Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions

Osita Anthony Ezeama; George Besheng Akuchu; Rita Nneka Ezeama; Pauline Ijeoma Obe; Victor Ikechukwu Oguejiofor; Paul Awo Nwobasi

doi:doi:10.11648/j.ajmme.20210504.12

Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions

Osita Anthony Ezeama, George Besheng Akuchu, Rita Nneka Ezeama, Pauline Ijeoma Obe, Victor Ikechukwu Oguejiofor, Paul Awo Nwobasi

Published in American Journal of Mechanical and Materials Engineering (Volume 5, Issue 4)

Received: 6 October 2021 Accepted: 2 November 2021 Published: 24 December 2021

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Abstract

The major aim of this study was to investigate the effects of Distributed Cognition Learning Theories on Trainers Capacity Building in the use of Autotronic tools for Skill acquisition in Nigeria Tertiary Institutions. In the study which was experimental with pre-test and post-test control groups of 84 (having n=44 as experimental and n=40 as control) participants made up of automobile/autotronic engineering trainers in Nigeria tertiary institutions. Instruments used for data collection was: Autotronic Simulator Interest Inventory (ASII), Autotronic Demonstrator Perception Inventory (ADPI) and Auto Diagnostic Competence Test (ADCT) to determine trainers capacity building needs using Improvement Needed Index (INI). In describing the instruments used for data collection, ASII, ADPI and ADCT were designed to seek information concerning application of Distributed Cognition Learning Theories (DCLT) approaches of physical prototypes, design analysis tools and computer-aided design models. The ASII and ADPI have 24 items while ADCT has 12 items and were analysed appling mean and standard deviation. Also, the score guide sheet was based on a four-point rating scale used by ratters. The Pearson Product Moment Coefficient of the test instrument was used to determine the reliability coefficient of 0.79. The data collected was in line with the research questions and hypotheses which were analysed. In taking decisions for items on interest, perception and competence, any mean of 3.50 and above are regarded as highly important and high performance, 2.50 - 3.49 mean are moderately important and moderate performance while mean of less than 1.50 are regarded as not important and very low performance. Analysis of variance (ANOVA) was applied to test the null hypothesis at 0.05 level of significance and with the use of MATLAB for the graphical representations of the mean ratings that was used to answer the research questions. DCLT and Autotronic tools showed changes in the interest, perception and competence of Trainers was found in the process. The following recommendations are made: Review of curriculum to incorporate activities that reflect DCLT for imparting autotronic engineering with modern skill; trainers to be periodically encouraged to embark on capacity building training as the government is expected to equip the departments with the latest autotronic technology facilities.

Published in	American Journal of Mechanical and Materials Engineering (Volume 5, Issue 4)
DOI	10.11648/j.ajmme.20210504.12
Page(s)	60-70
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

Tertiary Institutions, Autotronic Technology, Simulators, Demonstrators, Auto Diagnostic Tools, Skill Acquisition, Capacity Building, Distributed Cognition Learning Theories

References

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[14]	Rousse, B. S. (2019). Revisiting the Six Stages of Skill Acquisition (with Stuart Dreyfus). Available online: (PDF) Revisiting the Six Stages of Skill Acquisition (with Stuart Dreyfus) \| B. Scot Rousse - Academia.edu.
[15]	Schunn, C., and Silk, E. (2011). Learning Theories for Engineering and Technology Education. In: Barak M., Hacker M. (eds) Fostering Human Development Through Engineering and Technology Education. International Technology Education Studies, vol 6. Sense Publishers. https://doi.org/10.1007/978-94-6091-549-9_1.
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Osita Anthony Ezeama, George Besheng Akuchu, Rita Nneka Ezeama, Pauline Ijeoma Obe, Victor Ikechukwu Oguejiofor, et al. (2021). Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions. American Journal of Mechanical and Materials Engineering, 5(4), 60-70. https://doi.org/10.11648/j.ajmme.20210504.12

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ACS Style

Osita Anthony Ezeama; George Besheng Akuchu; Rita Nneka Ezeama; Pauline Ijeoma Obe; Victor Ikechukwu Oguejiofor, et al. Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions. Am. J. Mech. Mater. Eng. 2021, 5(4), 60-70. doi: 10.11648/j.ajmme.20210504.12

