Skip to main content

iPAC Survey Development: Capturing Mobile Pedagogical Practices

  • Chapter
  • First Online:
Theorising and Implementing Mobile Learning

Abstract

This chapter focuses on the design of iPAC survey instruments developed during two of our major m-learning research projects. The first instrument focuses on the evaluation of teachers’ general (or typical) mobile pedagogical approaches reported as being used over the past year, while the second instrument facilitates the evaluation of approaches adopted in one specific m-learning task. Both instruments have teacher and student versions. Their validity was further improved in a recent study described later in the chapter. Implications for teacher education are examined, and validated scales are presented.

This chapter is an adaptation of the following published article: Kearney, M., Burke, P., & Schuck, S. (2019). The iPAC scale: A survey to measure distinctive mobile pedagogies. TechTrends, 63(6), 751–764. Creative Commons Attribution 4.0 International (CC BY) license.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

  • Basoglu, E. B., & Akdemir, O. (2010). A comparison of undergraduate students’ English vocabulary learning: Using mobile phones and flash cards. Turkish Online Journal of Educational Technology, 9(3), 1–7. Retrieved from https://eric.ed.gov/?id=EJ898010.

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. https://doi.org/10.1037/0033-2909.107.2.238.

    Article  Google Scholar 

  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606. https://doi.org/10.1037/0033-2909.88.3.588.

  • Browne, M. W., & Cudeck, R. (1993).Alternative ways of assessing model fit.Sage Focus Editions.

    Google Scholar 

  • Burden, K., & Kearney, M. (2018). Designing an educator toolkit for the mobile learning age. International Journal of Mobile and Blended Learning (IJMBL), 10(2), 88–99. https://doi.org/10.4018/ijmbl.2018040108.

  • Campbell, A., & Groundwater-Smith, S. (Eds.). (2007). An ethical approach to practitioner research: Dealing with issues and dilemmas in action research. Routledge.

    Google Scholar 

  • Cavus, N., & Ibrahim, D. (2009). m-Learning: An experiment in using SMS to support learning new English language words. British Journal of Educational Technology, 40(1), 78–91. https://doi.org/10.1111/j.1467-8535.2007.00801.x.

    Article  Google Scholar 

  • Domingo, M., & GargantĂ©, A. (2016). Exploring the use of educational technology in primary education: Teachers’ perception of mobile technology learning impacts and applications’ use in the classroom. Computers in Human Behavaviour, 56(1), 21–28. https://doi.org/10.1016/j.chb.2015.11.023.

  • 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 

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • Hung, J.- L., & Zhang, K. (2012). Examining mobile learning trends 2003–2008: a categorical meta-trend analysis using text mining techniques. Journal of Computer Higher Education, 24(1), 1–17. https://doi.org/10.1007/s12528-011-9044-9.

  • Kearney, M., Burden, K., & Rai, T. (2015). Investigating teachers’ adoption of signature mobile pedagogies. Computers & Education, 80, 48–57. https://doi.org/10.1016/j.compedu.2014.08.009.

  • Kearney, M., Burke, P., & Schuck, S. (2019). The iPAC scale: A survey to measure distinctive mobile pedagogies. TechTrends, 63(6), 751–764.

    Article  Google Scholar 

  • Kearney, M., Schuck, S., Burden, K., & Aubusson, P. (2012). Viewing mobile learning from a pedagogical perspective. Alt-J-Research in Learning Technology, 20(1). https://doi.org/10.3402/rlt.v20i0/14406.

  • Knezek, G., & Khaddage, F. (2012). Bridging formal and informal learning: A mobile learning attitude scale for higher education. British Journal of Social Sciences, 1(2), 101–116.

    Google Scholar 

  • Lai, C., Hwang, G., Liang, J., & Tsai, C. C. (2016). Differences between mobile learning environmental preferences of high school teachers and students in Taiwan: A structural equation model analysis. Educational Technology Research and Development, 64, 533–554. https://doi.org/10.1007/s11423-016-9432-y.

    Article  Google Scholar 

  • Lin, H.-H., Lin, S., Yeh, C.-H., Wang, Y.-S., & Jansen, J. (2016). Measuring mobile learning readiness: Scale development and validation. Internet Research, 26(1), 265–287. https://doi.org/10.1108/intr-10-2014-0241.

  • Quinn, C. (2000). mLearning: Mobile, wireless, in-yourpocket learning. LineZine, Fall 2000. Retrieved from http://www.linezine.com/2.1/features/cqmmwiyp.htm.

  • Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184. https://doi.org/10.1177/01466216970212006.

  • Steiger, J. H., & Lind, J. C. (1980, May). Statistically-based tests for the number of common factors. Handout for a presentation delivered at the meeting of the Psychometric Society, Iowa City, IA.

    Google Scholar 

  • Stockwell, G. (2007). Vocabulary on the move: Investigating an intelligent mobile phone-based vocabulary tutor. Computer Assisted Language Learning, 20, 365–383. https://doi.org/10.1080/09588220701745817.

