Decision Analysis Approach Model to Maximize
Students Cognitive of Environmental Problems

Hendra Cipta; Hermida Yani Surbakti; Ali Dasko

doi:https://doi.org/10.14445/22315373/IJMTT-V15P504

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 15 | Number 1 | Year 2014 | Article Id. IJMTT-V15P504 | DOI : https://doi.org/10.14445/22315373/IJMTT-V15P504

Decision Analysis Approach Model to Maximize Students Cognitive of Environmental Problems

Hendra Cipta, Hermida Yani Surbakti, Ali Dasko

Abstract

A learner is a cognitive system that develops by students information and knowledge-processing activities. To maximize the learners cognitive development, knowledge-intensive environments are essential particularly for achieving environmental knowledge. This paper proposes a model based on decision analysis approach in such a way could evaluate students cognitive development toward environmental problem

Keywords

Decision analysis, education, cognitive, environmental knowledge

References

[1] A. Bergeron and G. Paquette, Discovery environments and intelligent learning tools, in C. Frasson and G. Gauthier (eds), “Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education”, Ablex Publishing Corporation, Norwood, NJ. 1990.
[2] R. A. Howard, “Decision analysis: practice and promise”, Management Science, 34, pp. 679 - 695. 1988.
[3] R. D. Shachter, “Evaluating Influence Diagrams”, Operations Research, 34(6). 1986.
[4] H. Raiffa, Decision Analysis, Addison-Wesley. 1968.
[5] C. A. Holloway, Decision Making under Uncertainty: Models and Choices, Prentice-Hall Englewood Cliffs, NJ. 1979.
[6] ADA (Applied Decision Analysis), DPL 4.0: Professional Decision Analysis Software, Duxbury/ Thomson Learning. 1998.
[7] D. Samson, Managerial Decision Analysis, Irwin, Homewood, IL. 1988.
[8] L. D. Phillips, “A theory of requisite decision models”, Acta Psychologica, 56, pp. 29 - 48. 1984.
[9] R. L. Keeney, Value-Focused Thinking, Harvard University Press, Cambridge, MA. 1992.
[10] S. Ross, A First Course in Probability, 5th edition, Prentice-Hall. 1998.
[11] C. S. Spetzler and C. A. StaeÈl Jon Holstein, “Probability Encoding in Decision Analysis”, Management Science, 22, pp. 340 ± 352. 1975
[12] R. T. Clemen, Making Hard Decisions: An Introduction to Decision Analysis, 2nd edition, Duxbury Press. 1996.
[13] W. Feller, An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd edition, Wiley, New York. 1968.
[14] R. Peck, Introduction to Statistics and Data Analysis, Duxbury/Thomson Learning. 2001.
[15] D. L. Keefer and S. E. Bodily, “Three-point approximations for continuous random variables”, Management Science 29, pp. 595 - 609. 1983.
[16] A. L. Golub, Decision Analysis: An Integrated Approach, John Wiley & Sons. 1997.
[17] J. Pratt, “Risk aversion in the small and in the large”, Econometrics, 32, pp. 122 - 136. 1964.
[18] P. McNamee and J. Celona, Decision Analysis
For The Professional With Super Tree, Scientific Press, Redwood City, CA. 1987. [19] F. P. Ramsey, Truth and probability, in R. B. Braithwaite, (ed.), The Foundations of Mathematics and Other Logical Essays, Harcourt, Brace, New York. 1931.
[20] D. Bunn, Applied Decision Analysis, McGraw-Hill, New York. 1984.
[21] T. Parry, and G. Gregory, Designing Brain Compatible Learning, Skylight Training and Publishing Inc .1998.
[22] T. L. Saaty, The Analytic Hierarchy Process, 2nd edition, RWS Publication. 1990.
[23] R. L. Keeney, and H. Raiffa, Decisions with Multiple Objectives: Preferences and Value Tradeoffs, John Wiley. 1976.
[24] C. B. McCormick, and M. Pressley, Educational Psychology: Learning, Instruction, Assessment, Longman. 1997.
[25] B. R. Hergenhahn, and M. H. Olson, An Introduction to Theories of Learning, 5th edition, Prentice-Hall. 1997.
[26] R. K. Hambleton, H. Swaminathan and H. J. Rogers, Fundamentals of Item Response Theory, SAGE Publications. 1991.
[27] R. A. Howard, and J. E. Matheson, Readings on the Principles and Applications of Decision Analysis, Strategic Decisions Group, Menlo Park, California. 1983.
[28] F. M. Lord and M. R. Novick, Statistical Theories of Mental Test Scores, Reading: Addison-Wesley 1968.
[29] B. D. Wright, “Solving Measurement Problems with the Rasch Model”, Educational Measurement. 14, pp. 97 - 116. 1977.

Citation :

Hendra Cipta, Hermida Yani Surbakti, Ali Dasko, "Decision Analysis Approach Model to Maximize Students Cognitive of Environmental Problems," International Journal of Mathematics Trends and Technology (IJMTT), vol. 15, no. 1, pp. 25-30, 2014. Crossref, https://doi.org/10.14445/22315373/IJMTT-V15P504