Robotics & Machine Learning Daily News2024,Issue(Aug.5) :51-51.

Studies from Fujian Normal University in the Area of Robotics Reported (Impact o f Pre-knowledge and Engagement In Robotsupported Collaborative Learning Through Using the Icapb Model)

Robotics & Machine Learning Daily News2024,Issue(Aug.5) :51-51.

Studies from Fujian Normal University in the Area of Robotics Reported (Impact o f Pre-knowledge and Engagement In Robotsupported Collaborative Learning Through Using the Icapb Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news originating fromFujian, People’s Republic of China, by NewsRx correspondents, research stated, “Several challenges exist incompute r-supported collaborative learning environments, such as the potential for distr action and studentboredom and isolation, which may adversely affect the quality of collaborative learning and knowledgeconstruction. On the other hand, as an innovative learning tool, physical robots are seen as successfulcollaborative l earning facilitators that can raise student engagement, strengthen social presen ce, andboost learning results.”

Key words

Fujian/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Fujian N ormal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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