IMPROVING PREDICTION OF STUDENTS’ PERFORMANCE IN INTELLIGENT TUTORING SYSTEMS USING ATTRIBUTE SELECTION AND ENSEMBLES OF DIFFERENT MULTIMODAL DATA SOURCES

WILSON GUSTAVO CHANGO SAILEMA

IMPROVING PREDICTION OF STUDENTS’ PERFORMANCE IN INTELLIGENT TUTORING SYSTEMS USING ATTRIBUTE SELECTION AND ENSEMBLES OF DIFFERENT MULTIMODAL DATA SOURCES

WILSON GUSTAVO CHANGO SAILEMA

Producción científica: Revista › Artículo › revisión exhaustiva

Idioma original	Español (Ecuador)
Publicación	REVISTA
Estado	Publicada - 28 oct. 2021
Publicado de forma externa	Sí

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https://link.springer.com/article/10.1007%2Fs12528-021-09298-8

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title = "IMPROVING PREDICTION OF STUDENTS{\textquoteright} PERFORMANCE IN INTELLIGENT TUTORING SYSTEMS USING ATTRIBUTE SELECTION AND ENSEMBLES OF DIFFERENT MULTIMODAL DATA SOURCES",

author = "\{CHANGO SAILEMA\}, \{WILSON GUSTAVO\}",

year = "2021",

month = oct,

day = "28",

language = "Espa{\~n}ol (Ecuador)",

journal = "REVISTA",

issn = "1042-1726",

}

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T1 - IMPROVING PREDICTION OF STUDENTS’ PERFORMANCE IN INTELLIGENT TUTORING SYSTEMS USING ATTRIBUTE SELECTION AND ENSEMBLES OF DIFFERENT MULTIMODAL DATA SOURCES

AU - CHANGO SAILEMA, WILSON GUSTAVO

PY - 2021/10/28

Y1 - 2021/10/28

UR - https://link.springer.com/article/10.1007%2Fs12528-021-09298-8

M3 - Artículo

SN - 1042-1726

JO - REVISTA

JF - REVISTA

ER -