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Blended learning in higher education: Trends and capabilities

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Abstract

Education is a complex system that requires multiple perspectives and levels of analysis to understand its contexts, dynamics, and actors’ interactions, particularly concerning technological innovations. This paper aims to identify some of the most promising trends in blended learning implementations in higher education, the capabilities provided by the technology (e.g., datafication), and the contexts of use of these capabilities. This literature review selected and analyzed forty-five peer-reviewed journal articles. The findings highlight some common capabilities among digital educational technologies. In particular, digital tools or platforms with human-to-machine interaction capabilities may enhance automated processes for blended learning delivery modes. In this context, digital technologies such as video capsules and intelligent tutoring systems may improve learning-teaching activities. First, by providing access to more students and facilitating self-paced online learning activities. Second, by offering an individual path of learning for each student, thus improving out-of-class activities and feedback. Educational technology capabilities (ETC) provide complementary insights to identify the best approach when aligning learning goals in technology-based implementations. Further research will be required to empirically validate these results.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author (rcastro@icesi.edu.co) on reasonable request.

References

Studies included in the literature review

  • Arbaugh, J. B. (2014). What might online delivery teach us about blended management education? Prior perspectives and future directions. Journal of Management Education, 38(6), 784–817.

    Article  Google Scholar 

  • Ata, R. (2016). An exploration of higher education teaching in second life in the context of blended learning. Turkish Online Journal of Educational Technology, 15(3), 9–26.

    Google Scholar 

  • Bahji, S. E., El Alami, J., & Lefdaoui, Y. (2015). Learners' attitudes towards extended-blended learning experience based on the S2P learning model. International Journal of Advanced Computer Science and Applications, 6(10), 70–78.

    Google Scholar 

  • Bai, X., & Smith, M. B. (2010). Promoting hybrid learning through a sharable eLearning approach. Journal of Asynchronous Learning Networks, 14(3), 13–24.

    Google Scholar 

  • Brett, P. (2011). Students' experiences and engagement with SMS for learning in higher education. Innovations in Education and Teaching International, 48(2), 137–147. https://doi.org/10.1080/14703297.2011.564008.

    Article  MathSciNet  Google Scholar 

  • Chang, Y. H., & Liu, J. (2013). Applying an AR technique to enhance situated heritage learning in a ubiquitous learning environment. Turkish Online Journal of Educational Technology - TOJET, 12(3), 21–32.

    Google Scholar 

  • Collins, R. (2011). Credential inflation and the future of universities. Italian Journal of Sociology of Education, 2, 24.

    Google Scholar 

  • Danker, B. (2015). Using flipped classroom approach to explore deep learning in large classrooms. IAFOR Journal of Education, 3(1), 171–186.

    Article  Google Scholar 

  • Dursun, Ö. Ö., & Akbul, Y. (2012). Communicator style as a predictor of cyberbullying in a hybrid learning environment. Turkish Online Journal of Qualitative Inquiry, 3(3), 118–131.

    Google Scholar 

  • El-Ghareeb, H., & Riad, A. (2011). Empowering adaptive lectures through activation of intelligent and web 2.0 technologies. International Journal on E-Learning, 10(4), 365–391.

    Google Scholar 

  • Foshee, C. M., Elliott, S. N., & Atkinson, R. K. (2016). Technology-enhanced learning in college mathematics remediation. British Journal of Educational Technology, 47(5), 893–905.

    Article  Google Scholar 

  • Francis, R., & Shannon, S. J. (2013). Engaging with blended learning to improve students’ learning outcomes. European Journal of Engineering Education, 38(4), 359–369. https://doi.org/10.1080/03043797.2013.766679.

    Article  Google Scholar 

  • Garrison, D., & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. Internet and Higher Education, 10(3), 157–172. https://doi.org/10.1016/j.iheduc.2007.04.001.

    Article  Google Scholar 

  • Garrison, D., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. Internet and Higher Education, 7(2), 95–105. https://doi.org/10.1016/j.iheduc.2004.02.001.

    Article  Google Scholar 

  • Gerbic, P. (2011). Teaching using a blended approach--what does the literature tell us? Educational Media International, 48(3), 221–234. https://doi.org/10.1080/09523987.2011.615159.

