JDAIP  Vol.1 No.3 , August 2013
Analyzing Students’ Cognitive Load to Prioritize English Public Speaking Training
Author(s) Yow-Jyy Joyce Lee*
ABSTRACT

This paper applies the Hierarchy Grey Relational Analysis (HGRA) for data analysis obtained from the EFL students’ cognitive load in English public speaking. Thirty-one EFL students in a class of English Presentation Training participated in the experiment and the teacher familiarized them with nine criteria of abilities in public speaking training. The participants were then asked to reflect on their own confidences in the same criteria. A framework employing HGRA was developed to analyze the data. The results show that from the easiest to the most difficult, the cognitive confidence in sequence of the participants is S(21)→S(27)→S(25)→S(16)→S(12),…,→S(2), and in sequenc eof criteria is C(1) Posture→C(5) Preparing effective visual aids→C(2) Eye contact→C(3) Gestures→C(6) Explaining visual aids→C(4) Voice variation→C(9) Closing the speech→C(7) Opening the speech→C(8) Organizing & outlining the speech body. Based on the findings, in order to tailor to students’ cognitive load for best training results, the teacher should start from easier, more concrete techniques such as motor skills and preparing effective visual aids, and finally proceed to the abstract, logical organization of the main points. Additionally, the teacher can even offer differentiated practices to those whose cognitive load level in speech skills are different.


Cite this paper
Y. Lee, "Analyzing Students’ Cognitive Load to Prioritize English Public Speaking Training," Journal of Data Analysis and Information Processing, Vol. 1 No. 3, 2013, pp. 35-45. doi: 10.4236/jdaip.2013.13006.
References
[1]   Y. Zheng, “Anxiety and Second/Foreign Language Learning Revisited,” Canadian Journal for New Scholars in Education, Vol. 1, No. 1, 2008, pp. 1-12.

[2]   P. D. MacIntyre, “Language Anxiety: A Review of the Research for Language Teachers,” In” D. J. Young, Ed., Affect in Foreign Language and Second Language Learning: A Practical Guide to Creating a Low-Anxiety Classroom Atmosphere, McGraw-Hill, Boston, 1999, pp. 24- 45.

[3]   D. Larsen-Freeman and M. Anderson, “Techniques and Principles in Language Teaching,” Oxford University Press, Oxford, 2011.

[4]   J. Sweller, “Cognitive Load Theory, Learning Difficulty, and Instructional Design,” Learning and Instruction, Vol. 4, No. 4, 1997, pp. 295-312. doi:10.1016/0959-4752(94)90003-5

[5]   C. C. Yang and B. S. Chen, “Supplier Selection Using Combined Analytical Hierarchy Process and Grey Relational Analysis,” Journal of Manufacturing Technology Management, Vol. 17, No. 7, 2006, pp. 926-941. doi:10.1108/17410380610688241

[6]   G. Zeng, R. Jiang, G. Huang, M. Xu and J. Li, “Optimization of Wastewater Treatment Alternative Selection by Hierarchy Grey Relational Analysis,” Journal of Environmental Management, Vol. 82, No. 2, 2007, pp. 250-259. doi:10.1016/j.jenvman.2005.12.024

[7]   A. Sarucan, M. E. Baysal, C. Kahraman and E. Orhan, “A Hierarchy Grey Relational Analysis for Selecting the Renewable Electricity Generation Technologies,” Proceedings of the World Congress on Engineering (WCE) 2011, Vol. 2, London, 6-8 July 2011.

[8]   T. L. Saaty, “Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World,” RWS Publications, Pittsburgh, 2008.

[9]   T. L. Saaty, “Relative Measurement and Its Generalization in Decision Making: Why pairwise comparisons Are Central in Mathematics for the Measurement of Intangible Factors: The Analytic Hierarchy/Network Process,” Review of the Royal Spanish Academy of Sciences, Series A, Mathematics, Vol. 102, No. 2, 2008, pp. 251-318. doi:10.1007/BF03191825

[10]   T. L. Saaty and K. Peniwati, “Group Decision Making: Drawing out and Reconciling Differences,” RWS Publications, Pittsburgh, 2008.

