This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated. They were tasked with generating prompts covering various pavement design topics. These included Traffic, Subgrade Characteristics, Asphalt Materials, AASHTO-Flexible Design, AASHTO-Rigid Design, Interlocking Concrete Pavements Design, International Roughness Index (IRI), and Construction Systems on Pavements. Students then assessed AI-generated responses using a predefined grading scale. The results revealed Bard achieved a higher approval rate of 71.1% compared to ChatGPT's 48.5%. ChatGPT 3.5 would not meet the passing threshold for certain topics, such as AASHTO-Flexible Design, AASHTO-Rigid Design, and IRI. In contrast, Bard consistently achieved higher approval rates across all assessed topics. Students acknowledged the AI tools' significant contribution to a deeper understanding of the course material. This integration positively influenced civil engineering students' learning outcomes, highlighting the evolving role of AI in education and encouraging further exploration in academia. [For the complete proceedings, see ED672804.]