Robotics & Machine Learning Daily News2024,Issue(Nov.15) :26-27.

Study Results from Harbin Normal University Broaden Understandingof Machine Lea rning (Bisap: a Student Academic PerformancePrediction Model Based On the Fusio n of Classroom Behavior Imagesand Educational Information)

哈尔滨师范大学学习成果拓宽认识机器学习(Bisap:学生学习成绩基于课堂行为图像融合的预测模型和教育信息

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :26-27.

Study Results from Harbin Normal University Broaden Understandingof Machine Lea rning (Bisap: a Student Academic PerformancePrediction Model Based On the Fusio n of Classroom Behavior Imagesand Educational Information)

哈尔滨师范大学学习成果拓宽认识机器学习(Bisap:学生学习成绩基于课堂行为图像融合的预测模型和教育信息

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。据新闻报道来自中华人民共和国哈尔滨的报道,由NewsRx记者报道,研究称,“学生学业成绩预测是教育领域的一个重要研究领域,它具有广泛的应用前景。”引起了众多学者的兴趣和研究。学生学术研究的新途径绩效预测主要依靠教育系统提供的教育信息,忽视了绩效预测关于学生课堂行为的信息,这对模型的预测准确性有影响。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Harbin, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Student aca demic performance prediction is a significant area of study in the realm of educ ation that hasdrawn the interest and investigation of numerous scholars. The cu rrent approaches for student academicperformance prediction mainly rely on the educational information provided by educational system, ignoringthe information on students’ classroom behaviors, which has an impact on the model’s prediction accuracy.”

Key words

Harbin/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Harbin Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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