Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria

Ayeshung Rose Imoniri

doi:doi:10.11648/j.tecs.20251003.12

Research Article |

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Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria

Ayeshung Rose Imoniri^*

Published in Teacher Education and Curriculum Studies (Volume 10, Issue 3)

Received: 24 June 2025 Accepted: 22 July 2025 Published: 13 August 2025

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Abstract

Artificial Intelligence is transforming science education by providing innovative tools for personalized learning, automated assessments, and intelligent tutoring. This study explores how AI can enhance skills development and economic transformation in Nigeria by bridging Science Technology Engineering and Mathematics learning gaps, equipping students with critical thinking and digital literacy, and fostering workforce development and entrepreneurship. Using a desktop research methodology, the study reviews scholarly articles, and global case studies on AI integration in science education. Findings reveal that AI-driven learning enhances student engagement, problem-solving abilities, and career readiness in high-demand fields. However, some challenges hinder widespread of AI adoption in Nigeria. Comparisons with other countries, government investment, curriculum integration, and teacher training are essential for successful AI-driven education. To overcome these barriers, the study recommends increased government funding for AI infrastructure, AI-based curricula development, educator training programs, public-private partnerships to expand AI resources, and stronger regulatory frameworks for ethical AI use in education. The conclusion emphasizes that AI has the potential to revolutionize science education and drive Nigeria’s transition to a knowledge-based economy. However, addressing policy gaps, infrastructural deficits, and teacher readiness is critical for effective AI adoption. With strategic reforms and investments, Nigeria can leverage AI to improve scientific learning, technological innovation, and global competitiveness.

Published in	Teacher Education and Curriculum Studies (Volume 10, Issue 3)
DOI	10.11648/j.tecs.20251003.12
Page(s)	77-83
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Artificial Intelligence, Science Education, Skills Development, Economic Transformation

1. Introduction

Artificial Intelligence (AI) is reshaping education worldwide, offering personalized learning, automated assessments, and intelligent tutoring systems that enhance student engagement and comprehension

[7]

. AI refers to the ability of machines to perform tasks that typically require human intelligence, such as problem-solving, learning, and decision-making. In education, AI enables automated grading, personalized learning experiences, and interactive simulations that improve student engagement and academic performance.

The field of science education particularly benefits from AI-driven innovations such as virtual laboratories, AI-powered simulations, and adaptive learning systems. These technologies enable students to experiment, visualize complex scientific concepts, and receive real-time feedback, thereby improving learning outcomes

[29]

. Science education involves the systematic teaching and learning of scientific concepts, theories, and practical applications. AI enhances science education by providing hands-on virtual experiments, real-time feedback, and AI-driven research assistance.

In developing countries like Nigeria, science education plays a vital role in technological advancement and workforce development. However, the quality of science education in Nigeria faces challenges such as poor infrastructure, outdated curricula, and a lack of qualified educators

[28, 23]

. Many Nigerian students have limited exposure to modern scientific tools, laboratory experiences, and digital learning resources, which restrict their ability to develop critical thinking and problem-solving skills—key competencies needed for economic transformation. The integration of Artificial Intelligence (AI) in science education is a multidimensional process that involves the use of AI-powered learning tools, personalized education systems, and intelligent tutoring technologies to enhance skills development and drive economic transformation.

Skills development refers to the acquisition of competencies such as problem-solving, analytical reasoning, and technical expertise

[19, 28]

. AI-based science education fosters critical thinking, coding skills, and data analysis capabilities, which are essential for Nigeria’s transition to a technology-driven economy. Globally, AI integration in education is seen as a game changer in bridging learning gaps and developing Science Technology Engineering and Mathematics (STEM) competencies. Countries such as China and the United States have invested heavily in AI-based education platforms, robotic tutors, and data-driven student assessments to improve science education and workforce preparedness. In contrast, Nigeria's adoption of AI-driven science education remains limited, despite its potential to enhance skills acquisition and boost innovation-driven economic growth.

AI can facilitate skills development in areas such as automation, data science, and digital manufacturing, which are essential for Nigeria’s economic diversification beyond oil dependency

[13]

. Economic transformation entails the shift from a resource-based economy to a knowledge-driven and innovation-led economy. AI-trained graduates contribute to economic transformation by filling the skills gap in emerging fields such as robotics, AI development, and computational sciences.

