Articles | Journal of Studies in Science and Mathematics Education

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Research Article DOI: 10.67203/jossme.2026.64ahf729

Gender-Stratified and Interaction Effects of Teaching Method on Senior Secondary Students' Acquisition of Communicating Skills in Biology

Festus Osasumwen Idiaghe^*, Esther Ngozi Odafe

This study tested whether the ABI > GI > TM effectiveness ordering reported for a pooled sample of 127 senior secondary Biology students (Idiaghe & Odafe, 2026a) replicates for male and female students separately, and whether teaching method and gender interact on posttest communicating-skills scores. A quasi-experimental pretest-posttest design was used with students in Egor Local Government Area...

Sep, 2026 pp. 57 – 63 25 views 7 downloads

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Research Article DOI: 10.67203/jossme.2026.jmtc6u1p

Beyond the Aggregate: A Strand-by-Strand Professional Development Needs Analysis for Mathematical Modeling in Nigeria's Further Mathematics Curriculum

Esther Ngozi Odafe^*, Festus Osasumwen Idiaghe

Knowing that teachers need more training is of limited practical use to curriculum planners unless it is known which specific content demands the most urgent attention, and why. This paper re-analyses teacher training-need data originally collected by Odafe (2017) from a survey of 40 Further Mathematics teachers in Edo South Senatorial District, Nigeria, moving beyond an aggregate summary to an ex...

Sep, 2026 pp. 64 – 70 57 views 14 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 62 views 14 downloads

14

Research Article DOI: 10.67203/jossme.2026.k14d7u10

Impact of Inducto-Deductive Approach on Academic Performance in Arithmetic Progression among Senior Secondary School Students in Zaria Metropolis, Kaduna State, Nigeria

Bello Shehu Aliyu^*, Abubakar Jamilu Aliyu, Zainab ILIYASU

This study investigated the effect of the inducto-deductive approach on students’ academic performance in Arithmetic Progression in Zaria Metropolis. The study was guided by two objectives and two corresponding research questions. A pretest–posttest non-equivalent control-group quasi-experimental design was adopted. The population comprised 4,021 secondary school students in Zaria Metropolis. Two ...

Oct, 2026 pp. 71 – 83 35 views 14 downloads

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Research Article DOI: 10.67203/jossme.2026.nb61ql5n

From BMAS to CCMAS: Assessing Curriculum Reforms in Mathematics Education for AI Competence and 21st-Century Skills Development

Bello Shehu Aliyu^*, Umar Aminu Ginga, Janet Funke Jesulowo

This study investigated the evidence of Artificial Intelligence (AI) related content and 21st-century skills in the Benchmark Minimum Academic Standard (BMAS) and Core Curriculum Minimum Academic Standard (CCMAS). Two research questions were raised and answered in this research. The research adopted a qualitative content analysis design. This was done through the use of an adapted instrument. The ...

Aug, 2026 pp. 73–82 59 views 17 downloads

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Research Article DOI: 10.67203/jossme.2026.1vdcezi2

Effect of Process-Oriented Guided Inquiry Learning on Metacognitive Skills and Performance in Geometry among Secondary Students in Kaduna State, Nigeria

Emmanuel Yohanna^*, Yusuf Feyisara Zakariya, Aliyu Suleiman Aliyu

This study examined the effect of Process-Oriented Guided Inquiry Learning (POGIL) on metacognitive skills and performance in geometry among secondary school students in Kaduna State, Nigeria. A quasi-experimental design was employed, involving 131 SS2 students from two public senior secondary schools in Zaria Educational Zone. The experimental group (n=62) were taught geometry using POGIL, while ...

Oct, 2026 pp. 80–90 39 views 11 downloads

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Research Article DOI: 10.67203/jossme.2026.ewz1t3t0

The Impact of Jigsaw IV Teaching Strategy on Polytechnic Students’ Performance and Attitude towards Trigonometry in Kebbi State, Nigeria

Mukhtar Muhammad Sani^*, Muhammad Sani Abdurrahman

This study investigates the impact of Jigsaw IV teaching strategy on polytechnic students’ performance and attitude towards trigonometry in Kebbi state, Nigeria. Two research objectives, corresponding research questions and hypotheses guided this study. A pretest-posttest quasi-experimental design was employed involving 169 students as the population of the study where 56 National Diploma II (ND I...

Aug, 2026 pp. 83–91 45 views 13 downloads

18

Research Article DOI: 10.67203/jossme.2026.t4h6t2yb

Psychometric Properties of Instruments for Assessing Teachers' Knowledge, Beliefs, Interest and Self-Efficacy in Mathematics among Pre-service Teachers in North-West Nigeria

Emmanuel Yohanna^*, Yusuf Feyisara Zakariya, Muhammad Kabir Falalu, Umar Aminu Ginga

This paper reports the development and psychometric validation of four instruments designed to assess pre-service mathematics teachers' content knowledge, beliefs, interest, and teaching self-efficacy in North-West Nigeria. The instruments include the Mathematics Teachers' Content Knowledge Test (MTCKT), Teachers' Mathematics Beliefs Inventory (TMBI), Interest in Mathematics Teaching (IMT) Questio...

Oct, 2026 pp. 91–102 38 views 12 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

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 81 views 22 downloads

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Research Article DOI: 10.67203/jossme.2026.qvv1o5tt

Effect of AI-enhanced Inquiry Based Learning on Scientific Reasoning Ability and Achievement in Photosynthesis among Basic Science Students in Zaria, Kaduna State

Hauwa'u Adamu Usman, Yakubu Amina^*, Nuru Ramatu Asabe

ABSTRACT The study investigated the effect of AI-Enhanced Inquiry-Based Learning on scientific reasoning ability and academic performance of Basic Science students in Photosynthesis concept in Zaria, Kaduna State, Nigeria. A quasi-experimental, pre-test-post-test design with non-equivalent control group was employed with two intact classes of 156 students from a population of 30,840 students from ...

Oct, 2026 pp. 103–112 26 views 6 downloads