International Electronic Journal of Mathematics Education

The Use of Mathcad in the Achievement of Education Students in Teaching College Algebra in a University
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Etcuban JO, Campanilla BS, Horteza AD. The Use of Mathcad in the Achievement of Education Students in Teaching College Algebra in a University. Int Elect J Math Ed. 2019;14(2), 341-351. https://doi.org/10.29333/iejme/5718
APA 6th edition
In-text citation: (Etcuban et al., 2019)
Reference: Etcuban, J. O., Campanilla, B. S., & Horteza, A. D. (2019). The Use of Mathcad in the Achievement of Education Students in Teaching College Algebra in a University. International Electronic Journal of Mathematics Education, 14(2), 341-351. https://doi.org/10.29333/iejme/5718
Chicago
In-text citation: (Etcuban et al., 2019)
Reference: Etcuban, Jonathan O., Bell S. Campanilla, and Al D. Horteza. "The Use of Mathcad in the Achievement of Education Students in Teaching College Algebra in a University". International Electronic Journal of Mathematics Education 2019 14 no. 2 (2019): 341-351. https://doi.org/10.29333/iejme/5718
Harvard
In-text citation: (Etcuban et al., 2019)
Reference: Etcuban, J. O., Campanilla, B. S., and Horteza, A. D. (2019). The Use of Mathcad in the Achievement of Education Students in Teaching College Algebra in a University. International Electronic Journal of Mathematics Education, 14(2), pp. 341-351. https://doi.org/10.29333/iejme/5718
MLA
In-text citation: (Etcuban et al., 2019)
Reference: Etcuban, Jonathan O. et al. "The Use of Mathcad in the Achievement of Education Students in Teaching College Algebra in a University". International Electronic Journal of Mathematics Education, vol. 14, no. 2, 2019, pp. 341-351. https://doi.org/10.29333/iejme/5718
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Etcuban JO, Campanilla BS, Horteza AD. The Use of Mathcad in the Achievement of Education Students in Teaching College Algebra in a University. Int Elect J Math Ed. 2019;14(2):341-51. https://doi.org/10.29333/iejme/5718

Abstract

The utilization of mathematical software offers numerous points of interest to students, which are fundamentals in the teaching-learning process in the four corners of the classroom. The study determined the effects of Mathcad as an instructional and a computational tool in teaching College Algebra to the Education students in the University of Cebu, Philippines. The study utilized a quasi-experimental using a pretest and posttest design method to 58 Education students. They are grouped by means of their final grades in high school mathematics. The study used standardized instruments such as Aiken and Dreger Revised College Algebra Attitude Scale, and Test in College Algebra by John Tobey and Jeffrey Slater. The gathered data were statistically treated using frequency, simple percentage, weighted mean, and z-test. The study revealed that the attitude towards College Algebra does not significantly affect the post-test scores of understudies in the control and test gatherings. It is inferred that instructing with the guide of media innovation isn’t constantly feasible in upgrading understudies’ learning in Mathematics. The researchers recommend that faculty handling mathematics should incorporate the use of mathematical software such as Mathcad in their course syllabi and the actual teaching practice.