This paper, therefore, seeks to explore how AI can be harnessed in science education in Nigeria to foster skills development and drive economic transformation. It examines the current state of science education, AI-driven learning models, implementation challenges, and policy recommendations to maximize AI’s potential in Nigeria’s education sector. AI applications such as virtual laboratories, adaptive assessments, and AI-based curriculum design are designed to improve learning efficiency, develop critical thinking skills, and prepare students for an AI-driven economy

[23]

2. Challenges of Implementing AI in Science Education in Nigeria

Despite the immense potential of Artificial Intelligence (AI) in science education, its implementation in Nigeria faces significant challenges. These challenges stem from technological, infrastructural, policy, and socioeconomic barriers, which hinder the effective adoption of AI-driven educational systems.

1. Technological Barriers

Limited Access to Digital Infrastructure: AI-based education relies heavily on stable internet connectivity, cloud computing, and high-speed processors, which are not widely available in Nigeria. Many schools, especially in rural areas, lack basic ICT infrastructure, making it difficult to implement AI-powered learning tools

[22]

Lack of AI-Integrated Science Labs: Unlike developed nations where AI-driven virtual laboratories are used for scientific experiments, Nigeria still relies on traditional learning models with limited access to digital science tools. The absence of AI-assisted research facilities and simulation-based learning environments affects students' ability to develop hands-on scientific skills

[20]

2. Policy and Regulatory Challenges

Absence of a National AI Education Policy: Many developed countries have dedicated policies for AI adoption in education, but Nigeria lacks a structured AI education framework. There are no standardized guidelines for AI curriculum development, making its integration into science education inconsistent

[11]

Ethical and Data Privacy Concerns: AI-powered education systems collect and analyze large amounts of student data. However, Nigeria does not have strong data protection laws to regulate how AI tools handle student information, raising concerns about privacy violations and data misuse

[26]

3. Socioeconomic and Cultural Barriers

High Cost of AI-Based Educational Tools: AI implementation in science education requires high financial investment in software, teacher training, and infrastructure. Due to budget constraints, many schools cannot afford AI-driven platforms, leading to inequality in access to AI-powered learning

[4]

Resistance to AI Adoption among Educators: Many Nigerian teachers are not trained in AI-based teaching methods and often view AI as a threat rather than an educational aid. Resistance to technological change and fear of job displacement have slowed the adoption of AI-assisted teaching methods in science education

[1]

3. Applications of AI in Science Education

Artificial Intelligence (AI) is transforming science education worldwide through various applications that enhance learning efficiency, student engagement, and scientific exploration. AI-driven technologies provide adaptive learning experiences, intelligent tutoring systems, and data-driven feedback mechanisms that improve knowledge retention and critical thinking skills

[10]

. Some key AI applications in science education include:

1. AI-Powered Virtual Laboratories and Simulations

Virtual laboratories powered by AI and machine learning algorithms allow students to conduct scientific experiments in a risk-free, cost-effective environment

[17, 30]

. These simulations provide interactive learning experiences that help students visualize complex scientific concepts, such as chemical reactions, physics equations, and biological processes. Countries like China and Germany have incorporated AI-powered virtual labs into their national science curricula to enhance STEM education accessibility.

2. Intelligent Tutoring Systems (ITS)

AI-driven intelligent tutoring systems (ITS) provide personalized learning pathways by assessing students’ strengths and weaknesses in real time. These systems use machine learning algorithms to tailor instructional content and provide instant feedback to students

[18]

. In the United States, platforms like ALEKS and Carnegie Learning employ ITS to improve science and mathematics education outcomes.

3. AI-Based Assessment and Feedback Mechanisms

AI is revolutionizing student assessments by providing automated grading, real-time feedback, and adaptive testing models. This reduces the burden on teachers while ensuring fair and unbiased evaluation

[16]

. In Finland and Singapore, AI-based assessments are used to analyze students’ problem-solving skills in science-related subjects, helping educators adjust their teaching strategies accordingly.

4. AI in Curriculum Design and Educational Policy

AI-driven data analytics assist educational institutions in designing science curricula based on learning patterns and student performance metrics. By analyzing large datasets, AI helps policymakers identify gaps in science education and propose curriculum reforms

[8]

. Countries such as South Korea and Japan use AI to develop STEM-based learning policies that align with industry demands.

4. Global Best Practices in AI-Driven Science Education

Several countries have successfully implemented AI-driven education models that Nigeria can learn from.

China: AI-Integrated STEM Education

China has invested significantly in AI-driven science education, incorporating AI tutors, virtual reality simulations, and robotic teaching assistants in schools

[29]

. The Chinese government has also introduced AI coding programs in primary and secondary schools to enhance STEM competencies.

