This paper looks into the effect of different educational levels on rice production in Bangladesh for increasing rice productivity. Farm-level cross-sectional data are collected by employing a structured questionnaire with a random sampling technique. The chi-square test and econometric techniques, including multiple regression and ridge regression methods, are used in this analysis. The results of the multiple regression reveal that different educational levels have a statistically significant and positive impact on rice production, but these results may create a multicollinearity problem. Other findings of the ridge regression reveal that cost of input, cost of labour, cultivable land, and extension services also have statistical significance and positive consequences on rice production. Even this result overcomes the multicollinearity issue. The policy suggestions of the study are that the government places a greater emphasis on education through adult continuing education programs and literacy promotion training so that rice farmers can achieve higher productivity through better farming practices.