地球资源数据云——数据资源详情
聊天机器人对大学学习的影响
该数据集《Chatbots' Impact on University Learning》主要用于监督学习任务，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：Enhancing Education through AI: How Chatbots Transform University Learning 任务类型：文本监督学习。 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：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 Impact of Conversational Chatbots on Learning of University Students To examine the impact of conversational chatbots on electronic learning in Bulgaria, an online survey was conducted using a Google Forms - based questionnaire from May 14 to May 31, 2023. The survey link was distributed via email and social media to student organizations and groups, resulting in 131 complete responses during the study period. With the recent advancements in large language models, generative AI chatbots have gained popularity due to their enhanced capabilities in natural language processing. The majority of respondents (89%) reported having prior experience using conversational chatbots as an educational tool. The respondents evaluated their AI chatbot experience based on criteria such as frequency of use, perceived usefulness, trust and security, and facilitating conditions. The findings indicate that students who are aware of the capabilities and benefits of smart chatbots are more likely to use them frequently. The second part of this study aims to evaluate the effectiveness of educational chatbots in handling university learning tasks, particularly in the field of mathematics. Two mathematics tasks were chosen and solved using different conversational chatbots. Here we can find information about cases where chatbots make mistakes and the types of errors.
摘要概览
该数据集《Chatbots' Impact on University Learning》主要用于监督学习任务，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：Enhancing Education through AI: How Chatbots Transform University Learning
任务类型：文本监督学习。
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：未检测到标准 CSV，可优先查看目录中的索引或说明文件。
Impact of Conversational Chatbots on Learning of University Students
To examine the impact of conversational chatbots on electronic learning in Bulgaria, an online survey was conducted using a Google Forms - based questionnaire from May 14 to May 31, 2023. The survey link was distributed via email and social media to student organizations and groups, resulting in 131 complete responses during the study period.
With the recent advancements in large language models, generative AI chatbots have gained popularity due to their enhanced capabilities in natural language processing. The majority of respondents (89%) reported having prior experience using conversational chatbots as an educational tool.
The respondents evaluated their AI chatbot experience based on criteria such as frequency of use, perceived usefulness, trust and security, and facilitating conditions. The findings indicate that students who are aware of the capabilities and benefits of smart chatbots are more likely to use them frequently.
The second part of this study aims to evaluate the effectiveness of educational chatbots in handling university learning tasks, particularly in the field of mathematics. Two mathematics tasks were chosen and solved using different conversational chatbots. Here we can find information about cases where chatbots make mistakes and the types of errors.