United States: AI in Higher Education

In the United States, universities such as MIT and Stanford leverage AI in science education through automated laboratories, AI-based research tools, and data-driven learning analytics

[17]

. AI-powered research tools assist students in conducting complex experiments and analyzing large datasets in fields like genomics and physics.

Finland: AI-Driven Personalized Learning

Finland is known for its student-centered education model, where AI-driven adaptive learning systems are widely used. AI tailors lesson plans based on individual student needs, ensuring a personalized learning experience

[18]

Lessons for Nigeria

1) Develop AI-powered STEM curricula aligned with economic and industrial needs.

2) Invest in AI-based science labs and virtual simulations to enhance practical learning.

3) Adopt AI-driven tutoring systems to provide personalized learning pathways.

4) Train educators in AI-based pedagogy to improve teaching efficiency.

Science education in Nigeria plays a crucial role in technological advancement, workforce development, and economic progress. However, the sector has faced numerous challenges, including outdated curricula, inadequate infrastructure, and a lack of trained educators

[12, 15]

. Despite government interventions, science education in secondary schools and tertiary institutions remains underfunded and less prioritized, affecting students’ ability to gain practical knowledge and skills in STEM (Science, Technology, Engineering, and Mathematics) fields.

In recent years, there has been a growing push for AI integration in Nigerian education to improve teaching methodologies and student performance. AI-based chatbots, virtual simulations, and adaptive learning platforms are gradually being introduced, but adoption remains slow due to technological barriers, lack of investment, and resistance from educators

[25]

5. Artificial Intelligent (AI) in Science Education for Enhanced Skills Development

Artificial Intelligence (AI) is revolutionizing skills acquisition in science education by providing adaptive learning systems, real-time feedback, and AI-driven research assistance. AI technologies such as machine learning algorithms, virtual labs, and robotic tutors are enhancing students’ ability to solve complex problems, conduct scientific experiments, and develop computational thinking

[25]

. In Nigeria, where STEM education faces significant challenges, AI-powered tools can bridge the knowledge gap and equip students with industry-relevant skills. Some of the essential skills AI fosters include:

1. Critical Thinking and Problem-Solving Skills

AI-driven educational platforms encourage students to think critically, analyze data, and make informed decisions. AI-powered simulations and virtual experiments allow students to test hypotheses, observe outcomes, and refine their approaches

[6]

. These skills are crucial for scientific research, innovation, and technological advancements.

2. Automation and Digital Literacy Skills

With industries becoming more reliant on automation and AI-driven processes, digital literacy is a key competency for the future workforce. AI-powered coding assistants and virtual labs help students develop programming, robotics, and data analytics skills

[27]

. Integrating AI-based training into Nigeria’s science education system will ensure that graduates meet global industry standards.

3. Personalized Learning and Adaptive Education

AI enables personalized learning experiences by analyzing students’ strengths and weaknesses and tailoring content accordingly. Adaptive learning platforms adjust teaching strategies to match students' learning paces, ensuring better comprehension and retention of scientific concepts

[24]

. Such innovations can help address the disparities in Nigeria’s education system, particularly in underprivileged regions.

6. Artificial Intelligent (AI) and Economic Transformation in Nigeria

Artificial Intelligence (AI) has the potential to drive economic transformation in Nigeria by enhancing STEM education, equipping students with future-ready skills, and fostering innovation. AI-driven education is particularly crucial in a country where economic growth is hindered by low technological adoption, high unemployment rates, and a skills mismatch between graduates and industry demands

[2]

. By integrating AI into science education, Nigeria can cultivate a workforce skilled in data science, automation, robotics, and AI applications, thereby strengthening its digital economy.

Some of the major economic benefits of AI in science education include:

1) AI-driven workforce development: The Nigerian labor market increasingly demands AI-skilled professionals, especially in sectors such as healthcare, agriculture, finance, and manufacturing. AI-powered education platforms can equip students with practical, in-demand technical skills such as programming, machine learning, and robotics

[7]

. This will reduce the reliance on foreign expertise, promote indigenous technological innovation, and create a globally competitive workforce.

2) AI’s role in innovation and research: AI integration in science education fosters a culture of research and innovation. Universities and research institutions can leverage AI-powered tools for data analysis, predictive modeling, and scientific discovery

[3]

. In countries such as China and the United States, AI-driven research has led to breakthroughs in medicine, engineering, and environmental sciences—a model Nigeria can adopt to accelerate its own technological advancements.