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Osita Anthony Ezeama, George Besheng Akuchu, Rita Nneka Ezeama, Pauline Ijeoma Obe, Victor Ikechukwu Oguejiofor, et al. Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions. Am J Mech Mater Eng. 2021;5(4):60-70. doi: 10.11648/j.ajmme.20210504.12

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@article{10.11648/j.ajmme.20210504.12,
  author = {Osita Anthony Ezeama and George Besheng Akuchu and Rita Nneka Ezeama and Pauline Ijeoma Obe and Victor Ikechukwu Oguejiofor and Paul Awo Nwobasi},
  title = {Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions},
  journal = {American Journal of Mechanical and Materials Engineering},
  volume = {5},
  number = {4},
  pages = {60-70},
  doi = {10.11648/j.ajmme.20210504.12},
  url = {https://doi.org/10.11648/j.ajmme.20210504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmme.20210504.12},
  abstract = {The major aim of this study was to investigate the effects of Distributed Cognition Learning Theories on Trainers Capacity Building in the use of Autotronic tools for Skill acquisition in Nigeria Tertiary Institutions. In the study which was experimental with pre-test and post-test control groups of 84 (having n=44 as experimental and n=40 as control) participants made up of automobile/autotronic engineering trainers in Nigeria tertiary institutions. Instruments used for data collection was: Autotronic Simulator Interest Inventory (ASII), Autotronic Demonstrator Perception Inventory (ADPI) and Auto Diagnostic Competence Test (ADCT) to determine trainers capacity building needs using Improvement Needed Index (INI). In describing the instruments used for data collection, ASII, ADPI and ADCT were designed to seek information concerning application of Distributed Cognition Learning Theories (DCLT) approaches of physical prototypes, design analysis tools and computer-aided design models. The ASII and ADPI have 24 items while ADCT has 12 items and were analysed appling mean and standard deviation. Also, the score guide sheet was based on a four-point rating scale used by ratters. The Pearson Product Moment Coefficient of the test instrument was used to determine the reliability coefficient of 0.79. The data collected was in line with the research questions and hypotheses which were analysed. In taking decisions for items on interest, perception and competence, any mean of 3.50 and above are regarded as highly important and high performance, 2.50 - 3.49 mean are moderately important and moderate performance while mean of less than 1.50 are regarded as not important and very low performance. Analysis of variance (ANOVA) was applied to test the null hypothesis at 0.05 level of significance and with the use of MATLAB for the graphical representations of the mean ratings that was used to answer the research questions. DCLT and Autotronic tools showed changes in the interest, perception and competence of Trainers was found in the process. The following recommendations are made: Review of curriculum to incorporate activities that reflect DCLT for imparting autotronic engineering with modern skill; trainers to be periodically encouraged to embark on capacity building training as the government is expected to equip the departments with the latest autotronic technology facilities.},
 year = {2021}
}

