Models of Learning with a Computational Medium

使用计算媒介的学习模型

• 批准号: 8850363
• 负责人: Andrea diSessa
• 金额: $ 104.6万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-08-01 至 1992-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8850363&HistoricalAwards=false
• 关键词: Models; Learning; Computational; Medium

This project explores, develops and tests the educational possibilities of using an integrated, multi-functional computational medium that includes full programming capability. Boxer defines a high-powered work station environment for the personal and professional use of children, teachers, and curriculum developers of the 1990s. In a previous NSF grant, we established the scientific basis for such a system in a principled design, and we established the technological basis in a field-deployable implementation. Models of new kinds of educational practice in school settings that are made possible by such a medium, will be developed and tested. These models will highlight the new and special characteristics of Boxer that promise important changes in the ordering, content and form of school science. In particular, it will be demonstrated that Boxer is transparent, allowing students and teachers to get more quickly through the technical aspects of the system to basic mathematical and scientific learning, and that Boxer provides dramatic synergy in allowing easy combining of the various aspects of the system (text editing, data base capabilities, etc.), most particularly, synergy between programming and learning scientific principles. Two new generalizable models of educational practice based on the use of a computational medium will be built. The first will teach about motion by developing a product-oriented community practice in the classroom. That practice will grow out of a carefully designed and integrated set of exercise microworlds, and its effectiveness in promoting deep conceptual change will be assessed by the capability of students to learn more on completion of the course. The second model will teach topics in fact-intensive sciences like biology by using the medium to display the hidden structure of knowledge in the domain, and by supporting learning and problem solving activities specifically appropriate to such domains.

该项目探索、开发和测试使用包含完整编程功能的集成多功能计算介质的教育可能性。 Boxer 为 20 世纪 90 年代的儿童、教师和课程开发人员的个人和专业用途定义了一个高性能的工作站环境。 在之前的 NSF 拨款中，我们在原则性设计中为此类系统建立了科学基础，并在可现场部署的实施中建立了技术基础。 通过这种媒介，学校环境中新型教育实践的模式将得到开发和测试。 这些模型将突出 Boxer 的新的特殊特征，从而保证学校科学的顺序、内容和形式发生重大变化。 特别是，将证明 Boxer 是透明的，允许学生和教师更快地通过系统的技术方面进行基础数学和科学学习，并且 Boxer 提供了戏剧性的协同作用，可以轻松组合系统的各个方面。系统（文本编辑、数据库功能等），尤其是编程和学习科学原理之间的协同作用。 将建立两个基于计算介质使用的新的可推广的教育实践模型。 第一个将通过在课堂上开发以产品为导向的社区实践来教授运动。 这种实践将源自一套精心设计和集成的练习微世界，其促进深层概念变革的有效性将通过学生在完成课程后学习更多知识的能力来评估。 第二种模型将通过使用媒介来展示该领域隐藏的知识结构，并支持特别适合这些领域的学习和问题解决活动，来教授生物学等事实密集型科学的主题。