Alden, J. (2013). Accommodating mobile learning in college programs. Journal of Asynchronous Learning Networks, 17(1), 109–122.
Google Scholar
Amiel, T., & Reeves, T. C. (2008). Design-based research and educational technology: Rethinking technology and the research agenda. Educational Technology & Society, 11, 29–40.
Google Scholar
Anderson, T., & Shattuck, J. (2012). Design-based research: A decade of progress in education research. Educational Researcher, 41(1).
Anohah, E., Oyelere, S. S., Suhonen, J., & Sutinen, E. (2017). Trends of mobile learning in computing education from 2006 to 2014: A systematic review of research publications. International Journal of Mobile and Blended Learning (IJMBL), 9(1), 16–33.
Article
Google Scholar
Bati, T. B., Gelderblom, H., & Biljon, J. v. (2014). A blended learning approach for teaching computer programming: Design for large classes in sub-Saharan Africa. Computer Science Education, 24(1), 71–99.
Article
Google Scholar
Bidin, S., & Ziden, A. A. (2013). Adoption and application of mobile learning in the education industry. Procedia-Social and Behavioral Sciences, 90, 720–729.
Article
Google Scholar
Boyinbode, O., Bagula, A., & Ng'ambi, D. (2012). A mobile learning application for delivering educational resources to mobile devices. In Information society (i-society), international conference (pp. 120–125).
Google Scholar
Chu, H. C., Hwang, G. J., Tsai, C. C., & Tseng, J. C. R. (2010). A two-tier test approach to developing location-aware mobile learning systems for natural science courses. Computers & Education, 55(4), 1618–1627.
Article
Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Lawrence Earlbaum Associates.
MATH
Google Scholar
Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. The Journal of the Learning Sciences, 13(1), 15–42.
Article
Google Scholar
de Villiers, M.R., Harpur, P.A. (2013). Design-based research-the educational technology variant of design research: illustrated by the design of an m-learning environment. In proceedings of the South African institute for computer scientists and information technologists conference, 252–261.
Dishman, E. (2003). Designing for the new old - asking, observing and performing future elders. In B. Laurel (Ed.), Design research - methods and perspectives (pp. 41–48). The MIT Press.
Eagleton, T. (1983). Literacy theory: an introduction. Minneapolis: University of Minnesota Press.
Google Scholar
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.
Article
Google Scholar
Huang, J. J. S., Yang, S. J. H., Huang, Y.-M., & Hsiao, I. Y. T. (2010). Social learning networks: Build mobile learning networks based on collaborative services. Journal of Educational Technology & Society, 13(3), 78–92.
Google Scholar
Hürst, W., Lauer, T., Nold, E. (2007). A study of algorithm animations on mobile devices. In Proc. of the 38 SIGCSE technical symposium on Computer science education (SIGCSE ‘07), ACM, New York, NY, USA, 39(1), 160–164.
Hwang, G.-J., & Chang, S.-C. (2015). Effects of a peer competition-based mobile learning approach on students' affective domain exhibition in social studies courses. British Journal of Educational Technology. doi:10.1111/bjet.12303.
Google Scholar
Hwang, G.-J., Lai, C.-L., & Wang, S.-Y. (2015). Seamless flipped learning: a mobile technology-enhanced flipped classroom with effective learning strategies. Journal of Computers in Education, 2(4), 449–473.
Article
Google Scholar
IBM Corp. (2012). IBM SPSS statistics for windows, version 21.0. Armonk: IBM Corp.
Google Scholar
Ihantola, P., Helminen, J., & Karavirta, V. (2013). How to study programming on mobile touch devices: interactive python code exercises. In Proceedings of the 13th Koli Calling International Conference on Computing Education Research (pp. 51–58). ACM.
Isiaka, R. M., Adewole, K. S., & Olayemi, R. T. (2011). Implementing mobile-learning in Nigeria tertiary educational system– A feasibility study. International Journal of Science and Advanced Technology, 1(7), 84–90.
Google Scholar
Ivica, B., Ante, B., Martin, S., & Drljevic, N. (2013). Teaching and learning computer science sorting algorithms with mobile devices: A case study. Computer Applications in Engineering Education, 21(S1), E41–E50.
Article
Google Scholar
Jacob, S.M., Issac, B. (2008). The mobile devices and its mobile learning usage analysis. In Proceedings of the international Multi Conference of engineers and computer scientists, 1.
Järvinen, P. (2007). Action research is similar to design science. Quality & Quantity, 41(1), 37–54.
Article
Google Scholar
Johannesson, P., & Perjons, E. (2014). An introduction to design science. Springer.
