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All Journal Journal of Digital Learning and Education Indonesian Journal of Multidiciplinary Research (IJoMR) Indonesian Journal of Teaching in Science International Journal of Essential Competencies in Education International Journal of Ethnoscience and Technology in Education ASEAN Journal of Educational Research and Technology
Babalola, Ebenezer Omolafe
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Students’ Reactions Toward the Use of An AI-Powered Website for Learning Cardiovascular Biology Babalola, Ebenezer Omolafe; Olumorin, Charles Olubode; Omolafe, Eyiyemi Veronica
International Journal of Essential Competencies in Education Vol. 4 No. 2 (2025): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/2e4ngb50

Abstract

Artificial Intelligence-powered websites (AI-PW) leverage artificial intelligence to deliver personalised and adaptive learning experiences, enhancing engagement and accessibility. Despite their potentials, there is a shortage of empirically validated-AI resources for learning Cardiovascular Biology (CVB) in Nigeria. This study investigated students’ reactions toward the use of an AI-powered website for learning CVB in Nigeria. The study adopted a research design involving undergraduates from two purposively selected universities in Ilorin metropolis. A total of 68 students participated in the study. Data were collected using the Students’ Reaction Questionnaire (SRQ), which demonstrated a high reliability coefficient of 0.94. Descriptive statistics and t-tests were employed to analyze the data at a 0.05 level of significance. Findings revealed that students’ reactions toward the use of the AI-powered website for learning CVB were positive (x = 2.86 > 2.50). Furthermore, there was no significant difference in students’ reactions toward the use of the developed AI-powered website for learning CVB based on gender. The study concluded that the use of the BeeNCardiac AI-powered website positively influenced students’ learning experiences in cardiovascular biology. It is therefore recommended that students be encouraged to use the BeeNCardiac AI-powered website as a complementary tool for learning CVB in Nigerian universities.
Enhancing Biology Learning through 3D Models: A Study of Academic Performance in Nigerian Secondary Schools Babalola, Ebenezer Omolafe; Omolafe, Eyiyemi Veronica
International Journal of Essential Competencies in Education Vol. 4 No. 1 (2025): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v4i1.1862

Abstract

Despite the recognized importance of Biology in secondary education, students' performance in the subject remains persistently low, particularly in Nigeria, due to the continued reliance on abstract, text-based instructional methods. This study addresses this pedagogical gap by evaluating the impact of a 3-Dimensional Model of the Human Circulatory System (3-DMHCS) on students' academic performance. Grounded in constructivist and multimodal learning frameworks, the study utilized a quasi-experimental post-test non-randomized control group design involving 60 students (49 from public and 11 from private schools). Participants were assigned to either a control group receiving conventional instruction or an experimental group taught using the 3-DMHCS. The Biology Performance Test (BPT), validated and yielding a reliability coefficient of 0.86 (KR-20), was used for assessment. Quantitative results revealed that the experimental group achieved a higher mean post-test score (M = 13.36, SD = 3.44) compared to the control group (M = 11.42, SD = 2.87), with a statistically significant mean difference of 1.94 (t(58) = 2.83, p < 0.01). Additionally, over 53% of students in the experimental group scored within the high range (16–20), whereas none in the control group reached this threshold. Notably, no significant difference was observed between public and private school students’ performance in the experimental group (t(58) = -0.180, p = 0.86), indicating the model’s equitable effectiveness across institutional contexts. The study contributes novel evidence on how low-cost, tactile instructional models can bridge educational disparities and enhance students' grasp of complex biological systems. It advocates for integrating 3D instructional tools into mainstream science curricula and underscores the need for professional development to support such pedagogical innovations.
Students’ Reactions Toward the Use of An AI-Powered Website for Learning Cardiovascular Biology Babalola, Ebenezer Omolafe; Olumorin, Charles Olubode; Omolafe, Eyiyemi Veronica
International Journal of Essential Competencies in Education Vol. 4 No. 2 (2025): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/2e4ngb50

Abstract

Artificial Intelligence-powered websites (AI-PW) leverage artificial intelligence to deliver personalised and adaptive learning experiences, enhancing engagement and accessibility. Despite their potentials, there is a shortage of empirically validated-AI resources for learning Cardiovascular Biology (CVB) in Nigeria. This study investigated students’ reactions toward the use of an AI-powered website for learning CVB in Nigeria. The study adopted a research design involving undergraduates from two purposively selected universities in Ilorin metropolis. A total of 68 students participated in the study. Data were collected using the Students’ Reaction Questionnaire (SRQ), which demonstrated a high reliability coefficient of 0.94. Descriptive statistics and t-tests were employed to analyze the data at a 0.05 level of significance. Findings revealed that students’ reactions toward the use of the AI-powered website for learning CVB were positive (x = 2.86 > 2.50). Furthermore, there was no significant difference in students’ reactions toward the use of the developed AI-powered website for learning CVB based on gender. The study concluded that the use of the BeeNCardiac AI-powered website positively influenced students’ learning experiences in cardiovascular biology. It is therefore recommended that students be encouraged to use the BeeNCardiac AI-powered website as a complementary tool for learning CVB in Nigerian universities.
Enhancing Biology Learning through 3D Models: A Study of Academic Performance in Nigerian Secondary Schools Babalola, Ebenezer Omolafe; Omolafe, Eyiyemi Veronica
International Journal of Essential Competencies in Education Vol. 4 No. 1 (2025): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v4i1.1862

Abstract

Despite the recognized importance of Biology in secondary education, students' performance in the subject remains persistently low, particularly in Nigeria, due to the continued reliance on abstract, text-based instructional methods. This study addresses this pedagogical gap by evaluating the impact of a 3-Dimensional Model of the Human Circulatory System (3-DMHCS) on students' academic performance. Grounded in constructivist and multimodal learning frameworks, the study utilized a quasi-experimental post-test non-randomized control group design involving 60 students (49 from public and 11 from private schools). Participants were assigned to either a control group receiving conventional instruction or an experimental group taught using the 3-DMHCS. The Biology Performance Test (BPT), validated and yielding a reliability coefficient of 0.86 (KR-20), was used for assessment. Quantitative results revealed that the experimental group achieved a higher mean post-test score (M = 13.36, SD = 3.44) compared to the control group (M = 11.42, SD = 2.87), with a statistically significant mean difference of 1.94 (t(58) = 2.83, p < 0.01). Additionally, over 53% of students in the experimental group scored within the high range (16–20), whereas none in the control group reached this threshold. Notably, no significant difference was observed between public and private school students’ performance in the experimental group (t(58) = -0.180, p = 0.86), indicating the model’s equitable effectiveness across institutional contexts. The study contributes novel evidence on how low-cost, tactile instructional models can bridge educational disparities and enhance students' grasp of complex biological systems. It advocates for integrating 3D instructional tools into mainstream science curricula and underscores the need for professional development to support such pedagogical innovations.
Co-Authors Adeyoola, Iyanuoluwa Adewumi Agarry, Rachael Ojima Aladesusi, Gboyega Ayodeji Alimi, Adebayo Emmanuel Animashaun, Victoria O. Ayoola, Desire Adunola Buraimoh, Oluwaseun Funmilola Ekunola, Gbadebo Temitope Issa, Ahmed Idris Keku, Emmanuel Obielodan, Omotayo Olabo Oludare, Precious Ize Olumorin, Charles Olabode Olumorin, Charles Olubode Omolafe, Eyiyemi Veronica