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Effective Integration of a Student Response System in An Undergraduate Computer Science Classroom: An Active-Engagement Instructional Strategy

  • Conference paper
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ICT Education (SACLA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 642))

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Abstract

Classroom learning experiences are often hindered by a lack of student participation and superficial interactions with the course content. Student engagement is essential in ensuring that students take an active role in their own learning experiences. A student response system (SRS) is an educational technology that has proven valuable in increasing student engagement. In this study, an active-engagement instructional strategy was devised to guide the effective integration of an SRS as part of classroom activities. A case study was then conducted to investigate the impact of the instructional strategy on student engagement in an undergraduate Computer Science classroom. Analysis of the collected data indicates that the integration of the SRS supported active learning and increased students’ motivation to participate in classroom activities. The instructional strategy served as an effective guide for instructional activities and helped to identify instances that could sabotage the facilitation of student engagement.

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References

  1. Allen, D., Tanner, K.: Infusing active learning into the large-enrollment Biology class: seven strategies, from the simple to complex. Cell Biol. Educ. 4(4), 262–268 (2005)

    Article  Google Scholar 

  2. Barkley, E.: Student Engagement Techniques. Jossey-Bass, San Francisco (2010)

    Google Scholar 

  3. Bergtrom, G.: Content vs. learning: an old dichotomy in science courses. J. Asynchronous Learn. Netw. 15(1), 33–44 (2011)

    Google Scholar 

  4. Cain, J., Black, E.P., Rohr, J.: An audience response system strategy to improve student motivation, attention, and feedback. Am. J. Pharm. Educ. 73(2), 21 (2009)

    Article  Google Scholar 

  5. Cubric, M., Jefferies, A.: The benefits and challenges of large-scale deployment of electronic voting systems: University student views from across different subject groups. Comput. Educ. 87, 98–111 (2015)

    Article  Google Scholar 

  6. Efstathiou, N., Bailey, C.: Promoting active learning using audience response system in large bioscience classes. Nurse Educ. Today 32(1), 91–95 (2012)

    Article  Google Scholar 

  7. Freeman, S., Eddy, S.L., McDonough, M., Smith, M.K., Okoroafor, N., Jordt, H., Wenderoth, M.P.: Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. 111(23), 8410–8415 (2014)

    Article  Google Scholar 

  8. Gagné, R.: The Conditions of Learning and the Theory of Instruction, 4th edn. Holt, Rinehart and Winston, New York (1985)

    Google Scholar 

  9. Gleason, B.L., Peeters, M.J., Resman-Targoff, B.H., Karr, S., McBane, S., Kelley, K., Thomas, T., Denetclaw, T.H.: An active-learning strategies primer for achieving ability-based educational outcomes. Am. J. Pharm. Educ. 75(9), 186 (2011)

    Article  Google Scholar 

  10. Green, M., Sulbaran, T.: Motivation assessment instrument for virtual reality scheduling simulator. In: Reeves, T., Yamashita, S. (eds.) Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, pp. 45–50. Association for the Advancement of Computing in Education (AACE), Chesapeake (2006)

    Google Scholar 

  11. Greenstein, T.N.: Methods of Family Research. Sage Publications, Thousand Oaks (2006)

    Book  Google Scholar 

  12. Hall, R.H., Collier, H.L., Thomas, M.L., Hilgers, M.G.: A student response system for increasing engagement, motivation, and learning in high enrollment lectures. In: Proceedings of the Eleventh Americas Conference on Information Systems (AMCIS), p. 255. Curran Associates Inc., Omaha (2005)

    Google Scholar 

  13. Han, J.H.: Closing the missing links and opening the relationships among the factors: a Literature review on the use of clicker technology using the 3P model. Educ. Technol. Soc. 17(4), 150–168 (2014)

    Google Scholar 

  14. Hwang, I., Wong, K., Lam, S.L., Lam, P.: Student response (clicker) systems: Preferences of Biomedical Physiology students in Asian classes. Electron. J. e-Learn. 13(5), 347–356 (2015)

    Google Scholar 

  15. Kolb, A.Y., Kolb, D.: The Kolb learning style inventory – version 3.1 (2005) Technical Specifications. http://learningfromexperience.com/media/2010/08/tech_spec_lsi.pdf

  16. Kuh, G.D., Kinzie, J., Buckley, J.A., Bridges, B.K., Hayek, J.C.: Piecing Together the Student Success Puzzle. Wiley Subscription Services at Jossey-Bass, San Francisco (2007)

    Google Scholar 

  17. Lee, J.W., Shih, M.: Teaching practices for the student response system at National Taiwan University. Int. J. Autom. Smart Technol. 5(3), 145–150 (2015)

    Article  Google Scholar 

  18. Linnenbrink, E.A., Pintrich, P.R.: Role of affect in cognitive processing in academic contexts. In: Dai, D., Sternburg, R. (eds.) Motivation, Emotion, and Cognition, pp. 57–87. Lawrence Erlbaum Associates, Mahwah (2004)

    Google Scholar 

  19. LoPresto, M.C., Slater, T.F.: A new comparison of active learning strategies to traditional lectures for teaching college Astronomy. J. Astronom. Earth Sci. Educ. 3(1), 59–76 (2016)

    Google Scholar 

  20. Morice, J., Michinov, N., Delaval, M., Sideridou, A., Ferrières, V.: Comparing the effectiveness of peer instruction to individual learning during a chromatography course. J. Comput. Assist. Learn. 31(6), 722–733 (2015)

    Article  Google Scholar 

  21. Stefani, L.: Engaging our students in the learning process: some points for consideration. Int. J. Scholarsh. Teach. Learn. 2(1), 1–6 (2008)

    Google Scholar 

  22. Ulbig, S.: Engaging the unengaged: using visual images to enhance students’ “Poli Sci 101” experience. Polit. Sci. Polit. 42(2), 385–391 (2009)

    Article  Google Scholar 

  23. Williams, M., Burden, R.L.: Psychology for Language Teachers. Cambridge University Press, Cambridge (1997)

    Google Scholar 

  24. Wodi, S.W.: The concept of educational technology: problems and prospects of information and communication technology (ICT) in Nigeria. Int. J. Afr. Stud. 2009(1), 4–10 (2009)

    Google Scholar 

  25. Yin, R.: Case Study Research: Design and Methods. Sage Publishing, Beverly Hills (1994)

    Google Scholar 

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Correspondence to Fani Moses Radebe .

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Radebe, F.M., Nel, L. (2016). Effective Integration of a Student Response System in An Undergraduate Computer Science Classroom: An Active-Engagement Instructional Strategy. In: Gruner, S. (eds) ICT Education. SACLA 2016. Communications in Computer and Information Science, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-47680-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-47680-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47679-7

  • Online ISBN: 978-3-319-47680-3

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