39 articles
31
Research Article DOI: 10.67203/jossme.2026.jlw826lp

Improving Attitudes Towards Calculus through Inquiry-Driven Collaborative Learning Model + ChatGPT among Preservice Mathematics Teachers: A Quasi-Experimental Study

Bashirat Kikelomo Hamza*, Yusuf Feyisara Zakariya, Yahaya Korau Kajuru, Muhammad Kabir Falalu

This study investigated the effect of Inquiry-Driven Collaborative Learning enriched with ChatGPT (IDCL+ChatGPT) on pre-service teachers’ attitudes toward calculus in Kaduna State, Nigeria. Anchored on Social Cognitive Theory, the study adopted a quasi-experimental pretest-posttest non-equivalent control group design. The population comprised 1,122 NCE II Mathematics students in public NCE-awardin...

Aug, 2026 pp. 318–331 16 views 3 downloads
32
Research Article DOI: 10.67203/jossme.2026.lt8u7rui

Perceived influence of Artificial Intelligence tools on academic engagement of undergraduate Science Education Students in Rev. Fr. Orshio Moses Adasu University, Makurdi

Joseph Olaiya Fatoki*, Samuel Okanche, Benedict Ojedor Onah

This study examined the perceived influence of Artificial Intelligence (AI) tools on the academic engagement of undergraduate Science Education students at Rev. Fr. Moses Orshio Adasu University, Makurdi. A descriptive survey research design was adopted for the study. Two research questions and two hypotheses guided the study. A sample of 120 undergraduate Science Education students selected from ...

Aug, 2026 pp. 332–339 2 views
33
Research Article DOI: 10.67203/jossme.2026.yxd37d5m

Effects of a Contextual Approach Mediated by Digital Technology and Automation Literacy on Biology Achievement among Secondary School Students with Low, Medium and High-Ability Levels in Kaduna State, Nigeria

Hadiza Yakubu Hassan*, Isah Alhaji Usman, Amina Salihu Umar

This study investigated the effect of the Contextual Approach on Biology achievement using digital technology and automation literacy among secondary school Biology students of varied ability levels in Kaduna State, Nigeria. As artificial intelligence and automation reshape the global workforce, digital literacy and automation skills are increasingly vital for STEM instruction. A quasi-experimenta...

Aug, 2026 pp. 340–351 5 views 2 downloads
34
Research Article DOI: 10.67203/jossme.2026.8h2y9kie

Improving Biology Achievement Among Serialist Learners using a Jigsaw-Enriched Polya Problem-Solving Model: Evidence from Secondary Schools in Zaria, Nigeria

Muhammad Hayatu Yusuf*, Janet Funke Jesulowo

This study investigated the effectiveness of a Jigsaw-Enriched Polya Problem-Solving Model in improving Biology achievement among serialist learners in secondary schools in Zaria, Nigeria. The study was motivated by the persistent poor achievement of students in Biology and the need for innovative instructional approaches that accommodate learners' cognitive preferences while promoting active part...

Aug, 2026 pp. 352–361 3 views
35
Research Article DOI: 10.67203/jossme.2026.f7ovll68

Fostering Honesty and Integrity in the Age of Gen-AI: Rethinking Ethical Scientific Attitudes in Science Education Research

Geoffrey Aondolumun Ayua*, Tertsea Caleb Kwagh

The rapid adoption of Gen-AI tools such as ChatGPT and Gemini in science education has created unprecedented opportunities for learning, while simultaneously threatening core ethical scientific attitudes. This conceptual paper examines how honesty and integrity, as foundational values in science, are being tested in an AI-mediated educational environment. The paper argues that the ease of fabricat...

Aug, 2026 pp. 362–369 5 views 2 downloads
36
Research Article DOI: 10.67203/jossme.2026.dy15bcii

Gender Differences in the Impact of Teacher-Student Verbal Interaction Styles on Biology Performance among Secondary School Students in Niger State, Nigeria

J. O. Joseph*, O. B. Oriolowo, Y. A. Isah

This study investigated gender and interaction styles (democratic, autocratic and laissez-faire) in Biology performance among secondary school students in Niger State, Nigeria. Descriptive survey research design was adopted for the study. Two (2) research questions and two (2) corresponding null hypotheses were formulated and tested at  level of significance. Twenty six thousand five hundred (26,5...

Aug, 2026 pp. 370–378 4 views 2 downloads
37
Research Article DOI: 10.67203/jossme.2026.3ch9ec66

Effects of Gamification on Academic Performance and Motivation in Learning Electrochemistry among SS2 Students in Sokoto Metropolis, Nigeria

Mustapha Aliyu, Hassan Aliyu*, Bilkisu Umar Mani

Chemistry is an important science subject, but students often experience difficulties in understanding abstract topics such as electrochemistry. The use of conventional teaching methods may not adequately promote students’ active participation and motivation. Gamification, which incorporates game elements such as points, badges, leaderboards, rewards, and quizzes into learning, has emerged as an i...

Aug, 2026 pp. 379–390 3 views
38
Research Article DOI: 10.67203/jossme.2026.uuav4j5m

Improving Creativity through Inquiry-Based Learning: Evidence from STEM Secondary School Students in Kaduna State, Nigeria

Aliyu Suleiman Aliyu*, Safiya Shafiu Muhammed

Creativity is a key twenty-first-century competency and a valued STEM education outcome, yet instruction in many Nigerian secondary schools remains teacher-centred, limiting students’ opportunities to develop creative thinking. This study investigated the effect of Inquiry-Based Learning (IBL) on the creativity of Senior Secondary II STEM students in Kaduna State, Nigeria, and examined whether the...

Aug, 2026 pp. 391–401 7 views 1 downloads
39
Research Article DOI: 10.67203/jossme.2026.6jw1uqbk

Curriculum Innovation: Integrating AI Literacy and Tools into Science Teacher Education and Classroom Practice

Kamalu Uba Muhammad*, Abubakar Ali Ado, Auwalu Abdullahi Salihu, Suleman Bature Gambo

Artificial intelligence (AI) is transforming educational systems globally, creating an urgent need for science teacher education programmes to equip pre-service and in-service teachers with AI literacy and the pedagogical competencies required to integrate AI tools into science teaching and learning. However, limited curriculum innovation in many teacher education programmes has hindered the effec...

Aug, 2026 pp. 402–413 2 views