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Effects of MATLAB Supported Learning on Students’ Motivation on Learning Applied Mathematics: A Case of Mechanical Engineering Students, Wolkite University

Received: 29 December 2020     Accepted: 14 January 2021     Published: 28 January 2021
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Abstract

Mathematics is one of an important tool for engineering and technology students to solve day-to-day problems in life in general and problems posed to them in engineering and technology courses in particular. To help them capture mathematical concepts use of appropriate instructional approach is equally important factor. Instruction supported by technological software is reported to be useful in general terms, but the importance on motivation is debated. To this end, Quasi-experiment research was conducted in Wolkite University to investigate MATLAB Software supported learning and students' motivation in learning Applied Mathematics II. Different instructional approaches: MATLAB Software supported traditional lecture method and MATLAB supported collaborative method were established for this purpose. Two intact classes, Mechanical engineering groups 1 and 2, were selected using a simple random sampling technique, each of which took specific intervention. The numbers of the students involved were initially 30 and 29 respectively. Both pre and post motivation Likert Scale items were prepared and administered to the respondents before and after treatment respectively. The results of the study show that there is no significant mean difference in students' motivation for learning mathematics between the two groups. Besides, there is no significant mean difference between the components of motivation except for intrinsic and extrinsic motivation that seeks further scrutiny. Reasons for non-significant difference were highlighted some of which included a lack of experience, and a lack of motivation to learn mathematics itself. The ability to manipulate technological software and access could also be noted that lay context at the center.

Published in Education Journal (Volume 10, Issue 1)
DOI 10.11648/j.edu.20211001.11
Page(s) 1-7
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

MATLAB Supported Learning Method, Students Motivation, Applied Mathematics

References
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[2] María Blanca Ibáñez M. B., Portillo A. U., Cabada R. Z., & Barrón M. L. (2019). Impact of augmented reality technology on academic achievement and motivation of students from public and private Mexican schools. A case study in a middle-school geometry course. Computer & Education 145 (2020), https://doi.org/10.1016/j.compedu.2019.103734.
[3] Persico, D., & Pozzi, F. (2011). Task, Team and Time to structure online collaboration in learning environments. World Journal on Educational Technology, 3 (1), 1-15.
[4] Cheng L., Antonenko P. D., Ritzhaupt A. D., Dawson K., Miller D., MacFadden B. J., Grant C., Sheppard T. D., &Ziegler M. (2020). Exploring the influence of teachers’ beliefs and 3D printing integrated STEM instruction on students’ STEM motivation. Computer & Education 158 (2020) https://doi.org/10.1016/j.compedu.2020.103983.
[5] Sandybayev A. (2020). The Impact of E-Learning Technologies on Student’s Motivation: Student Centered Interaction in Business Education. International Journal of Research in Tourism and Hospitality (IJRTH), Vol 6, no. 1, pp. 16-24. doi: http://dx.doi.org/10.20431/2455-0043.0601002.
[6] Liu, E. Z & Lin, C. H. (2010). Survey Study of Mathematics Motivated Strategies for Learning Questionnaire (MMSLQ) for Grade 10–12 Taiwanese Students. The Turkish Online Journal of Educational Technology, 9 (2), 221–233.
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[8] Pintrich, P. R., & De Groot, E. V. (1990). Motivational and Self-Regulated Learning Components of Classroom Academic Performance. Journal of Educational Psychology, 82, 33-40.
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[12] Pintrich, P., Smith, D., Garcia, T. & McKeachie, W. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). National Center for Research to Improve Post-Secondary Teaching and Learning.
[13] Aurah, M. C. (2013). The Effects of Self-efficacy Beliefs and Metacognition on Academic Performance: A Mixed Method Study. American Journal of Educational Research, 1 (8), 334-343.
[14] Mulugeta Atnafu (2012). Motivation, Social Support, Alienation from the School and their Impact on Students’ Achievement in Mathematics: The Case of Tenth Grade Students. Ethiopian Journal of Education& Science. 8 (1), 53-74.
[15] Ryan, R. M. & Deci, E. L. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology 25, 54–67. doi: 10.1006/ceps.1999.1020, available online at http://www.idealibrary.comon.
[16] Taleba, Z., Ahmadib, A., & Musavi, M. (2015). The effect of m-learning on mathematics learning. Procedia Social and Behavioral Sciences 171, 8–89.
[17] Francis J. (2017). The Effects of Technology on Student Motivation and Engagement in Classroom-Based Learning. All Theses and Dissertations, 121. http://dune.une.edu/theses/121.
[18] Shin, Y. E. & Mills, D. (2007). Setting the New Standard with Mobile Computing in Online Learning. The International Review of Research in Open and Distance Learning, 8 (2).
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  • APA Style