7. Impact of AI-Trained Workforce on Economic Growth

1. Bridging the skills gap for the digital economy: Nigeria’s current education system produces graduates who often lack the digital competencies required for today’s job market. AI-based adaptive learning systems and intelligent tutoring platforms can bridge this gap by offering personalized learning pathways that align with industry needs

[21]

. If properly implemented, AI-driven education can reduce youth unemployment and underemployment, positioning Nigeria as a regional leader in digital innovation.

2. AI-powered entrepreneurship and job creation: AI is a catalyst for entrepreneurship by providing students and professionals with the tools to develop AI-based solutions for business and industry. Startups in fintech, agritech, and edtech are increasingly utilizing AI for predictive analytics, automated processes, and customer engagement

[3]

. Nigeria can boost its startup ecosystem by investing in AI-based entrepreneurial programs within universities and providing funding for AI-driven innovations.

8. Case Studies of AI-Driven Economic Growth

8.1. Case Study 1: China’s AI Investment in Education and Economic Growth

China has invested heavily in AI-powered education through AI-enabled teaching assistants, smart classrooms, and digital learning platforms. This has resulted in a highly skilled workforce that has contributed to China’s economic dominance in AI development and high-tech industries

[9]

. Nigeria can replicate this model by prioritizing AI in its education and economic policies.

8.2. Case Study 2: AI in Fintech and Economic Growth in Nigeria

Nigeria’s fintech sector, which includes startups such as Flutterwave and Paystack, has leveraged AI-powered financial solutions to enhance digital banking, fraud detection, and customer service automation. This has created thousands of jobs and positioned Nigeria as a fintech hub in Africa

[2]

. Expanding AI training in science education will further support AI-driven entrepreneurship and innovation in other economic sectors.

Several AI-powered initiatives have demonstrated success in enhancing skills acquisition and can serve as models for Nigeria's science education system:

1. AI-Based STEM Learning Initiatives in the United States

The U.S. has implemented AI-powered educational platforms such as Carnegie Learning and ALEKS, which use machine learning to personalize science and math education

[27]

. These tools improve student engagement and ensure a deeper understanding of STEM subjects.

2. AI in Science Education in China

China has invested in AI-powered virtual laboratories that allow students to conduct complex scientific experiments without the need for physical lab infrastructure

[5]

. These platforms help students develop practical scientific skills while reducing costs associated with laboratory maintenance.

3. AI-Driven Teacher Training in Nigeria

Nigeria is beginning to explore AI-based teacher training programs to help educators integrate AI tools into their teaching practices. For example, the AI in Education Initiative in Lagos provides teachers with AI-driven instructional materials and virtual training sessions to enhance their digital literacy

[14]

9. Conclusion

The integration of Artificial Intelligence (AI) in science education presents a transformative opportunity for skills development and economic transformation in Nigeria. AI-driven educational tools, such as intelligent tutoring systems, virtual labs, and personalized learning platforms, have demonstrated significant potential in enhancing science education, fostering innovation, and preparing students for the digital economy. However, the successful adoption of AI in Nigeria’s educational system is hindered by technological, infrastructural, policy, and socioeconomic challenges.

This paper has examined the current state of science education in Nigeria, highlighting key barriers such as poor infrastructure, limited digital resources, and a lack of AI-literate educators. It has also explored how AI can enhance skills development, particularly in STEM-related fields, by fostering critical thinking, digital literacy, and hands-on scientific research. Furthermore, AI has been identified as a catalyst for economic transformation, with potential benefits in workforce development, innovation, and entrepreneurship.

For Nigeria to fully harness the benefits of AI in science education, this study recommends the following policy actions:

1) Increased government investment in AI-driven education.

2) Public-Private partnerships (PPPs) to expand AI resources in schools.

3) Integration of AI into the national curriculum at all levels of education.

4) Training programs for educators to enhance AI literacy and teaching methodologies.

5) Strong regulatory frameworks to guide ethical AI use and data privacy.

With the right policies, infrastructure, and strategic investments, Nigeria can position itself as a leader in AI-driven science education, ultimately driving economic transformation and global competitiveness.