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TY  - JOUR
T1  - Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions
AU  - Osita Anthony Ezeama
AU  - George Besheng Akuchu
AU  - Rita Nneka Ezeama
AU  - Pauline Ijeoma Obe
AU  - Victor Ikechukwu Oguejiofor
AU  - Paul Awo Nwobasi
Y1  - 2021/12/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ajmme.20210504.12
DO  - 10.11648/j.ajmme.20210504.12
T2  - American Journal of Mechanical and Materials Engineering
JF  - American Journal of Mechanical and Materials Engineering
JO  - American Journal of Mechanical and Materials Engineering
SP  - 60
EP  - 70
PB  - Science Publishing Group
SN  - 2639-9652
UR  - https://doi.org/10.11648/j.ajmme.20210504.12
AB  - The major aim of this study was to investigate the effects of Distributed Cognition Learning Theories on Trainers Capacity Building in the use of Autotronic tools for Skill acquisition in Nigeria Tertiary Institutions. In the study which was experimental with pre-test and post-test control groups of 84 (having n=44 as experimental and n=40 as control) participants made up of automobile/autotronic engineering trainers in Nigeria tertiary institutions. Instruments used for data collection was: Autotronic Simulator Interest Inventory (ASII), Autotronic Demonstrator Perception Inventory (ADPI) and Auto Diagnostic Competence Test (ADCT) to determine trainers capacity building needs using Improvement Needed Index (INI). In describing the instruments used for data collection, ASII, ADPI and ADCT were designed to seek information concerning application of Distributed Cognition Learning Theories (DCLT) approaches of physical prototypes, design analysis tools and computer-aided design models. The ASII and ADPI have 24 items while ADCT has 12 items and were analysed appling mean and standard deviation. Also, the score guide sheet was based on a four-point rating scale used by ratters. The Pearson Product Moment Coefficient of the test instrument was used to determine the reliability coefficient of 0.79. The data collected was in line with the research questions and hypotheses which were analysed. In taking decisions for items on interest, perception and competence, any mean of 3.50 and above are regarded as highly important and high performance, 2.50 - 3.49 mean are moderately important and moderate performance while mean of less than 1.50 are regarded as not important and very low performance. Analysis of variance (ANOVA) was applied to test the null hypothesis at 0.05 level of significance and with the use of MATLAB for the graphical representations of the mean ratings that was used to answer the research questions. DCLT and Autotronic tools showed changes in the interest, perception and competence of Trainers was found in the process. The following recommendations are made: Review of curriculum to incorporate activities that reflect DCLT for imparting autotronic engineering with modern skill; trainers to be periodically encouraged to embark on capacity building training as the government is expected to equip the departments with the latest autotronic technology facilities.
VL  - 5
IS  - 4
ER  -

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Author Information

Osita Anthony Ezeama

Department of Mechatronic Engineering, University of Nigeria, Nsukka, Nigeria
George Besheng Akuchu

Department of Mathematics, University of Nigeria, Nsukka, Nigeria
Rita Nneka Ezeama

Department of Education Economics, University of Nigeria, Nsukka, Nigeria
Pauline Ijeoma Obe

Department of Industrial Technical Education, University of Nigeria, Nsukka, Nigeria
Victor Ikechukwu Oguejiofor

Department of Industrial Technical Education, University of Nigeria, Nsukka, Nigeria
Paul Awo Nwobasi

Department of Technology and Vocational, Ebonyi State University, Abakaliki, Nigeria

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Osita Anthony Ezeama, George Besheng Akuchu, Rita Nneka Ezeama, Pauline Ijeoma Obe, Victor Ikechukwu Oguejiofor, et al. (2021). Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions. American Journal of Mechanical and Materials Engineering, 5(4), 60-70. https://doi.org/10.11648/j.ajmme.20210504.12

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ACS Style

Osita Anthony Ezeama; George Besheng Akuchu; Rita Nneka Ezeama; Pauline Ijeoma Obe; Victor Ikechukwu Oguejiofor, et al. Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions. Am. J. Mech. Mater. Eng. 2021, 5(4), 60-70. doi: 10.11648/j.ajmme.20210504.12

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AMA Style

Osita Anthony Ezeama, George Besheng Akuchu, Rita Nneka Ezeama, Pauline Ijeoma Obe, Victor Ikechukwu Oguejiofor, et al. Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions. Am J Mech Mater Eng. 2021;5(4):60-70. doi: 10.11648/j.ajmme.20210504.12

