SBIR Phase I: An Instruction and Learning Analytics Platform to Improve Learning and Teaching in Science, Technology, Engineering, and Mathematics

这个SBIR第一阶段项目提出开发一种新的诊断算法和方法，用于在多步骤问题解决问题中获得详细的学习者反馈。这种反馈对于导出学习模式、识别有风险的学习者、评估知识掌握程度、告知学生和教师学到了什么、需要学什么、在哪里以及如何犯了错误至关重要。它告诉老师学生知道什么，不知道什么。不知道。由提议的原型收集的丰富数据将促进同伴卓越标准和学生自我调节学习，为教学实践提供信息，修改课程，并为教育管理者提供信息。该项目旨在满足教育系统对个性化学习体验、循证学习和数据的需求，以提高教学效率和效果。对产品的诊断性评估将帮助教育工作者了解学习者掌握关键科学、技术、工程和数学技能的程度，以确定需要改进的具体领域，以及学习者掌握的领域。该提议的更广泛/商业影响是实时的学生反馈和随后的数据分析，以有效地改变科学，技术，工程和数学教育。它提供了一种形成性的、低成本的技术产品，可以帮助教师个性化和实时修改课程，并提高21世纪职业生涯所需的逐步解决问题的技能。这将有助于美国在全球市场上有效竞争。深入的学习者数据库为学校管理者和教育决策者提供了改善学生表现和教学实践所需的变化，并符合最近采用的共同核心州标准。跨多个层次的数据挖掘——从单个问题到学校到地区到州和国际——允许学校管理者比较美国和国外的表现。该项目允许发现知识差距，同时加强所有教育环境中的教、学和培训。

This SBIR Phase I project proposes to develop a novel diagnostic algorithm and methodology for obtaining detailed learner feedback in multi-step problem solving questions. This feedback is fundamental to derive learning patterns, identify at-risk learners, assess knowledge mastery, and inform both students and teachers about what was learned, what needs to be learned, and where and how mistakes were made. It informs the teacher what the students know and don?t know. The wealth of data collected by the proposed prototype will promote peer standards of excellence and student self-regulated learning, inform teaching practice, revise curricula, and inform educational administrators. This project is responding to a need in the educational system for personalized learning experiences for every learner, evidence-centered learning, and data that will improve teaching efficiency and effectiveness. The diagnostic assessment of the product will help educators understand the extent to which learners have mastered critical Science, Technology, Engineering, and Mathematics skills to identify specific areas in which improvement is needed and in which areas learners have mastered. The broader/commercial impact of this proposal is the real-time student feedback and the subsequent analysis of that data to efficiently transform Science, Technology, Engineering, and Mathematics education. It provides a formative, low cost technology product that can help teachers personalize and revise curriculum in real-time and promote step-by-step problem solving skills required for 21st century careers. This will help the U.S compete effectively in the global market. The in-depth learner database informs school administrators and education policymakers on changes required to improve student performances and teaching practice, and compliance with recently adopted common core state standards. Data mining across multiple levels - from single problem to school to district to state and internationally - allows school administrators to compare performances within the U.S. and abroad. This project allows for the discovery of knowledge gaps while enhancing teaching, learning and training in all educational settings.