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All Journal Mimbar Ilmu Edukasiana: Jurnal Inovasi Pendidikan International Journal of Instructional Technology Lembaran Ilmu Kependidikan
Shogbesan, Yusuf Olayinka
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Religion Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Artificial Intelligence (AI): Perception and Utilization of AI Technologies in Educational Assessment in Nigerian Universities Ibrahim, Abdul-Wahab; Taura, Ali Abdullahi; Iliyasu, Abdullahi; Shogbesan, Yusuf Olayinka; Lukman, Shehu Adaramaja
Edukasiana: Jurnal Inovasi Pendidikan Vol. 3 No. 3 (2024)
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ejip.v3i3.763

Abstract

The ubiquity of Artificial Intelligence (AI) has generated different perceptions and views regarding its usefulness in conducting educational assessment in Nigerian universities. This study determined whether academic integrity and innovative assessment concerns affect how university teachers utilize diverse AI tools in educational assessment. It also investigated if university teachers’ perception of using AI tools is likely to be associated with their tendency to personalize AI use at universities in the country. The study adopted inferential research design. 3,083 university teachers comprised the population in the study, out of which the sample of 322 participants who are professors, associate professors, and senior lecturers from government and privately-owned universities, were randomly selected for the study. The instrument was a 4-point scale questionnaire titled: “University Teachers’ Perception and Utilization of AI Questionnaire (UTPUAIQ).” The data were analyzed using independent t-test, Pearson Product Moment Correlation and Chi-Square statistics, as percentile analysis was explored using simple percentage statistical procedure. The results revealed that academic integrity concerns have an influence on how university teachers perceive AI use in assessment; that perception for innovative assessment concerns at university significantly affects how university teachers utilize diverse AI tools in educational assessment; and that university teachers’ perception of using AI tools is likely to be associated with their tendency to personalize AI use at universities. It was concluded that AI use in educational assessment is in itself not harmful but the potential risks involved must be mitigated as it is deployed for use for students’ assessment at universities in Nigeria. Hence, there is a need to ensure the ethical, inclusive and equitable use of AI in educational assessment at universities in the country.
Building a Better Future: Strategical Approaches in Tackling Poor Maintenance in Nigerian Public Secondary Schools Adeoye, Moses Adeleke; Shogbesan, Yusuf Olayinka; Jolaoye, Joshua Durotoye; Abdullateef Hassanat Jimoh
Mimbar Ilmu Vol. 29 No. 1 (2024): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mi.v29i1.70467

Abstract

Secondary schools have long been plagued by issues of poor maintenance, resulting in dilapidated infrastructure, limited resources and a subpar learning environment for students. To address this pressing issue, it is crucial to adopt strategic approaches that focus on improving maintenance practices and ensuring the long-term sustainability of these schools. This study aims to analyze the key challenges faced by Nigerian public secondary schools in terms of maintenance and presents innovative solutions that can help build a better future for education in the country. The research method uses Systematic Literature Review (SLR). A literature search was conducted through academic databases, such as PubMed, ERIC, and Google Scholar. It is essential to establish a comprehensive system for monitoring and evaluating the maintenance of public secondary schools. The government should allocate a significant portion of the education budget to address infrastructure maintenance and ensure that funds are properly utilized. This investment will help to improve the physical condition of schools and create a conducive learning environment for students. By involving the community in the maintenance process, a sense of ownership and responsibility can be fostered, leading to better maintenance practices.
Ethical Implications of AI and Machine Learning in Education: A Systematic Analysis Thelma, Chanda Chansa; Sain, Zohaib Hassan; Shogbesan, Yusuf Olayinka; Phiri, Edwin Vinandi; Akpan, Wisdom Matthew
International Journal of Instructional Technology Vol 3, No 1 (2024)
Publisher : Universitas Nurul Jadid Probolinggo, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/ijit.v3i1.9364

Abstract

Ethical considerations should be examined to determine how AI and ML affect education. Educational AI and ML bring privacy, security, and student data usage problems. This research examined AI and ML ethics in higher education at selected universities. Ethical issues AI and machine learning in education provide fairness, privacy, and openness. AI training data may perpetuate educational biases and impair student achievement. For complete comprehension, mixed methods research included quantitative and qualitative data. Four Lusaka district universities contributed 100 survey respondents. The initiative included four universities' department chairs, professors, and students. Structured open-ended interviews and questionnaires collected data. Quantitative questionnaire data was descriptively examined in SPSS and Excel, while semi-structured interview data was thematically evaluated. According to research, AI may reduce educational monitoring and learner engagement. Another concern is the digital gap and AI access. AI's sophisticated skills may be inaccessible to impoverished students, worsening educational inequity. The report advised training students and staff on data security and providing explicit permission procedures for data use in AI-driven educational systems, including strong encryption, anonymisation, and access limits.
Factors that Make it Easy to Overcome Obstacles to Curriculum Development in Vocational Institutions Sobari, Mochamad; Rusman, Rusman; Shogbesan, Yusuf Olayinka
Lembaran Ilmu Kependidikan Vol. 53 No. 1 (2024): Curriculum and Learning, Technology and Innovation in Education
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/lik.v53i1.2652

Abstract

The curriculum must keep up with the times to meet the evolving needs of society. Responsive curriculum development poses challenging problems for curriculum designers in vocational education and other higher professions, although as such there is little study on this topic. This research focuses on how the process of developing a responsive curriculum for vocational education, and other higher professions based on the results of a literature review methods with data sources consisting of a collection twenty-six articles that are putated with process of gathering and arranging information or data from multiple sources is referred to as data collection identifying six supporting components of the responsive curriculum development process: (1) Vision of Education and Learning,  (2) Continuous and iterative curriculum development process, (3) Collaboration, (4) involving all contributors, (5) The presence of favorable environmental factors and circumstances, and (6) Representatives of the institution. The importance of paying equal attention to each of these aspects is the main focus. By integrating these components, curriculum creators can design adaptable programs that are efficacious across the whole learning process. This strategy necessitates a shift in mentality and heightened exertion from all tiers of educational establishments, but ultimately results in a curriculum that is more comprehensive and adaptable.      
Co-Authors Abdullateef Hassanat Jimoh Adeoye, Moses Adeleke Akpan, Wisdom Matthew Ibrahim, Abdul-Wahab Iliyasu, Abdullahi Jolaoye, Joshua Durotoye Lukman, Shehu Adaramaja Phiri, Edwin Vinandi Rusman Rusman Sain, Zohaib Hassan Sobari, Mochamad Taura, Ali Abdullahi Thelma, Chanda Chansa