Chutiwan BoonarchatongThinnagorn ChunhapataragulSaisuda PantrakoolPhuripoj KaewyongKanitta WongmaKongsak Boonarchatong2025-02-072025-02-072023-12-1918th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 27-29 November 2023} Bangkok, Thailand.https://repository.dusit.ac.th//handle/123456789/2933The aims of this research were to develop smart innovative trash bins to be used as learning media for garbage segregation and to assessment the learning outcomes after playing the game with smart innovative trash bins. The sample group consisted of 400 grade 4, 5, and 6 students. A set of smart innovative trash bin contains four trash bins classified by type: 1) biodegradable garbage (green bin), 2) hazardous garbage (red bin), 3) general garbage (blue bin), and 4) recycle garbage (yellow bin). The bin embedded the program code in the Arduino board. Twelve garbage items, four types, had RFID tags. When users bring garbage into the correct type of garbage bin, the trash bin lid will open and close by itself. On the other hand, if the garbage is placed in the wrong garbage bin, the lid will not open. The result shown the sample group’s learning outcome of garbage segregation increased by with 3.52 scores or 17.6%. In summary, smart innovative trash bins able to promote learning outcomes of garbage segregation.enTechnological innovationCodesLearning (artificial intelligence)GamesMediaNatural language processingRecyclingArticle