Jones, C. A., Scanlon, E., & Clough, G. (2013). Mobile learning: two case studies of supporting inquiry learning in informal and semiformal setting. Computers & Education, 61, 21–32.
Article
Google Scholar
Jordine, T., Liang, Y., & Ihler, E. (2015). A mobile device based serious gaming approach for teaching and learning java programming. International Journal of Interactive Mobile Technologies, 9(1), 53.
Article
Google Scholar
Kafyulilo, A. (2014). Access, use and perceptions of teachers and students towards mobile phones as a tool for teaching and learning in Tanzania. Education and Information Technologies, 19(1), 115–127.
Article
Google Scholar
Kang, M., & Shin, W. S. (2015). An empirical investigation of student acceptance of synchronous e-learning in an online university. Journal of Educational Computing Research, 52(4), 475–495.
Article
Google Scholar
Karavirta, V., Helminen, J., & Ihantola, P. (2012). A mobile learning application for Parsons problems with automatic feedback. In Proceedings of the 12th Koli Calling International Conference on Computing Education Research (pp. 11–18). ACM.
Kerr, A. (2011). Teaching and learning in large class at Ontario universities: An exploratory study. Toronto: Higher Education Quality Council of Ontario.
Google Scholar
Klopfer, E., Sheldon, J., Perry, J., & Chen, V. H.-H. (2012). Ubiquitous games for learning (UbiqGames): Weatherlings, a worked example. Journal of Computer Assisted Learning, 28(5), 465–476.
Article
Google Scholar
Kukulska-Hulme, A., & Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported collaboration and interaction. ReCALL, 20(3), 271–289.
Article
Google Scholar
Laurillard, D. (2007). Pedagogical forms for mobile learning. In N. Pachler (Ed.), Mobile learning: towards a research agenda (pp. 153–175). London: WLE Centre, IoE.
Google Scholar
Leinonen, T., Keune, A., Veermans, M., & Toikkanen, T. (2016). Mobile apps for reflection in learning: A design research in K-12 education. British Journal of Educational Technology, 47(1), 184–202.
Article
Google Scholar
Liu, T. C., Lin, Y. C., Tsai, M. J., & Paas, F. (2012). Split-attention and redundancy effects in mobile learning in physical environments. Computers and Education, 58(1), 172–180.
Article
Google Scholar
Liu, T. C., Peng, S. Y., Wu, W. S., & Lin, M. S. (2009). The effects of mobile natural-science learning based on the 5E learning cycle: A case study. Educational Technology & Society, 12(4), 344–358.
Google Scholar
Mahmoud, Q. H., & Dyer, A. (2008). Mobile devices in an introductory programming course. Computer-IEEE Computer Society, 41(6), 108.
Article
Google Scholar
Mbogo, C., Blake, E., Suleman, H. (2013). A mobile scaffolding application to support novice learners of computer programming. In Proceedings of the Sixth International Conference on Information and Communications Technologies and Development, (2), 84–87.
Minjuan, W., Ruimin, S., Daniel, N., & Xiaoyan, P. (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.
Article
Google Scholar
Moreira, F., Ferreira, M.J., (2016). Teaching and learning modeling and specification based on mobile devices and cloud. In 11th Iberian Conference on Information Systems and Technologies (CISTI), IEEE, 1–6.
Mwangi, M. M., Mwakaba, N., Ronoh-Boreh, F., & Impio, J. (2012). Building a case for m-learning in Africa: African youth perspectives on education. In CHI '12 extended abstracts on human factors in computing systems (pp. 521–536). New York: ACM.
Google Scholar
O'Bannon, B. W., & Thomas, K. M. (2015). Mobile phones in the classroom: Preservice teachers answer the call. Computers & Education, 85, 110–122.
Article
Google Scholar
Osang, F. B., Ngole, J., & Tsuma, C. (2013). Prospects and challenges of m-learning implementation in Nigeria: case study National Open University of Nigeria (NOUN). In International conference on ICT for Africa (pp. 1–13).
Google Scholar
Oyelere, S. S., & Suhonen, J. (2016). Design and implementation of MobileEdu m-learning application for computing education in Nigeria: A design research approach. In Proceedings of Fourth International Conference on Learning and Teaching in Computing and Engineering, IEEE, pp. 27–31.
Oyelere, S. S., Suhonen, J., & Sutinen, E. (2016a). M-learning: A new paradigm of learning ICT in Nigeria. International Journal of Interactive Mobile Technologies, 10(1), 35–44.
