玛莎·帕尔默和芭芭拉·迪·尤金尼奥采访玛莎·埃文斯

IF 3.7 2区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Computational Linguistics Pub Date : 2022-08-29 DOI:10.1162/coli_a_00453
Martha Evens
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引用次数: 6

摘要

策略和学生行为,包括面对面和电脑辅导课程之间的差异;教师暗示和类比的用法;发挥学生的主动性;还有一些基于领域的教学技巧,例如,在哪个层次的知识上进行教学。所有这些策略都被实施了,其中一些在仔细的实验中进行了评估。CIRCSIM-Tutor被证明可以产生显著的学习收益,并在实际课堂中使用,这更加引人注目,因为当时可用的NLP技术严重有限。欲了解更多详情,请参见Di Eugenio等。[3]
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Martha Palmer and Barbara Di Eugenio Interview Martha Evens
strategies and student behaviors, including differences between face-to-face and computer-mediated tutoring sessions; the usage of hinting and of analogies on the part of the tutor; taking initiative on the part of the students; and several domain-based teaching techniques, for example, at which level of knowledge to teach. All of these strategies were implemented, and several were evaluated in careful experiments. CIRCSIM-Tutor was shown to engender significant learning gains, and was used in actual classes, which is even more striking since the NLP technologies available at the time were severely limited. For further details, please see Di Eugenio et al. 3 ]
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来源期刊
Computational Linguistics
Computational Linguistics 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Computational Linguistics, the longest-running publication dedicated solely to the computational and mathematical aspects of language and the design of natural language processing systems, provides university and industry linguists, computational linguists, AI and machine learning researchers, cognitive scientists, speech specialists, and philosophers with the latest insights into the computational aspects of language research.
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