EFFICACY OF DEEPBRAIN AI ON TEACHING PRACTICAL BIOLOGY IN SENIOR SECONDARY SCHOOLS IN GWALE LOCAL GOVERNMENT AREA KANO STATE, NIGERIA
Abstract
ABSTRACT
This study investigates the efficacy of DeepBrain AI in enhancing the teaching of practical
biology in senior secondary schools within Gwale Local Government Area, Kano State,
Nigeria. Amid persistent challenges such as inadequate laboratory resources, limited access
to modern teaching tools, and shortages of skilled educators, the integration of AI-driven
educational technologies offers a promising alternative to traditional instruction. DeepBrain
AI, known for its interactive simulations, realistic AI avatars, and personalized feedback
capabilities, was evaluated for its impact on conceptual understanding, practical skill
development, academic achievement, and gender inclusivity in biology education. A quasi
experimental design was employed, and data were collected using a structured questionnaire
and an observation checklist administered to 395 biology teachers from selected public
secondary schools. Data analysis revealed that teachers perceived DeepBrain AI as
significantly enhancing students’ grasp of complex biological concepts, offering effective
laboratory simulations, and fostering improved academic performance. Moreover, the
findings indicated that the AI tool promotes equitable learning outcomes across genders,
contributing to a more inclusive educational environment. The study highlights the potential
of AI-powered platforms in bridging practical learning gaps while emphasizing the need for
investment in digital infrastructure, teacher capacity-building, and strategic policy
implementation. Recommendations include the integration of AI tools into the biology
curriculum, expanding access to digital resources, and fostering public-private partnerships
to enhance the sustainability of AI-driven education in Nigeria.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.