10. Recommendations and Future Prospects

To effectively integrate Artificial Intelligence (AI) into science education in Nigeria, a strategic policy framework must be developed to address issues faced by AI integration in the Nigeria education system. The following recommendations if adopted will provide a roadmap for successful AI adoption in Nigeria’s education system.

i. Nigerian government should increase funding for AI-driven education by; providing fund for AI-education, AI-research in schools and provide learning AI-powered science learning hubs in secondary schools.

ii. There should be collaboration between government agencies, private technological companies, and international organizations is essential to; develop AI training programs for science students and teachers in schools.

iii. There should be clear policy guiding the use, monitoring of AI in order to protect users in the misuse of information obtained in the cause of learning.

With the right policy interventions and investments, AI will transform science education and workforce development in Nigeria. Some key future prospects include:

1) Expansion of AI-powered smart classrooms

2) AI-driven research and innovation hubs

3) AI in teacher training and professional development

4) AI-powered STEM workforce development

Author Contributions

Ayeshung Rose Imoniri is the sole author. The author read and approved the final manuscript.

Conflicts of Interest

The author declares no conflicts of interest.

References

[1]	Abiyev, R. H., & Ameen, Z. S. (2025). A hybrid univariate data preprocessing using overlapping flexible sliding window and DWT for rainfall prediction using deep learning ensemble techniques. Earth Science Informatics. Retrieved from https://link.springer.com/article/10.1007/s12145-024-01636-5
[2]	Abubakar, U., & Onasanya, S. A. (2025). Reimagining Edupreneurship with AI Technologies: Pathways to Modern Educational Excellence in Nigerian Tertiary Institutions. Ilorin Journal of Education. Retrieved from https://ije.unilorinedu.sch.ng/index.php/ije/article/view/252
[3]	Ahmed, S., & Meraj, M. (2024). The Role of AI-Driven Personalized e-Learning in Enhancing Economic Competitiveness: A Comparative Analysis of Developed and Developing Countries. European Conference on e-Learning. Retrieved from https://search.proquest.com/openview/d5e0e81c5660014ebcdd85ec785b0791/1?pq-origsite=gscholar&cbl=1796419
[4]	Aminu, E. F., & Ojerinde, O. A. (2024). Data lake system for essay-based questions: A scenario for the computer science curriculum. International Journal of Computer Science. Retrieved from https://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=23472227&AN=182173763
[5]	Babalola, V. T. (2025). Relationship Between On-site Learning and Students' Mindfulness, Conceptual Understanding, and Academic Performance in Chemistry: A Focus on the Mole Concept. US-China Education Review. Retrieved from https://www.researchgate.net/publication/389429388
[6]	Bashir, A. U., Saifullahi, M., & Muktar, B. (2024). Innovative Science and Mathematics Pedagogy for Entrepreneurship, Economic Development, and AI-Based Learning. HYBRID CONFERENCE Proceedings. Retrieved from https://www.researchgate.net/publication/387897913
[7]	Chow, T. S., & To, K. (2025). Mindsets matter: A mediation analysis of the role of a technological growth mindset in generative artificial intelligence usage in higher education. Education Sciences, 15(3), 310. Retrieved from https://www.mdpi.com/2227-7102/15/3/310
[8]	Darıcı, S. (2025). Artificial Intelligence and Medicine 2014-2024: Bibliometric Analysis and Global Impacts. Journal of Intelligent Decision Making and Information Science. Retrieved from https://jidmis.org/index.php/jidmis/article/view/13525
[9]	David, S. (2025). Artificial Intelligence and Curriculum Development in Business Education for the Future in Nigeria. AI and Curriculum Development for the Future. Retrieved from http://eprints.gouni.edu.ng/4428/1/Volume%202-AI%20and%20Quality%20Higher%20Education%20Handbook-January%202025.pdf#page=286
[10]	Ech-Chorfi, S., & Zemmouri, E. (2025). Towards an extensible pipeline for biomedical knowledge graph construction from scientific papers. International Journal of Computer Science, 52(3), 10. Retrieved from https://www.iaeng.org/IJCS/issues_v52/issue_3/IJCS_52_3_10.pdf
[11]	Edam-Agbor, I. B., Orim, F. S., & Ofem, U. J. (2025). Librarians' awareness, acceptability, and application of artificial intelligence in academic research libraries. Social Sciences & Humanities Open. Retrieved from https://www.sciencedirect.com/science/article/pii/S2590291125000609
[12]	Ekukinam, T., Udosen, I. N., & Udoh, N. I. (2024). The difference in academic performance of senior secondary school biology students exposed to chatbot AI or expository method based on their gender. Global Academic Star. Retrieved from https://www.globalacademicstar.com/download/article/the-difference-in-academic-performance-of-senior-secondary-school-biology-students-exposed-to-chatbot-ai-or-expository-method-based-on-their-gender-63580.pdf