    Article  Google Scholar 

  • Ginns, P., & Ellis, R. A. (2009). Evaluating the quality of e-learning at the degree level in the student experience of blended learning. British Journal of Educational Technology, 40(4), 652–663. https://doi.org/10.1111/j.1467-8535.2008.00861.x.

    Article  Google Scholar 

  • Graham, S. (2016). Bridging Urban Digital Divides? Urban Polarisation and Information and Communications Technologies (ICTs). Urban Studies, 39(1), 33–56.

  • Graham, C. R., Woodfield, W., & Harrison, J. B. (2013). A framework for institutional adoption and implementation of blended learning in higher education. Internet and Higher Education, 18, 4–14.

    Article  Google Scholar 

  • Greyling, F., Kara, M., Makka, A., & van Niekerk, S. (2008). IT worked for us: Online strategies to facilitate learning in large (undergraduate) classes. Electronic Journal of e-Learning, 6(3), 179–188.

    Google Scholar 

  • Gynther, K. (2016). Design framework for an adaptive MOOC enhanced by blended learning: Supplementary training and personalized learning for teacher professional development. Electronic Journal of e-Learning, 14(1), 15–30.

    Google Scholar 

  • Halverson, L. R., Graham, C. R., Spring, K. J., Drysdale, J. S., & Henrie, C. R. (2014). A thematic analysis of the most highly cited scholarship in the first decade of blended learning research. Internet & Higher Education, 20, 20–34. https://doi.org/10.1016/j.iheduc.2013.09.004.

    Article  Google Scholar 

  • Hoic-Bozic, N., Dlab, M. H., & Mornar, V. (2016). Recommender system and web 2.0 tools to enhance a blended learning model. IEEE Transactions on Education, 59(1), 39–44.

    Article  Google Scholar 

  • Hsieh, & Wu, M.-P. (2013). Exploring learning performance toward cognitive approaches of a virtual companion system in LINE app for m-learning. Eurasia Journal of Mathematics, Science & Technology Education, 9(4), 337–346.

    Google Scholar 

  • Khawaja, M. A., Prusty, G. B., Ford, R. A. J., Marcus, N., & Russell, C. (2013). Can more become less? Effects of an intensive assessment environment on Students' learning performance. European Journal of Engineering Education, 38(6), 631–651.

    Article  Google Scholar 

  • Kleinert, R., Heiermann, N., Plum, P. S., Wahba, R., Chang, D. H., Maus, M., et al. (2015). Web-based immersive virtual patient simulators: Positive effect on clinical reasoning in medical education. Journal of Medical Internet Research, 17(11). https://doi.org/10.2196/jmir.5035.

  • Kleß, E., & Pfeiffer, A. (2013). The bologna process and its changes for the teacher education in rhineland-palatinate, Germany-media-education-online as an innovative example for statewide cooperation of universities. [Article]. International Journal of Innovation and Learning, 13(2), 218–232. https://doi.org/10.1504/IJIL.2013.052289.

    Article  Google Scholar 

  • Laumakis, M., Graham, C. R., & Dziuban, C. (2009). The Sloan-C pillars and boundary objects as a framework for evaluating blended learning. Journal of Asynchronous Learning Networks, 13(1), 75–87.

  • Li, L.-Y., & Chen, G.-D. (2009). A coursework support system for offering challenges and assistance by analyzing Students' web portfolios. Educational Technology & Society, 12(2), 205–221.

    Google Scholar 

  • Littlejohn, A., Beetham, H., & McGill, L. (2012). Learning at the digital frontier: A review of digital literacies in theory and practice. Journal of Computer Assisted Learning, 28(6), 547–556. https://doi.org/10.1111/j.1365-2729.2011.00474.x.

    Article  Google Scholar 

  • Martin, F., & Whitmer, J. C. (2016). Applying learning analytics to investigate timed release in online learning. Technology, Knowledge and Learning, 21(1), 59–74.

    Article  Google Scholar 

  • Masikunas, G., Panayiotidis, A., & Burke, L. (2007). The use of electronic voting Systems in Lectures within business and marketing: A case study of their impact on student learning. ALT-J: Research in Learning Technology, 15(1), 3–20.

