MATH: EAGER: Online Collaborative Problem Solving in Remedial College Mathematics

数学:EAGER:补习大学数学中的在线协作问题解决

基本信息

  • 批准号:
    1543986
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-15 至 2017-08-31
  • 项目状态:
    已结题

项目摘要

This is a study of the impact of the learning environment on undergraduate students learning problem-solving in remedial pre-calculus mathematics. The study will examine the comparative effectiveness of face-to-face discussion groups and 2 different types of online designs, compared to individual practice. Students will be randomly assigned to one of four groups: three treatment groups that carry out collaborative problem solving using (1) face-to-face discussion, (2) an audio capability with a whiteboard online tool, or (3) an online virtual environment combining audio plus whiteboard plus avatar-based interaction; or a control group of individual problem solving. Currently, pre-calculus instruction is been carried out online in this university using the web-based ALEKS tutorial software, an online interactive learning system that uses an artificial intelligence algorithm to assess and report student mastery of content material. In search of improved student performance, this project is conducting an early in-depth study of the effectiveness of a richer online design for learning problem solving that was recently constructed for management courses, called VirBELA (Virtual Business Education Leadership Assessment). It is a learning platform that offers students the opportunity to work in teams. In mathematics, VirBELA has good potential for facilitating group problem-solving. It provides a whiteboard that allows students to draw diagrams and functions as needed and also provides an audio capability for discussion. It has the added feature of giving students a virtual online embodiment by creating an avatar for each student. There is evidence from other sources that avatars create a richer, more interactive and engaging online collaborative environment that more closely replicates the advantages of in-person communication. A wide range of data will be collected and assessed, including usage logs of the tutorial learning software, common final exam scores in both pre-calculus and calculus, and individual institutional data. Other outcome variables will include how students perform on the problem solving, how they use the tutorial-based mathematics software before and after problem solving sessions, and whether they persist to the next calculus course, what grades they earn in the following calculus course, and how their attitudes toward STEM study change based on pre- and post-surveys. The study will be repeated in three different quarters.
这是一项关于学习环境对本科生在补救性微积分预科数学中学习解决问题的影响的研究。该研究将研究面对面的讨论小组和2种不同类型的在线设计的比较有效性,与个人实践相比。学生将被随机分配到四个组中的一个:三个治疗组,使用(1)面对面讨论,(2)白板在线工具的音频功能,或(3)结合音频+白板+基于化身的交互的在线虚拟环境进行协作解决问题;或个人解决问题的控制组。目前,微积分前的教学是在这所大学使用基于网络的ALEKS教程软件,在线互动学习系统,使用人工智能算法来评估和报告学生掌握的内容材料进行在线。为了提高学生的表现,该项目正在进行一项早期的深入研究,研究最近为管理课程构建的更丰富的在线学习问题解决设计的有效性,称为VirBELA(虚拟商业教育领导力评估)。这是一个学习平台,为学生提供团队合作的机会。在数学方面,VirBELA具有促进群体解决问题的良好潜力。它提供了一个白板,允许学生根据需要绘制图表和函数,还提供了讨论的音频功能。它还增加了一个功能,通过为每个学生创建一个化身,为学生提供一个虚拟的在线化身。来自其他来源的证据表明,化身创造了一个更丰富,更具互动性和吸引力的在线协作环境,更紧密地复制了面对面交流的优势。广泛的数据将被收集和评估,包括教程学习软件的使用日志,共同的期末考试成绩在两个微积分前和微积分,以及个人机构的数据。其他结果变量将包括学生如何解决问题,他们如何在解决问题之前和之后使用基于辅导的数学软件,以及他们是否坚持到下一个微积分课程,他们在下一个微积分课程中获得的成绩,以及他们对STEM学习的态度如何根据前后调查变化。该研究将在三个不同的季度重复进行。

项目成果

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Mark Warschauer其他文献

The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes
The affordances and contradictions of AI-generated text for writers of english as a second or foreign language
对于作为第二语言或外语的英语作家来说,人工智能生成文本的可供性和矛盾之处
  • DOI:
    10.1016/j.jslw.2023.101071
  • 发表时间:
    2023-12-01
  • 期刊:
  • 影响因子:
    4.500
  • 作者:
    Mark Warschauer;Waverly Tseng;Soobin Yim;Thomas Webster;Sharin Jacob;Qian Du;Tamara Tate
  • 通讯作者:
    Tamara Tate
Can AI provide useful holistic essay scoring?
  • DOI:
    10.1016/j.caeai.2024.100255
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tamara P. Tate;Jacob Steiss;Drew Bailey;Steve Graham;Youngsun Moon;Daniel Ritchie;Waverly Tseng;Mark Warschauer
  • 通讯作者:
    Mark Warschauer
Broadening our concepts of universal access
  • DOI:
    10.1007/s10209-015-0417-0
  • 发表时间:
    2015-06-06
  • 期刊:
  • 影响因子:
    2.700
  • 作者:
    Mark Warschauer;Veronica Ahumada Newhart
  • 通讯作者:
    Veronica Ahumada Newhart
Data on NAEP 2011 writing assessment prior computer use
  • DOI:
    10.1016/j.dib.2016.07.002
  • 发表时间:
    2016-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tamara P. Tate;Mark Warschauer;Jamal Abedi
  • 通讯作者:
    Jamal Abedi

Mark Warschauer的其他文献

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{{ truncateString('Mark Warschauer', 18)}}的其他基金

Deepening Computational Thinking for English Learners by Integrating Community-Based Environmental Literacy
通过整合社区环境素养加深英语学习者的计算思维
  • 批准号:
    2317832
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Developing Conversational Videos to Support Children's STEM Learning and Engagement
开发对话视频以支持儿童的 STEM 学习和参与
  • 批准号:
    2115382
  • 财政年份:
    2021
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Collaborative Network of Grades 3-5 Educators for Computational Thinking for English Learners
3-5 年级英语学习者计算思维教育工作者协作网络
  • 批准号:
    1923136
  • 财政年份:
    2019
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Using Conversational Agents to Foster Preschool Children's Science Learning and Engagement from Interactive Science Videos
使用对话代理促进学龄前儿童的科学学习和互动科学视频的参与
  • 批准号:
    1906321
  • 财政年份:
    2019
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Investigating Virtual Learning Environments
调查虚拟学习环境
  • 批准号:
    1535300
  • 财政年份:
    2015
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
WIDER: EAGER: Documenting Instructional Practices in STEM Lecture Courses
更广泛:EAGER:记录 STEM 讲座课程中的教学实践
  • 批准号:
    1256500
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
NSF RAPID: Interactive Science and Technology Instruction for English Learners
NSF RAPID:针对英语学习者的互动科学技术教学
  • 批准号:
    1053767
  • 财政年份:
    2010
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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EAGER:构建可证明的差分隐私实时数据盲机器学习算法:关于增强 STEM 学生在线学习参与度的案例研究
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  • 批准号:
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  • 批准号:
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EAGER: Reducing the Digital Divide: Researching the Impacts and Opportunities of Rapid Transition to Online and Distance Learning for STEM Programming in a Tribal College Setting
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Collaborative Research: EAGER--Condensed Matrix Assisted Laser Desorption Ionization (cMALDI) Towards Online Detection of Viral Nucleic Acids and Proteins in Aerosols
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    $ 30万
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