Abstract
Technology is one of the powerful media in education. Especially, the remedial instruction by computer technology is widely used from K-12 to higher education. This study applied the grounded theory approach analyzing data with visual association map to find the impact factors in English remedial e-learning instruction. The significances of this paper are proposing the results with visual representation and with an event scenario to instructors or instructional designers. The results indicated that the engineer school, science school, management school and concrete-sequential learning style were the main factors in learner characteristic perspective. With these learner characteristic impact factors, the instructional factors appeared in remedial English e-learning course. Future studies are needed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ministry of Education (2006), After School Alternative Program (October 2, 2009), http://163.19.64.10/handweb/data/files/200801110545520.doc
Ministry of Education (2007), Promote Educational Priority Areas Program (October 2, 2009), http://163.25.130.2/advedu/download/96eduplan.doc
No Child Left Behind Act of 2001 (2002), Public Law No. 107-110
Smith, P.L., Ragan, T.J.: Instructional design. Macmillan, New York (1993)
Michael, T., Marlon, M., Roberto, J.: The third dimension of ADDIE: A cultural embrace. TechTrends 46(12), 40–45 (2002)
Keller, J.M.: Motivation and Instructional Design. A Theoretical perspective. J. Instructional Development, 26–34 (1979)
Keller, J.M.: Motivational design of instruction. In: Reigeluth, C.M. (ed.) Instructional Design Theories and Models: An Overview of Their Current Status. Erlbaum, Hillsdale (1983)
Visser, J., Keller, J.M.: The Clinical Use of Motivational Messages: an Inquiry into the Validity of the ARCS Model of Motivational Design. J. Instructional Science 19, 450–467 (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hsu, Cl. (2011). The Impact Factors in Remedial English E-Learning Instruction. In: Onada, T., Bekki, D., McCready, E. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2010. Lecture Notes in Computer Science(), vol 6797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25655-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-25655-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25654-7
Online ISBN: 978-3-642-25655-4
eBook Packages: Computer ScienceComputer Science (R0)