    Article  Google Scholar 

  • McLoughlin, C., & Lee, M. (2008). The three P's of pedagogy for the networked society: Personalization, participation, and productivity. International Journal of Teaching and Learning in Higher Education, 20(1), 10–27.

    Google Scholar 

  • Mitchell, P., & Forer, P. (2010). Blended learning: The perceptions of first-year geography students. Journal of Geography in Higher Education, 34(1), 77–89. https://doi.org/10.1080/03098260902982484.

    Article  Google Scholar 

  • Nakayama, M., Yamamoto, H., & Santiago, R. (2010). The role of essay tests assessment in e-learning: A Japanese case study. Electronic Journal of e-Learning, 8(2), 173–178.

    Google Scholar 

  • Parsad, B., Lewis, L., & Tice, P (2008). Distance education at degree-granting postsecondary institutions: 2006-2007. Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Retrieved from http://nces.ed.gov/pubs2009/2009044.pdf

  • Pellas, N., & Kazanidis, I. (2014). Engaging students in blended and online collaborative courses at university level through second life: Comparative perspectives and instructional affordances. New Review of Hypermedia & Multimedia, 20(2), 123–144. https://doi.org/10.1080/13614568.2013.856958.

    Article  Google Scholar 

  • Pellas, N., & Kazanidis, I. (2015). On the value of second life for Students' engagement in blended and online courses: A comparative study from the higher education in Greece. Education and Information Technologies, 20(3), 445–466.

    Article  Google Scholar 

  • Perišić, J., Milovanović, M., & Kazi, Z. (2018). A semantic approach to enhance moodle with personalization. Computer Applications in Engineering Education, 26(4), 884–901. https://doi.org/10.1002/cae.21929.

    Article  Google Scholar 

  • Picciano, A. (2009). Blending with purpose: The multimodal model. Journal of Asynchronous Learning Networks, v13 n1, p7–18.

  • Redecker, C., & Punie, Y. (2013). The future of learning 2025: developing a vision for change. Future Learning (Vol. 1, pp.  3–17).

  • Selwyn, N., & Facer, K. (2014). The sociology of education and digital technology: Past, present and future. Oxford Review of Education, 40(4), 482–496. https://doi.org/10.1080/03054985.2014.933005.

    Article  Google Scholar 

  • Shea, P., & Bidjerano, T. (2010). Learning presence: Towards a theory of self-efficacy, self-regulation, and the development of a communities of inquiry in online and blended learning environments. Computers & Education, 55(4), 1721–1731. https://doi.org/10.1016/j.compedu.2010.07.017.

    Article  Google Scholar 

  • Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/10.1177/0002764213498851.

    Article  Google Scholar 

  • Tapsis, N., Tsolakidis, K., & Vitsilaki, C. (2012). Virtual worlds and course dialogue. American Journal of Distance Education, 26(2), 96–109.

    Article  Google Scholar 

  • Torrisi-Steele, G., & Drew, S. (2013). The literature landscape of blended learning in higher education: The need for better understanding of academic blended practice. International Journal for Academic Development, 18(4), 371–383. https://doi.org/10.1080/1360144X.2013.786720.

    Article  Google Scholar 

  • Tshabalala, M., Ndeya-Ndereya, C., & van der Merwe, T. (2014). Implementing blended learning at a developing university: Obstacles in the way. Electronic Journal of e-Learning, 12(1), 101–110.

    Google Scholar 

  • Woods, R., Baker, J. D., & Hopper, D. (2004). Hybrid structures: Faculty use and perception of web-based courseware as a supplement to face-face instruction. Internet and Higher Education, 7, 281–297.

  • Yang, Y., Gamble, J., Hung, Y., & Lin, T. (2014). An online adaptive learning environment for critical-thinking-infused English literacy instruction. British Journal of Educational Technology, 45(4), 723–747.

    Article  Google Scholar 

Methodological and complementary sources

  • Adner, R., & Kapoor, R. (2010). Value creation in innovation ecosystems: How the structure of technological interdependence affects firm performance in new technology generations. Strategic Management Journal, 31(3), 306–333.

    Article  Google Scholar 

  • Berger, R. (2015). The digital transformation of industry. (pp. 52): The Federation of German Industries (BDI).

