关于作者

IF 5.1 Q1 POLYMER SCIENCE
Reginald Wilson
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引用次数: 318

摘要

Art Graesser是孟菲斯大学心理学系和智能系统研究所的教授,也是牛津大学的荣誉研究员。主要研究方向为认知科学、语篇处理和学习科学。更具体的兴趣包括知识表示、提问和回答、辅导、文本理解、对话、情感、人工智能和计算语言学。曾任《话语过程》(1996-2005)和《教育心理学杂志》(2009-2014)主编。他曾担任文学、艺术和媒体实证研究协会主席(1989-1992),文本与话语协会主席(2007-2010),国际人工智能教育协会主席(2007-2009),行为与脑科学基金会协会联合会主席(2012-2013)。他和他的同事已经开发并测试了学习、语言和话语技术方面的软件,包括那些用自然语言进行对话并与多媒体交互的软件(如AutoTutor),以及那些在多个语言和话语层面上分析文本的软件(oh- metrix和QUAID)。他曾在经济合作与发展组织(OECD)的四个问题解决专家小组任职,包括担任2015年国际学生评估(PISA)合作问题解决计划的主席。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
About the Authors
Art Graesser is a Professor in the Department of Psychology and the Institute of Intelligent Systems at the University of Memphis as well as an Honorary Research Fellow at the University of Oxford. His primary research interests are in cognitive science, discourse processing, and the learning sciences. More specific interests include knowledge representation, question asking and answering, tutoring, text comprehension, conversation, emotions, artificial intelligence, and computational linguistics. He served as editor of the journals Discourse Processes (1996–2005) and Journal of Educational Psychology (2009–2014). His service in professional societies includes having been president of the Empirical Studies of Literature, Art, and Media (1989–1992), the Society for Text and Discourse (2007–2010), the International Society for Artificial Intelligence in Education (2007–2009), and the Federation of Associations in the Behavioral and Brain Sciences Foundation (2012–2013). He and his colleagues have developed and tested software in learning, language, and discourse technologies, including those that hold a conversation in natural language and interact with multimedia (such as AutoTutor) and those that analyze text on multiple levels of language and discourse (Coh-Metrix and QUAID). He has served on four Organisation for Economic Co-operation and Development (OECD) expert panels on problem solving, including acting as chair of the Programme for International Student Assessment (PISA) 2015 Collaborative Problem Solving.
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来源期刊
CiteScore
10.40
自引率
3.40%
发文量
209
审稿时长
1 months
期刊介绍: ACS Macro Letters publishes research in all areas of contemporary soft matter science in which macromolecules play a key role, including nanotechnology, self-assembly, supramolecular chemistry, biomaterials, energy generation and storage, and renewable/sustainable materials. Submissions to ACS Macro Letters should justify clearly the rapid disclosure of the key elements of the study. The scope of the journal includes high-impact research of broad interest in all areas of polymer science and engineering, including cross-disciplinary research that interfaces with polymer science. With the launch of ACS Macro Letters, all Communications that were formerly published in Macromolecules and Biomacromolecules will be published as Letters in ACS Macro Letters.
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