    Eyasu Gemechu, Kassa Michael, Mulugeta Atinafu. (2021). Effects of MATLAB Supported Learning on Students’ Motivation on Learning Applied Mathematics: A Case of Mechanical Engineering Students, Wolkite University. Education Journal, 10(1), 1-7. https://doi.org/10.11648/j.edu.20211001.11

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    ACS Style

    Eyasu Gemechu; Kassa Michael; Mulugeta Atinafu. Effects of MATLAB Supported Learning on Students’ Motivation on Learning Applied Mathematics: A Case of Mechanical Engineering Students, Wolkite University. Educ. J. 2021, 10(1), 1-7. doi: 10.11648/j.edu.20211001.11

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    AMA Style

    Eyasu Gemechu, Kassa Michael, Mulugeta Atinafu. Effects of MATLAB Supported Learning on Students’ Motivation on Learning Applied Mathematics: A Case of Mechanical Engineering Students, Wolkite University. Educ J. 2021;10(1):1-7. doi: 10.11648/j.edu.20211001.11

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  • @article{10.11648/j.edu.20211001.11,
      author = {Eyasu Gemechu and Kassa Michael and Mulugeta Atinafu},
      title = {Effects of MATLAB Supported Learning on Students’ Motivation on Learning Applied Mathematics: A Case of Mechanical Engineering Students, Wolkite University},
      journal = {Education Journal},
      volume = {10},
      number = {1},
      pages = {1-7},
      doi = {10.11648/j.edu.20211001.11},
      url = {https://doi.org/10.11648/j.edu.20211001.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.edu.20211001.11},
      abstract = {Mathematics is one of an important tool for engineering and technology students to solve day-to-day problems in life in general and problems posed to them in engineering and technology courses in particular. To help them capture mathematical concepts use of appropriate instructional approach is equally important factor. Instruction supported by technological software is reported to be useful in general terms, but the importance on motivation is debated. To this end, Quasi-experiment research was conducted in Wolkite University to investigate MATLAB Software supported learning and students' motivation in learning Applied Mathematics II. Different instructional approaches: MATLAB Software supported traditional lecture method and MATLAB supported collaborative method were established for this purpose. Two intact classes, Mechanical engineering groups 1 and 2, were selected using a simple random sampling technique, each of which took specific intervention. The numbers of the students involved were initially 30 and 29 respectively. Both pre and post motivation Likert Scale items were prepared and administered to the respondents before and after treatment respectively. The results of the study show that there is no significant mean difference in students' motivation for learning mathematics between the two groups. Besides, there is no significant mean difference between the components of motivation except for intrinsic and extrinsic motivation that seeks further scrutiny. Reasons for non-significant difference were highlighted some of which included a lack of experience, and a lack of motivation to learn mathematics itself. The ability to manipulate technological software and access could also be noted that lay context at the center.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Effects of MATLAB Supported Learning on Students’ Motivation on Learning Applied Mathematics: A Case of Mechanical Engineering Students, Wolkite University
    AU  - Eyasu Gemechu
    AU  - Kassa Michael
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    Y1  - 2021/01/28
    PY  - 2021
    N1  - https://doi.org/10.11648/j.edu.20211001.11
    DO  - 10.11648/j.edu.20211001.11
    T2  - Education Journal
    JF  - Education Journal
    JO  - Education Journal
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    EP  - 7
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.edu.20211001.11
    AB  - Mathematics is one of an important tool for engineering and technology students to solve day-to-day problems in life in general and problems posed to them in engineering and technology courses in particular. To help them capture mathematical concepts use of appropriate instructional approach is equally important factor. Instruction supported by technological software is reported to be useful in general terms, but the importance on motivation is debated. To this end, Quasi-experiment research was conducted in Wolkite University to investigate MATLAB Software supported learning and students' motivation in learning Applied Mathematics II. Different instructional approaches: MATLAB Software supported traditional lecture method and MATLAB supported collaborative method were established for this purpose. Two intact classes, Mechanical engineering groups 1 and 2, were selected using a simple random sampling technique, each of which took specific intervention. The numbers of the students involved were initially 30 and 29 respectively. Both pre and post motivation Likert Scale items were prepared and administered to the respondents before and after treatment respectively. The results of the study show that there is no significant mean difference in students' motivation for learning mathematics between the two groups. Besides, there is no significant mean difference between the components of motivation except for intrinsic and extrinsic motivation that seeks further scrutiny. Reasons for non-significant difference were highlighted some of which included a lack of experience, and a lack of motivation to learn mathematics itself. The ability to manipulate technological software and access could also be noted that lay context at the center.
    VL  - 10
    IS  - 1
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Author Information
  • Department of Mathematics, Faculty of Natural Science and Computation, Wolkite University, Wolkite, Ethiopia

  • Department of Science and Mathematics Education, Addis Ababa University, Addis Ababa, Ethiopia

  • Department of Science and Mathematics Education, Addis Ababa University, Addis Ababa, Ethiopia

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