实现基于团队的学习Dalam Pengembangan penbelajaran在线berbased人工智能

Bens Pardamean, Teddy Suparyanto, Andri Anugrahana, Indri Anugraheni, Digdo Sudigyo
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引用次数: 1

摘要

在线学习是随着当今技术的发展而发展起来的。在线学习的发展将提高学习过程的质量。研究目标是在团队学习(TBL)框架内改进基于人工智能(AI)的在线学习门户。探索了人工智能在基于学生学习方式的个性化学习中的好处,甚至将TBL用作一种学习方法,以提高学生的学习效果。本研究中使用的方法是进行研究开发的方法。MOODLE作为一个学习管理系统正在被用来扩展在线学习门户。此外,人工智能技术正在发展,使用基于协同过滤的算法来预测学习风格,并使用进化算法来分析学生群体的成长。来自三个省的十所小学(SD)的262名学生参与了这项研究。R数据分析程序的应用使用配对t检验来比较前检验和后检验。这项研究的结果表明,在TBL框架内基于人工智能的在线学习可以显著提高学生的学习成绩。
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Implementasi Team-Based Learning Dalam Pengembangan Pembelajaran Online Berbasis Artificial Intelligence
Online learning is growing along with the development of today's technology. Online learning development will improve the quality of the learning process. The research goal is to improve an online learning portal based on Artificial Intelligence (AI) within the Team-Based Learning (TBL) framework. The benefits of AI in personalizing learning based on how students learn, and even the TBL usage as a learning method, are explored to improve student learning results. The method used in this research is a method for conducting research development. MOODLE as a Learning Management System is being used to expand the online learning portal. In addition, AI technology is developing using algorithms based on collaborative filtering to predict learning styles and evolutionary algorithms to analyze student group growth. There were 262 students from ten elementary schools (SD) in three provinces who participated in this study. The application of the R data analysis program used paired t-test to compare the pre-test and post-test. The findings of this study indicate that AI-based online learning within the TBL framework can significantly improve student learning outcomes.
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发文量
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审稿时长
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