Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 291-298
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 10-11-2023
This research paper discusses the mobile application developed as a learning aid for A/L Biology students to enhance their learning experiences in the field of biology, specifically focusing on microbes, animal classification, and human body systems. The main feature of this includes an Artificial Intelligence (AI) chatbot that utilizes natural language processing and image recognition technologies to help students understand key biological topics. Extensive research was conducted to align the app's content with the Advanced Level Biology syllabus, ensuring its relevance to the curriculum. The app offers a user-friendly interface with engaging visuals and a carefully curated knowledge base, allowing students to explore and study independently. User research with A/L Biology students demonstrated that the app significantly improved comprehension and memory of the subject matter, while the chatbot's ability to provide accurate information and foster interactive learning was highly rated by participants. Overall, the A/L Biology mobile app demonstrates the potential of mobile technology and AI in revolutionizing biology education, providing an easy and interesting platform for students to improve their learning outcomes and achieve academic goals. By utilizing machine learning for various functions, A/L Biology students can greatly benefit from enhanced learning of complex subjects with an accuracy of more than 90% in every learning category.
Machine learning, NLP, biology, education, mobile application
Yasith Chandula, Chaduni Nethmini Jayashantha, Nipuna Udayantha, Vishwa Jayasekara, Sanvitha Kasthuriarachchi, Karthiga Rajendran, “Clever Zone – An Interactive Mobile Learning Aid for Advanced Level Biology Students in Sri Lanka” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 291-298, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711040
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