Applying machine learning in science assessment: a systematic review

Autor:	Yue Yin, Xiaoming Zhai, Lehong Shi, Kevin C. Haudek, James W. Pellegrino
Rok vydání:	2020
Předmět:	Training set business.industry Computer science 05 social sciences 050401 social sciences methods 050301 education Machine learning computer.software_genre Science education Education 0504 sociology Artificial intelligence business 0503 education computer
Zdroj:	Studies in Science Education. 56:111-151
ISSN:	1940-8412 0305-7267
DOI:	10.1080/03057267.2020.1735757
Popis:	Machine learning (ML) is an emergent computerised technology that relies on algorithms built by ‘learning’ from training data rather than ‘instruction’, which holds great potential to revolutionise...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5ddcedf848d22086602eef5e2a5f72aa https://doi.org/10.1080/03057267.2020.1735757 Zobrazit plný text záznamu