Article
Google Scholar
Oyelere, S.S., Suhonen, J., Shonola, S.A., Joy, M.S. (2016b). Discovering students mobile learning experiences in higher education in Nigeria. In Frontiers in Education Conference, USA, 1–7.
Oyelere, S. S., Paliktzoglou, V., & Suhonen, J. (2016c). M-learning in Nigerian higher education: an experimental study with Edmodo. International Journal of Social Media and Interactive Learning Environments, 4(1), 43–62.
Article
Google Scholar
Ozdamli, F., & Uzunboylu, H. (2015). M-learning adequacy and perceptions of students and teachers in secondary schools. British Journal of Educational Technology, 46(1), 159–172.
Article
Google Scholar
Pears, A., Rogalli, M., (2011). mJeliot: ICT support for interactive teaching of programming. In Frontiers in Education Conference, T1J-1.
Prenner, G., Rotheneder, A. Schikuta, E. (2014). NetLuke: web-based teaching of algorithm and data structure concepts harnessing mobile environments. In Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services, ACM, 7–16.
Quinn, C. (2000). mLearning: making mobile, wireless In-Your-Pocket-Learning. http://www.linezine.com/2.1/features/cqmmwiyp.htm.
Reeves, T. C. (2006). Design research from a technology perspective. Educational Design Research, 1(3), 52–66.
Rekkedal, T., Dye, A. (2007). Mobile distance learning with PDAs: Development and testing of pedagogical and system solutions supporting mobile distance learners. The International Review of Research in Open and Distributed Learning, 8(2), http://www.irrodl.org/index.php/irrodl/article/view/349/871.
Roschelle, J., Rafanan, K., Bhanot, R., Estrella, G., Penuel, B., Nussbaum, M., & Claro, S. (2010). Scaffolding group explanation and feedback with handheld technology: impact on students' mathematics learning. Educational Technology Research and Development, 58(4), 399–419.
Article
Google Scholar
Rubin, H. J., & Rubin, I. S. (2011). Qualitative interviewing: The art of hearing data. Incorporated, California: SAGE Publications.
Google Scholar
Sharples, M., Taylor, J., Vavoula, G. (2005). Towards a theory of mobile learning. Proceedings of mLearn, 1–9.
Sharples, M., Taylor, J., & Vavoula, G. (2007). A theory of learning for the mobile age. In R. Andrews & C. Haythornthwaite (Eds.), The SAGE handbook of e-learning research (pp. 221–247). London: Sage.
Chapter
Google Scholar
Shih, J.-L., Chuang, C.-W., & Hwang, G.-J. (2010). An inquiry-based mobile learning approach to enhancing social science learning effectiveness. Journal of Educational Technology & Society, 13(4), 50–62.
Google Scholar
Shonola, S. A., & Joy, M. S. (2015). Security of m-learning system: A collective responsibility. International Journal of Mobile and Interactive Learning, 9(3), 64–70.
Article
Google Scholar
Shonola, S. A., Joy, M. S., Oyelere, S. S., & Suhonen, J. (2016). The impact of mobile devices for learning in higher education institutions: Nigerian universities case study. International Journal of Modern Education and Computer Science, 8(8), 43–50.
Article
Google Scholar
Simon, H. (1969). The sciences of the artificial. Cambridge: MIT Press.
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.
Article
Google Scholar
Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275.
Article
Google Scholar
Tortorella, R. A. W., & Graf, S. (2017). Considering learning styles and context-awareness for mobile adaptive learning. Education and Information Technologies, 22(1), 297–315.
Article
Google Scholar
Tsai, C. C., Chai, C. S., Wong, B. K. S., Hong, H., & Tan, S. C. (2013). Positioning design epistemology and its applications in education technology. Educational Technology & Society, 16(2), 81–90.
Google Scholar
van den Akker, J., Gravemeijer, K., McKenney, S., & Nieveen, N. (2007). Introducing educational design research. In J. van den Akker, K. Gravemeijer, S. McKenney, & N. Nieveen (Eds.), Educational design research (pp. 3–7). London: Routledge.
Google Scholar
Velghe, F. (2013). Literacy acquisition, informal learning and mobile phones in a south African township. In Proceedings of the Sixth International Conference on Information and Communication Technologies and Development, ACM, New York, (1), 89–99.
Vinay, S., Vaseekharan, M., Mohamedally, D. (2013). RoboRun: a gamification approach to control flow learning for young students with TouchDevelop. arXiv preprint arXiv:1310.0810.
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.
Article
Google Scholar
Winter, R. (2008). Design science research in Europe. European Journal of Information Systems, 17(5), 470–475.