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Mobile learning system for enabling collaborative and adaptive pedagogies with modular digital learning contents

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Abstract

New developments in technology-enhanced and mobile learning advocate for learning personalization, adaptation and student collaboration. Many existing learning systems and a vast body of research work focus on a single aspect or advantage of technology that enhances learning experience, creating systems tailored for a specific use with limited extensibility, adaptivity and collaboration possibilities. There is dearth of more complete solution that would allow for utilization of the full potential of state-of-the-art technologies for implementing new pedagogies and ways of learning without the need for complete existing solution redesign. In this paper we propose a system with the overarching idea that existing digital learning lessons can be systematically transformed so that they utilize contemporary learning pedagogies of adaptation and collaborative learning. By exploring the technology affordances throughout three case studies, an architectural approach to modularizing and extending existing lessons using adaptive or collaborative pedagogies is demonstrated and advocated for.

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References

  • Alvarez, C., Alarcon, R., & Nussbaum, M. (2011). Implementing collaborative learning activities in the classroom supported by one-to-one mobile computing: A design-based process. Journal of Systems and Software, 84(11), 1961–1976. https://doi.org/10.1016/j.jss.2011.07.011.

    Article  Google Scholar 

  • Bower, M., Dalgarno, B., Kennedy, G. E., Lee, M. J. W., & Kenney, J. (2015). Design and implementation factors in blended synchronous learning environments: Outcomes from a cross-case analysis. Computers & Education, 86, 1–17. https://doi.org/10.1016/j.compedu.2015.03.006.

    Article  Google Scholar 

  • Brusilovsky, P., & Peylo, C. (2007). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education (IJAIED), 13, 159–172.

    Google Scholar 

  • Chiang, T. H. C., Yang, S. J. H., & Hwang, G. (2014). An augmented reality-based mobile learning system to improve students’ learning achievements and motivations in natural science inquiry activities. Educational Technology & Society, 17, 352–365. https://doi.org/10.1109/ISMAR.2006.297800.

    Google Scholar 

  • El Guabassi, I., Bousalem, Z., Al Achhab, M., JELLOULI, I., & Mohajir, B. E. (2018). Personalized adaptive content system for context-aware ubiquitous learning. Procedia Computer Science, 127(8), 444–453. https://doi.org/10.1016/j.procs.2018.01.142.

    Article  Google Scholar 

  • Fita, A., Monserrat, J. F., Moltó, G., Mestre, E. M., & Rodriguez-Burruezo, A. (2016). Use of synchronous e-learning at university degrees. Computer Applications in Engineering Education, 24(6), 982–993. https://doi.org/10.1002/cae.21773.

    Article  Google Scholar 

  • Garcia-Cabot, A., De-Marcos, L., & Garcia-Lopez, E. (2015). An empirical study on m-learning adaptation: Learning performance and learning contexts. Computers & Education, 82, 450–459. https://doi.org/10.1016/j.compedu.2014.12.007.

    Article  Google Scholar 

  • Holenko Dlab, M., Boticki, I., Hoic-Bozic, N., & Looi, C. (2017). Adaptivity in synchronous mobile collaborative learning. In L. Gómez Chova, I. López Martínez, & A. Candel Torres (Eds.), Proceedings of the International Conference on Education and New Learning Technologies - EDULEARN17 (pp. 454–460). Barcelona: IATED Academy.

  • Holenko Dlab, M., Hoic-Bozic, N., & Boticki, I. (2017b). A design-based approach to developing a mobile learning system. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 11(10), 2320–2325.

    Google Scholar 

  • Hsiao, I. H., Sosnovsky, S., & Brusilovsky, P. (2010). Guiding students to the right questions: Adaptive navigation support in an E-Learning system for Java programming. Journal of Computer Assisted Learning, 26(4), 270–283. https://doi.org/10.1111/j.1365-2729.2010.00365.x.