  • Branch, J., & Rocchi, F. (2015). Concept development: A primer. Philosophy of Management, 14(2), 111–133. https://doi.org/10.1007/s40926-015-0011-9.

    Article  Google Scholar 

  • Christensen, C. (1997). The innovator's dilemma : When new technologies cause great firms to fail. Boston: Harvard Business School.

    Google Scholar 

  • Christensen, C., Grossman, J., & Hwang, J. (2009). The innovator's prescription : A disruptive solution for health care. New York: McGraw-Hill.

    Google Scholar 

  • Christensen, C., Horn, M., & Johnson, C. (2011). Disrupting class : how disruptive innovation will change the way the world learns (Updated and expanded new ed.). New York: McGraw-Hill.

    Google Scholar 

  • Dahlstrom, E., Brooks, D. C., & Bichsel, J. (2014). The current ecosystem of learning management systems: Stutent, faculty, and IT perspectives. (27 ed., pp. 27).

  • Dutton, W. H. (2013). The Oxford handbook of internet studies. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Fagerberg, J., Mowery, D. C., & Verspagen, B. (2009). Innovation, path dependency and policy : The Norwegian case. In Oxford. New York: Oxford University Press.

    Google Scholar 

  • Fernandes, J., Costa, R., & Peres, P. (2016). Putting order into our universe: The concept of blended learning—A methodology within the concept-based terminology framework. Education Sciences, 6(2), 15.

    Article  Google Scholar 

  • Geels, F. W. (2005). Processes and patterns in transitions and system innovations: Refining the co-evolutionary multi-level perspective. Technological Forecasting and Social Change, 72(6), 681–696. https://doi.org/10.1016/j.techfore.2004.08.014.

    Article  Google Scholar 

  • Geels, F. W. (2011). The multi-level perspective on sustainability transitions: Responses to seven criticisms. Environmental Innovation and Societal Transitions, 1(1), 24–40. https://doi.org/10.1016/j.eist.2011.02.002.

    Article  Google Scholar 

  • Koza, M. P., & Lewin, A. Y. (1998). The co-evolution of strategic alliances. Organization Science, 9(3), 255–264.

    Article  Google Scholar 

  • Lievrouw, L. A., & Livingstone, S. M. (2002). Handbook of new media : social shaping and consequences of ICTs. London; Thousand Oaks [Calif.]: SAGE.

    Book  Google Scholar 

  • OECD (2014). Education at a glance 2014. OECD indicators (570 ed., pp. 570).

  • Rogers, E. M. (2003). Diffusion of innovations. New York: Free Press.

    Google Scholar 

  • Scott, C. L. (2015). The futures of learning 1 - why must learning content and methods change in the 21st century? UNESCO Education Research and Foresight (13-Sep-2015 ed., Vol. 13, pp. 16).

  • Selwyn, N. (2011). Education and technology : Key issues and debates. London; New York: Continuum International Pub. Group.

    Google Scholar 

  • Sydenham, P. H., & Thorn, R. (2005). Handbook of measuring system design (Vol. 1). Chichester [u.a.: Wiley.

  • Thomson, D. I. C. (2016). How online learning will transform legal education. In F. X. Olleros & M. Zhegu (Eds.), Research Handbooks on Digital Transformations (pp. 23–38).

    Chapter  Google Scholar 

  • Tiwana, A. (2014). Platform ecosystems aligning architecture, governance, and strategy: Morgan Kaufmann Publishers.

  • UNESCO (2016). Education 2030, Incheon declaration and framework for action - towards inclusive and equitable quality education and lifelong learning for all. UNESCO (pp. 51).

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Acknowledgments

The author appreciates the helpful comments and suggestions of Xavier Olleros, Majlinda Zhegu, Diego Correa, Oleg Litvinski, and Jose Montes.

Funding

This research was partially funded by the Universidad Icesi (Colombia) and an internal grant received from the University of Québec at Montréal - UQAM (Canada).

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Correspondence to Robin Castro.

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Castro, R. Blended learning in higher education: Trends and capabilities. Educ Inf Technol 24, 2523–2546 (2019). https://doi.org/10.1007/s10639-019-09886-3

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