Articles | Journal of Studies in Science and Mathematics Education

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Research Article DOI: 10.67203/jossme.2026.bwsd2sjn

Generative Artificial Intelligence in Biology Education: Examining Secondary School Teachers' Awareness, Perception, and Utilization through the Technology Acceptance Model in Kaduna State, Nigeria

Boor, M. C. H., Mohammed, S., Musa, Yusuf^*

Generative Artificial Intelligence (GenAI) is increasingly recognized for its potential to improve lesson planning and delivery; however, its integration into secondary school Biology teaching remains underexplored in Nigeria. Guided by the Technology Acceptance Model (TAM), this study investigated Biology teachers' awareness, perception, and utilization of GenAI tools in lesson planning and instr...

Aug, 2026 pp. 240–251 99 views 23 downloads

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Research Article DOI: 10.67203/jossme.2026.lq2bh31x

From Awareness to Adoption: Exploring ICT Integration among Secondary School Computer Science Teachers in Sabon Gari Area of Kaduna State, Nigeria

Muazu Ahmad Ahmad^*, Yusuf Feyisara Zakariya

This study examined information and communications technology (ICT) integration among secondary school computer science teachers in Sabon Gari Local Government area, Kaduna State, Nigeria, focusing on the transition from awareness to actual adoption of ICT in instructional practices. Guided by three research questions, the study examined teachers’ experiences of ICT resource availability and utili...

Aug, 2026 pp. 16–27 82 views 23 downloads

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Research Article DOI: 10.67203/jossme.2026.qm3unhhb

Relationships between Mindsets and Attitudes toward Mathematics among Pre-Service Mathematics Teachers in Kaduna State, Nigeria

Kazaik Benjamin Danlami, Babatunde Joseph Adeniran^*, Yusuf Feyisara Zakariya, Ramatu Ematum Umahaba, Ibrahim Omeiza Idris

This study examined the relationships among fixed and growth mindsets with pre-service mathematics teachers’ attitudes toward mathematics in Kaduna State, Nigeria. Specifically, it investigated how these mindsets relate to enjoyment and perceived value of mathematics and whether these relationships differ by sex. A cross-sectional survey design was employed involving 204 pre-service mathematics te...

Aug, 2026 pp. 40–54 76 views 31 downloads

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Research Article DOI: 10.67203/jossme.2026.wscl9goy

Advancing Inclusive Science Learning through Demonstration-Enriched Team–Pair–Solo Pedagogy: Differential Effects on AcademicPerformance among Varied-Ability Upper Basic Students

Abdullahi Adamu^*, Yusuf Feyisara Zakariya, Muhammad Kabir Falalu, Muhammad Umaru Saidu, Safiya Shafiu Muhammed

This study examined whether integrating demonstrations into Team-Pair-Solo instructional strategy could improve science academic performance among upper basic students with different ability levels compared with conventional instruction. The study was motivated by the persistent challenge of student unsatisfactory academic performance associated with conventional instructional approaches. 2 object...

Aug, 2026 pp. 1–12 75 views 47 downloads

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Research Article DOI: 10.67203/jossme.2026.nzalj84c

Guided Discovery and Students’ Attitudes toward Mathematics: Evidence from a Quasi-Experimental Study in Nigerian Secondary Schools

Istifanus Ayuba, Danladi Biong’ahu, Kazaik Benjamin Danlami^*

Students’ attitudes toward mathematics remain a persistent concern in mathematics education, particularly in contexts where teacher-centred instructional practices dominate. This study examined the effect of Guided Discovery Strategy (GDS) on students’ attitudes toward mathematics in Nigerian secondary schools. A nonrandomized control group pretest–posttest quasi-experimental design was employed. ...

Aug, 2026 pp. 28–39 74 views 24 downloads

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Research Article DOI: 10.67203/jossme.2026.szw46j1k

An Explainable Machine Learning Framework for Predicting Student Academic Outcomes in Higher Education

Mubashir Haruna^*, Abubakar Bello Bada, Ede Ifesinachi Chizzy, Abdulsalam Ibrahim Magawata, Abdullahi Usman Gulumbe

The increasing use of artificial intelligence (AI) in higher education has opened up new possibilities for enhancing student achievement through data-driven decision making and predictive analytics. Higher education institutions can identify students who are at risk of academic failure or dropout and undertake timely interventions to increase retention and graduation rates by using early predictio...

Aug, 2026 pp. 92–107 66 views 15 downloads

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Research Article DOI: 10.67203/jossme.2026.blvwzwrn

Effects of Artificial Intelligence Enriched Inquiry-Based Strategy on Performance in Chemistry among Secondary School Students in Zaria Metropolis, Kaduna, Nigeria

Muazu Ahmad Ahmad^*, Ramatu Ematum Umahaba, Yusuf Feyisara Zakariya, Muhammad Umaru Saidu

This study investigated the effects of ChatGPT enriched inquiry-based strategy (IBS+ChatGPT) on secondary school students’ performance in Chemistry. A quasi-experimental pretest–posttest group design was adapted. A sample of 103 (63 in experimental and 40 in control groups) secondary students were randomly selected from a population of 7,116 students across 17 public schools in Zaria. The experime...

Aug, 2026 pp. 179–190 62 views 24 downloads

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Research Article DOI: 10.67203/jossme.2026.l1csjtl8

Integrating Artificial Intelligence Literacy into Mathematics Teacher Education: an Integrative Conceptual Framework for AI-Supported Classroom Practice

Ishaku Akissani^*, Naziru Aminu, Samuel Olusanjo Shodubi

The rapid advancement of artificial intelligence (AI) is transforming mathematics education and creating new opportunities for enhancing teaching and learning. However, effective AI integration depends on teachers’ ability to use AI critically, ethically, and pedagogically. This conceptual paper examines the integration of AI literacy and AI tools into mathematics teacher education and classroom p...

Aug, 2026 pp. 158–167 60 views 13 downloads

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Research Article DOI: 10.67203/jossme.2026.jltz5iej

Developing 21st-Century Skills in Biology Education through Innovative Instructional Practices in Secondary Schools

S. Muhammad^*, S. Bello, Z. L. Gwandu

This study examines the role of innovative instructional practices in developing 21st-century skills in Biology education among secondary school students. Persistent underachievement in Biology, particularly in Nigeria, has been largely attributed to the continued reliance on traditional teacher-centered pedagogies that emphasize rote memorization rather than meaningful understanding and skill acq...

Aug, 2026 pp. 1–15 60 views 22 downloads

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Research Article DOI: 10.67203/jossme.2026.blbmyc3j

Prompt Engineering as a 21st Century Learning Competency: A Conceptual Framework for Science and Mathematics Education

Aishatu Abubakar^*

Artificial Intelligence (AI), particularly generative AI powered by Large Language Models (LLMs), is reshaping science and mathematics education. While prior studies have emphasized AI literacy, digital competence, and teacher preparedness, comparatively little attention has been given to the learner competencies required for effective interaction with AI through prompt engineering. This conceptua...

Aug, 2026 pp. 65–72 53 views 11 downloads