Intelligent Educational Recommendation Platform with AI Chatbots

Thanarat Kingchang, Pinanta Chatwattana, Panita Wannapiroon
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Abstract

The objectives of this research were as follows. 1) Analyze the intelligent educational recommendation platform with AI Chatbots. 2) Design the architecture of the intelligent educational recommendation platform with AI Chatbots. 3) Develop the architecture of the intelligent educational recommendation platform with AI Chatbots. 4) Study the appropriateness of developing the intelligent educational recommendation platform with AI Chatbots. The sample used in the research was seven experts in information system development from various institutions in higher education. The architecture of the intelligent educational recommendation platform with AI Chatbots there is two main components: 1) Stakeholders consisting of system administrators and external users, and 2) The working process of the intelligent educational recommendation platform with AI Chatbots consists of four parts including natural language processing, dialog management, database and application programming interface (API), and response generation. Assessment of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots found that 1) the architecture of the intelligent educational recommendation platform with AI Chatbots, overall at a high appropriated, 2) the architecture of the intelligent educational recommendation platform with AI Chatbots, an individual element at a high appropriated, and 3) the architecture of the intelligent educational recommendation platform with AI Chatbots, Integrated elements at a high appropriated. As described earlier, the architecture of the intelligent educational recommendation platform with AI Chatbots can be a guideline for developing with AI Chatbots in the future.
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具有AI聊天机器人的智能教育推荐平台
本研究的目的如下:1)分析基于AI聊天机器人的智能教育推荐平台,2)设计基于AI聊天机器人的智能教育推荐平台架构,3)开发基于AI聊天机器人的智能教育推荐平台架构,4)研究基于AI聊天机器人开发智能教育推荐平台的适用性。研究中使用的样本是来自不同高等教育机构的7位信息系统开发专家。基于AI聊天机器人的智能教育推荐平台的体系结构主要由两个部分组成:1)由系统管理员和外部用户组成的利益相关者;2)基于AI聊天机器人的智能教育推荐平台的工作流程包括自然语言处理、对话管理、数据库和应用程序编程接口(API)以及响应生成四个部分。对具有AI聊天机器人的智能教育推荐平台架构的适宜性评估发现,1)具有AI聊天机器人的智能教育推荐平台架构总体上处于高适宜度,2)具有AI聊天机器人的智能教育推荐平台架构是一个高适宜度的个体元素,3)具有AI聊天机器人的智能教育推荐平台架构。综合要素在一个高度适当。如前所述,基于AI聊天机器人的智能教育推荐平台的架构可以作为未来AI聊天机器人发展的指南。
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