Robotics & Machine Learning Daily News2024,Issue(Jun.5) :76-76.

University of Florida Researcher Provides New Study Findings on Artificial Intel ligence (The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Syste ms From 2010 to 2022 on Learner Outcomes: A Meta-Analysis)

佛罗里达大学研究员提供了关于人工智能的新研究结果(2010年至2022年人工智能支持的适应性学习系统对学习者结果的有效性:荟萃分析)

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :76-76.

University of Florida Researcher Provides New Study Findings on Artificial Intel ligence (The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Syste ms From 2010 to 2022 on Learner Outcomes: A Meta-Analysis)

佛罗里达大学研究员提供了关于人工智能的新研究结果(2010年至2022年人工智能支持的适应性学习系统对学习者结果的有效性:荟萃分析)

扫码查看

摘要

由一名新闻记者兼机器人与机器学习每日新闻的新闻编辑-一项关于人工智能的新研究现在可用。根据N ewsRx编辑在佛罗里达州盖恩斯维尔的新闻报道,研究表明:"这项研究的目的是研究使用人工智能技术部署的适应性学习系统在一系列相关变量(例如,持续时间、学习水平等)中的总体效果。"我们的新闻记者从弗罗里达大学的研究中获得了一句话:“按照系统的程序,”这项荟萃分析研究了18个学术数据库的文献,确定了N=45项利用人工智能支持的适应性学习的独立研究。这项荟萃分析考察了人工智能支持的适应性学习系统与非适应性学习干预措施相比对学生认知学习结果的总体影响,发现它们具有中等到大的正效应大小(g=0.70)。此外,所有三个适应性来源(认知、情感和行为)和适应性目标(导航和评估)都是显著的调节因素。

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 Gainesville, Florida, by N ewsRx editors, research stated, “The purpose of this research study was to exami ne the overall effect of adaptive learning systems deployed using artificial int elligence technology across a range of relevant variables (e.g., duration, stude nt level, etc.).” Our news correspondents obtained a quote from the research from University of Fl orida: “Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45 independent studies utilizing AI-enabled adaptive learning. This meta-analysis examined the overall effect of AI-enabled adaptive learning systems on students’ cognitive learning outcomes wh en compared with non-adaptive learning interventions and found that they have a medium to large positive effect size ( g = 0.70). The effect was significantly m oderated by publication type, origin of study, student classification level, stu dent discipline, duration, and research design. In addition, all three adaptive sources (cognitive, affective, and behavioral) and adaptive targets (navigation and assessment) were significant moderators.”

Key words

University of Florida/Gainesville/Flor ida/United States/North and Central America/Artificial Intelligence/Emerging Technologies/Machine Learning

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