Intelligent　Tutoring　System　(ITS)　is　the　main　form　of　combination　of　artificial　intelligence　technology　and　education.　Objectively　and　scientifically　assessing　the　modules　of　the　intelligent　teaching　system　have　an　important　guiding　role　in　improving　the　effect　of　system　teaching.　This　study　adopts　the　evaluation　of　the　intelligent　teaching　system　evaluation　of　the　Analytic　Hierarchy　Process　(AHP).　AHP　can　effectively　build　a　system　module　evaluation　mode,　layered　the　four　major　modules　of　the　intelligent　teaching　system,　obtain　the　weight　distribution　of　each　module　through　quantitative　methods,　and　determine　the　effectiveness　of　the　weight　through　consistency　testing.　The　experimental　results　show　that　the　intelligent　human–machine　interface　module　has　a　significant　effect　on　the　improvement　of　system　teaching　effects.　This　study　provides　comprehensive　and　systematic　methods　for　evaluation　of　the　intelligent　teaching　system　module,　and　provides　valuable　reference　for　future　decision-making　analysis　of　the　development　and　design　of　intelligent　teaching　systems.　This　method　also　provides　reference　significance　for　other　system　evaluation　research.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.　2024.