[13]	Grossmann, I. (2025). Using data science to improve patient care: Rethinking clinician responsibility. BMJ Quality & Safety. Retrieved from https://qualitysafety.bmj.com/content/early/2025/03/02/bmjqs-2025-018514
[14]	Ibrahim, H. (2025). Revolutionizing Future Education: AI-Driven Curriculum Development in Nigeria. AI and Curriculum Development for the Future. Retrieved from http://eprints.gouni.edu.ng/4428/1
[15]	Ibrahim, H. A., Abdulmalik, M. O., & Bello, A. I. (2024). Exploring the prospect of enhancing cancer radiotherapy in hospitals and healthcare centers in Nigeria through artificial intelligence: A promising frontier. Journal of Applied Sciences and Environmental Management. Retrieved from https://www.ajol.info/index.php/jasem/article/view/269262
[16]	Jaiswal, G. (2025). Innovative Teaching Practices for Environmental Education in Fashion Design. Journal of Science Innovations and Nature of Earth. Retrieved from https://jsiane.com/index.php/files/article/view/300
[17]	Jantakun, T., Jantakun, K., & Jantakoon, T. (2025). Bibliometric Analysis of Artificial Intelligence in STEM Education. Higher Education Studies, 15(1), 69. Retrieved from https://ideas.repec.org/a/ibn/hesjnl/v15y2025i1p69.html
[18]	Jia, Z., Zhao, Y., Mu, X., Liu, D., Wang, Z., Yao, J., & Yang, X. (2025). Intelligent deep learning and keypoint tracking-based detection of lameness in dairy cows. Veterinary Sciences, 12(3), 218. Retrieved from https://www.mdpi.com/2306-7381/12/3/218
[19]	Krist, C. (2025). Applying machine learning in science education. Springer Books. Retrieved from https://books.google.com/books?hl=en&id=rw1LEQAAQBAJ&oi=fnd&pg=PA339
[20]	Nnaemeka, F., & Ogunbadejo, I. (2024). Awareness, knowledge, and perception of ChatGPT among undergraduates of Nnamdi Azikiwe University, Awka, Anambra State, Nigeria. Journal of Research and Scientific Innovations. Retrieved from https://www.researchgate.net/profile/Frank-Nnaemeka/publication/379629773_Awareness_Knowledge_and_Perception_of_Chat-GPT_among_Undergraduates
[21]	Nwadike, N. I. (2025). Leadership Strategies for Artificial Intelligence-Driven Entrepreneurship Education: Challenges, Opportunities, and Best Practices for Student Self-Reliance in Rivers State, Nigeria. International Journal of Educational Management. Retrieved from https://ijedm.com/index.php/ijedm/article/view/61
[22]	Nwaokugha, D. O., & Abiakwu, O. F. (2024). Prospects of using artificial intelligence in teaching and learning in educational institutions in Nigeria. International Journal of Social Sciences and Educational Research. Retrieved from https://www.seahipublications.org/wp-content/uploads/2024/10/IJISSER-D-20-2024-1.pdf
[23]	Oyeniyi, O. D. (2024). Adopting the Renaissance of Digital Technologies in Religious Studies in Nigerian Federal Universities. Lead City Journal of Religions and Intercultural Communication. Retrieved from https://www.journals.lcu.edu.ng/index.php/LCJRIC/article/download/1111/848
[24]	Udoh, N. I. (2024). School Location and School Type as Determinants of Academic Performance of Senior Secondary School Biology Students Exposed to Chatbot AI or Expository Method. Global Academic Star. Retrieved from https://www.globalacademicstar.com/download/article
[25]	Udosen, I. N. (2024). The role of AI-based education in Nigeria’s learning ecosystem. Global Academic Star. Retrieved from https://www.globalacademicstar.com/download/article/the-difference-in-academic-performance-of-senior-secondary-school-biology-students-exposed-to-chatbot-ai-or-expository-method-based-on-their-gender.pdf
[26]	Umoh, E. (2024). The impact of artificial intelligence on public administration in the public sector: Opportunities and challenges. SSRN Electronic Journal. Retrieved from https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=5068084
[27]	Wagner, L. (2025). Frontiers of Artificial Intelligence Development and Employment. ResearchGate. Retrieved from https://www.researchgate.net/publication/387737548
[28]	Wulanda, M. N., & Agnesa, T. (2025). Pelatihan penggunaan teknologi artificial intelligence untuk meningkatkan kemampuan pedagogik guru. Jurnal Pengabdian Pendidikan Matematika, 5(2). Retrieved from https://www.ejournal.ummuba.ac.id/index.php/JPPM/article/view/2693
[29]	Xhako, D., Hoxhaj, S., Hyka, N., & Spahiu, E. (2025). Integrating AI applications into university STEM study programs using Python. International Journal of Research and Scientific Innovation, 8(1), 2374–2384. Retrieved from https://ideas.repec.org/a/aac/ijirss/v8y2025i1p2374-2384id4995.html
[30]	Zuo, S., & Liu, B. (2025). Optimization design of concrete mix proportion based on support vector machine regression and enhanced genetic algorithm. Discover Applied Sciences. Retrieved from https://link.springer.com/article/10.1007/s42452-025-06603-3

