RESEARCH PAPER
An analysis of errors for pre-service teachers in first order ordinary differential equations
 
More details
Hide details
1
University of South Africa, Pretoria, SOUTH AFRICA
 
 
Publication date: 2022-05-08
 
 
EURASIA J. Math., Sci Tech. Ed 2022;18(6):em2117
 
KEYWORDS
ABSTRACT
Literature has established that some learners encountered difficulties solving first order ordinary differential equations (ODEs). The use of error analysis in teaching ODEs is believed to make essential contribution towards calculus knowledge development. This paper therefore focuses on analyzing pre-service teachers’ (PSTs) errors and misconceptions apropos of first order ODEs. The paper analyzed the nature of errors made in a test which was written by PSTs on the above topic. The test comprised various types of first order differential equations such as ODEs with separable variables, exact ODEs, ODEs that needed integrating factors, linear ODEs, and homogeneous ODEs. The purpose was to investigate the challenges faced by PSTs in various types of ODEs and the nature of misconceptions that they had in each particular type. This is a qualitative study that involved 63 PSTs who wrote a test on ODEs after being taught the topic for two weeks. The authors marked the work in order to ascertain the misconceptions and errors exhibited by the participants in the test. The PSTs’ performance in the test was analyzed using the SOLO taxonomy and the Newman’s theory mistake analysis. The study established that the topic was rather difficult for PSTs due to various reasons that included, among others, knowledge gaps in integration rules, algebraic computations and, in rare cases, differentiation, as well as misapplication of the rules of natural logarithms. This research therefore recommends that mathematics teacher educators ought to rather focus on the concept of integration and basic algebra before introducing the topic on ODEs to teachers on training.
 
REFERENCES (29)
1.
Abdullah, A. H., Abidin, N. L. Z., & Ali, M. (2015). Analysis of students’ errors in solving higher order thinking skills (HOTS): Problems for the topic of fraction. Asian Social Science, 11(21), 133-142. https://doi.org/10.5539/ass.v1....
 
2.
Adu-Gyamfi, K., & Bossé, M. J. (2014). Processes and reasoning in representations of linear functions, International Journal of Science and Mathematics Education, 12(1), 167-192. https://doi.org/10.1007/s10763....
 
3.
Adu-Gyamfi, K., Bossé, M. J., & Chandler, K. (2015). Situating student errors: Linguistic-to-algebra translation errors. International Journal for Mathematics Teaching and Learning, 1-29.
 
4.
Alhassora, N. S. A., Abu, M. S., & Abdullah, A. H. (2017). Newman error analysis on evaluating and creating thinking skills. Man in India, 97(19), 413-427.
 
5.
Blatter, C. (2011). Purpose of adding a constant after integrating a function. Stack Exchange. https://math.stackexchange.com....
 
6.
Brown, M., Bossé, M. J., & Chandler, K. (2016). Student errors in dynamic mathematical environments. International Journal for Mathematics Teaching and Learning, 17(1), 1-27.
 
7.
Caniglia, J. C., & Meadows, M. (2018). An application of the SOLO taxonomy to classify strategies used by pre-service teachers to solve “one question problems”. Australian Journal of Teacher Education, 43(9), 75-89. https://doi.org/10.14221/ajte.....
 
8.
Farlina, E., Rachmawati, T. K., Ariany, R. L., Widiastuti, T. T. A., & Sobarningsih, N. (2018). Ordinary differential equations: Students’ difficulty in solve the algorithm of the initial value problem with the integrating factor method. IOP Conference Series: Materials Science and Engineering, 434, 012010.
 
9.
Herholdt, R., & Sapire, I. (2014). An error analysis in the early grades mathematics: A learning opportunity? South African Journal of Childhood Education, 4(1), 42-60. https://doi.org/10.4102/sajce.....
 
10.
Hudson, P., & Miller, S. (2006). Designing and implementing mathematics instruction for students with diverse learning need. Allyn & Bacon.
 
11.
Kusmin, M. (2019). Co-designing the kits of IoT devices for inquiry-based learning in STEM. Technologies, 7(16), 1-10. https://doi.org/10.3390/techno....
 
