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On the Line pp 157-173 | Cite as

Implementation of a Next-Generation Course Architecture for Blended Learning

  • Rodney Beard
Chapter

Abstract

A learning architecture for class management and student learning is described that incorporates a mix of online technology, mobile technology, and face-to-face learning. The architecture was implemented for four classes in Agribusiness Management in the Oklahoma State University program at International College Beijing, China Agricultural University in 2016. The architecture involves a combination of Internet technologies in a blended learning environment. Students work both online at home and in class to interact with next-generation learning management systems such as Piazza and Nb and to complete exercises using Jupyter interactive notebooks which allow a mix of verbal and numeric exercises to be completed by students in a single interactive document. Mobile technology is incorporated by linking classroom materials using QR codes so that students can directly access class materials using their phones. Class activity involved a mix of more traditional class delivery using lectures and mini-lectures where appropriate and computer labs where students engaged with both online materials in the classroom with instructor support. A number of these lab sessions were taught using methods borrowed from just-in-time teaching. The use of online anonymous discussions on Piazza and Nb lowered the participation threshold for students. In addition, Piazza’s support for equation typesetting allowed students to easily ask quantitative questions online. File management for the courses employed the Git version control system so that class materials were simply dropped into a local directory on the instructor’s laptop which synced with all the online learning systems. The method was used for teaching a range of subjects in Agribusiness; however, it can be employed in both blended and fully online learning environments. The paper will also discuss some challenges of using technology in teaching in a country like China in which the IT infrastructure is still being developed.

Keywords

Blended learning Online learning Business education Mobile technology Interactive notebooks 

Notes

Acknowledgments

Thanks are due to James Williams at Renmin University for discussions on using Nb for lecture notes, David Karger from the Nb team at MIT CSAIL for providing crucial support when needed, and discussions with colleagues on teaching in China at ICB.

