Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Assimilation: Indonesian Journal of Biology Education International Journal of Artificial Intelligence for Digital Marketing
Ahmed, Abiola Tawa
Unknown Affiliation
Economics, Econometrics & Finance Education Environmental Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perceived difficulty levels of basic concepts in biology by teachers in senior schools in Ogbomosho, Nigeria Alawonde, Oluseye Adegboye; Luwoye, Akindeyi; Ahmed, Abiola Tawa; Ahmed, Mulkah Adebisi; Abimbola, Ahmatullahi Folakemi
Assimilation: Indonesian Journal of Biology Education Vol 7, No 1 (2024): March 2024
Publisher : Department of Biology Education, Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/aijbe.v7i1.66464

Abstract

Over the years, many factors have been visible that lead to unimpressive performance in biology. One of the factors includes ineffectiveness and inefficiency of biology teachers which results from the difficulties faced with some biology concepts. The study investigated perceived difficulty levels of basic concepts in biology by teachers in senior schools in Ogbomosho, Oyo State. The study adopted a descriptive research of the survey type. The population for this study comprised all biology teachers in Ogbomosho. A simple random sampling technique was employed to select 262 respondents. The research instrument for this study was the Biology Teachers’ Perceptions Questionnaire on Difficult Concepts (BTPQDC). Three research questions were raised in the study. The research questions were analyzed using frequency count, percentage and cross-tabulation. The results showed that biology teachers perceived the majority of the basic concepts as not difficult. The concepts include the conservation of energy topics such as laws of thermodynamics, food chain, water cycle, micro and macro elements and holozoic nutrition Also, biology teachers perceived some reasons as the cause of difficulty in the basic concepts of biology. They include misconception of the concepts, insufficient subject-matter knowledge of the concepts, abstractness of the concepts, and complexity of the topic. 
CHALLENGES AND OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE INTEGRATION INTO NIGERIAN UNIVERSITY SYSTEM Luwoye, Akindeyi; Ahmed, Abiola Tawa; Yusuf, Olasunkanmi Ibrahim; Abdulraheem, Jimoh Akanbi
International Journal of Artificial Intelligence for Digital Marketing Vol. 1 No. 5 (2024): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v1i5.267

Abstract

The integration of Artificial Intelligence (AI) into education systems worldwide is rapidly transforming traditional learning environments. However, the adaptation of AI technologies in developing countries, such as Nigeria, presents unique challenges and opportunities. This study explores the multifaceted influence of AI on the Nigerian education sector, examining both the barriers to successful implementation and the potential benefits. Challenges identified include inadequate infrastructure, limited internet connectivity, insufficient funding, lack of skilled personnel, and concerns over data privacy and security. Despite these obstacles, AI has the potential to revolutionize Nigerian education through personalized learning, improved administrative efficiency, enhanced content delivery, and data-driven decision-making. Collaboration, skill development, and ethical considerations also emerge as critical factors in maximizing AI's potential in Nigerian higher education. The study concludes that there is necessity for strategic investments in infrastructure, training programs, and a robust regulatory framework to harness AI's benefits while addressing its challenges. The study also concludes with policy recommendations and a roadmap for fostering sustainable AI-driven educational advancements in Nigeria.
Co-Authors Abdulraheem, Jimoh Akanbi Abimbola, Ahmatullahi Folakemi Ahmed, Mulkah Adebisi Alawonde, Oluseye Adegboye Luwoye, Akindeyi Yusuf, Olasunkanmi Ibrahim