Skip to main content
SpringerLink
Log in

A Cross-cultural Exploration of Primary Students’ Learning Management System Use: A Mixed Methods Approach

  • Conference paper
  • First Online:
Book cover New Media for Educational Change

Part of the book series: Educational Communications and Technology Yearbook ((ECTY))

Abstract

This study aims to explore and compare Hong Kong (HK) and Shenzhen primary students’ learning manage system (LMS) use and the factors affecting their LMS acceptance. The study was conducted in a mixed methods approach with a survey on 272 grade five students first and focus group interviews with 16 of the survey students followed by. The results of a structural equation modeling analysis on survey data confirm the technology acceptance model and indicate significant differences between two student groups on the model. Specifically, while all paths are supported among Shenzhen students, the effects of perceived ease of use on perceived usefulness and subjective norm on intention to LMS use are not significant among HK students. The results of analysis on interviews data reveal that intrinsic motivation may disassociate perceived ease of use with perceived usefulness. While LMS in HK provides multiple functions that facilitate playfulness, students from Shenzhen reported difficulties in using LMS for learning. Besides, voluntariness of LMS use may play an important role in influencing the effect of subjective norm on intention to use LMS. While HK students who use LMS under voluntary context may disregard social influence, Shenzhen students seem to derive motivation to use LMS from social pressure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.00
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Amah, O. E. (2010). Multi-dimensional leader member exchange and work attitude relationship: The role of reciprocity. Asian Journal of Scientific Research, 3(1), 39–50.

    Article  Google Scholar 

  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.

    Article  Google Scholar 

  • Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254.

    Article  Google Scholar 

  • Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160–175.

    Article  Google Scholar 

  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.

    Article  Google Scholar 

  • Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems. Doctoral dissertation, Massachusetts Institute of Technology.

    Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Education Manpower Bureau (EMB). (1998). Information technology for learning in a new era: Five-year strategy 1998/99 to 2002/03. The Bureau: Hong Kong.

    Google Scholar 

  • Education Manpower Bureau (EMB). (2004). Empowering learning and teaching with information technology. Hong Kong: Education and Manpower Bureau.

    Google Scholar 

  • Education Manpower Bureau (EMB). (2008). Right technology at the right time for the right task. Hong Kong: Education and Manpower Bureau.

    Google Scholar 

  • Education Manpower Bureau (EMB). (2014). The fourth strategy on information technology in education: Realising IT potential. In unleashing learning power. Hong Kong: Education and Manpower Bureau.

    Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley Pub.

    Google Scholar 

  • Fornell, C., & Larker, D. (1981). Structural equation modeling and regression: Guidelines for research practice. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Hofstede, G., & Hofstede, G. J. (1991). Cultures and organizations: Software of the mind. London: McGraw-Hill.

    Google Scholar 

  • Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26.

    Article  Google Scholar 

  • King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information Management, 43(6), 740–755.

    Article  Google Scholar 

  • Lee, M. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54(2), 506–516.

    Article  Google Scholar 

  • Leidner, D. E., & Kayworth, T. (2006). Review: A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quarterly, 30(2), 357–399.

    Article  Google Scholar 

  • Liu, I.-F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C.-H. (2010). Extending the TAM model to explore the factors that affect intention to use an online learning community. Computers & Education, 54(2), 600–610.

    Article  Google Scholar 

  • Ma, W. W. K., & Yuen, A. H. K. (2011). E-learning system acceptance and usage pattern. In T. Teo (Ed.), Technology acceptance in education (pp. 201–216). Rotterdam, The Netherlands: Sense Publishers.

    Chapter  Google Scholar 

  • Mou, J., Shin, D.-H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: A longitudinal investigation. Behaviour & Information Technology, 36(2), 125–139.

    Article  Google Scholar 

  • Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150–162.

    Google Scholar 

  • Spector, J. M., & Yuen, A. H. K. (2016). Educational technology program and project evaluation. New York: Taylor and Francis.

    Google Scholar 

  • Straub, D. W. (1994). The effect of culture on IT diffusion: E-mail and FAX in Japan and the US. Information Systems Research, 5(1), 23–47.

    Article  Google Scholar 

  • Straub, D. W., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information Management, 33(1), 1–11.

    Article  Google Scholar 

  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302–312.

    Article  Google Scholar 

  • Teo, T. (2014). Unpacking teachers’ acceptance of technology: Tests of measurement invariance and latent mean differences. Computers & Education, 75, 127–135.

    Article  Google Scholar 

  • Teo, T., Luan, W. S., & Sing, C. C. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: An application of the Technology Acceptance Model (TAM). Educational Technology and Society, 11(4), 265–280.

    Google Scholar 

  • Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly, 37(1), 21–54.

    Article  Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

    Google Scholar 

  • Wang, W. T., & Wang, C. C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53(3), 761–774.

    Article  Google Scholar 

  • Wu, & Zhang, C. (2014). Empirical study on continuance intentions towards E-learning 2.0 systems. Behaviour & Information Technology, 33(10), 1027–1038.

    Article  Google Scholar 

  • Yuen, A. H. K. (2011). Exploring teaching approaches in blended learning. Research and Practice in Technology Enhanced Learning, 6(1), 3–23.

    Google Scholar 

  • Yuen, A. H. K., Fox, R., Sun, A., & Deng, L. (2009). Course management systems in higher education: Understanding student experiences. Interactive Technology and Smart Education, 6(3), 189–205.

    Article  Google Scholar 

  • Yuen, A. H. K., & Ma, W. W. K. (2008). Exploring teacher acceptance of e-learning technology. Asia-Pacific Journal of Teacher Education, 36(3), 229–243.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. The University of Hong Kong, Pok Fu Lam, Hong Kong

    Miaoting Cheng, Allan Hoi Kau Yuen, Qi Li & Ying Song

Authors
  1. Miaoting Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Allan Hoi Kau Yuen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ying Song
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Education Studies, Hong Kong Baptist University, Hong Kong, China

    Liping Deng

  2. Learning Commons, Technological and Higher Education Institute of Hong Kong (THEi), Hong Kong, China

    Will W. K. Ma

  3. Hong Kong Association for Educational Communications and Technology (HKAECT), Hong Kong, China

    Cheuk Wai Rose Fong

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cheng, M., Yuen, A.H.K., Li, Q., Song, Y. (2018). A Cross-cultural Exploration of Primary Students’ Learning Management System Use: A Mixed Methods Approach. In: Deng, L., Ma, W., Fong, C. (eds) New Media for Educational Change. Educational Communications and Technology Yearbook. Springer, Singapore. https://doi.org/10.1007/978-981-10-8896-4_9

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-8896-4_9

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8895-7

  • Online ISBN: 978-981-10-8896-4

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics

Search

Navigation