PREDICTING ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS FROM MULTI-SOURCES DATA IN BLENDED LEARNING

WILSON GUSTAVO CHANGO SAILEMA

PREDICTING ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS FROM MULTI-SOURCES DATA IN BLENDED LEARNING

WILSON GUSTAVO CHANGO SAILEMA

Research output: Contribution to journal › Article › peer-review

Original language	Spanish (Ecuador)
Journal	REVISTA
State	Published - 2 Dec 2019
Externally published	Yes

Cite this

TY - JOUR

T1 - PREDICTING ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS FROM MULTI-SOURCES DATA IN BLENDED LEARNING

AU - CHANGO SAILEMA, WILSON GUSTAVO

PY - 2019/12/2

Y1 - 2019/12/2

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85077127924&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=4cfa190e4be11abd95354d9200286d43

M3 - Artículo

SN - 1025-0255

JO - REVISTA

JF - REVISTA

ER -

PREDICTING ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS FROM MULTI-SOURCES DATA IN BLENDED LEARNING

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