ASSESSING THE EEFECTIVENESS OF AI-BASED INSTRUCTIONAL TOOLS IN TEACHING OF AGRICULTURAL SCIENCE IN COLLEGES OF EDUCATION IN DELTA STATE: LECTURERS’ PERCEPTION

2026-02-08T09:08:42+00:00

This study assessed the effectiveness AI-Based instructional tools in teaching of Agricultural Sciences in Colleges of Education (COEs) in Delta State, looking at the lecturers’ perception. Three research questions guided the study. The study adopted a descriptive survey research design. The estimated population for this study comprised all the 68 Agricultural Science lecturers in the three public (one Federal and two State Government-owned) Colleges of Education in Delta State (that is: Federal College of Education (Technical), Asaba – 25 lecturers; Delta State College of Education, Mosogar – 26 lecturers; and Delta State College of Education, Warri – 17 lecturers). Sample size for the study comprised all the 68 lectures from the three COEs selected using a purposive sampling technique. The instrument for data collection was a researcher self-structured questionnaire titled “Effectiveness of AI-Based Instructional Tools in Teaching of Agricultural Science Questionnaire (EAIBITTASQ)” containing 29 items. Both validity and reliability of the questionnaire was established. Data collated were analyzed using mean (x̅) statistics and standard deviation (SD) statistics in order to answer the research questions. Findings of the study revealed among others that the AI-based instructional tools such as the intelligent tutoring systems, adaptive learning platforms, Agricultural simulation and visualization tools and learning analytics dashboards can be effectively utilized in teaching Agricultural Science in COEs in Delta State. Based on the findings, it was recommended among others that the Government (both federal and state), educational policymakers and other important education stakeholders should assist the colleges of education in Delta State through adequate resource mobilization to provide the necessary digital infrastructure (reliable internet, functional ICT labs, intelligent tutoring systems, adaptive learning platforms, virtual simulations, VR/AR tools, AI-enhanced LMS, and mobile AI tools, among others) alongside clear policies for ethical and sustainable use of AI-based instructional tools in teaching of Agricultural Science. This will ensure equitable access and maximize the positive impact of AI tools towards promoting effectiveness of teaching and learning in Agricultural Science in the COEs.

DIGITALISATION OF WATER pH MONITORING IN AQUACULTURE

2026-02-12T09:11:20+00:00

Digitalisation in aquaculture has emerged as a strategic necessity in response to increasing production demands and environmental challenges affecting water quality. Among critical water quality parameters, pH plays a fundamental role in regulating fish physiology, metabolic balance, and survival. Fluctuations beyond optimal ranges can lead to physiological stress, disease susceptibility, and reduced production performance. Recent technological advances, particularly Internet of Things (IoT)-based systems, enable real-time monitoring and digital management of pH conditions, improving decision making and operational efficiency. This review article synthesises published studies concerning digital pH monitoring applications in aquaculture and evaluates their impacts on aquaculture productivity in Indonesia. Literature analysis indicates that digital monitoring systems may reduce fish mortality risks by up to 30% while increasing production yields by approximately 20–25%. However, challenges including infrastructure limitations, high initial investment, and limited technological literacy among farmers still hinder widespread adoption. Support from government and institutions are therefore essential to optimise digital technology implementation and improve aquaculture sustainability.

GPH-International Journal of Agriculture and Research

ASSESSING THE EEFECTIVENESS OF AI-BASED INSTRUCTIONAL TOOLS IN TEACHING OF AGRICULTURAL SCIENCE IN COLLEGES OF EDUCATION IN DELTA STATE: LECTURERS’ PERCEPTION

DIGITALISATION OF WATER pH MONITORING IN AQUACULTURE