Binyamin Birkan

Active machine learning framework for teaching object recognition skills to children with autism

Active machine learning (AML) techniques enable a machine learning model to perform better with less labeled training data. In this study, we proposed an AML approach for teaching object recognition skills to children with autism spectrum disorders (ASD) and compared its effects with passive learning (PL). A web and touch-based application was developed for teaching object recognition where objects were grouped according to their categories and difficulty levels. The teaching procedure was based on Applied Behavioral Analysis principles. Five children with mild to moderate levels of ASD participated in the study. An alternating treatments design of single-subject research methods was used. The results indicated that AML was more effective than PL for four out of the five participants. Consequently, they can learn faster with fewer teaching trials that are required to reach a learning criterion.

Etkinlik çizelgeleri: otizmli çocuklara bağımsızlık, sosyal etkileşim ve seçim yapmayı kazandırma

Etkinlik cizelgeleri, otizmli veya ileri derecede yaygin gelisim bozuklugu olan bireylerin egitiminde kullanilan bilimsel dayanakli etkili bir ogretim yontemidir. Etkinlik cizelgeleri, otizmli bireylere baskalarinin verdigi yonergelere bagli kalmadan gunluk etkinliklerini kendi baslarina yapmalarina yardimci olan fotografli veya yazili ipuclarindan olusur. Otizmli bireyler, etkinlik cizelgelerleri kullanarak rutinlerinde degisiklik yapmayi, etkinlik secmeyi, etkinliklerini siraya koymayi ve baskalariyla iletisime girmeyi ogrenirler. Bu makalede, ogretmen ve ebeveynlerin cocuklarinin oyun, oz-bakim, sosyal etkilesim, akademik ve ev rutinlerini gelistirmek icin etkinlik cizelgelerini nasil kullandiklari, onkosul becerilerin neler oldugu, ogretim materyallerinin nasil hazirlandigi ve cizelge takip becerisinin nasil ogretildigi tartisilmaktadir.