Journal

Article title

Authors

Content

Title variants

Languages of publication

Abstracts

Publisher

Journal

Year

Volume

Pages

65-76

Physical description

Contributors

author

author

author

author

author

author

References

- [1] Aflich Y. F., Sofie D., Mayasari, Astri Y. N., Mathematical Representation Ability of Senior High School Students: An Evaluation from Students’ Mathematical Disposition. Journal of Research and Advances in Mathematics Education, 3 (1) (2018), p. 46-56.
- [2] Ani M., Elvis N. & Rahmad H., Mathematical Understanding and Representation Ability of Public Junior High School In North Sumatra. Journal of Mathematics Education, 7 (1) (2016), p. 43-56.
- [3] Butsic V., Lewis D. J., Radeloff V. C., Baumann M. & Kuemmerle T., Quasi-Experimental Methods Enable Stronger Inferences from Observational Data in Ecology. Basic and Applied Ecology, 19 (2017), p. 1-10.
- [4] Colin R., Accelerated Learning for The 21st Century. Bandung: Nuansa (2012).
- [5] David E. M., The Relationship between Mathematics Preparation and Conceptual Learning Gains in Physics: A Possible ‘‘Hidden Variable’’ in Diagnostic Pretest Scores. Am. J. Phys, 70 (12) (2002), p.1259-1268.
- [6] David R. & Dellwo, Course Assessment Using Multi-Stage Pre/Post Testing and The Components of Normalized Change. Journal of the scholarship of teaching and learning, 10 (1) (2010), p. 55-67.
- [7] Dwi R., Purwanto, Subanji, Erry H., Rahmad B. A., Process of Mathematical Representation Translation from Verbal into Graphic. IEJME—Mathematics Education, 12 (4) (2017), p. 367-381
- [8] Eames M., Luttman S. & Parker S., Accelerated Vs. Traditional Accounting Education and CPA Exam Performance. Journal of Accounting Education, Available online 30 April 2018.
- [9] Edgar T. W. & Manz D. O., Quasi-Experimental Research. Research Methods for Cyber Security, (2017), p. 251–268.
- [10] Edith D., Visual Representations in Mathematics Teaching: An Experiment With Students. Acta Didactica Napocensia, 8(1) (2015), p. 21-26
- [11] Grady M., Students’ Conceptions of Mathematics as Sensible: Towards The SCOMAS Framework. The Journal of Mathematical Behavior, 50 (2018), p. 126-141.
- [12] Hafiziani E. P., The Influence of Concrete Pictorial Abstract (CPA) Approach to The Mathematical Representation Ability Achievement of The Preservice Teachers at Elementary School. International Journal of Education and Research, 3 (6) (2015), p.113-125.
- [13] Huang J., The Evolutionary Perspective of Knowledge Creation – A Mathematical Representation. Knowledge-Based Systems, 22 (6) (2009), p. 430-438.
- [14] Ilker e., Sulaiman A. M., Rukayya S. A., Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5 (1) (2016), p. 1-4.
- [15] Jhon S. & Gay S., Correcting the Normalized Gain for Guessing. The Physics Teacher, 48 (2010), p. 194-196.
- [16] Juariah, Enhancing Student's Ability and Student's Mathematical Communication Skills through Mathematical Process Skills. (Thesis). UPI Bandung Graduate School: Not published (2008).
- [17] Karman L. N., Yaya S. K., The Effectiveness Ofict-Assisted Project-Based Learning In Enhancing Students’ Statistical Communication Ability. International Journal of Education and Research, 3 (2) (2015), p. 187-196
- [18] Lei B., Theoretical Comparisons of Average Normalized Gain Calculations. Am. J. Phys. 74 (10) (2006).
- [19] Liu B., Xiao Y. & Hao Z., A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. Knowledge-Based Systems, 141 (2018), p. 178-187.
- [20] Mohamad N. & Widodo W., the Relationship between Student Perceptions towards Mathematics Teacher with Mathematics Academic Performance. Journal of Psychology, 15 (2) (2016), p. 139-146.
- [21] Muchamad S. N., Wahyu H., Mohammad D. S., Analysis of Students Mathematical Representation and Connection on Analytical Geometry Subject. Journal of Mathematics Education, 5 (2) (2016), p. 99-108
- [22] NCTM, Principles and standards for school mathematics. USA: NCTM (2000).
- [23] Sarah I., Improved Problem Solving Ability and Multiple Mathematical Representation And Self-Esteem of Junior High School Students Using Quantum Learning Models. (Thesis). UPI Bandung Graduate School: Unpublished (2013).
- [24] Suprapto, Co-operative Learning Think Pair Square to Improve Student Motivation and Learning Outcomes of Mathematics Grade VI-1 SMP Negeri 5 Penajam. Postgraduate of State University of Malang: Unpublished (2013). [November 15, 2015]
- [25] Syarifah F., Increasing the Ability of Mathematical Representation, Mathematical Problem Solving, and Self Esteem of Junior High School Students through Learning with Open Ended Approach. (Dissertation). UPI Bandung Graduate School: Unpublished (2010).
- [26] Vincent P. C., Jeffrey A. P. & Jeffrey J. S., Interpreting FCI scores: normalized gain, pre instruction scores, and scientific reasoning ability. Am. J. Phys., 73 (12) (2005).
- [27] William E. A. & Melissa Y. H., The objective minimization function for the mathematical representation of solubility data for solutes dissolved in binary solvent mixtures. The Journal of Chemical Thermodynamics, 104 (2017), p. 61-66.
- [28] Yennello S.J., Accelerated Learning: Undergraduate Research Experiences at the Texas A&M Cyclotron Institute. Physics Procedia, 90 (2017), p. 354-363.
- [29] Yumiati, Mery N., Analysis of Mathematic Representation Ability of Junior High School Students in The Implementation of Guided Inquiry Learning. Journal of Mathematics Education, 6 (2) (2017), p. 137-148.
- [30] Tomas U., Ganiron J., Application of Accelerated Learning in Teaching Environmental Control System in Qassim University. International Journal of Education and Learning, 2 (2) (2013), p. 27-38.

Document Type

article

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.psjd-4dfd163f-90d9-4e10-afb0-5748e9410c5e