EFFECT OF THE USE OF COMPUTER-AIDED ASSESSMENT SYSTEM IN THE TEACHING OF MATHEMATICAL ANALYSIS WITH REGARD TO STUDENTS’ APPROACHES TO LEARNING

  • Andrea Jahodová Berková University of Pardubice, Studentska 95, Pardubice

Abstract

Computer-aided assessment systems are increasingly used in education for both formative and summative assessment. Example of such a system from the area of mathematics education is the platform Maple T. A. (Testing and Assessment), which was developed specially for assessment in mathematics. The paper is focused on the efficiency of the use of the Maple T. A. platform to students’ performance in classes of mathematical analysis (calculus). For this reason, the pedagogical experiment was conducted on the first and later second year undergraduate students of teaching mathematics taking into consideration their approaches to learning and studying. The research results include cluster analysis of students' approaches to learning and studying and analysis of students’ performance in their homework assignments and final tests.

References


  • Allain, R. and Williams, T. (2006) ‘The effectiveness of online homework in an introductory science class’, Journal of College Science Teaching, Vol. 35, No. 6, pp. 28-30.

  • Berkova, A. (2014) ‘Approaches to learning and studying in mathematical analysis classes’, INTED 2014 Proceedings (8th International Technology, Education and Development Conference), IATED, Valencia, pp. 2978-2982.

  • Berková, A. (2015) ‘Počítačové hodnocení matematických znalostí studentů ve výuce matematické analýzy’, Media4u magazine. Vol. 12, No. 4, pp. 48-54.

  • Berkova, A. (2016) ‘The efficiency of the use of computer-aided assessment system in mathematics’, Proceedings of the 13th International Conference on Efficiency and Responsibility in Education (ERIE 2016). Prague. pp. 43-49.

  • Berkova, A. and Kulicka, J. (2016) ‘Advantages and disadvantages of the involvement of computer-aided assessment system in mathematics’, EDULEARN 2016 Proceedings (8th International Conference on Education and New Learning Technologies), IATED, Barcelona, pp. 8493-8500. http://dx.doi.org/10.21125/edulearn.2016.0851

  • Biggs, J. B. (1999) Teaching for quality learning at university, Buckingham: Open University Press.

  • Burch, K. J. and Kuo, Y. (2010) ‘Traditional vs. online homework in college algebra’, Mathematics and Computer education, [Online], Available: http://media.web.britannica.com/ebsco/pdf/058/48082058.pdf [20 Feb 2017].

  • Demirci, N. (2006) ‘Developing web-oriented homework system to assess students’ introductory physics course performance and compare to paper-based peer homework’, [Online], Available: http://www.eric.ed.gov:80/PDFS/ED494339.pdf [20 Feb 2017].

  • Entwistle, N. J. (1988) Styles of Learning and Teaching, David Fulton.

  • Entwistle, N. J. (2005) ‘Enhancing teaching-learning environments in undergraduate courses in electronic engineering: an introduction to the ETL project’, International Journal of Electrical Engineering Education. Vol. 42, No. 1, pp. 1-7. http://dx.doi.org/10.7227/IJEEE.42.1.2  

  • Hauk, S., Powers, R. A. and Segalla, A. (2015) ‘A comparison of web-based and paper-and-pencil homework on student performance in college algebra’, PRIMUS, Vol. 25, No. 1, pp. 61-79. http://dx.doi.org/10.1080/10511970.2014.906006

  • Hendl, J. (2009) Přehled statistických metod, Praha: PORTAL.

  • Jones, I. S. (2008) ‘Computer-aided assessment questions in engineering mathematics using MapleTA’, International Journal of Mathematical Education in Science and Technology, Vol. 39, No. 3, pp. 341–35. http://dx.doi.org/10.1080/00207390701734523

  • Keady, G., Fitz-Gerald, G., Gamble, G. and Sangwin, Ch. (2006) ‘Computer-aided assessment in mathematical sciences’, UniServe Science Assessment Symposium Proceedings, [Online], Available: http://science.uniserve.edu.au/pubs/procs/2006/keady.pdf [20 Feb 2017].

  • Kourilova, P. and Bebcakova, I. (2015) ‘What happened to the students of applied mathematics?’, Proceedings of the 12th International Conference on Efficiency and Responsibility in Education (ERIE 2015), Prague, pp. 273-279.

  • Littell, R. C., Henry, P. R. and Ammerman, C. B. (1998) ‘Statistical analysis of repeated measures data using SAS procedures’. Journal of Animal Science, Vol. 76, No. 4, pp. 1216-31. http://dx.doi.org/10.2527/1998.7641216x

  • Love, T. Keinert, F. and Shelley, M. (2006) ‘Web-based implementation of discrete mathematics’, Journal of STEM Education, Vol. 7, No.3/4, pp. 25-35.

  • Montgomery, D., C. (2001) Design and Analysis of Experiments, 5th ed., New York: Wiley.

  • Nemec, R. Berkova, A. and Sramek, F. (2016a) ‘The Use of Multi-instrumental Approach to Teaching Physics’, MATEC Web of Conferences, Vol. 76, Article No. 04028, 6 p. http://dx.doi.org/10.1051/matecconf/20167604028

  • Nemec, R. Berkova, A. and Sramek, F. (2016b) ‘Mapping the Multi-instrumental Approaches to Teaching at Primary (Lower Secondary) Schools’, MATEC Web of Conferences, Vol. 76, Article No. 04046, 5 p. https://doi.org/10.1051/matecconf/20167604046  

  • Ramsden, P. (1992) Learning to teach in higher education. New York: Routledge. http://dx.doi.org/10.4324/9780203413937

  • Sangwin, Ch. (2013) Computer Aided Assessment of Mathematics. Oxford: Oxford University Press. http://dx.doi.org/10.1093/acprof:oso/9780199660353.001.0001

  • Technical Whitepaper. (2015) ‘Challenges and solutions in automated STEM assessment’, [Online], Maplesoft, a division of Waterloo Maple Inc. 2015, Available: http://www.maplesoft.com/contact/webforms/Whitepapers/STEMAssessment.aspx [15 Feb 2016].

Published
2017-10-20
How to Cite
Jahodová Berková, A. (2017) 'EFFECT OF THE USE OF COMPUTER-AIDED ASSESSMENT SYSTEM IN THE TEACHING OF MATHEMATICAL ANALYSIS WITH REGARD TO STUDENTS’ APPROACHES TO LEARNING', Journal on Efficiency and Responsibility in Education and Science, vol. 10, no. 3, pp. 71-75. https://doi.org/10.7160/eriesj.2017.100302.
Section
Research Paper