SISTEM ZA PERSONALIZACIJU VIDEO TUTORIJALA ZASNOVAN NA MAŠINSKOM UČENJU

Nevena Đerić

doi:10.24867/06BE04Djeric

Nevena Đerić

DOI: https://doi.org/10.24867/06BE04Djeric

Ključne reči: personalizovana nastava, eye-tracker uređaj, klasterovanje, KNN, KMeans

Apstrakt

Problem koji ovaj rad rešava jeste preporuka najpogodnijeg tipa tutorijala. Rad je rezultat istraživanja koje je rađeno nad studentima Fakulteta tehničkih nauka. Studenti su odgovarali na pitanja ankete, gledali video tutorijale o algoritmima sortiranja i odgovarali na pitanja testa znanja o algoritmima sortiranja. Prilikom gledanja jednog od video tutorijala praćen im je pogled na ekranu uz pomoć uređaja za praćenje pokreta očiju. Na taj način formiran je skup podataka, koji je korišćen za izgradnju modela. U modelu sa najvećom tačnošću, za pronalaženje sličnih studenata koristi se KNN algoritam. Na osnovu sličnih studenata pronalazi se najpogodniji tip tutorijala za datog studenta. Ovaj model postigao je tačnost od 75% na validacionom skupu i tačnost od 67% na testnom skupu.

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