    Article  Google Scholar 

  • Jagušt, T., Botički, I., & So, H.-J. (2018). Examining competitive, collaborative and adaptive gamification in young learners' math learning. Computers & Education, 125, 444–457. https://doi.org/10.1016/j.compedu.2018.06.022.

    Article  Google Scholar 

  • Jagušt, T., Mekterović, I., & Botički, I. (2015). The experiences of setting up, developing and implementing a mobile learning project in Croatia: The SCOLLAm project. In 2015 IEEE Frontiers in Education Conference (FIE). IEEE. https://doi.org/10.1109/FIE.2015.7344160.

  • Järvelä, S., Kirschner, P. A., Panadero, E., Malmberg, J., Phielix, C., Jaspers, J., et al. (2014). Enhancing socially shared regulation in collaborative learning groups: Designing for CSCL regulation tools. Educational Technology Research and Development, 63(1), 125–142. https://doi.org/10.1007/s11423-014-9358-1.

    Article  Google Scholar 

  • Kirschner, P. A. (2017). Stop propagating the learning styles myth. Computers & Education, 106, 166–171. https://doi.org/10.1016/j.compedu.2016.12.006.

    Article  Google Scholar 

  • Looi, C., Lim, K. F., Pang, J., Lay, A., Koh, H., Seow, P., et al. (2016). Bridging formal and informal learning with the use of mobile technology. In C. S. Chai, C. P. Lim, & C. M. Tan (Eds.), Future learning in primary schools (pp. 79–96). New York: Springer.

    Chapter  Google Scholar 

  • Luo, L., Yang, Y., & Wei, Y. (2017). Research on adaptive mobile collaborative learning system. ACM Computing Surveys, 50(3), 413–423.

    Google Scholar 

  • Madhubala, R., & Akila, A. (2017). Context aware and adaptive mobile learning: A survey. Advances in Computational Sciences and Technology, 10(5), 1355–1370.

    Google Scholar 

  • Marcos-García, J. A., Martínez-Monés, A., & Dimitriadis, Y. (2015). DESPRO: A method based on roles to provide collaboration analysis support adapted to the participants in CSCL situations. Computers & Education, 82, 335–353. https://doi.org/10.1016/j.compedu.2014.10.027.

    Article  Google Scholar 

  • Martin, S., Diaz, G., Plaza, I., Ruiz, E., Castro, M., & Peire, J. (2011). State of the art of frameworks and middleware for facilitating mobile and ubiquitous learning development. Journal of Systems and Software, 84(11), 1883–1891. https://doi.org/10.1016/j.jss.2011.06.042.

    Article  Google Scholar 

  • Mutahi, J., Bent, O., Kinai, A., Weldemariam, K., & Sengupta, B. (2015). Capturing learner’s activity events from a mobile learning system using adaptive event framework. In Proceedings - 2nd ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2015, (pp. 109–112). https://doi.org/10.1109/mobilesoft.2015.23.

  • O’Malley, C., Vavoula, G., Glew, J. P., Taylor, J., Sharples, M., Lefrere, P., & Waycott, J. (2005). Guidelines for learning/teaching/tutoring in a mobile environment. Public Deliverable from the MOBILearn Project (D.4.1).

  • Perveen, A. (2016). Synchronous and Asynchronous E-Language Learning: A Case Study of Virtual University of Pakistan. Open Praxis, 8(1), 21–39. https://doi.org/10.5944/openpraxis.8.1.212.

    Article  Google Scholar 

  • Rahul Raj, C. P., & Tolety, S. B. (2012). A study on approaches to build cross-platform mobile applications and criteria to select appropriate approach. 2012 Annual IEEE India Conference, INDICON 2012, 625–629. https://doi.org/10.1109/indcon.2012.6420693.

  • Sharples, M., Adams, A., Alozie, N., Ferguson, R., Fitzgerald, E., Gaved, M., & Yarnall, L. (2015). Innovating Pedagogy makers.

