Collaborative Research: ArguLex - Applying Automated Analysis to a Learning Progression for Argumentation
协作研究:ArguLex - 将自动分析应用于论证的学习进程
基本信息
- 批准号:1561159
- 负责人:
- 金额:$ 45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Argumentation is fundamental to both science and science education. This perspective is reflected in the Next Generation Science Standards where argumentation is presented as one of eight fundamental science and engineering practices through which students learn both the core ideas of science and the crosscutting concepts of science. Argumentation, however, is not measured well using standard multiple choice items. An alternative that is well suited to measuring argumentation skills is the assessment of student written work; but this approach is both expensive and time consuming. This research project addresses this issue through research into using language technology to automate the scoring of student written work to assess their argumentation skills.This project applies lexical analysis and machine learning technologies to develop an efficient, valid, reliable and automated measure of middle school students' abilities to engage in scientific argumentation. The project will build upon prior work that developed high quality assessments for a learning progression for argumentation. However, these assessments are time and resource intensive to score. But when used with automated approaches, such assessments will allow measurement of argumentation to be taken to scale with rapid formative feedback, and will be an invaluable resource for STEM teachers, researchers, and teacher educators. The project brings together BSCS researchers who have experience measuring argumentation; Michigan State University's Automated Analysis of Constructed Response research group which provides expertise across a range of scientific disciplines refining analysis for formative educational purposes; Stanford University which provides expertise in learning progressions for argumentation in science; and Western Michigan University which serves as an external evaluator.
论证是科学和科学教育的基础。这一观点反映在《下一代科学标准》中,论证被作为八项基本科学和工程实践之一提出,学生通过这些实践学习科学的核心思想和交叉的科学概念。然而,使用标准的多项选择题并不能很好地衡量论证。另一种非常适合衡量辩论技能的方法是评估学生的书面作业;但这种方法既昂贵又耗时。本研究针对这一问题,研究了如何利用语言技术对学生的书面作业进行自动评分,以评估他们的论证能力。本项目应用词汇分析和机器学习技术,开发了一种高效、有效、可靠的中学生科学论证能力的自动化测量方法。该项目将建立在以前工作的基础上,这些工作为辩论的学习进程制定了高质量的评估。然而,这些评估需要耗费大量的时间和资源来评分。但当与自动化方法一起使用时,这种评估将允许通过快速的形成性反馈来衡量论证的规模,并将成为STEM教师、研究人员和教师教育工作者的宝贵资源。该项目汇集了具有衡量论证经验的BSC研究人员;密歇根州立大学的构造反应自动分析研究小组,提供了一系列科学学科的专业知识,为形成性教育目的精炼分析;斯坦福大学,提供专业知识,为科学论证学习进展;以及西密歇根大学,作为外部评估者。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Kevin Haudek其他文献
Utilizing Deep Learning AI to Analyze Scientific Models: Overcoming Challenges
- DOI:
10.1007/s10956-025-10217-0 - 发表时间:
2025-04-01 - 期刊:
- 影响因子:5.500
- 作者:
Tingting Li;Kevin Haudek;Joseph Krajcik - 通讯作者:
Joseph Krajcik
Employing automatic analysis tools aligned to learning progressions to assess knowledge application and support learning in STEM
- DOI:
10.1186/s40594-024-00516-0 - 发表时间:
2024-11-08 - 期刊:
- 影响因子:8.000
- 作者:
Leonora Kaldaras;Kevin Haudek;Joseph Krajcik - 通讯作者:
Joseph Krajcik
Kevin Haudek的其他文献
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{{ truncateString('Kevin Haudek', 18)}}的其他基金
Developing Open Response Assessments to Evaluate How Undergraduates Engage in Mathematical Sensemaking in Biology, Chemistry, and Physics
开发开放式反应评估来评估本科生如何参与生物学、化学和物理领域的数学意义建构
- 批准号:
2235487 - 财政年份:2023
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
Evaluating Effects of Automatic Feedback Aligned to a Learning Progression to Promote Knowledge-In-Use
评估与学习进度相一致的自动反馈对促进知识使用的效果
- 批准号:
2200757 - 财政年份:2022
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
Developing a Next Generation Concept Inventory to Help Environmental Programs Evaluate Student Knowledge of Complex Food-Energy-Water Systems
开发下一代概念清单,以帮助环境项目评估学生对复杂食物-能源-水系统的了解
- 批准号:
2013359 - 财政年份:2020
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
COLLABORATIVE RESEARCH: Learning Progressions on the Development of Principle-based Reasoning in Undergraduate Physiology (LeaP UP)
合作研究:本科生生理学中基于原理的推理发展的学习进展(LeaP UP)
- 批准号:
1660643 - 财政年份:2017
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
Collaborative Research: PCK*Lex: Applying Computerized Lexical Analysis to Develop a Cost-Effective Measure of Science Teacher Pedagogical Content Knowledge
合作研究:PCK*Lex:应用计算机词汇分析来开发科学教师教学内容知识的经济有效的衡量标准
- 批准号:
1438739 - 财政年份:2014
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
Collaborative Research: Expanding a National Network for Automated Analysis of Constructed Response Assessments to Reveal Student Thinking in STEM
合作研究:扩大构建反应评估自动分析的国家网络,以揭示学生在 STEM 中的思维
- 批准号:
1323162 - 财政年份:2013
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
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