基于模糊逻辑的多用户自适应测试系统
Fuzzy Logic Based Multi User Adaptive Test System
摘要：
目前的电子学习的扩散在过去10年中一直在积极进行。目前，自适应测试系统的研究主要集中在开发适用于自适应测试过程的心理测量模型和项目选择策略。建议的自适应测试系统的关键方面是开发一个日益复杂的潜在特质模型，可以帮助用户发展和提高他们的技能。计算机化自适应测试系统（CAT）需要投入大量的时间和精力来开发、分析和管理自适应测试。本文提出了一种基于模糊逻辑的多用户自适应测试系统。这是一个基于短消息服务（SMS）的系统，目前与GSM网络集成的基础上，新的心理测量模型在教育评估。MUATS不仅是一个平台无关的自适应测试系统，而且它简化了自适应测试过程的评估工作。它进一步使用模糊逻辑从数据库池中为特定用户选择最合适的问题，使整个系统成为智能系统。
英文摘要：
The present proliferation of e-learning has been actively underway for the last 10 years. Current research in Adaptive Testing System focuses on the development of psychometric models with items selection strategies applicable to adaptive testing processes. The key aspect of proposed Adaptive Testing System is to develop an increasingly sophisticated latent trait model which can assist users in developing and enhancing their skills. Computerized Adaptive Test (CAT) System requires a lot of investment in time and effort to develop analyze and administrate an adaptive test. In this paper a fuzzy logic based Multi User Adaptive Test System (MUATS) is developed. Which is a Short Messaging Service (SMS) based System, currently integrated with GSM network based on the new psychometric model in education assessment. MUATS is not only a platform independent Adaptive Test System but also it eases the evaluation effort for adaptive test process. It further uses fuzzy logic to pick the most appropriate question from the pool of database for a specific user to be asked which makes the overall system an intelligent one.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