  • Shute, V. J., & Zapata-Rivera, D. (2012). Adaptive educational systems. Adaptive Technologies for Training and Education, 7(27), 7–27.

    Article  Google Scholar 

  • Soflano, M., Connolly, T. M., & Hainey, T. (2015). An application of adaptive games-based learning based on learning style to teach SQL. Computers & Education, 86, 192–211. https://doi.org/10.1016/j.compedu.2015.03.015.

    Article  Google Scholar 

  • Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer-supported collaborative learning: An historical perspective. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 409–426). Cambridge: Cambridge University Press.

    Google Scholar 

  • Strijbos, J.-W., & Weinberger, A. (2010). Emerging and scripted roles in computer-supported collaborative learning. Computers in Human Behavior, 26(4), 491–494. https://doi.org/10.1016/J.CHB.2009.08.006.

    Article  Google Scholar 

  • Su, C. H., & Cheng, C. H. (2015). A mobile gamification learning system for improving the learning motivation and achievements. Journal of Computer Assisted Learning, 31(3), 268–286. https://doi.org/10.1111/jcal.12088.

    Article  Google Scholar 

  • Sun, D., Looi, C.-K., & Xie, W. (2014). Collaborative Inquiry with a web-based science learning environment: When teachers enact it differently. Educational Technology & Society, 17(4), 390–403.

    Google Scholar 

  • Syvänen, A., Beale, R., Sharples, M., Ahonen, M., & Lonsdale, P. (2005). Supporting pervasive learning environments: Adaptability and context awareness in mobile learning. In Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005, 2005, (pp. 251–253). https://doi.org/10.1109/wmte.2005.62

  • Veerman, A. L., & Veldhuis-Diermanse, A. E. (2001). Collaborative learning through computer-mediated communication in academic education. In Proceedings European Perspectives on Computer Supported Collaborative Learning : Euro-CSCL (pp. 625–632). Maastricht : Maastricht McLuhan Institute.

  • Wald, M., Li, Y., & Draffan, E. A. (2014). Synote: collaborative mobile learning for all. Procedia Computer Science, 27, 240–250. https://doi.org/10.1016/j.procs.2014.02.027.

    Article  Google Scholar 

  • Wen, C., & Zhang, J. (2015). Design of a microlecture mobile learning system based on smartphone and web platforms. IEEE Transactions on Education, 58(3), 203–207. https://doi.org/10.1109/TE.2014.2363627.

    Article  Google Scholar 

  • Wong, L. H., & Looi, C. K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the literature. Computers & Education, 57(4), 2364–2381. https://doi.org/10.1016/j.compedu.2011.06.007.

    Article  Google Scholar 

  • Xanthopoulos, S., & Xinogalos, S. (2013). A comparative analysis of cross-platform development approaches for mobile applications. In Proceedings of the 6th Balkan Conference in Informatics on - BCI’13, (p. 213). https://doi.org/10.1145/2490257.2490292.

  • Zhao, X., Anma, F., Ninomiya, T., & Okamoto, T. (2008). Personalized adaptive content system for context-aware mobile learning. IJCSNS International Journal of Computer Science and Network Security, 8, 153–161.

    Google Scholar 

  • Zhao, X., & Okamoto, T. (2008). A device-independent system architecture for adaptive mobile learning. Eighth IEEE International Conference on Advanced Learning Technologies, 2008, 23–25. https://doi.org/10.1109/ICALT.2008.21.

    Article  Google Scholar 

  • Zurita, G., & Nussbaum, M. (2007). A conceptual framework based on activity theory for mobile CSCL. British Journal of Educational Technology, 38(2), 211–235. https://doi.org/10.1111/j.1467-8535.2006.00580.x.

    Article  Google Scholar 

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Correspondence to Tomislav Jagušt.

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Jagušt, T., Botički, I. Mobile learning system for enabling collaborative and adaptive pedagogies with modular digital learning contents. J. Comput. Educ. 6, 335–362 (2019). https://doi.org/10.1007/s40692-019-00139-3

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