and attitudes towards technology. Technology, Knowledge and Learning, 25(2), 297–313CrossRef
Zurück zum Zitat Sevillano-Garcia, M. L., & Vázquez-Cano, E. (2015). The impact of digital mobile devices in higher education. Journal of Educational Technology & Society, 18(1), 106–118 Sevillano-Garcia, M. L., & Vázquez-Cano, E. (2015). The impact of digital mobile devices in higher education. Journal of Educational Technology & Society, 18(1), 106–118
Zurück zum Zitat Siyam, N. (2019). Factors impacting special education teachers’ acceptance and actual use of technology. Education and Information Technologies, 24(3), 2035–2057CrossRef Siyam, N. (2019). Factors impacting special education teachers’ acceptance and actual use of technology. Education and Information Technologies, 24(3), 2035–2057CrossRef
Zurück zum Zitat Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275CrossRef Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275CrossRef
Zurück zum Zitat Swanson, J. A. (2020). Assessing the effectiveness of the use of mobile technology in a collegiate course: A case study in M-learning. Technology, Knowledge and Learning, 25(2), 389–408CrossRef Swanson, J. A. (2020). Assessing the effectiveness of the use of mobile technology in a collegiate course: A case study in M-learning. Technology, Knowledge and Learning, 25(2), 389–408CrossRef
Zurück zum Zitat Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302–312CrossRef Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302–312CrossRef
Zurück zum Zitat Teo, T., & Zhou, M. (2014). Explaining the intention to use technology among university students: a structural equation modeling approach. Journal of Computing in Higher education, 26(2), 124–142CrossRef Teo, T., & Zhou, M. (2014). Explaining the intention to use technology among university students: a structural equation modeling approach. Journal of Computing in Higher education, 26(2), 124–142CrossRef
Zurück zum Zitat Teo, T., Zhou, M., & Noyes, J. (2016). Teachers and technology: Development of an extended theory of planned behavior. Educational Technology Research and Development, 64(6), 1033–1052CrossRef Teo, T., Zhou, M., & Noyes, J. (2016). Teachers and technology: Development of an extended theory of planned behavior. Educational Technology Research and Development, 64(6), 1033–1052CrossRef
Zurück zum Zitat Thomas, T., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using ICT, 9(3), 71–85 Thomas, T., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using ICT, 9(3), 71–85
Zurück zum Zitat Thong, J. Y., Hong, W., & Tam, K. Y. (2002). Understanding user acceptance of digital libraries: what are the roles of interface characteristics, organizational context, and individual differences? International Journal of Human-Computer Studies, 57(3), 215–242CrossRef Thong, J. Y., Hong, W., & Tam, K. Y. (2002). Understanding user acceptance of digital libraries: what are the roles of interface characteristics, organizational context, and individual differences? International Journal of Human-Computer Studies, 57(3), 215–242CrossRef
Zurück zum Zitat Tosuntaş, Ş. B., Karadağ, E., & Orhan, S. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology. Computers & Education, 81, 169–178CrossRef Tosuntaş, Ş. B., Karadağ, E., & Orhan, S. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology. Computers & Education, 81, 169–178CrossRef
Zurück zum Zitat Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478CrossRef Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478CrossRef
Zurück zum Zitat Yang, H. H., Feng, L., & MacLeod, J. (2019). Understanding college students’ acceptance of cloud classrooms in flipped instruction: integrating UTAUT and connected classroom climate. Journal of Educational Computing Research, 56(8), 1258–1276CrossRef Yang, H. H., Feng, L., & MacLeod, J. (2019). Understanding college students’ acceptance of cloud classrooms in flipped instruction: integrating UTAUT and connected classroom climate. Journal of Educational Computing Research, 56(8), 1258–1276CrossRef
Metadaten
Titel
Learning from anywhere, anytime: Utilitarian motivations and facilitating conditions for mobile learning
verfasst von
Mark Anthony Camilleri
Adriana Caterina Camilleri
Publikationsdatum
08.06.2022
Verlag
Springer Netherlands
Erschienen in
Technology, Knowledge and Learning / Ausgabe 4/2023
Print ISSN: 2211-1662
Elektronische ISSN: 2211-1670
DOI
https://doi.org/10.1007/s10758-022-09608-8

Weitere Artikel der Ausgabe 4/2023

Technology, Knowledge and Learning 4/2023 Zur Ausgabe

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.