非传统大学课堂环境下的智能辅导

Elizabeth Arnott-Hill, Peter M. Hastings, D. Allbritton
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引用次数: 2

摘要

研究方法导师(RMT)是一个基于网络的智能辅导系统,设计用于结合入门研究方法课程。在传统的大学环境中,RMT的平均学习收益比课堂教学高出0.75个标准差。然而,RMT项目的一个主要目标是为学生提供更多的辅导机会,而不需要传统的一对一的人工辅导。因此,我们在一所主要招收非传统学生的大学进一步测试了RMT的有效性。尽管我们再次发现了RMT有效性的证据,但传统环境和非传统环境之间出现了一些关键的结果差异,包括对教学代理和系统访问的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Tutoring in a Non-Traditional College Classroom Setting
Research Methods Tutor (RMT) is a web-based intelligent tutoring system designed for use in conjunction with introductory research methods courses. RMT has been shown to result in average learning gains of .75 SDs above classroom instruction in traditional college environments. However, a primary goal of the RMT project is to provide greater access to tutoring for students without access to traditional one-on-one human tutoring. Therefore, we further tested RMT's effec- tiveness at a university that enrolls primarily non-traditional students. Although we again found evidence of RMT's effec- tiveness, a few key outcome differences between traditional and non-traditional environments emerged, including percep- tions of the pedagogical agent and access to the system.
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