IoT Smart Innovation Bin for Promote Learning Garbage Segregation

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dc.contributor.authorChutiwan Boonarchatong
dc.contributor.authorThinnagorn Chunhapataragul
dc.contributor.authorSaisuda Pantrakool
dc.contributor.authorPhuripoj Kaewyong
dc.contributor.authorKanitta Wongma
dc.contributor.authorKongsak Boonarchatong
dc.date.accessioned2025-02-07T14:47:26Z
dc.date.available2025-02-07T14:47:26Z
dc.date.issued2023-12-19
dc.description.abstractThe 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.
dc.identifier.citation18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 27-29 November 2023} Bangkok, Thailand.
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/2933
dc.language.isoen
dc.subjectTechnological innovation
dc.subjectCodes
dc.subjectLearning (artificial intelligence)
dc.subjectGames
dc.subjectMedia
dc.subjectNatural language processing
dc.subjectRecycling
dc.titleIoT Smart Innovation Bin for Promote Learning Garbage Segregation
dc.typeArticle
mods.location.urlhttps://ieeexplore.ieee.org/abstract/document/10354681
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