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-调查人员讨论人工智能的新发现。根据新闻报道来自印度尼西亚泗水，由NewsRx记者报道，研究称，“产生个性化的l根据每个学生的特点和能力量身定制的学习途径(PLP)具有挑战性，特别是当使用多项选择测试分数来预测知识水平，这可能会受到猜测的影响。我们将蚁群算法Algori THM(ACO)与项目反应理论(IRT)相结合来解决这个问题。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Surabaya, Indonesia, by NewsRx correspondents, research stated, “Generating personalizedl earning paths (PLP) tailored to each student’s characteristics and abilities is challenging, especially whenusing multiple-choice test scores to predict knowle dge levels, which can be affected by guessing. Wecombined the ant colony algori thm (ACO) with Item Response Theory (IRT) to address this issue.”
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