Perceived Bias and Learner Attitudes in The Implementation of Competency-Based Assessments in Kenyan TVET National Polytechnics
Year: 2025
Type: article
Study design: Observational Study
Abstract: This study explored trainee attitudes and perceived bias in the implementation of Competency-Based Assessment (CBA) in Kenyan national polytechnic automotive departments. As TVET institutions embrace Competency-Based Education and Training (CBET), fairness, inclusivity, and effectiveness in assessment practices are paramount in guaranteeing effective learning and acquisition of skills. The study employed simple random sampling, purposive sampling and stratified sampling techniques. The study had a sample size of 317 participants out of which 296 took part in the study. The 296 responded comprised of 272 automotive trainees, 18 Automotive engineering Trainers and 6 institutional administrators. Quantitative data were collected by structured questionnaires administered to trainers and trainees and qualitative data were collected by semi-structured interviews administered to administrators. The validity of the research instruments was established by having the instruments critiqued by three experts from the University of Eldoret. The internal consistency was established using Cronbach’s coefficient which was above 0.70. the data was analysed using descriptive statistics in form of frequencies, percentages and means. The analysis was aided by SPSS version 29. The results revealed that Trainers (r=0.907, p=0.000) and Trainees (r=0.874, p=0.000) indicated the existence of a strong significant positive relationship between the attitude, biasness and effectiveness of assessments at 0.01 level in a two tailed test. The findings pointed to a good learning environment but suggested more transparency and preparation of learners. The study informs policy deliberations on how to create improved assessment practice in CBET and how to enhance the participation of learners in Kenya's TVET system.
Authors: Apollo Maingi, Peter M. Musyoka
Institution: Dedan Kimathi University of Technology
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4415720448