Copy | Download

@article{10.11648/j.ajmme.20210504.12,
  author = {Osita Anthony Ezeama and George Besheng Akuchu and Rita Nneka Ezeama and Pauline Ijeoma Obe and Victor Ikechukwu Oguejiofor and Paul Awo Nwobasi},
  title = {Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions},
  journal = {American Journal of Mechanical and Materials Engineering},
  volume = {5},
  number = {4},
  pages = {60-70},
  doi = {10.11648/j.ajmme.20210504.12},
  url = {https://doi.org/10.11648/j.ajmme.20210504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmme.20210504.12},
  abstract = {The major aim of this study was to investigate the effects of Distributed Cognition Learning Theories on Trainers Capacity Building in the use of Autotronic tools for Skill acquisition in Nigeria Tertiary Institutions. In the study which was experimental with pre-test and post-test control groups of 84 (having n=44 as experimental and n=40 as control) participants made up of automobile/autotronic engineering trainers in Nigeria tertiary institutions. Instruments used for data collection was: Autotronic Simulator Interest Inventory (ASII), Autotronic Demonstrator Perception Inventory (ADPI) and Auto Diagnostic Competence Test (ADCT) to determine trainers capacity building needs using Improvement Needed Index (INI). In describing the instruments used for data collection, ASII, ADPI and ADCT were designed to seek information concerning application of Distributed Cognition Learning Theories (DCLT) approaches of physical prototypes, design analysis tools and computer-aided design models. The ASII and ADPI have 24 items while ADCT has 12 items and were analysed appling mean and standard deviation. Also, the score guide sheet was based on a four-point rating scale used by ratters. The Pearson Product Moment Coefficient of the test instrument was used to determine the reliability coefficient of 0.79. The data collected was in line with the research questions and hypotheses which were analysed. In taking decisions for items on interest, perception and competence, any mean of 3.50 and above are regarded as highly important and high performance, 2.50 - 3.49 mean are moderately important and moderate performance while mean of less than 1.50 are regarded as not important and very low performance. Analysis of variance (ANOVA) was applied to test the null hypothesis at 0.05 level of significance and with the use of MATLAB for the graphical representations of the mean ratings that was used to answer the research questions. DCLT and Autotronic tools showed changes in the interest, perception and competence of Trainers was found in the process. The following recommendations are made: Review of curriculum to incorporate activities that reflect DCLT for imparting autotronic engineering with modern skill; trainers to be periodically encouraged to embark on capacity building training as the government is expected to equip the departments with the latest autotronic technology facilities.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Distributed Cognition Learning Theories on Trainers Capacity Building in Use of Autotronic Tools for Skill Acquisition in Nigeria Tertiary Institutions
AU  - Osita Anthony Ezeama
AU  - George Besheng Akuchu
AU  - Rita Nneka Ezeama
AU  - Pauline Ijeoma Obe
AU  - Victor Ikechukwu Oguejiofor
AU  - Paul Awo Nwobasi
Y1  - 2021/12/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ajmme.20210504.12
DO  - 10.11648/j.ajmme.20210504.12
T2  - American Journal of Mechanical and Materials Engineering
JF  - American Journal of Mechanical and Materials Engineering
JO  - American Journal of Mechanical and Materials Engineering
SP  - 60
EP  - 70
PB  - Science Publishing Group
SN  - 2639-9652
UR  - https://doi.org/10.11648/j.ajmme.20210504.12
AB  - The major aim of this study was to investigate the effects of Distributed Cognition Learning Theories on Trainers Capacity Building in the use of Autotronic tools for Skill acquisition in Nigeria Tertiary Institutions. In the study which was experimental with pre-test and post-test control groups of 84 (having n=44 as experimental and n=40 as control) participants made up of automobile/autotronic engineering trainers in Nigeria tertiary institutions. Instruments used for data collection was: Autotronic Simulator Interest Inventory (ASII), Autotronic Demonstrator Perception Inventory (ADPI) and Auto Diagnostic Competence Test (ADCT) to determine trainers capacity building needs using Improvement Needed Index (INI). In describing the instruments used for data collection, ASII, ADPI and ADCT were designed to seek information concerning application of Distributed Cognition Learning Theories (DCLT) approaches of physical prototypes, design analysis tools and computer-aided design models. The ASII and ADPI have 24 items while ADCT has 12 items and were analysed appling mean and standard deviation. Also, the score guide sheet was based on a four-point rating scale used by ratters. The Pearson Product Moment Coefficient of the test instrument was used to determine the reliability coefficient of 0.79. The data collected was in line with the research questions and hypotheses which were analysed. In taking decisions for items on interest, perception and competence, any mean of 3.50 and above are regarded as highly important and high performance, 2.50 - 3.49 mean are moderately important and moderate performance while mean of less than 1.50 are regarded as not important and very low performance. Analysis of variance (ANOVA) was applied to test the null hypothesis at 0.05 level of significance and with the use of MATLAB for the graphical representations of the mean ratings that was used to answer the research questions. DCLT and Autotronic tools showed changes in the interest, perception and competence of Trainers was found in the process. The following recommendations are made: Review of curriculum to incorporate activities that reflect DCLT for imparting autotronic engineering with modern skill; trainers to be periodically encouraged to embark on capacity building training as the government is expected to equip the departments with the latest autotronic technology facilities.
VL  - 5
IS  - 4
ER  -

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