地球资源数据云——数据资源详情

教育领域的聊天机器人

该数据集《Chatbots in Education》主要用于多分类任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：The rapid development of artificial intelligence (AI). 任务类型：文本多分类。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Students_Attitude_Dataset new.csv。 Introduction The rapid development of artificial intelligence (AI), particularly in the domain of natural language processing (NLP), has led to the rise of conversational chatbots as an integral tool in various sectors, including education. These advancements have brought about significant changes in the way students engage with learning materials, communicate with educators, and resolve academic challenges. One area of growing interest is the effectiveness of conversational chatbots in supporting university students, particularly in the context of electronic learning (e - learning). This study aims to evaluate the impact of conversational AI chatbots on the learning outcomes of university students in Bulgaria, with a specific focus on mathematics education. Methodology