12.
Lai, C.-F. (2012). Error analysis in mathematics. Behavioral Research & Teaching, University of Oregon, USA. https://files.eric.ed.gov/full....
 
13.
Larbi, E., & Okyere, M. (2016). The use of manipulatives in mathematics education. Journal of Education and Practice, 7(36), 53-61.
 
14.
Legutko, M. (2008). An analysis of students’ mathematical errors in the teaching-research process. In B. Czarnocha (Ed.), Handbook for mathematics teaching: Teacher experiment, A tool for research (pp. 141-152). University of Rzeszόw, Poland.
 
15.
Luneta, K., & Makonye, P. J. (2010). Learner errors and misconceptions in elementary analysis: A case study of a grade 12 class in South Africa. Acta Didactica Napocensia, 3(3), 35-46.
 
16.
Maat, S. M., & Zakaria, E. (2011). Exploring students’ understanding of ordinary differential equations using computer algebraic system (CAS). The Turkish Online Journal of Educational Technology, 10(3), 123-128.
 
17.
Makonye, P. J. (2016). Mathematics learner error analysis protocol. In Proceedings of the Association for Mathematics Education of South Africa (pp. 314-323).
 
18.
McGuire, P. (2013). Using online error analysis items to support preservice teachers’ pedagogical content knowledge in mathematics. Contemporary Issues in Technology and Teacher Education, 13(3), 207-218.
 
19.
Nykamp, D. Q, (2015). An introduction to ordinary differential equations. Math Insight. http://mathinsight.org/ordinar....
 
20.
Peng, A., & Luo, Z. (2009). A framework for examining mathematics teacher knowledge as used in error analysis. For the Learning of Mathematics, 29(3), 22-25.
 
21.
Pomalato, S. W. D., Ili, L., Ningsi, B. A., Fadhilaturrahmi, Hasibuan, A. T., & Primayan, K. H. (2020). Student error analysis in solving mathematical problems. Universal Journal of Educational Research, 8(11), 5183-5187. https://doi.org/10.13189/ujer.....
 
22.
Putri, U. H., Mardiyana, M., & Saputro, D. R. S. (2017). How to analyze the students’ thinking levels based on SOLO taxonomy? Journal of Physics: Conference Series, 895(1), 012031. https://doi.org/10.1088/1742-6....
 
23.
Riccomini, P. J. (2005). Identification and remediation of systematic error patterns in subtraction. Learning Disability Quarterly, 28(3), 233-242. https://doi.org/10.2307/159366....
 
24.
Rohmah, M., & Sutiarso, S. (2018). Analysis problem solving in mathematical using theory Newman. EURASIA Journal of Mathematics, Science and Technology Education, 14(2), 671-681. https://doi.org/10.12973/ejmst....
 
25.
Rushton, S. J. (2018). Teaching and learning mathematics through error analysis. Fields Mathematics Education Journal, 3(4), 1-12. https://doi.org/10.1186/s40928....
 
26.
Russell, M., & Masters, J. (2009). Formative diagnostic assessment in algebra and geometry [Paper presentation]. The Annual Meeting of the American Education Research Association, San Diego, CA, USA.
 
27.
Tarigan, F. A. P., Surya, E., & Syahputra, E. (2019). The strategy in developing international baccalaureate (IB) high level thinking abilities in primary school mathematics learning (PYP). Journal of Education and Practice, 10(33), 37-42. https://doi.org/10.7176/JEP/10....
 
28.
White, D. W. (2014). What is STEM education and why is it important? Florida Association of Teacher Educators Journal, 1(14), 1-9.
 
29.
Yarman, Y., Fauzan, A., Armiati, A., & Lufri, L. (2020). Analysis of student errors in solving ordinary differential equations based on SOLO taxonomy. Journal of Physics: Conference Series, 1554(1), 012065. https://doi.org/10.1088/1742-6....
 
eISSN:1305-8223
ISSN:1305-8215
Journals System - logo
Scroll to top