[11]   E. H. Forman and S. I. Gass, “The Analytical Hierarchy Process: An Exposition,” Operations Research, Vol. 49, No. 4, 2001, pp. 469-487. doi:10.1287/opre.49.4.469.11231

[12]   M. Bernasconi, C. Choirat and R. Seri, “The Analytic Hierarchy Process and the Theory of Measurement,” Management Science, Vol. 56, No. 4, 2010, pp. 699-711. doi:10.1287/mnsc.1090.1123

[13]   J. L. Deng, “Control Problems of Grey Systems,” Systems and Control Letters, Vol. 1, No. 6, 1982, pp. 288-294.

[14]   K. L. Wen, C. H. Chao, H. C. Chang, H. Y. Chen and H. C. Wen, “Grey System Theory and Applications,” Wunan Publisher, Taipei, 2009.

[15]   J. C. Liang, J. R. Wang and L. H. Wang, “Kansei Product Design Based on the Personal’s Hair Image,” Journal of Grey System, Vol. 14, No. 1, 2011, pp. 29-40.

[16]   J. C. Liang, Y. L. Lee and S. F. Liu, “Strategic Kansei Design for a Nice Doorplate Based on GRA,” Journal of Grey System, Vol. 12, No. 4, 2009, pp. 177-184.

[17]   Y. L. Lee, J. S. Chen, J. C. Liang, C. K. Wu and P. H. Kao, “Purchasing Decision and Design Strategy of High Heels in Female Consumer Market,” International Journal of Kansei Information, Vol. 1, No. 1, 2010, pp. 1-8.

[18]   I. M. Ar, C. Hamzacebi and B. Baki, “Business School Ranking with Grey Relational Analysis: The Case of Turkey,” Grey Systems: Theory and Application, Vol. 3, No. 1, 2013, pp. 76-94.

[19]   S. Pramanik and D. Mukhopadhyaya, “Grey Relational Analysis Based Intuitionistic Fuzzy Multi-Criteria Group Decision-Making Approach for Teacher Selection in Higher Education,” International Journal of Computer Applications, Vol. 34, No. 1, 2011, pp. 21-29.

[20]   Y. L. Lee, J. C. Liang, J. S. Chen and C. K. Wu, “The Best Materials Selection among Prototype Model Making Technique Based on QFD and GRA,” IASTED Advances in Computer Science and Engineering 2010, Sharm El Sheikh, 15-17 March 2010, pp. 689-092.

[21]   S. J. Huang, N. H. Chiu, and L. W. Chen, “Integration of the Grey Relational Analysis with Genetic Algorithm for Software Effort Estimation,” European Journal of Operational Research, Vol. 188, No. 3, 2007, pp. 898-909. doi:10.1016/j.ejor.2007.07.002

[22]   J. Sweller, “Cognitive Load during Problem Solving: Effects on Learning,” Cognitive Science, Vol. 12, No. 2, 1988, pp. 257-285. doi:10.1207/s15516709cog1202_4

[23]   F. G. W. C. Paas and J. J. G. Van Merrienboer, “Variability of Worked Examples and Transfer of Geometrical Problem-Solving: A Cognitive-Load Approach,” Journal of Educational Psychology, Vol. 86, No. 1, 1994, pp. 122- 133. doi:10.1037/0022-0663.86.1.122

[24]   J. Sweller, “Cognitive Technology: Some Procedures for Facilitating Learning and Problem Solving in Mathematics and Science,” Journal of Educational Psychology, Vol. 81, No. 4, 1989, pp. 457-466. doi:10.1037/0022-0663.81.4.457

[25]   J. Sweller, J. J. G. Van Merrienboer and F. G. W. C. Paas, “Cognitive Architecture and Instructional Design,” Educational Psychology Review, Vol. 10, No. 3, 1998, pp. 251- 296. doi:10.1023/A:1022193728205

[26]   D. Harrington and C. LeBeau, “Speaking of Speech: Basic Presentation Skills for Beginners (New ed.),” Mac- millan Language House Inc., Tokyo, 2009.

[27]   K. L. Wen, “Grey Systems: Modeling and Prediction,” Yang’s Scientific Research Institute, Tucson, 2004.

[28]   J. Piaget, “The Language and Thought of the Child,” Meridian, New York, 1955.

[29]   J. Piaget, “The Principles of Genetic Epistemology,” Basics Books, New York, 1972.

[30]   J. Piaget and B. Inhelder, “The Psychology of the Child,” Basics Books, New York, 1969.

[31]   D. J. Young, “Affect in Foreign Language and Second Language Learning: A Practical Guide to Creating a Low-Anxiety Classroom Atmosphere,” McGraw-Hills, Boston, 1999.

 
 
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