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Imoniri, A. R. (2025). Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria. Teacher Education and Curriculum Studies, 10(3), 77-83. https://doi.org/10.11648/j.tecs.20251003.12

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Imoniri, A. R. Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria. Teach. Educ. Curric. Stud. 2025, 10(3), 77-83. doi: 10.11648/j.tecs.20251003.12

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Imoniri AR. Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria. Teach Educ Curric Stud. 2025;10(3):77-83. doi: 10.11648/j.tecs.20251003.12

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@article{10.11648/j.tecs.20251003.12,
  author = {Ayeshung Rose Imoniri},
  title = {Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria
},
  journal = {Teacher Education and Curriculum Studies},
  volume = {10},
  number = {3},
  pages = {77-83},
  doi = {10.11648/j.tecs.20251003.12},
  url = {https://doi.org/10.11648/j.tecs.20251003.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.tecs.20251003.12},
  abstract = {Artificial Intelligence is transforming science education by providing innovative tools for personalized learning, automated assessments, and intelligent tutoring. This study explores how AI can enhance skills development and economic transformation in Nigeria by bridging Science Technology Engineering and Mathematics learning gaps, equipping students with critical thinking and digital literacy, and fostering workforce development and entrepreneurship. Using a desktop research methodology, the study reviews scholarly articles, and global case studies on AI integration in science education. Findings reveal that AI-driven learning enhances student engagement, problem-solving abilities, and career readiness in high-demand fields. However, some challenges hinder widespread of AI adoption in Nigeria. Comparisons with other countries, government investment, curriculum integration, and teacher training are essential for successful AI-driven education. To overcome these barriers, the study recommends increased government funding for AI infrastructure, AI-based curricula development, educator training programs, public-private partnerships to expand AI resources, and stronger regulatory frameworks for ethical AI use in education. The conclusion emphasizes that AI has the potential to revolutionize science education and drive Nigeria’s transition to a knowledge-based economy. However, addressing policy gaps, infrastructural deficits, and teacher readiness is critical for effective AI adoption. With strategic reforms and investments, Nigeria can leverage AI to improve scientific learning, technological innovation, and global competitiveness.},
 year = {2025}
}

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EP  - 83
PB  - Science Publishing Group
SN  - 2575-4971
UR  - https://doi.org/10.11648/j.tecs.20251003.12
AB  - Artificial Intelligence is transforming science education by providing innovative tools for personalized learning, automated assessments, and intelligent tutoring. This study explores how AI can enhance skills development and economic transformation in Nigeria by bridging Science Technology Engineering and Mathematics learning gaps, equipping students with critical thinking and digital literacy, and fostering workforce development and entrepreneurship. Using a desktop research methodology, the study reviews scholarly articles, and global case studies on AI integration in science education. Findings reveal that AI-driven learning enhances student engagement, problem-solving abilities, and career readiness in high-demand fields. However, some challenges hinder widespread of AI adoption in Nigeria. Comparisons with other countries, government investment, curriculum integration, and teacher training are essential for successful AI-driven education. To overcome these barriers, the study recommends increased government funding for AI infrastructure, AI-based curricula development, educator training programs, public-private partnerships to expand AI resources, and stronger regulatory frameworks for ethical AI use in education. The conclusion emphasizes that AI has the potential to revolutionize science education and drive Nigeria’s transition to a knowledge-based economy. However, addressing policy gaps, infrastructural deficits, and teacher readiness is critical for effective AI adoption. With strategic reforms and investments, Nigeria can leverage AI to improve scientific learning, technological innovation, and global competitiveness.
VL  - 10
IS  - 3
ER  -

