https://journalarsvot.com/index.php/ajvah <p><strong>Asian Journal of Vocational Education and Humanities (AJVAH) [ISSN 2735-0215 eISSN 2735-1165]</strong> is a peer-reviewed international journal which welcomes submission involving a critical discussion of policy and practice, as well as contributions to conceptual and theoretical developments in the field not only restricted in the context of Asian region but also open to other regions. It includes articles based on empirical research and analysis (qualitative, quantitative and mix method), systematic literature review and short communication in which it welcomes papers from a wide range of disciplinary in the context of education and inter-disciplinary perspectives vocational and humanities.</p> Association for Researcher of Skills and Vocational Training en-US Asian Journal of Vocational Education And Humanities 2735-0215 https://journalarsvot.com/index.php/ajvah/article/view/515 <p>This study investigated the relationship between self-concept and students' academic performance in electrical installation and maintenance works in technical colleges in Edo State. A correlational survey research design was adopted for the study. One research question and one null hypothesis guided the study, the hypothesis was formulated and tested at .05 level of significance. Two research instruments were used which included standardized electrical installation and maintenance works students' academic achievement test, and self-concept questionnaire. Standardized electrical installation and maintenance works achievement test was adopted from the National Technical Certificate Examination past questions. Cronbach Alpha was used to determine the reliability coefficients of' self-concept questionnaire which yielded the reliability coefficient values ​​of 0. 87obtained. The population of the study consisted of 127 electrical installation and maintenance works students from the 05 (five) technical colleges in Edo States. There was no sampling technique, due to the manageable sizes of the total population, 117 returned instruments were used for data analysis. The Statistical Package for Social Science (SPSS) version 23.0 was used as the statistical package for data analyses. The statistical tool used to perform the data analyzes was inferential statistics. Such as Pearson Product Moment Correlation Co-efficient (PPMCC). PPMCC statistic was performed to answer research question and linear regression to test hypothesis at 0.05 level of significance. Results revealed a high positive correlation and relationship between self-concept and students' academic performance in electrical installation and maintenance works in technical colleges in Edo State. Based on this finding, it was recommended among others that teachers should ensure that students develop a good self-perception by providing motivation books in school library and promoting motivational speech both in school assembly and home, employ the services of school counselor to counsel the students on the benefits of improving self-concepts among others.</p> Samuel Osamede Ogbebor Jane Itohan Oviawe Copyright (c) 2024 Samuel Osamede Ogbebor, Jane Itohan Oviawe https://creativecommons.org/licenses/by-nc-sa/4.0 2024-07-16 2024-07-16 5 2 1 8 10.53797/ajvah.v5i2.1.2024 https://journalarsvot.com/index.php/ajvah/article/view/571 <p>The Internet of Things (IoT) has emerged as a transformative technology in agriculture, offering innovative solutions to enhance productivity and sustainability. This study examines the readiness of agricultural graduates from four Malaysian universities to adopt IoT technologies, addressing challenges in the agricultural sector. The research assesses graduates' understanding, attitudes, and perceived usefulness of IoT, identifying factors influencing their preparedness for IoT integration. Data collected from 204 respondents through a structured questionnaire revealed that perceived usefulness is the strongest predictor of IoT readiness, followed by perceived behavioral control and social influences. Attitude, though positively correlated, was not a significant predictor. The study extends the Technology Acceptance Model (TAM) by incorporating perceived behavioral control and social influences, offering theoretical and practical insights. It recommends integrating IoT-related subjects and hands-on training in educational programs to enhance readiness. Future research should explore external factors like IoT infrastructure and government policies to understand barriers and facilitators of IoT adoption in agriculture.</p> Muhamad Nazarwin Zainal Abidin Muhammad Zakwan Anas Abd Wahid Samihah Mustaffha Fazleen Abdul Fatah Copyright (c) 2024 Muhamad Nazarwin Zainal Abidin, Muhammad Zakwan Anas Abd Wahid, Samihah Mustaffha, Fazleen Abdul Fatah https://creativecommons.org/licenses/by-nc-sa/4.0 2024-12-02 2024-12-02 5 2 9 18 10.53797/ajvah.v5i2.2.2024