References

  • Bandura, A. (2014). Social cognitive theory of moral thought and action. In Handbook of moral behavior and development (pp. 69-128). Psychology Press. Retrieved from https://goo.gl/j2EWA7
  • Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational psychologist, 28(2), 117-148. https://doi.org/10.1207/s15326985ep2802_3
  • Benker, H. (2012). Practical use of Mathcad®: Solving mathematical problems with a computer Algebra system. Springer Science & Business Media. Retrieved from https://goo.gl/P57iwu
  • Boekaerts, M., & Corno, L. (2005). Self‐regulation in the classroom: A perspective on assessment and intervention. Applied Psychology, 54(2), 199-231. https://doi.org/10.1111/j.1464-0597.2005.00205.x
  • Darling-Hammond, L. (2008). Teacher learning that supports student learning. Teaching for intelligence, 2(1), 91-100. Retrieved from https://goo.gl/XQpCiZ
  • Domino, J. (2009). Teachers’ influences on students’ attitudes toward mathematics. Research and Teaching in Developmental Education, 32-54. Retrieved from https://goo.gl/6MErKz
  • Etcuban, J. O. (2013). Professional and ICT efficacy plan of instructors based on their training needs at the University of Cebu Campuses, Philippines. IAMURE International Journal of Multidisciplinary Research, 5(1), 1-1. https://doi.org/10.7718/iamure.v5i1.617
  • Etcuban, J. O., & Pantinople, L. D. (2018). The effects of mobile application in teaching high school mathematics. International Electronic Journal of Mathematics Education, 13(3), 249-259. https://doi.org/10.12973/iejme/3906
  • Fitch, J. (1993). Mathematics goes automatic. Physics world, 6(6), 48. https://doi.org/10.1088/2058-7058/6/6/23
  • Gallo, M. A., & Odu, M. (2009). Examining the relationship between class scheduling and student achievement in College Algebra. Community College Review, 36(4), 299-325. https://doi.org/10.1177/0091552108330902
  • Guiñón, J. L., Ortega, E., García-Antón, J., & Pérez-Herranz, V. (2007). Moving average and Savitzki-Golay smoothing filters using Mathcad. Papers ICEE, 2007. Retrieved from https://goo.gl/Djq11n
  • Hauk, S., Powers, R. A., & Segalla, A. (2015). A comparison of web-based and paper-and-pencil homework on student performance in College Algebra. Primus, 25(1), 61-79. https://doi.org/10.1080/10511970.2014.906006
  • Hodges, C. B., & Kim, C. (2013). Improving college students’ attitudes toward mathematics. TechTrends, 57(4), 59-66. https://doi.org/10.1007/s11528-013-0679-4
  • Isiksal, M., & Askar, P. (2005). The effect of spreadsheet and dynamic geometry software on the achievement and self-efficacy of 7th-grade students. Educational Research, 47(3), 333-350. https://doi.org/10.1080/00131880500287815
  • Jones, B. D., Baumgartner, F. R., Breunig, C., Wlezien, C., Soroka, S., Foucault, M., ... & Mortensen, P. B. (2009). A general empirical law of public budgets: A comparative analysis. American Journal of Political Science, 53(4), 855-873. https://doi.org/10.1111/j.1540-5907.2009.00405.x
  • Kelder, S. H., Hoelscher, D., & Perry, C. L. (2015). How individuals, environments, and health behaviors interact. Health behavior: Theory, research, and practice, 159. Retrieved from https://goo.gl/ypXGM5
  • Kirschner, P. A. (2002). Cognitive load theory: Implications of cognitive load theory on the design of learning. https://doi.org/10.1016/S0959-4752(01)00014-7
  • Kumaravadivelu, B. (2001). Toward a postmethod pedagogy. TESOL quarterly, 35(4), 537-560. https://doi.org/10.2307/3588427
  • Liengme, B. V. (2015). An overview of SMath Suite. In SMath for Physics. Morgan & Claypool Publishers. Retrieved from https://goo.gl/278ets
  • Llinares, S., & Krainer, K. (2006). Mathematics (student) teachers and teacher educators as learners. Handbook of research on the psychology of mathematics education: Past, present and future, 429-459. Retrieved from https://goo.gl/nmR216
  • Margueron, X., Besri, A., Jeannin, P. O., Keradec, J. P., & Parent, G. (2010). Complete analytical calculation of static leakage parameters: A step toward HF transformer optimization. IEEE Transactions on Industry Applications, 46(3), 1055-1063. https://doi.org/10.1109/TIA.2010.2045327
  • Maxfield, B. (2013). Essential PTC® Mathcad Prime® 3.0: A guide for new and current users. Academic Press. Retrieved from https://goo.gl/LEnYJw
  • Multon, K. D., Brown, S. D., & Lent, R. W. (1991). Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of counseling psychology, 38(1), 30. https://doi.org/10.1037/0022-0167.38.1.30
  • O’Fallon, M. J., & Butterfield, K. D. (2012). The influence of unethical peer behavior on observers’ unethical behavior: A social cognitive perspective. Journal of Business Ethics, 109(2), 117-131. https://doi.org/10.1007/s10551-011-1111-7
  • Paas, F., Renkl, A., & Sweller, J. (2004). Cognitive load theory: Instructional implications of the interaction between information structures and cognitive architecture. Instructional science, 32(1-2), 1-8. https://doi.org/10.1023/B:TRUC.0000021806.17516.d0
  • Pajares, F., & Schunk, D. H. (2001). Self-beliefs and school success: Self-efficacy, self-concept, and school achievement. Perception, 11, 239-266. Retrieved from https://goo.gl/CV1ctm
  • Porter, L. W., Bigley, G. A., & Steers, R. M. (2003). Motivation and work behavior. Retrieved from https://goo.gl/uFpvFY
  • Porter, G. J., & Hill, D. R. (1996). Interactive Linear Algebra: A laboratory course using Mathcad (TM). Springer Science & Business Media. Retrieved from https://goo.gl/41Pxiz
  • Ramsden, P. (2003). Learning to teach in higher education. Routledge. https://doi.org/10.4324/9780203507711
  • Schunk, D. H. (1995). Self-efficacy and education and instruction. In Self-efficacy, adaptation, and adjustment (pp. 281-303). Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6868-5_10
  • Small, D. (2002). An urgent call to improve traditional college algebra programs. Focus: The newsletter of the Mathematical Association of America, May-June, 12-13. Retrieved from https://goo.gl/8QB1pb
  • Stahl, G., Koschmann, T. D., & Suthers, D. D. (2006). Computer-supported collaborative learning. na. Retrieved from http://gerrystahl.net/hci/chls.pdf
  • Strauss, A. L. (2017). Psychological modeling: Conflicting theories. Routledge. https://doi.org/10.4324/9781315127644
  • Taylor, J. M. (2008). The effects of a computerized-algebra program on mathematics achievement of college and university freshmen enrolled in a developmental mathematics course. Journal of College Reading and Learning, 39(1), 35-53. https://doi.org/10.1080/10790195.2008.10850311
  • Valcke, M. (2002). Cognitive load: updating the theory?. Learning and Instruction, 12(1), 147-154. https://doi.org/10.1016/S0959-4752(01)00022-6
  • Van Gog, T., Ericsson, K. A., Rikers, R. M., & Paas, F. (2005). Instructional design for advanced learners: Establishing connections between the theoretical frameworks of cognitive load and deliberate practice. Educational Technology Research and Development, 53(3), 73-81. https://doi.org/10.1007/BF02504799
  • Wilson, B. G., & Myers, K. M. (2000). Situated cognition in theoretical and practical context. Theoretical foundations of learning environments, 57-88. Retrieved from https://goo.gl/Y182dt
  • Wynegar, R. G., & Fenster, M. J. (2009). Evaluation of alternative delivery systems on academic performance in College Algebra. College Student Journal, 43(1). Retrieved from https://goo.gl/2rNMx5
  • Zakaria, E., Chin, L. C., & Daud, M. Y. (2010). The effects of cooperative learning on students’ mathematics achievement and attitude towards mathematics. Journal of social sciences, 6(2), 272-275. https://doi.org/10.3844/jssp.2010.272.275

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