ROLE: Contextual Vocabulary Acquisition: Development of a Computational Theory and Educational Curriculum

许多科学和数学概念是在阅读科学教科书和通俗科学著作的背景下学习的。本研究将探讨如何从语篇语境中提取词义。它旨在理解从文本中提取概念意义的过程。研究小组试图(A)扩展和开发计算语境词汇习得(CVA)的算法(即，从语境中学习)；(B)统一心理学和其他领域关于计算语境词汇习得的不同文献；以及(C)使用从计算语境词汇习得系统获得的知识来探索其对教育课程和学习的影响。从学生使用CVA技术的案例研究中获得的知识将反馈到计算理论的进一步发展中。本项目属于象限2(关于人类学习的行为、认知、情感和社会方面的基础研究)和象限3(关于正规和非正规教育环境中的自我学习的研究)。

Many concepts in science and mathematics are learned in the context of reading scientific textbooks and popular writings on science. This study will investigate how the meanings of words are extracted from the context of text. It is aimed at understanding the process in which concept meanings are extracted from text. The research team seeks to (a) extend and develop algorithms for computational contextual vocabulary acquisition (CVA) (i.e., learning from context); (b) to unify a disparate literature on the topic of CVA from psychology and other fields, and (c) to use the knowledge gained from the computational CVA system to explore its implications for educational curriculum and learning. The knowledge gained from case studies of students using the CVA techniques will feed back into further development of computational theory. This project falls within Quadrant 2 (fundamental research on behavioral, cognitive, affective and social aspects of human learning) and Quadrant 3 (research on SMET learning in formal and informal educational settings).