The use of electronic training effectiveness evaluation management system (E-TEEMS) for measuring training effectiveness

Aida Fazlin Hisham Hassan(1), Mohd Hidayat Onos Yunus(2), Siti Sarah Malini Mohd Hanifa(3),
(1) Politeknik Kuala Terengganu  Malaysia
(2) Politeknik Kuala Terengganu  Malaysia
(3) Politeknik Kuala Terengganu  Malaysia

Corresponding Author
Copyright (c) 2025 Aida Fazlin Hisham@Hassan

DOI : https://doi.org/10.29210/8815401

Full Text:    Language : en

Abstract


In the modern era of digitalization, the importance of having a systematic computer system to evaluate the effectiveness of training attended has become increasingly apparent. Digitalization, which refers to the integration of digital technologies into everyday operations, has transformed various sectors, including training and development. The absence of a proper system to track training effectiveness in many organizations results in significant challenges in evaluating and managing training outcomes. This deficiency often leads to missing critical information, making it difficult to assess the impact of training programs. Additionally, the inaccuracy of manually recorded information further undermines the reliability of training evaluations. This research aims to propose a computer system designed, the Electronics Training Effectiveness Evaluation Management System (E-TEEMS) to address these challenges by providing a robust solution for accurately and efficiently recording the effectiveness of training programs. In order to investigate and develop E-TEEMS, the research methods will be utilized are record analysis and focused group discussion.

Keywords


Evaluation; Efficiency; Management System

References


Adams, R., & Brown, P. (2024). Strategic applications of learning analytics in technical training. Journal of Workplace Learning, 36(2), 112–127. https://doi.org/10.1108/JWL-04-2023-0185

Brown, A., & Green, T. (2019). The essentials of instructional design: Connecting fundamental principles with process and practice (4th ed.). Routledge.

Chen, X., Zhang, Y., & Li, J. (2020). Automated training evaluation systems and their impact on learning outcomes: A data-driven perspective. Journal of Educational Technology Development and Exchange, 13(2), 45–62. https://doi.org/10.18785/jetde.1302.04

Chen, Y. (2023). Data-driven approaches in workforce education: Leveraging analytics for continuous improvement. International Journal of Educational Technology, 40(1), 55–73. https://doi.org/10.1080/xyz.2023.104512

Chen, Z., & Williams, M. (2023). Designing intuitive user interfaces for digital learning platforms. Educational Technology Research and Development, 71(3), 455–472. https://doi.org/10.1007/s11423-023-10245-9

Clark, H., Davis, K., & Patel, A. (2022). Ensuring accuracy in digital training evaluations: Automated validation methods. Computers & Education, 186, 104543. https://doi.org/10.1016/j.compedu.2022.104543

Davis, R. (2023). Leveraging digital tools for workforce training evaluation: A strategic approach. International Journal of Training and Development, 27(1), 78–92. https://doi.org/10.1111/ijtd.12345

Evans, L. (2024). Improving decision-making in corporate training through reliable evaluation systems. Human Resource Development Quarterly, 35(2), 214–231. https://doi.org/10.1002/hrdq.21567

Foster, T., Zhang, Q., & Lee, R. (2023). Real-time performance feedback in professional training: Impacts on learner engagement. Journal of Learning Analytics, 10(2), 88–103. https://doi.org/10.18608/jla.2023.106

Garcia, M. (2024). Accessibility in digital learning systems: Designing for inclusivity. British Journal of Educational Technology, 55(1), 14–29. https://doi.org/10.1111/bjet.13278

Green, S. (2023). Automating training evaluation: Implications for efficiency and resource management. International Journal of Training Research, 21(1), 45–60. https://doi.org/10.1080/14480220.2023.116234

Jones, P., Taylor, L., & Morgan, H. (2022). Challenges in evaluating professional training programs: A review of traditional and modern approaches. Journal of Workplace Learning, 34(5), 421–436. https://doi.org/10.1108/JWL-09-2021-0123

Kirkpatrick, D. L. (1994). Evaluating training programs: The four levels. Berrett-Koehler.

Li, J., Sun, K., & Zhao, H. (2022). Agile approaches to training evaluation in technology-driven workplaces. Asia Pacific Journal of Human Resources, 60(4), 511–528. https://doi.org/10.1111/1744-7941.12345

Martin, D. (2024). Transforming raw data into strategic intelligence: The role of analytics in training evaluation. Journal of Organizational Effectiveness, 11(1), 66–83. https://doi.org/10.1108/JOEPP-01-2024-0012

Miller, A. (2024). Self-directed learning and real-time assessment in technical education. Journal of Educational Research and Practice, 14(2), 99–115. https://doi.org/10.5590/JERAP.2024.14.2.08

Miller, R., & Johnson, T. (2024). User-centered design in training evaluation systems: Enhancing usability and adoption. International Review of Research in Open and Distributed Learning, 25(1), 122–138. https://doi.org/10.19173/irrodl.v25i1.7220

Noe, R. A., Clarke, A. D. M., & Klein, H. J. (2017). Learning in the twenty-first-century workplace. Annual Review of Organizational Psychology and Organizational Behavior, 4(1), 245–275. https://doi.org/10.1146/annurev-orgpsych-032516-113325

Patel, N., & Sharma, V. (2024). The role of automation in training program evaluation: A case study in electronics education. Journal of Technical Education and Training, 16(2), 77–92. https://doi.org/10.30880/jtet.2024.16.02.007

Smith, J. (2021). Data-driven decision making in organizational training: Opportunities and challenges. Human Resource Development Quarterly, 32(4), 567–585. https://doi.org/10.1002/hrdq.21456

Taylor, M., & Chen, H. (2023). Adaptive feedback mechanisms in digital training platforms. Interactive Learning Environments, 31(7), 1209–1225. https://doi.org/10.1080/10494820.2022.206543

Thompson, J., & Wright, S. (2023). Evaluating the limitations of manual training assessment methods. Journal of Vocational Education & Training, 75(3), 367–383. https://doi.org/10.1080/13636820.2023.114587


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