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Ayeshung Rose Imoniri

Department of Curriculum & Instructional Technology, University of Cross River State, Calabar, Nigeria

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http://orcid.org/0009-0009-3368-0632

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Imoniri, A. R. (2025). Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria. Teacher Education and Curriculum Studies, 10(3), 77-83. https://doi.org/10.11648/j.tecs.20251003.12

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ACS Style

Imoniri, A. R. Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria. Teach. Educ. Curric. Stud. 2025, 10(3), 77-83. doi: 10.11648/j.tecs.20251003.12

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AMA Style

Imoniri AR. Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria. Teach Educ Curric Stud. 2025;10(3):77-83. doi: 10.11648/j.tecs.20251003.12

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@article{10.11648/j.tecs.20251003.12,
  author = {Ayeshung Rose Imoniri},
  title = {Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria
},
  journal = {Teacher Education and Curriculum Studies},
  volume = {10},
  number = {3},
  pages = {77-83},
  doi = {10.11648/j.tecs.20251003.12},
  url = {https://doi.org/10.11648/j.tecs.20251003.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.tecs.20251003.12},
  abstract = {Artificial Intelligence is transforming science education by providing innovative tools for personalized learning, automated assessments, and intelligent tutoring. This study explores how AI can enhance skills development and economic transformation in Nigeria by bridging Science Technology Engineering and Mathematics learning gaps, equipping students with critical thinking and digital literacy, and fostering workforce development and entrepreneurship. Using a desktop research methodology, the study reviews scholarly articles, and global case studies on AI integration in science education. Findings reveal that AI-driven learning enhances student engagement, problem-solving abilities, and career readiness in high-demand fields. However, some challenges hinder widespread of AI adoption in Nigeria. Comparisons with other countries, government investment, curriculum integration, and teacher training are essential for successful AI-driven education. To overcome these barriers, the study recommends increased government funding for AI infrastructure, AI-based curricula development, educator training programs, public-private partnerships to expand AI resources, and stronger regulatory frameworks for ethical AI use in education. The conclusion emphasizes that AI has the potential to revolutionize science education and drive Nigeria’s transition to a knowledge-based economy. However, addressing policy gaps, infrastructural deficits, and teacher readiness is critical for effective AI adoption. With strategic reforms and investments, Nigeria can leverage AI to improve scientific learning, technological innovation, and global competitiveness.},
 year = {2025}
}

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TY  - JOUR
T1  - Harnessing Artificial Intelligence in Science Education for Skills Development and Economic Transformation in Nigeria

AU  - Ayeshung Rose Imoniri
Y1  - 2025/08/13
PY  - 2025
N1  - https://doi.org/10.11648/j.tecs.20251003.12
DO  - 10.11648/j.tecs.20251003.12
T2  - Teacher Education and Curriculum Studies
JF  - Teacher Education and Curriculum Studies
JO  - Teacher Education and Curriculum Studies
SP  - 77
EP  - 83
PB  - Science Publishing Group
SN  - 2575-4971
UR  - https://doi.org/10.11648/j.tecs.20251003.12
AB  - Artificial Intelligence is transforming science education by providing innovative tools for personalized learning, automated assessments, and intelligent tutoring. This study explores how AI can enhance skills development and economic transformation in Nigeria by bridging Science Technology Engineering and Mathematics learning gaps, equipping students with critical thinking and digital literacy, and fostering workforce development and entrepreneurship. Using a desktop research methodology, the study reviews scholarly articles, and global case studies on AI integration in science education. Findings reveal that AI-driven learning enhances student engagement, problem-solving abilities, and career readiness in high-demand fields. However, some challenges hinder widespread of AI adoption in Nigeria. Comparisons with other countries, government investment, curriculum integration, and teacher training are essential for successful AI-driven education. To overcome these barriers, the study recommends increased government funding for AI infrastructure, AI-based curricula development, educator training programs, public-private partnerships to expand AI resources, and stronger regulatory frameworks for ethical AI use in education. The conclusion emphasizes that AI has the potential to revolutionize science education and drive Nigeria’s transition to a knowledge-based economy. However, addressing policy gaps, infrastructural deficits, and teacher readiness is critical for effective AI adoption. With strategic reforms and investments, Nigeria can leverage AI to improve scientific learning, technological innovation, and global competitiveness.
VL  - 10
IS  - 3
ER  -

Copy | Download