Educational data mining applications and tasks: A survey of the last 10 years
Autor: | Samira ElAtia, Osmar R. Zaïane, Behdad Bakhshinategh, Donald Ipperciel |
---|---|
Rok vydání: | 2017 |
Předmět: |
Computer science
Process (engineering) media_common.quotation_subject 05 social sciences Educational technology 050301 education 02 engineering and technology Library and Information Sciences Data science Educational data mining Field (computer science) Education Task (project management) Taxonomy (general) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Applied research Quality (business) 0503 education media_common |
Zdroj: | Education and Information Technologies. 23:537-553 |
ISSN: | 1573-7608 1360-2357 |
DOI: | 10.1007/s10639-017-9616-z |
Popis: | Educational Data Mining (EDM) is the field of using data mining techniques in educational environments. There exist various methods and applications in EDM which can follow both applied research objectives such as improving and enhancing learning quality, as well as pure research objectives, which tend to improve our understanding of the learning process. In this study we have studied various tasks and applications existing in the field of EDM and categorized them based on their purposes. We have compared our study with other existing surveys about EDM and reported a taxonomy of task. |
Databáze: | OpenAIRE |
Externí odkaz: |