Abstract
Cloud services have been construed as powerful learning tools for students. Different from previous technologies, cloud services serve the function of synchronous collaboration, which is considered fairly helpful for students’ collaborative learning. Based on this fact, this chapter is primarily dedicated to explaining the relations between cloud services and collaborative learning. Specifically speaking, this chapter firstly points out the merits of collaborative learning and reveals the difficulties in implementing this approach, and then explains why cloud services can be used to overcome these difficulties and thereby facilitate collaborative learning. This chapter also contains several case studies on cloud service-based collaborative learning. Analyzing the findings of these case studies, we found that facilitating conditions, social influence, and social presence are significant factors behind students’ intention to use cloud services in collaborative learning. In sum, this chapter not only gives researchers and practitioners a deeper understanding of the relations between cloud services and collaborative learning, but also promotes the development and application of cloud service in the field of education.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). California: Sage Publications.
Chiu, C. H., Huang, C. C., & Chang, W. T. (2000). The evaluation and influence of interaction in network supported collaborative concept mapping. Computers & Education, 34(1), 17–25.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
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), 982–1003.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
González-MartĂnez, J. A., Bote-Lorenzo, M. L., GĂłmez-Sánchez, E., & Cano-Parra, R. (2015). Cloud computing and education: A state-of-the-art survey. Computers & Education, 80, 132–151.
Gunawardena, C., & Zittle, F. (1997). Social presence as a predictor of satisfaction within a computer-mediated conferencing environment. The American Journal of Distance Education, 11(3), 8–26.
Huang, Y. M. (2015). Exploring the factors that affect the intention to use collaborative technologies: The differing perspectives of sequential/global learners. Australasian Journal of Educational Technology, 31(3), 278–292.
Huang, Y. M. (2016). The factors that predispose students to continuously use cloud services: social and technological perspectives. Computers & Education, 97, 86–96.
Huang, Y. M. (2017). Exploring the intention to use cloud services in collaboration contexts among Taiwan’s private vocational students. Information Development, 33(1), 29–42.
Huang, Y. M. (in press). Exploring students’ acceptance of team messaging services: the roles of social presence and motivation. British Journal of Educational Technology, https://doi.org/10.1111/bjet.12468.
Huang, Y. M., Chen, H. C., Hwang, J. P., & Huang, Y. M. (2013a). Application of cloud technology, social networking sites and sensing technology to e-learning. In R.-H. Huang, Kinshuk, & J. M. Spector (Eds.), Reshaping learning (pp. 343–364). Berlin: Springer.
Huang, Y. M., Huang, Y. M., Huang, S. H., & Lin, Y. T. (2012). A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes versus usefulness/ease-of-use. Computers & Education, 58(1), 273–282.
Huang, Y. M., Wang, C. S., Guo, J. Z., Shih, H. Y., & Chen, Y. S. (2013b). Advancing collaborative learning with cloud service. Lecture Notes in Electrical Engineering, 253, 717–722.
Huang, Y. M., Wang, C. S., & Liu, Y. C. (2015). A study of synchronous vs. asynchronous collaborative design in students’ learning motivation. International Journal of Information and Education Technology, 5(5), 354–357.
Kang, M., & Shin, W. S. (2015). An empirical investigation of student acceptance of synchronous e-learning in an online university. Journal of Educational Computing Research, 52(4), 475–495.
Kim, I. H. (2014). Development of reasoning skills through participation in collaborative synchronous online discussions. Interactive Learning Environments, 22(4), 467–484.
Kreijns, K., Kirschner, P. A., Jochems, W., & Van Buuren, H. (2004). Determining sociability, social space, and social presence in (a)synchronous collaborative groups. CyberPsychology & Behavior, 7(2), 155–172.
Liu, C. H., & Huang, Y. M. (2015a). An empirical investigation of computer simulation technology acceptance to explore the factors that affect user intention. Universal Access in the Information Society, 14(3), 449–457.
Liu, Y. C., & Huang, Y. M. (2015b). Using the UTAUT model to examine the acceptance behavior of synchronous collaboration to support peer translation. JALT CALL, 11(1), 77–91.
Lo, H. C. (2009). Utilizing computer-mediated communication tools for problem-based learning. Educational Technology & Society, 12(1), 205–213.
McCarthy, C., Bligh, J., Jennings, K., & Tangney, B. (2005). Virtual collaborative learning environments for music: networked drumsteps. Computers & Education, 44(2), 173–195.
Muirhead, B. (2004). Encouraging interaction in online classes. International Journal of Instructional Technology and Distance Learning, 1(6), 45–50.
Muirhead, B., & Juwah, C. (2004). Interactivity in computer-mediated college and university education: a recent review of the literature. Educational Technology & Society, 7(1), 12–20.
Murphy, K. L., & Collins, M. P. (1998). Development of communication conventions in instructional electronic chats. Journal of Distance Education, 12, 177–200.
Noël, S., & Robert, J. M. (2004). Empirical study on collaborative writing: what do co-authors do, use, and like? Computer Supported Cooperative Work, 13(1), 63–89.
Olsen, R. E. W. B., & Kagan, S. (1992). About cooperative learning. In C. Kessler (Ed.), Cooperative language learning: a teacher’s resource book (pp. 1–30). Englewood Cliffs, NJ: Prentice Hall.
Oxford, R. L. (1999). Cooperative learning, collaborative learning, and interaction: Three communicative strands in the language classroom. The Modern Language Journal, 81(4), 443–456.
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved October from http://www.smartpls.com.
Schunk, D. H. (2012). Learning theories: An educational perspective (6th ed.). Boston: Pearson Education Inc.
Sotillo, S. M. (2002). Constructivist and collaborative learning in a wireless environment. TESOL Journal, 11(3), 16–20.
Springer, L., Stanne, M. E., & Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: A meta-analysis. Review of Educational Research, 69(1), 21–51.
Su, F., & Beaumont, C. (2010). Evaluating the use of a wiki for collaborative learning. Innovations in Education and Teaching International, 47(4), 417–431.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: model development and test. Computers & Education, 57(4), 2432–2440.
Teo, T. (2012). Examining the intention to use technology among pre-service teachers: An integration of the technology acceptance model and theory of planned behavior. Interactive Learning Environments, 20(1), 3–18.
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), 425–478.
Vygotsky, L. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
Wang, Q. (2009). Design and evaluation of a collaborative learning environment. Computers & Education, 53(4), 1138–1146.
Wang, C. S., & Huang, Y. M. (2016). Acceptance of cloud services in face-to-face computer supported collaborative learning: a comparison between single-user mode and multi-user mode. Innovations in Education and Teaching International, 53(6), 637–648.
Wu, W. W., Lan, L. W., & Lee, Y. T. (2013). Factors hindering acceptance of using cloud services in university: a case study. The Electronic Library, 31(1), 84–98.
Acknowledgements
The authors would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan, for financially supporting this research under Contract No. MOST 106-2511-S-218-006-MY3.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Wang, DC., Huang, YM. (2018). Cloud Services in Collaborative Learning: Applications and Implications. In: Spector, J., et al. Frontiers of Cyberlearning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-0650-1_11
Download citation
DOI: https://doi.org/10.1007/978-981-13-0650-1_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0649-5
Online ISBN: 978-981-13-0650-1
eBook Packages: EducationEducation (R0)