    Article  Google Scholar 

  • Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10. https://doi.org/10.1007/bf02291170.

  • Uzunboylu, H., & Ozdamli, F. (2011). Teacher perception for m-learning: Scale development and teachers’ perceptions. Journal of Computer Assisted Learning, 27(6), 544–556. https://doi.org/10.1111/j.1365-2729.2011.00415.x.

  • Uzunboylu, H., Hursen, C., Ozuturk, G., & Demirok, M. (2015). Determination of Turkish university students’ attitudes for mobile integrated EFL classrooms in North Cyprus and scale development: ELLMTAS. Journal of Universal Computer Science, 22(10), 1283–1296.

    Google Scholar 

  • Valk, J. H., Rashid, A. T., & Elder, L. (2010). Using mobile phones to improve educational outcomes: An analysis of evidence from Asia. The International Review of Research in Open and Distributed Learning, 11(1), 117–140. https://doi.org/10.19173/irrodl.v11i1.794.

    Article  Google Scholar 

  • Wang, Y.-S. (2007). Development and validation of a mobile computer anxiety scale. British Journal of Educational Technology, 38(6), 990–1009. https://doi.org/10.1111/j.1467-8535.2006.00687.x.

  • Wang, M., Shen, R., Novak, D., & Pan, X. (2009). The impact of mobile learning on students’ learning behaviours and performance: Report from a large blended classroom. British Journal of Educational Technology, 40(4), 673–695. https://doi.org/10.1111/j.1467-8535.2008.00846.x.

    Article  Google Scholar 

  • Wertsch, J. V. (1991). Voices of the mind: A sociocultural approach to mediated action. Cambridge: Harvard University Press.

    Google Scholar 

  • Wu, W. H., Wu, Y. C. J., Chen, C. Y., Kao, H. Y., Lin, C. H., & Huang, S. H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59(2), 817–827. https://doi.org/10.1016/j.compedu.2012.03.016.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matthew Kearney .

Appendix: Final Validated iPAC Scales

Appendix: Final Validated iPAC Scales

(The Authors Provide These Scales in Freely Available Online Surveys for Teachers and Researchers to Use, at the iPAC Website via www.ipacmobilepedagogy.com)

Stem (General version): In the m-learning activities in <cohort><subject> over the past year, my students typically …

Stem (Specific version): When my students in <cohort> used mobile devices to learn in this <subject> activity, they …

Personalisation > Agency

1. Chose the place to do the activity, e.g. chose to work on the bus, at home, in the playground

2. Determined the pace at which they did the activity

3. Decided what they wanted to learn, e.g. chose their own question, problem or project to explore

Personalisation > Customisation

4. Were guided by the app(s) based on their past use, e.g. by previous game challenge levels, YouTube recommendations prompted by their previous views

5. Tailored app(s) settings to their preferences, e.g. customised location on/off, camera/microphone access, time limit settings

6. Received individualised information through the app(s) about themselves, e.g. information about the number of steps walked, calories eaten, hours slept

7. Customised feeds and links for their learning needs, e.g. tailored social media or news feeds

Authenticity > Context

8. Learned in a place suggested by the topic, e.g. learned about stars under the night sky; pollution at a local stream; History at the site of an ancient battle

9. Learned in a realistic, virtual space, e.g. use of augmented (AR) or virtual reality (VR) apps, science simulation

10. Learned at a time suggested by the topic, e.g. night-time observation of stars; weekend analysis of sporting performance

Authenticity > Task

11. Worked like an expert, e.g. collected data using GPS like a geographer; measured using an inclinometer app like a scientist; composed music or lyrics to a song like a musician.

12. Participated in real-world activities that benefit society, e.g. citizen science project that included real-life experts; environmental task on waste

13. Learned serendipitously in an unplanned way, e.g. during a game, research prompted by an unexpected query

14. Engaged in activities related to everyday life, e.g. developing a budget

Collaboration > Conversation

15. Discussed the work online with their friends/peers, e.g. discussed ideas via email, SMS, Skype, Facebook, etc.

16. Discussed the work online with people they don’t know, e.g. discussed with a student gamer from another school, tweeted a NASA scientist, asked a question to a Brainpop mathematician

17. Communicated with others using a variety of text, image or video modes, e.g. by using SMS, Instagram, Skype

Collaboration > Co-creation

18. Worked together to create a digital product, e.g. co-created a video, podcast, photo, iBook, document

19. Shared digital content, e.g. shared a video, podcast, photo, document

20a (General) Contributed to existing digital content, e.g. tagged a photo, commented on a blog post, played a multi-player game

20b (Specific) Contributed to existing digital content

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kearney, M., Burden, K., Schuck, S. (2020). iPAC Survey Development: Capturing Mobile Pedagogical Practices. In: Theorising and Implementing Mobile Learning. Springer, Singapore. https://doi.org/10.1007/978-981-15-8277-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-8277-6_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8276-9

  • Online ISBN: 978-981-15-8277-6

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics