Technology Blended Learning Approaches and the Level of Student Engagement with Subject Content

Arthur Seakhoa-King, Zeina Nehme, Shameem Ali

Abstract


This paper evaluates the implementation of technology blended teaching and learning in the Foundation Mathematics Program at a private college of higher education in Kuwait with a view to identifying improvements in student performance.  The traditional classroom teaching was blended with a significant component of online learning with MML (MyMathLab), involving in-class tutorials and outside of class online activities. The aim of introducing this approach was largely to achieve a greater level of engagement with the course content and to increase the amount of practice time students devoted to doing problem solving exercises.  The study used data generated by the MML tools as well as data on success rates from previous semesters when only the traditional approaches were used for teaching and learning in the Foundation Program.  The study found that there was an increase of between 12% and 35% in the normal expected time required for problem-solving practice with the MML system. The greatest advantage was the student activity monitoring data available from the system could be used for identifying students at risk of failure and developing tailored and targeted support programs and strategies.  In addition, comparison of results from previous traditional approach and the newly introduced blended approach revealed that grade inflation can be avoided and a greater degree of fairness can result in online grading.

 


Keywords


Keywords: Blended Learning, MyMathLab, Foundation Mathematics, Support, Grade Inflation

Full Text:

PDF

References


References

Basham, J., Smeltzer, A. & Pianfetti, E. (2013). An integrated framework used to increase preservice teacher NETS-T ability. Journal of Technology and Teacher Education, 257-276.

Borman, D. & Sleigh, A. (2011). An evaluation of the use of interactive approaches and integrated on-line resources. Teaching Mathematics Applications, 30, 166-177.

Bulger, M. E., Mayer, R. E., Almeroth, K. C., & Blau, S. D. (2008). Measuring Learner Engagement in Computer-Equipped College Classrooms. Journal of Educational Multimedia and Hypermedia, 17(2),129-143. Available at SSRN: http://ssrn.com/abstract=1859239

Butcher, K. F., McEwan, P. J. & Weerapana, A. (2014). The effects of an anti-grade-inflation policy at Wellesley College. Journal of Economic Perspectives, 28(3), 189-204.

Chickering, A. & Ehrmann, S. C. (1996). Implementing the seven principles: technology as lever. AAHE Bulletin. 1996. Retrieved 1 Aug 2014, from http://www.iupui.edu/~cletcrse/ncaa/seven.htm

Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences. Hillsdale, NJ: Erlbaum.

Creswell, J. W. (1994). Research Design - Qualitative and Quantitative Approaches. California: Saga.

Davidson-Shivers, G.V. & Rasmussen, K. L. (2006). Web-based learning: design, implementation and evaluation. New Jersey: Pearson.

Dennis, Emmett C. (2003). Enhancement Effect of MyMathLab and WebCT in a Math Class. Electronic Proceedings of the Sixteenth Annual International Conference on Technology in Collegiate Mathematics. Chicago, Illinois, October 30-November 2, 2003. Paper S056. Retrieved July 14, 2013 from http://archives.math.utk.edu/ICTCM/VOL16/S056/paper.pdf

Eadie, G. M. (2001). The Impact of ICT on Schools: Classroom Design and Curriculum Delivery. Wellington: Samuel Mardson Collegiate School.

Fisher, C. & Sadera, W. A. (2011). Comparing student learning and satisfaction between learning environments in continuing medical education. International Journal of Instructional Technology and Distance Learning, 8(5), 29-38.

Glass, J. & Sue, V. (2008). Student preferences, satisfaction, and perceived learning in an online mathematics class. Journal of Online Learning and Teaching, 4(3), 325-340.

Goldin, C. (2013). Can ‘Yellen Effect’Attract Young Women to Economics? Bloomberg View, October 14. http://www.bloombergview.com/articles/2013-10-14/can-yellen-effect-attract -young-women-to-economics-.

Hayfa, N. & Othaman, H. (2014). The Use of an Interactive Website as an Assistive Technology in University Calculus Course: A Synergist for Teaching and Learning?, Athens: ATINER’S Conference Paper Series, No: EMS2014-1294. Retrieved from http://www.atiner.gr/papers/EMS2014-1294.pdf

Jung, I. (2011). The dimensions of e-learning quality: From the learner's perspective. Educational Technology Research and Development, 59(4), 445-464.

Kazmer, M. M. (2005). How technology affects students’ departures from online learning communities. Newsletter ACM SIGGROUP Bulletin-Special issue on online learning communities,25(1), 25-31.

Keengwe, J., Onchwari, G. & Wachira, P. (2008). The use of computer tools to support meaningful learning. AACE Journal, 16(1), 77-92.

Kirkwood, A. (2009). E-Learning: You don't always get what you hope for. Technology, Pedagogy and Education, 18(2), 107-121.

Law, C. Y., Ng, L. N., Goh, W. W., Tay, C. L., & Sek, Y. W. (2012). Students’ Perceptions of MyMathLab: An Online Learning Management System. International Journal of e-Education, e-Business, e-Management and e-Learning,2(1), 23-27.

Lin, M. L. (2012). Students' motivation and attitudes in an online distance English course for placement year undergraduates in Taiwan (Doctoral dissertation, Queen's University Belfast). http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.579768

Miles, M. B., and Huberman, A.M. (1984). Qualitative Data Analysis. London, Sage.

Niess, M. L. (2005). Preparing teachers to teach science and mathematics with technology: Developing a technology pedagogical content knowledge. Teacher and Teacher Education, 21(5), 505-524.

Owens, E. W., & Waxman, H. C. (1994). Comparing the effectiveness of computer assisted instruction and conventional instruction in mathematics for African American postsecondary students. International Journal of Instructional Media, 21(4), 327-336.

Peck, K. L. & Jobe, H. (2008). Classrooms for the Future: Preliminary Results, Pennsylvania Educational Technology Expo & Conference (PETE&C). Hershey, PA.

Prosser, M. & Trigwell, K. (1999). Understanding Learning and Teaching: the experience in higher education. Buckingham: Open University Press.

Puybaraud, M & Hahn, H (2012). Digital natives: a tech-savvy generation enters the workplace. Expert Insights. Retrieved from: http://workdesign.com/2012/02/digital-natives-a-tech-savvy-generation-enters-the-workplace/ .

Reba M. & Biggers S. (2008). Active Learning in Mathematics via Tablet PCs, Web-Based Software, Podcasts, and Interactive Homework Systems. Electronic Proceedings of the Twentieth Annual International Conference on Technology in Collegiate Mathematics. San Antonio, Texas, March 6-9, 2008. Paper S057. Retrieved August, 10, 2014 from http://archives.math.utk.edu/ICTCM/VOL20/S057/paper.pdf

Scida, E. E. & Saury, R. E. (2006). Hybrid courses and their impact on student and classroom performance: A case study at the University of Virginia. CALICO Journal, 23(3), 517-531.

Speckler, M. D. (2012). Making the Grade, V.5: 77 Data-driven Case Studies Illustrating How the MyMathLab Family of Products Supports Student Achievement, Boston, USA: Pearson. Retrieved on June 2014 from http://www.pearsonmylabandmastering.com/global/northamerica/results/files/MTGv5.pdf

Westover, J. H. & Westover, J. P. (2014). Teaching hybrid courses across disciplines: Effectively combining traditional learning and e-learning pedagogy. International Journal of Information and Education Technologies, 4(1), 93-96.

Windisch, E & Medman, N (2008). Understanding the digital natives. Ericsson Business Review, 1, 36-39.

Woodbridge, J. (2004). Technology integration as a transforming teaching strategy. Retrieved from http://www.techlearning.com/story/showArticle.jhtml?articleID=17701367


Refbacks

  • There are currently no refbacks.


e-ISSN: 1694-2116

p-ISSN: 1694-2493