References

  1. Arnold-Garza, S. (2014). The flipped classroom assessing an innovative teaching model for effective and engaging library instruction. College & Research Libraries News, 75(1), 10–13.CrossRefGoogle Scholar
  2. Bailey, T., & Forbes, J. (2005). Just-in-time teaching for CS0. ACM Sigcse Bulletin, 37, 366–370.CrossRefGoogle Scholar
  3. Baird, D. E., & Fisher, M. (2005). Neomillennial user experience design strategies: Utilizing social networking media to support “always on” learning styles. Journal of Educational Technology Systems, 34(1), 5–32.CrossRefGoogle Scholar
  4. Chalice, D. R. (1995). How to teach a class by the modified Moore method. American Mathematical Monthly, 102(4), 317–322.CrossRefGoogle Scholar
  5. Claerbout, J. (1992). Electronic documents give reproducible research a new meaning. Proceedings of the 62nd Annual International Meeting of the Society of Exploration Geophysics (pp. 601–604).Google Scholar
  6. Clark, R. C. (1998a). Recycling knowledge with learning objects. Training and Development, 42, 60–61.Google Scholar
  7. Clark, R. C. (1998b). Building expertise: Cognitive methods for training & performance improvement. Washington, DC: ISPI.Google Scholar
  8. Clark, R. C. (2000). Four architectures of instruction. Performance Improvement, 39(10), 31–38.CrossRefGoogle Scholar
  9. Cohen, D. W. (1982). A modified Moore method for teaching undergraduate mathematics. American Mathematical Monthly, 89(7), 487–490.CrossRefGoogle Scholar
  10. Formica, S. P., Easley, J. L., & Spraker, M. (2010). Transforming common-sense beliefs into Newtonian thinking through just-in-time teaching. Physical Review Physics Education Research, 6(2), 020106.CrossRefGoogle Scholar
  11. Foster, J. A., Barnett, M. I., Van Houten, K., & Sheneman, L. (1995). (In)formal methods: Teaching program derivation via the Moore method. Computer Science Education, 6(1), 67–91.CrossRefGoogle Scholar
  12. Gentleman, R. (2005). Reproducible research: A bioinformatics case study. Statistical Applications in Genetics and Molecular Biology, 4(1), 1–25.CrossRefGoogle Scholar
  13. Gilboy, M. B., Heinerichs, S., & Pazzaglia, G. (2015). Enhancing student engagement using the flipped classroom. Journal of Nutrition Education and Behavior, 47(1), 109–114.CrossRefGoogle Scholar
  14. Gross, D., Pietri, E. S., Anderson, G. C., Moyanocamihort, K., & Graham, M. J. (2015). Increased preclass preparation underlies student outcome improvement in the flipped classroom. CBE-Life Sciences Education, 14(4), ar36.CrossRefGoogle Scholar
  15. Higdon, J., & Topaz, C. M. (2009). Blogs and wikis as instructional tools: A social software adaptation of just-in-time teaching. College Teaching, 57(2), 105–110.CrossRefGoogle Scholar
  16. Howard, J. R. (2004). Just-in-time teaching in sociology or how I convinced my students to actually read the assignment. Teaching Sociology, 32(4), 385–390.CrossRefGoogle Scholar
  17. Jacot, M. T., Noren, J., & Berge, Z. L. (2014). The flipped classroom in training and development: Fad or the future? Performance Improvement, 53(9), 23–28.CrossRefGoogle Scholar
  18. Jun, L. (2012). The policy and strategy for blended learning in a Chinese open university. International Conference on Hybrid Learning and Education.Google Scholar
  19. Karp, R. M. (2011). Understanding science through the computational lens. Journal of Computer Science and Technology, 26(4), 569–577.CrossRefGoogle Scholar
  20. Knight, J. K., & Wood, W. B. (2005). Teaching more by lecturing less. Cell Biology Education, 4(4), 298–310.CrossRefGoogle Scholar
  21. Knuth, D. E. (1984). Literate programming. The Computer Journal, 27(2), 97–111.Google Scholar
  22. Laine, C., Goodman, S. N., Griswold, M. E., & Sox, H. C. (2007). Reproducible research: Moving toward research the public can really trust. Annals of Internal Medicine, 146(6), 450–453.CrossRefGoogle Scholar
  23. Lithiaote, S. (2012). Literate program execution for teaching computational science. Procedia Computer Science, 9, 1723–1732.CrossRefGoogle Scholar
  24. Marrs, K. A., & Novak, G. M. (2004). Just-in-time teaching in biology: Creating an active learner classroom using the internet. Cell Biology Education, 3(1), 49–61.CrossRefGoogle Scholar
  25. Novak, G. M., Patterson, E. T., Gavrin, A., Christian, W., & Forinash, K. (1999). Just-in-time teaching. American Journal of Physics, 67(10), 937–938.CrossRefGoogle Scholar
  26. Pienta, N. J. (2016). A “flipped classroom” reality check. Journal of Chemical Education, 93(1), 1–2.CrossRefGoogle Scholar
  27. Shum, S., & Cook, C. R. (1994). Using literate programming to teach good programming practices. ACM Sigcse Bulletin, 26, 66–70.CrossRefGoogle Scholar
  28. Stodden, V. (2012). Reproducible research: Tools and strategies for scientific computing. Computing in Science and Engineering, 14(4), 11–12.CrossRefGoogle Scholar
  29. Strayer, J. F. (2012). How learning in an inverted classroom influences cooperation, innovation and task orientation. Learning Environments Research, 15(2), 171–193.CrossRefGoogle Scholar
  30. Zhao, J. (2008). An examination of students’ perception of blended E-learning in Chinese higher education. International Conference on E-learning and Games.Google Scholar
  31. Zuber, W. J. (2016). The flipped classroom, a review of the literature. Industrial and Commercial Training, 48(2), 97–103.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.International College BeijingChina Agricultural UniversityBeijingPeople’s Republic of China

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