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Studies from University of Macau Yield New Data on Machine Learning (Identifying Key Contextual Factors of Digital Reading Literacy Through a Machine Learning Approach)

机译:澳门大学的研究产生新的数据机器学习(识别关键的上下文通过一个数字阅读素养的因素机器学习方法)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning. According to news originating from Macao, People’s Republic of China, by NewsRx correspondents, research stated, “Few of previous reading studies comprehensively examined the contributing factors of students’ digital reading literacy. To fill this gap, based upon the ecological perspective, this study aims to investigate which factors from the student, home, and school context are more important in discriminating high-performing digital readers from non-high-performing digital readers.”
机译:机器人技术与新闻记者新闻编辑机器学习日常新闻-每日新闻调查人员发布的新报告机器学习。澳门中华人民共和国NewsRx记者,研究指出:“一些以前的阅读研究全面检查学生的数字阅读的因素读写能力。生态的角度来看,本研究旨在研究哪些因素的学生,家里,和学校环境更重要歧视高性能数字读者从non-high-performing数字读者。”

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