Title: ROBOTICS-BASED LEARNING: PREPAREDNESS INDICES OF PROGRAMMING FOR LECTURERS IN UNIVERSITIES IN SOUTH-EAST, NIGERIA

Authors:
Onuoha, E. E, Kalu, E. U, & Ibezim. N. E.

Abstract: Abstract This study determined the preparedness of programming lectures in universities located in South-East Nigeria for integrating robotics-based learning. The study Employed a survey research design, to collected data from a sample of 400 lecturers across the five major universities using a structured questionnaire. The questionnaire was structured on a four responses scale of Strongly Agree, Agree, Disagree and Strongly Disagree. The questionnaire was face validated by three experts from department of computer and robotics education, university Of Nigeria Nsukka, using Cronbach alpha method for determining the reliability and a coefficient index of 0.87 was obtained. Data collected from the study were analysed using mean and standard Deviation to answer the research questions while ANOVA was used to test the null hypotheses at 0.05 level of significant. Findings revealed low preparedness indices, with mean responses indicating inadequate infrastructure (x̄=2.1), limited lecturer training (x̄=2.3), and insufficient curriculum integration (x̄=2.4). Based on the findings the study recommends enhanced TETFund interventions, professional development programs, and policy reforms to boost robotics adoption in programming education. Also, Robotics-based learning should be integrated into the curriculum for all the computer programming courses in the universities South East, Nigeria. These measures could elevate South-East Nigerias STEM competitiveness amid global technological shifts. Statistical analysis via ANOVA showed significant differences across institutions (F=4.56, p

Publication Date: 2026-07-21