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Context aware mobile learning: A systematic mapping study

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Abstract

Context Aware Mobile Learning (CAML) provides a learning experience tailored to educational needs and the particular circumstance of the learner. CAML has become an active area of research. The aim of this paper is to provide an overview of research conducted on CAML through counting and classifying contributions. The applied method is a systematic mapping study using eight major publication databases. Initially, 115 studies were retrieved after assessing against the selection criteria 90 studies were selected. The results provide useful insight into the current state of research, the geographical distribution of papers, venues of publication, and types of studies published. The results were useful to position future research activities.

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Authors and Affiliations

  1. Department of Computer Science and Information Systems, Fiji National University, Suva, Fiji

    Bimal Aklesh Kumar

  2. School of Mathematical and Computing Science, University of the South Pacific, Suva, Fiji

    Bibhya Sharma

  3. Institute of Mathematics and Computational Sciences, University of São Paulo, São Paulo, Brazil

    Elisa Yumi Nakagawa

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  1. Bimal Aklesh Kumar
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  2. Bibhya Sharma
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  3. Elisa Yumi Nakagawa
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Correspondence to Bimal Aklesh Kumar.

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Appendix 1 (List of Selected Papers)

Appendix 1 (List of Selected Papers)

1. Paredes, R. G., Ogata, H., Saito, N. A., Yin, C., Yno, Y., Oishi, Y., & Ueda, T. (2005, November). LOCH: supporting informal language learning outside the classroom with handhelds. In Wireless and Mobile Technologies in Education, 2005. WMTE 2005. IEEE International Workshop on (pp. 5-pp). IEEE.

2. Yang, S. J., & Chen, I. Y. (2006, July). Providing context aware learning services to learners with portable devices. In Advanced Learning Technologies, 2006. Sixth International Conference on (pp. 840–842). IEEE.

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4. Hu, B., & Moore, P. (2006, May). Context modelling to support location based cooperative mobile learning. In Computer Supported Cooperative Work in Design, 2006. CSCWD’06. 10th International Conference on (pp. 1–5). IEEE.

5. Krause, A., Smailagic, A., & Siewiorek, D. P. (2006). Context-aware mobile computing: Learning context-dependent personal preferences from a wearable sensor array. IEEE Transactions on Mobile Computing, 5(2), 113–127.

6. Kuo, R., Wu, M. C., Chang, A., Chang, M., & Heh, J. S. (2007, July). Delivering context-aware learning guidance in the mobile learning environment based on information theory. In Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on (pp. 362–366). IEEE.

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8. Economides, A. A. (2008). Culture-aware collaborative learning. Multicultural Education & Technology Journal, 2(4), 243–267.

9. Rahman, S., Ogata, H., El-Bishouty, M. M., & Yano, Y. (2009). Visualization of Social Knowledge Awareness Map for Computer Supported Ubiquitous Learning. In 17th International Conference on Computers in Education, ICCE 2009.

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20. Aziz, Z., Anumba, C. J., & Peña-Mora, F. (2010). Using context-aware wireless technologies to support teaching and learning in built environment. International Journal of Construction Education and Research, 6(1), 18–29.

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41. Hsu, C. K., & Hwang, G. J. (2014). A context-aware ubiquitous learning approach for providing instant learning support in personal computer assembly activities. Interactive Learning Environments, 22(6), 687–703.

42. Moebert, T., Jank, H., Zender, R., & Lucke, U. (2014, July). A generalized approach for context-aware adaption in mobile e-learning settings. In Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on (pp. 143–145). IEEE.

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54. Supic, H. (2016, July). A model of a case-based approach to context-aware content sequencing in Mobile learning environments. In Information and Digital Technologies (IDT), 2016 International Conference on (pp. 261–265). IEEE.

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Kumar, B.A., Sharma, B. & Nakagawa, E.Y. Context aware mobile learning: A systematic mapping study. Educ Inf Technol 26, 2033–2052 (2021). https://doi.org/10.1007/s10639-020-10347-5

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