课题基金 / 基金详情

EXP: Learning Lens: An Evidence-Centered Tool for 21st Century Assessment

EXP: Learning Lens: An Evidence-Centered Tool for 21st Century Assessment
EXP:学习镜头:21 世纪评估的以证据为中心的工具
批准号:
1321145
负责人:
Lucien Vattel
金额:
$34.97万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2015-09-30

项目摘要

项目成果

Lucien Vattel的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
In this Cyberlearning: Transforming Education EXP project, a collaborative team of assessment specialists, learning scientists, K12 educators, educational technologisst, and informal science educators are exploring the design and feasibility of a tool called the Learning Lens, a mobile multi-media tool for gathering data in the midst of learning activities that can shed light on learners' capabilities and understanding and the interactions between learners and educators. The system's design is informed by ideas of evidence-based assessment; it is designed to allow a user to collect the kinds of data that can be used to support arguments about what learners understand and are capable of, including formal products of learners, their presentations or explanations, discussions among peers, and interactions with people and objects in the learning environment.Such a tool could play important roles in the the education of education practitioners. Pre-service and in-service teachers might gather data sporadically in their classrooms to use in discussions with others about their practice. Or, those observing educators in practice might gather data to be used later in reflecting on educational practices. As well, such a tool holds promise for enhancing assessment. While paper-and-pencil testing can be used to assess understanding and some disciplinary skills, it is quite a bit more challenging to objectively assess complex social, communication, reasoning, and meta-cognitive skills. The Learning Lens is being developed to promote evidence-based analysis of such skills. With the tool, researchers or teacher observers or teachers themselves would collect data showing what learners understand or can do. Such data capture holds promise for allowing educators and researchers to iteratively and collaboratively document learner development, develop assessment rubrics, track students' real-time growth in situ, and identify outcomes of pedagogical moves and tactics.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
GeoMoto: An Embodied Learning Approach to Geoscience Education
  • 批准号:
    1203090
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.99万
  • 财政年份:
    2012
  • 负责人:
    Lucien Vattel
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: