PFI:AIR - TT: Games Programming Assessments for Personalized Mathematics Instruction

PFI:AIR - TT：个性化数学教学的游戏编程评估

• 批准号: 1414404
• 负责人: Yu-Han Chang
• 金额: $ 20万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-15 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1414404&HistoricalAwards=false
• 关键词: PFI; AIR; TT; Games; Programming

This PFI: AIR Technology Translation project focuses on translating digital games programming assessment technology to fill the need for improving K-12 mathematics education. The project will result in a prototype of an online mathematics curriculum wherein students apply learned math concepts to create digital games as an authentic transfer of learning. This game-making-based instructional innovation, GameMath, has the following unique features: a) It is game-activity driven, i.e., math concepts necessary to achieve gaming effects are taught/applied together, b) it incorporates diagnostic/prescriptive software so that it addresses even deeply At-Risk students, and c) it collects/analyzes student programming interactions within the game-making context for the purpose of assessing a student?s ability to transfer principles of mathematics.These features provide the following advantages: They encourage practice/application of STEM skills mandated in new Common Core State Standards (CCSS) and Next Generation Science Standards, they engage students with the creative process and introduce game coding, and they address the unique needs of At-Risk students to help them recover to grade level proficiency and encourage them to continue studies in the STEM disciplines. When compared to the leading competing technologies in this market space, including games that teach math, math tutoring systems, and hands-on engineering activities, GameMath encourages production, as opposed to consumption, of games and promises to be less expensive and easier to assess than robotics and other engineering based approaches to mathematics instruction.The GameMath prototype is important because the focus of the product will be to promote academic achievement in secondary mathematics. As fully envisioned, the system will support a wide range of pre-algebra and algebra lesson plans based on the Common Core State Standards. Student exploration and manipulation of math concepts within a computer-games-programming environment has the potential to lead to greater interest in computer science.The project engages computer science researchers at the University of Southern California (USC), CA, and education product specialists at N C Learning (NCL), NJ, who will collaborate to combine two technologies, both of which have been shown to improve mathematics learning for At-Risk students, to demonstrate and evaluate a prototype in this technology translation effort from research discovery toward commercial reality.This project addresses the following technology gap(s) as it translates from research discovery toward commercial application: 1) Custom CCSS Grade Level Lesson Paths that Support GameMath activities, 2) Creation of game programming activities that apply CCSS grade level mathematics concepts, 3) Games programming assessments to evaluate activity-based learning , 4) Custom reporting that incorporates GameMath assessments into existing diagnostics, and 5) Run-time architecture-level integration. These gaps will be bridged via a new advance==apply ==assess concept pipeline that combines USC and NCL technologies.The potential economic impact is expected to be greater student preparedness for and interest in pursuing careers in technology and engineering in the next 5 to 10 years, which will contribute to the U.S. competitiveness in engineering and technology based industries.

这个PFI: AIR技术翻译项目的重点是翻译数字游戏编程评估技术，以满足提高K-12数学教育的需求。该项目将产生一个在线数学课程的原型，其中学生应用所学的数学概念来创建数字游戏，作为学习的真实转移。这种基于游戏制作的教学创新，GameMath，具有以下独特功能：a)它是游戏活动驱动的，即实现游戏效果所必需的数学概念被教授/应用在一起；b)它结合了诊断/规范软件，因此它甚至可以解决深度风险的学生；c)它收集/分析学生在游戏制作背景下的编程互动，以评估学生？传授数学原理的能力。这些功能提供了以下优势：它们鼓励新的共同核心州标准（CCSS）和下一代科学标准中规定的STEM技能的实践/应用，它们使学生参与创造性过程并引入游戏编码，它们解决了高危学生的独特需求，帮助他们恢复到年级水平的熟练程度，并鼓励他们继续学习STEM学科。与这一市场领域的领先竞争技术（包括教授数学的游戏、数学辅导系统和动手工程活动）相比，GameMath鼓励游戏的生产，而不是消费，并承诺比机器人和其他基于工程的数学教学方法更便宜，更容易评估。GameMath原型很重要，因为该产品的重点是促进中学数学的学术成就。正如所设想的那样，该系统将支持基于共同核心州标准的广泛的预代数和代数课程计划。学生在计算机游戏编程环境中对数学概念的探索和操作有可能导致对计算机科学产生更大的兴趣。该项目由南加州大学（USC）的计算机科学研究人员和新泽西州nc Learning （NCL）的教育产品专家参与，他们将合作将两种技术结合起来，这两种技术都已被证明可以改善高危学生的数学学习，以演示和评估这项技术从研究发现到商业现实的转化工作的原型。从研究发现到商业应用，该项目解决了以下技术差距：1)支持GameMath活动的自定义CCSS年级课程路径，2)创建应用CCSS年级数学概念的游戏编程活动，3)评估基于活动的学习的游戏编程评估，4)将GameMath评估纳入现有诊断的自定义报告，5)运行时架构级集成。这些差距将通过结合USC和NCL技术的新的advance==apply == evaluate概念管道弥合。预计潜在的经济影响将在未来5到10年内提高学生对从事技术和工程职业的准备和兴趣，这将有助于美国在工程和技术基础行业的竞争力。