This study analyzed strategies for enhancing roadside motor vehicle mechanics on basic computer skills for effective manipulation of automotive digital diagnostic tools using a 4-point scale questionnaire, validated by three experts, on 30 master roadside motor vehicle mechanics and 20 apprentice roadside motor vehicle mechanics in Nsukka urban of Enugu state. The study was guided by three research questions. Descriptive survey research design was employed for the study. A reliability co-efficient of 0.95 was obtained using Cronbach alpha test. Mean and Standard Deviation were used to analyze data collected. Findings of the study revealed among others that roadside motor vehicle mechanics do not possess the needed computer skills for the effective manipulation of automotive digital diagnostic tools and this poses challenges to the diagnosis, repair and maintenance of modern vehicles. The current maintenance practice falls below international best practice required for effective manipulation of automotive digital diagnostic tools; as a result, roadside motor vehicle mechanics loss daily patronage from customers who use modern vehicles. The study recommended among others that stakeholders in collaboration with leaders of roadside motor vehicle mechanics should continually organize appropriate training and retraining programmes for up skilling of roadside motor vehicle mechanics in Nsukka urban of Enugu state.
Published in | American Journal of Mechanical and Industrial Engineering (Volume 5, Issue 6) |
DOI | 10.11648/j.ajmie.20200506.11 |
Page(s) | 71-77 |
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), 2020. Published by Science Publishing Group |
Roadside Motor Vehicle Mechanics, Basic Computer Skills, Sensors, Actuators, On-Board Diagnostic, Automotive Digital Diagnostic Tools
[1] | Africa's Next Automotive Hub. (2016). Retrieved from https://www.pwc.com/ng/en/assets/pdf/africas-next-automotive-hub.pdf |
[2] | Anyakoha, E. U. (2009). Developing research skills: Concept and conceptual framework. Nsukka: Great AP Express Publishers Ltd. |
[3] | Auto mechanics seek computer training to repair modern vehicles – Survey (2013, October 16). Retrieved from http://www.vanguardngr.com/2013/10/auto-mechanics-seek-computer-training-repair-modern-vehicles-survey/ |
[4] | Davidson, M. (2016). Automotive sensors. Retrieved from http://www.auto-repair-help.com/automotive_maintenance/automotive_sensors.php |
[5] | Cristian. G., Daniel. L., Cristian B. & Juan. L. (2017). A review about smart objects, sensors, and actuators! International journal of interactive multimedia and artificial intelligence, 1-5, DOI: 10.9781/ijimai.2017.431. |
[6] | Dentom, T. (2006). Advanced automotive fault diagnosis (2nd ed.). United Kingdom: Elsevier Ltd. |
[7] | Erjavec, J. (2009). Automotive technology: A system approach (5th ed.). Canada: Nelson Education Ltd. |
[8] | Fleming, W. J. (2002). Overview of automotive sensors Retrieved from http://ieeexplore.ieee.org/document/983469/?part=1 |
[9] | Etican, I., Musa, S., & Alkassim, R. (2015). Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 5 (1), 1-4 10.11648/j.ajtas.20160501.11. |
[10] | Roner, C. K. (2014). Improving automotive troubleshooting skills. Digital Commons@ USU All Graduate Plan B and other Reports Graduate Studies. Utah State University: Logan, Utah. |
[11] | Latzko, L. (2015). The advantages of being computer literate in the workforce. Retrieved from http://smallbusiness.chron.com/advantages-being-computer-literate-workforce-27703.html |
[12] | Lindsay, C. (2013). How car will get more helpful. Retrieved from www.autorcar.com |
[13] | Maigida, J. F., Francis, A. (2014). An analysis of issues in automobile mechanics' workplaces in Nigeria. International Journal of Vocational Education & Training. 22 (2), 78-92. |
[14] | Motavalli, J. (2010, February 4). The dozens of computers that make modern cars go (and stop). The New York Times. New York. Retrieved April 15, 2014, from http://www.nytimes.com/2010/02/05/technology/05electronics.html?_r=0 |
[15] | Nnabugwu, F. (2014, July 15). National Automotive Council trains 1,000 Mechanics in Abuja. Vanguard. Retrieved from http://www.vanguardngr.com/2014/07/nac-trains-1000-mechanics-abuja/ |
[16] | Schilling, R., Jordan, F., Rochford, G., and Nist, A. (2016). Automotive OBD-II device generating navigational information. Retrieved from http://www.freepatentsonline.com/y2016/0084657.html |
[17] | U.S. Environmental Protection Agency (U.S. EPA), 2015. On-Board Diagnostics (OBD). Available at http://www3.epa.gov/obd/index.html |
APA Style
Olaitan Olawale Opeyemi, Ujevbe Oke Benjamin. (2020). Strategies for Enhancing Roadside Motor Vehicle Mechanics on Basic Computer Skills for Effective Manipulation of Automotive Digital Diagnostic Tools in Nsukka Urban of Enugu State. American Journal of Mechanical and Industrial Engineering, 5(6), 71-77. https://doi.org/10.11648/j.ajmie.20200506.11
