Journal of Science Education and Technology

, Volume 25, Issue 2, pp 149–160 | Cite as

The Use of Mobile Learning in Science: A Systematic Review

  • Helen Crompton
  • Diane Burke
  • Kristen H. Gregory
  • Catharina Gräbe


The use of mobile learning in education is growing at an exponential rate. To best understand how mobile learning is being used, it is crucial to gain a collective understanding of the research that has taken place. This systematic review reveals the trends in mobile learning in science with a comprehensive analysis and synthesis of studies from the year 2000 onward. Major findings include that most of the studies focused on designing systems for mobile learning, followed by a combination of evaluating the effects of mobile learning and investigating the affective domain during mobile learning. The majority of the studies were conducted in the area of life sciences in informal, elementary (5–11 years) settings. Mobile devices were used in this strand of science easily within informal environments with real-world connections. A variety of research methods were employed, providing a rich research perspective. As the use of mobile learning continues to grow, further research regarding the use of mobile technologies in all areas and levels of science learning will help science educators to expand their ability to embrace these technologies.


Mobile learning Mobile devices Science education Science pedagogy Educational technology 


  1. Ally M, Prieto-Blázquez J (2014) What is the future of mobile learning in education? Mob Learn Appl High Educ (Spec Sect) 11(1):142–151Google Scholar
  2. Avaamidou L (2008) Prospects for the use of mobile technologies in science education. AACE J 16(3):347–365Google Scholar
  3. Britten N, Campbell R, Pope C, Donovan J, Morgan M, Pill R (2002) Using meta ethnography to synthesis qualitative research: a worked example. J Health Serv Res Policy 7(4):209–215CrossRefGoogle Scholar
  4. Chen Y-S, Kwo T-C, Sheu J-P (2005) Realizing outdoor independent learning with a butterfly-watching mobile learning system. J Educ Comput Res 33(4):395–417CrossRefGoogle Scholar
  5. Chen C-H, Hwang G-J, Tsai C-H (2014) A progressive prompting approach to conducting context-aware learning activities for natural science courses. Interact Comput 26(4):348–359CrossRefGoogle Scholar
  6. Chu H-C, Hwang G-J, Tsai C-C (2010) A knowledge engineering approach to developing mindtools for context-aware ubiquitous learning. Comput Educ 54(1):289–297CrossRefGoogle Scholar
  7. Crompton H (2013a) A historical overview of mobile learning: toward learner-centered education. In: Berge ZL, Muilenburg LY (eds) Handbook of mobile learning. Routledge, Florence, pp 3–14Google Scholar
  8. Crompton H (2013b) Mobile learning: new approach, new theory. In: Berge ZL, Muilenburg LY (eds) Handbook of mobile learning. Routledge, Florence, pp 47–57Google Scholar
  9. Crompton H, Traxler J (in press) Mobile learning in development contexts: policy and research. United Nations Educational, Scientific, and Cultural Organization (UNESCO), Paris Google Scholar
  10. Dekhane S, Tsoi MY (2012) Designing a mobile application for conceptual understanding: integrating learning theory with organic chemistry learning needs. Int J Mob Blended Learn 4(3):34–52CrossRefGoogle Scholar
  11. Frohberg D, Göth C, Schwabe G (2009) Mobile learning projects—a critical analysis of the state of the art. J Comput Assist Learn 25(4):307–331CrossRefGoogle Scholar
  12. Hemingway P, Brereton N (2009) In: Hayward Medical Group (ed) What is a systematic review? [Article]. Retrieved 24 Oct 2014
  13. Hsiao H-S, Lin C-C, Feng R-T, Li KJ (2010) Location based services for outdoor ecological learning system: design and implementation. J Educ Technol Soc 13(4):98–111Google Scholar
  14. Hsieh S-W, Jang Y-R, Hwang G-J, Chen N-S (2011) Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning. Comput Educ 57(1):1194–1201CrossRefGoogle Scholar
  15. Hung JL, Zhang K (2012) Examining mobile learning trends 2003–2008: a categorical meta-trend analysis using text mining techniques. J Comput High Educ 24(1):1–17CrossRefGoogle Scholar
