Evaluation of the Practicality and Effectiveness of Microcontroller-Based Robotics Trainers as Learning Media

Authors

  • Wahyudi Wahyudi Universitas Negeri Makassar
  • Hendra Jaya Universitas Negeri Makassar
  • Edy Sabara Universitas Negeri Makassar

DOI:

https://doi.org/10.55151/ijeedu.v3i1.46

Keywords:

Atmel AVR, Arduino, Bluetooth and IoT Connection, Education Media, Learning Materials

Abstract

The development of robotics technology occurred very rapidly in the industrial era of 4.0. Human interest in robot development is getting higher, and research related to robotics is increasingly emerging. One of these developments is the research of learning media, one of which is a robotics trainer. A robot is a mechanical device that can perform physical tasks, either using human supervision and control or using a program that has been logged in in the form of artificial intelligence. Based on this, a research study aimed to determine the stages of developing a microcontroller-based robotics trainer media as a learning medium at Universitas Negeri Makassar and producing a robotics trainer media that is valid, practical, and effective. The research method used is Research and Development (R&D) with the 4D development model theory, namely (1) defining, (2) designing, (3) development, (4) spreading. This study indicates that the microcontroller-based robotics trainer media developed on the media and material aspects are in the very right category to be used. The media trainer's implementation received student responses in the practical class in its use, and the results of student test scores after the performance had increased to be in the high category. The conclusion of these data states that the microcontroller-based robotics trainer media that has been developed is declared valid/suitable for use and practical and effective in its use.

References

M. Dopico, A. Gómez, D. De la Fuente, N. García, R. Rosillo, and J. Puche, “A vision of industry 4.0 from an artificial intelligence point of view,” in Proceedings on the international conference on artificial intelligence (ICAI), 2016, p. 407.

K. Schwab, The fourth industrial revolution. Currency, 2017.

A. Selamat, R. A. Alias, S. N. Hikmi, M. Puteh, and S. M. Tapsi, “Higher education 4.0: Current status and readiness in meeting the fourth industrial revolution challenges,” Redesigning High. Educ. Towar. Ind., vol. 4, pp. 23–24, 2017.

J. Mezirow, “A critical theory of adult learning and education,” Adult Educ., vol. 32, no. 1, pp. 3–24, 1981.

M. Kapur, “Examining productive failure, productive success, unproductive failure, and unproductive success in learning,” Educ. Psychol., vol. 51, no. 2, pp. 289–299, 2016.

C. Dede, “Technological supports for acquiring 21st century skills,” Int. Encycl. Educ., vol. 3, pp. 158–166, 2010.

P. Mishra and M. J. Koehler, “Introducing technological pedagogical content knowledge,” in annual meeting of the American Educational Research Association, 2008, pp. 1–16.

T. Agrawal, “Vocational education and training programs (VET): An Asian perspective.,” Asia-Pacific J. Coop. Educ., vol. 14, no. 1, pp. 15–26, 2013.

A. Anlezark, T. Karmel, and K. Ong, Have school vocational education and training programs been successful? National Centre for Vocational Education Research, 2006.

I. Forsyth, Teaching and learning materials and the Internet. Routledge, 2014.

L. S. Hawkins, C. A. Prosser, and J. C. Wright, Development of vocational education. American Technical Society, 1967.

C. A. Prosser and C. R. Allen, Vocational education in a democracy. Century Company, 1925.

Z. Pan and H. Zhang, “Robotic machining from programming to process control: a complete solution by force control,” Ind. Robot An Int. J., 2008.

R. P. Paul, Robot manipulators: mathematics, programming, and control: the computer control of robot manipulators. Richard Paul, 1981.

S. Nolfi and D. Floreano, Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines. MIT press, 2000.

B. Siciliano and O. Khatib, Springer handbook of robotics. springer, 2016.

R. Shahriyar, E. Hoque, S. M. Sohan, I. Naim, M. M. Akbar, and M. K. Khan, “Remote controlling of home appliances using mobile telephony,” Int. J. Smart Home, vol. 2, no. 3, pp. 37–54, 2008.

N. M. Morshed, G. M. Muid-Ur-Rahman, M. R. Karim, and H. U. Zaman, “Microcontroller based home automation system using Bluetooth, GSM, Wi-Fi and DTMF,” in 2015 International Conference on Advances in Electrical Engineering (ICAEE), 2015, pp. 101–104.

S. Laws, C. Harper, N. Jones, and R. Marcus, Research for development: A practical guide. Sage, 2013.

D. E. Meltzer, “The relationship between mathematics preparation and conceptual learning gains in physics: A possible ‘hidden variable’ in diagnostic pretest scores,” Am. J. Phys., vol. 70, no. 12, pp. 1259–1268, 2002.

R. R. Hake, “Analyzing Change/Gain Score.” USA: Macmillan Publishing, 1999.

T. Tofade, J. Elsner, and S. T. Haines, “Best practice strategies for effective use of questions as a teaching tool,” Am. J. Pharm. Educ., vol. 77, no. 7, 2013.

R. Ritchhart, M. Church, and K. Morrison, Making thinking visible: How to promote engagement, understanding, and independence for all learners. John Wiley & Sons, 2011.

R. Smilkstein, We′ re Born to Learn: Using the Brain′ s Natural Learning Process to Create Today′ s Curriculum. Corwin Press, 2011.

H. Gardner, Disciplined mind: What all students should understand. Simon & Schuster, 2021.

W. H. Levie and R. Lentz, “Effects of text illustrations: A review of research,” Ectj, vol. 30, no. 4, pp. 195–232, 1982.

Downloads

Published

2021-04-20

How to Cite

[1]
W. Wahyudi, H. Jaya, and E. Sabara, “Evaluation of the Practicality and Effectiveness of Microcontroller-Based Robotics Trainers as Learning Media”, Int. J. Environ. Eng. Educ., vol. 3, no. 1, pp. 25–31, Apr. 2021.

Issue

Section

Research Article