ACS Style
Olaitan Olawale Opeyemi; Ujevbe Oke Benjamin. Strategies for Enhancing Roadside Motor Vehicle Mechanics on Basic Computer Skills for Effective Manipulation of Automotive Digital Diagnostic Tools in Nsukka Urban of Enugu State. Am. J. Mech. Ind. Eng. 2020, 5(6), 71-77. doi: 10.11648/j.ajmie.20200506.11
AMA Style
Olaitan Olawale Opeyemi, Ujevbe Oke Benjamin. Strategies for Enhancing Roadside Motor Vehicle Mechanics on Basic Computer Skills for Effective Manipulation of Automotive Digital Diagnostic Tools in Nsukka Urban of Enugu State. Am J Mech Ind Eng. 2020;5(6):71-77. doi: 10.11648/j.ajmie.20200506.11
@article{10.11648/j.ajmie.20200506.11, author = {Olaitan Olawale Opeyemi and Ujevbe Oke Benjamin}, title = {Strategies for Enhancing Roadside Motor Vehicle Mechanics on Basic Computer Skills for Effective Manipulation of Automotive Digital Diagnostic Tools in Nsukka Urban of Enugu State}, journal = {American Journal of Mechanical and Industrial Engineering}, volume = {5}, number = {6}, pages = {71-77}, doi = {10.11648/j.ajmie.20200506.11}, url = {https://doi.org/10.11648/j.ajmie.20200506.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20200506.11}, abstract = {This study analyzed strategies for enhancing roadside motor vehicle mechanics on basic computer skills for effective manipulation of automotive digital diagnostic tools using a 4-point scale questionnaire, validated by three experts, on 30 master roadside motor vehicle mechanics and 20 apprentice roadside motor vehicle mechanics in Nsukka urban of Enugu state. The study was guided by three research questions. Descriptive survey research design was employed for the study. A reliability co-efficient of 0.95 was obtained using Cronbach alpha test. Mean and Standard Deviation were used to analyze data collected. Findings of the study revealed among others that roadside motor vehicle mechanics do not possess the needed computer skills for the effective manipulation of automotive digital diagnostic tools and this poses challenges to the diagnosis, repair and maintenance of modern vehicles. The current maintenance practice falls below international best practice required for effective manipulation of automotive digital diagnostic tools; as a result, roadside motor vehicle mechanics loss daily patronage from customers who use modern vehicles. The study recommended among others that stakeholders in collaboration with leaders of roadside motor vehicle mechanics should continually organize appropriate training and retraining programmes for up skilling of roadside motor vehicle mechanics in Nsukka urban of Enugu state.}, year = {2020} }
TY - JOUR T1 - Strategies for Enhancing Roadside Motor Vehicle Mechanics on Basic Computer Skills for Effective Manipulation of Automotive Digital Diagnostic Tools in Nsukka Urban of Enugu State AU - Olaitan Olawale Opeyemi AU - Ujevbe Oke Benjamin Y1 - 2020/12/11 PY - 2020 N1 - https://doi.org/10.11648/j.ajmie.20200506.11 DO - 10.11648/j.ajmie.20200506.11 T2 - American Journal of Mechanical and Industrial Engineering JF - American Journal of Mechanical and Industrial Engineering JO - American Journal of Mechanical and Industrial Engineering SP - 71 EP - 77 PB - Science Publishing Group SN - 2575-6060 UR - https://doi.org/10.11648/j.ajmie.20200506.11 AB - This study analyzed strategies for enhancing roadside motor vehicle mechanics on basic computer skills for effective manipulation of automotive digital diagnostic tools using a 4-point scale questionnaire, validated by three experts, on 30 master roadside motor vehicle mechanics and 20 apprentice roadside motor vehicle mechanics in Nsukka urban of Enugu state. The study was guided by three research questions. Descriptive survey research design was employed for the study. A reliability co-efficient of 0.95 was obtained using Cronbach alpha test. Mean and Standard Deviation were used to analyze data collected. Findings of the study revealed among others that roadside motor vehicle mechanics do not possess the needed computer skills for the effective manipulation of automotive digital diagnostic tools and this poses challenges to the diagnosis, repair and maintenance of modern vehicles. The current maintenance practice falls below international best practice required for effective manipulation of automotive digital diagnostic tools; as a result, roadside motor vehicle mechanics loss daily patronage from customers who use modern vehicles. The study recommended among others that stakeholders in collaboration with leaders of roadside motor vehicle mechanics should continually organize appropriate training and retraining programmes for up skilling of roadside motor vehicle mechanics in Nsukka urban of Enugu state. VL - 5 IS - 6 ER -