  16. Hung Pi-Hsia, Hwang Gwo-Jen, Su I-H, Lin I-H (2012) A concept-map integrated dynamic assessment system for improving ecology observation competences in mobile learning. Turk Online J Educ Technol 11(1):10–19Google Scholar
  17. Hwang GJ, Tsai CC (2011) Research trends in mobile and ubiquitous learning: a review of publication in selected journals from 2001 to 2010. Br J Educ Technol 42(4):E65–E70CrossRefGoogle Scholar
  18. Hwang G-J, Chu H-C, Shih J-L, Huang S-H, Tsai C-C (2010) A decision-tree-oriented guidance mechanism for conducting nature science observation activities in a context-aware ubiquitous learning environment. Educ Technol Soc 13(2):53–64Google Scholar
  19. Johnson L, Adams Becker S, Estrada V, Freeman A (2014) NMC Horizon Report: 2014:k-12 Edition. The New Media Consortium, AustinGoogle Scholar
  20. King A (2008) In vivo coding. In: Given LM (ed) The SAGE encyclopedia of qualitative research methods. SAGE, London, pp 473–474Google Scholar
  21. Kismihók G (2007) The role of mobile learning in European education: mobile learning country report Taiwan. In: Dias A, Keegan D, Kismihokp G, Mileva N, Rekkedal T (eds) Achievements of mobile learning today. Exact, Dublin, Ireland, pp 143–163Google Scholar
  22. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC et al (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med 151(4):65–94CrossRefGoogle Scholar
  23. Liu M, Scordiono R, Geurtz R, Navarrete C, Ko Y, Lim M (2014) A look at research on mobile learning in K-12 education from 2007 to the present. J Res Technol Educ 46(4):325–372CrossRefGoogle Scholar
  24. Metz S (2014) Science teaching and learning in the 21st century. Sci Teach 81(6):3–4Google Scholar
  25. National Research Council (2009) Learning science in informal environments: people, places, and pursuits. The National Academies Press, WashingtonGoogle Scholar
  26. Next Generation Science Standards (2013) How to read the Next Generation Science Standards (NGSS).
  27. Oakley A (2012) Foreword. In: Gough D, Oliver S, Thomas J (eds) An introduction to systematic reviews. SAGE, London, pp vii–xGoogle Scholar
  28. Peng H, Chuang P-Y, Hwang G-J, Chu H-C, Wu T-T, Huang S-X (2009) Ubiquitous Performance-Support System as mindtool: a case study of instructional decision making and learning assistant. J Educ Technol Soc 12(1):107–120Google Scholar
  29. Sandelowski M, Voils CJ, Leeman J, Crandlee JL (2011) Mapping the mixed methods—mixed research synthesis terrain. J Mixed Methods Res 6(4):317–331CrossRefGoogle Scholar
  30. Sharples M, Taylor J, Vavoula G (2007) A theory of learning for the mobile age. In: Andrews R, Haythornthwaite C (eds) The Sage handbook of elearning research. Sage, London, pp 221–247Google Scholar
  31. Song Y (2014) “Bring Your Own Device (BYOD)” for seamless science inquiry in a primary school. Comput Educ 74:50–60CrossRefGoogle Scholar
  32. Song Y, Wong L-H, Looi C-K (2012) Fostering personalized learning in science inquiry supported by mobile technologies. Educ Technol Res Dev 60(4):679–701CrossRefGoogle Scholar
  33. Traxler J (2009) Learning in a mobile age. Int J Mob Blended Learn 1(1):1–12CrossRefGoogle Scholar
  34. Tucker-Raymond E, Varelas M, Pappas CC (2013) Children’s conceptions of being scientists. In: Varelas M, Pappas CC (eds) Children’s ways with science and literacy: integrated multimodal enactments in urban elementary classrooms. Routledge, New York, pp 186–209Google Scholar
  35. Vogel JJ, Vogel DS, Canon-Bowers CA, Muse K, Wright M (2006) Computer gaming and interactive simulation for learning: a meta-analysis. Educ Comput Res 34(3):243–299CrossRefGoogle Scholar
  36. Wingkvist A, Ericcson M (2011) A survey of research methods and purposes in mobile learning. Int J Mob Blended Learn 3(1):1–17CrossRefGoogle Scholar
  37. Wu WH, Wu YC, Chen CY, Kao HY, Lin CH, Huang SH (2012) Review of trends from mobile learning studies: a meta-analysis. Comput Educ 59(2):817–827CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Helen Crompton
    • 1
  • Diane Burke
    • 2
  • Kristen H. Gregory
    • 1
  • Catharina Gräbe
    • 1
  1. 1.Teaching and LearningOld Dominion UniversityNorfolkUSA
  2. 2.Education DivisionKeuka CollegeKeuka ParkUSA

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