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Study on Theoretical Aspects of Enhanced Intelligent Coaching Agent in Employee Performance Appraisal in Tertiary Institutions in Nigeria

Onukwugha Chinwe Gilean1 , Amanze Bethran Chibuike2 , Udegbe Ikechukwu Valentine3

Section:Survey Paper, Product Type: Journal Paper
Volume-10 , Issue-7 , Page no. 20-26, Jul-2022

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v10i7.2026

Online published on Jul 31, 2022

Copyright © Onukwugha Chinwe Gilean, Amanze Bethran Chibuike, Udegbe Ikechukwu Valentine . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Onukwugha Chinwe Gilean, Amanze Bethran Chibuike, Udegbe Ikechukwu Valentine, “Study on Theoretical Aspects of Enhanced Intelligent Coaching Agent in Employee Performance Appraisal in Tertiary Institutions in Nigeria,” International Journal of Computer Sciences and Engineering, Vol.10, Issue.7, pp.20-26, 2022.

MLA Style Citation: Onukwugha Chinwe Gilean, Amanze Bethran Chibuike, Udegbe Ikechukwu Valentine "Study on Theoretical Aspects of Enhanced Intelligent Coaching Agent in Employee Performance Appraisal in Tertiary Institutions in Nigeria." International Journal of Computer Sciences and Engineering 10.7 (2022): 20-26.

APA Style Citation: Onukwugha Chinwe Gilean, Amanze Bethran Chibuike, Udegbe Ikechukwu Valentine, (2022). Study on Theoretical Aspects of Enhanced Intelligent Coaching Agent in Employee Performance Appraisal in Tertiary Institutions in Nigeria. International Journal of Computer Sciences and Engineering, 10(7), 20-26.

BibTex Style Citation:
@article{Gilean_2022,
author = {Onukwugha Chinwe Gilean, Amanze Bethran Chibuike, Udegbe Ikechukwu Valentine},
title = {Study on Theoretical Aspects of Enhanced Intelligent Coaching Agent in Employee Performance Appraisal in Tertiary Institutions in Nigeria},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2022},
volume = {10},
Issue = {7},
month = {7},
year = {2022},
issn = {2347-2693},
pages = {20-26},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5495},
doi = {https://doi.org/10.26438/ijcse/v10i7.2026}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v10i7.2026}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5495
TI - Study on Theoretical Aspects of Enhanced Intelligent Coaching Agent in Employee Performance Appraisal in Tertiary Institutions in Nigeria
T2 - International Journal of Computer Sciences and Engineering
AU - Onukwugha Chinwe Gilean, Amanze Bethran Chibuike, Udegbe Ikechukwu Valentine
PY - 2022
DA - 2022/07/31
PB - IJCSE, Indore, INDIA
SP - 20-26
IS - 7
VL - 10
SN - 2347-2693
ER -

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Abstract

The intelligent coaching agent for enhancing employee performance appraisal was designed to appraise the employee performance and illustrated how intelligent coaching agent – supervised learning can be used as a support tool for the assessment of employee task performance. We have shown how it provides weight score for each task and later used for the evaluation of the team performance in terms of job executed as against the expected performance. We have also indicated how it gives manager the ability to incorporate accuracy levels for the staff performance appraisal. The new system allows employee, team managers and general manager to access their performance records from any point of internet access point. The system has facilities: staff registration module, setting up of task and assigning weight scores to the task, assigning task to individuals in the team, monitoring the execution of those task, comparative analysis of the performance using supervised learning to determine the level of performance based on the assigned task against the task executed by the team. The result obtained from the testing of the new system shows a high level of accuracy in determining the team performance and rates it in percentage.

Key-Words / Index Term

Supervised Learning, Employee Appraisal and Team Managers.

References

[1] Dessler, G. (2013). Human Resource Management. New Jersey, USA: Pearson Education, 2013.
[2] AlShaikhly, N.A. (2017). The Impact of Human Resource Management Practices on Employees’ Satisfaction: A Field Study in the Jordanian Telecommunication Companies. Middle East University, 2017.
[3] Koopmans, L., Bernaards, C. M., Hildebrandt, V. H.., and Beek, A. J. (2013). measuring individual work performance: Identifying and selecting indicators. Work. A Journal of Prevention, Assessment and Rehabilitation, 2013.
[4] Eldman, D. C. A. and Hugh J. (2019). Managing Individual and Group Behavior in organism. McGraw Hill Book Company, Japan, 392, 2019.
[5] Shaukat, H. M.N. (2015). Impact of Human Resource Management Practices on Employees Performance. Middle-East Journal of Scientific Research 23 (2), 329- 338, 2015.
[6] Terrence, H. M. and Joyce, M. (2014). Performance Appraisals, ABA Labor and Employment Law Section, Equal Employment Opportunity Committee, 2014.
[7] Vicky, G. (2019). Performance Appraisals, Loss Control Services, Texas Association of Counties, 2019.
[8] Jing, R.C, Cheng, C. H. and Chen, L. S. (2017). A Fuzzy-Based Military Officer Performance Appraisal System. Applied Soft Computing, 7(3), 936-945, 2017.
[9] Vukosi, N. M., George, S., and Tshilidzi, M. (2020). An Intelligent Multi-Agent Recommender System for Human Capacity Building. Proceedings of the 5th International symposium on Spatial Data Quality, June 2020.
[10] Keith, B., Nick, T., Yanguo, J. and Tariq, K. (2017). Intelligent Agents an Approach to Supporting Multiple Model Based Training Systems. Intelligent Systems Lab Department of Computing & Electrical Engineering Heriot-Watt University, Edinburgh, UK, 2017.