EXP: Collaborative Research: Cyber-enabled Teacher Discourse Analytics to Empower Teacher Learning

EXP：协作研究：基于网络的教师话语分析，增强教师学习能力

• 批准号: 1735785
• 负责人: Sean Kelly
• 金额: $ 23.69万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1735785&HistoricalAwards=false
• 关键词: EXP; Collaborative; Research; Cyber; enabled

This project will use multiple sources of middle school classroom data to give feedback and assessment information to teachers so that their teaching ability is enhanced. The data includes anonymized student performance data (grades and standardized test results) and anonymized existing audio recordings of classroom discussions between students and teachers. The audio data will be used to analyze the student-teacher discussions for effectiveness of the student-teacher discussions in student learning. As the effectiveness measures are developed, feedback for instructional improvement will be provided to the teachers in a design cycle for continuous improvement. The technological innovations are in the analysis of the student-teacher discussions, in natural language understanding of student-teacher discussions, and in machine learning to classify effective from non-effective student-teacher discussions.This project will advance cyber-enabled, teacher analytics as a new genre of technology that provides automated feedback on teacher performance with the goal of improving teaching effectiveness and student achievement. The exemplary implementation will autonomously analyze audio from real-world English and language arts classes for indicators of effective discourse to enable a new paradigm of datadriven reflective practice. The project emphasizes six theoretical dimensions of discourse linked to student achievement growth: goal clarity, disciplinary concepts, and strategy use for teacher-led discourse, and challenge, connection, and elaborated feedback for transactional discourse. The innovation aims to help teachers develop expertise on these dimensions and will be developed and tested in 9th grade classrooms in Western Pennsylvania. The team will first generate initial insights on how teacher discourse predicts student achievement via a re-analysis of large volumes (128 hours) of existing classroom audio. Next, they will design and iteratively refine hardware/software interfaces for efficient,flexible, scalable audio data collection by teachers. The data will be used to computationally model dimensions of effective discourse by combining linguistic, discursive, acoustic, and contextual analysis of audio with supervised and semi-supervised deep recurrent neural networks. The model-based estimates will be incorporated into an interactive analytic/visualization platform to promote data-driven reflective practice. After refinement via design studies, the impact of the innovation on instructional improvement and student literacy outcomes will be evaluated in a randomized control trial. Finally, generalizable insights will be identified at every stage of the project to promote transferability to future cyber-enabled, teacher-analytics technologies.

该项目将使用多种中学课堂数据来源，向教师提供反馈和评估信息，以增强他们的教学能力。数据包括匿名学生绩效数据（成绩和标准化的测试结果）以及学生与教师之间的课堂讨论的匿名录音。音频数据将用于分析学生教师讨论在学生学习中的有效性。随着有效性措施的制定，将在设计周期中向教师提供教学改进的反馈，以持续改进。技术创新是在分析学生教师讨论，对学生教师讨论的自然语言理解以及机器学习中的自然语言理解，以从非有效的学生老师讨论中进行有效分类。该项目将提高网络支持的教师分析，作为一种新的技术类型，以提高教师的自动反馈，以提高教师的绩效和提高教学能力和学生的能力。模范实施将自主分析现实世界中英语和语言艺术课程的音频，以有效话语指标，以实现DatAdriven的反思性实践的新范式。该项目强调了与学生成就增长相关的话语的六个理论维度：目标清晰，纪律概念和策略使用教师主导的话语，以及挑战，联系和详细的交易反馈反馈。该创新旨在帮助教师在这些维度上发展专业知识，并将在宾夕法尼亚州西部的9年级教室进行开发和测试。该团队将首先对教师话语如何通过重新分析大量（128小时）现有课堂音频来预测学生成就的初步见解。接下来，他们将设计和迭代地完善硬件/软件界面，以提供教师的高效，灵活，可扩展的音频数据收集。这些数据将用于通过将音频的语言，话语，声学和上下文分析与受监督和半监督的深层复发性神经网络相结合，以计算有效话语的尺寸。基于模型的估计将被纳入交互式分析/可视化平台，以促进数据驱动的反思性实践。通过设计研究进行了完善之后，将在一项随机对照试验中评估创新对教学改进和学生素养成果的影响。最后，将在项目的每个阶段都能确定可推广的见解，以促进向未来网络支持的教师分析技术的转移性。

项目成果

Tensions in learning to teach English

学习英语教学的压力

• DOI: 10.1108/etpc-04-2017-0039
• 发表时间: 2018
• 期刊: English Teaching: Practice & Critique
• 作者: Dunn, Mandie B.;VanDerHeide, Jennifer;Caughlan, Samantha;Northrop, Laura;Zhang, Yuan;Kelly, Sean
• 通讯作者: Kelly, Sean

Matching Students to Books: The Cultural Content of Eighth-Grade Literature Assignments

学生与书籍的匹配：八年级文学作业的文化内容

• DOI: 10.1086/705797
• 发表时间: 2019
• 期刊: The Elementary School Journal
• 作者: Northrop, Laura;Borsheim-Black, Carlin;Kelly, Sean
• 通讯作者: Kelly, Sean

Who Gets to Read What? Tracking, Instructional Practices, and Text Complexity for Middle School Struggling Readers

谁可以读什么？

• DOI: 10.1002/rrq.237
• 发表时间: 2018
• 期刊: Reading Research Quarterly
• 影响因子: 4.2
• 作者: Northrop, Laura;Kelly, Sean
• 通讯作者: Kelly, Sean

English and Language Arts Teachers’ Perspectives on Schooling: Initial Exposure to a Teacher Education Curriculum

英语和语言艺术教师对学校教育的看法：初步接触教师教育课程

• 发表时间: 2018
• 期刊: Teacher education quarterly
• 作者: Sean Kelly, Yuan Zhang

Using global observation protocols to inform research on teaching effectiveness and school improvement: Strengths and emerging limitations

使用全球观察协议为教学效果和学校改进研究提供信息：优势和新出现的局限性

• DOI: 10.14507/epaa.28.5012
• 发表时间: 2020
• 期刊: education policy analysis archives
• 影响因子: 0.4
• 作者: Kelly, Sean;Bringe, Robert;Aucejo, Esteban;Cooley Fruehwirth, Jane
• 通讯作者: Cooley Fruehwirth, Jane