Robotics & Machine Learning Daily News2024,Issue(Sep.30) :31-32.

Recent Findings in Machine Learning Described by Researchers from Federal Univer sity of Santa Catarina (Teaching Machine Learning to Middle and High School Stud ents from a Low Socio-Economic Status Background)

Robotics & Machine Learning Daily News2024,Issue(Sep.30) :31-32.

Recent Findings in Machine Learning Described by Researchers from Federal Univer sity of Santa Catarina (Teaching Machine Learning to Middle and High School Stud ents from a Low Socio-Economic Status Background)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting out of Florianopolis, Brazil, by NewsRx editors, research stated, "Knowledge about Machine Learning is becoming e ssential, yet it remains a restricted privilege that may not be available to stu dents from a low socio-economic status background." The news editors obtained a quote from the research from Federal University of S anta Catarina: "Thus, in order to provide equal opportunities, we taught ML conc epts and applications to 158 middle and high school students from a low socio-ec onomic background in Brazil. Results show that these students can understand how ML works and execute the main steps of a human-centered process for developing an image classification model. No substantial differences regarding class period s, educational stage, and sex assigned at birth were observed. The course was pe rceived as fun and motivating, especiAlly to girls. Despite the limitations in t his context, the results show that they can be overcome. Mitigating solutions in volve partnerships between social institutions and university, an adapted pedago gical approach as well as increased on-by-one assistance."

Key words

Federal University of Santa Catarina/Fl orianopolis/Brazil/South America/Cyborgs/Emerging Technologies/Machine Lear ning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文