SBIR Phase I: Adaptive Mobile Learning for STEM Education Using Massive Open Online Courses

SBIR 第一阶段：利用大规模开放在线课程进行 STEM 教育的自适应移动学习

• 批准号: 1314984
• 负责人: Nishikant Sonwalkar
• 金额: $ 15万
• 依托单位: EDWISETECH INC
• 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
• 起止时间: 2013-07-01 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1314984&HistoricalAwards=false
• 关键词: SBIR; Phase; Adaptive; Mobile; Learning

The innovation will introduce game-changing brain-based adaptive mobile learning technology to science, technology, engineering and math (STEM) education. The proprietary technology provides multiple learning pathways as well as cognitive behavior analytics to help learners reach maximum learning outcomes. The new technology utilizes a powerful Markovian statistical inference engine to stimulate, create and strengthen neural pathways to enhance the acquisition, retention, recall and application of knowledge. It is unique in integrating four dimensional aspects of learning -- multimedia, learning pedagogy, interactivity and social interaction, and addresses five learning strategies -- apprentice incidental, inductive, deductive and discovery. The platform collects click-stream data, allowing continuous learner assessment and dynamic re-rendering of content for real-time remediation. The data also provide the means for ongoing learner analytics for continuous course improvement. Learners participating in early trials of the adaptive learning technology achieved a high degree of competency and course completion. The project?s investigative focus will be on teaching undergraduate physics at a public university. The scalability of courses delivered via this technology and the potential to offer Massive Open Online Courses, combined with the application of knowledge gained from learner analytics, could revolutionize STEM education and greatly increase the flow of students in the STEM career pipeline. The broader/commercial impact of science, technology, engineering and technology (STEM) education delivered via adaptive mobile learning technology is tied to its ability to increase the number of STEM professionals. This will be promoted by increasing both the number of students taking STEM courses and the percentage of students successfully completing them. The innovative adaptive mobile learning technology is (1) flexible for adaptation to any curricula and for any student population, including remedial or advanced placement; (2) scalable, whether for one classroom or a Massive Open Online Course offered to tens of thousands of students; (3) portable, in that courses can be accessed anywhere, anytime, including by smart phone or tablet, with minimal technology requirements; (4) affordable, because post-secondary and secondary institutions can offer cloud-based courses without an investment in technology and technical support; and, above all, (5) effective, providing each student a personalized learning environment, an effective learning trajectory, and real-time remediation until competency is achieved. The project's Phase I focus is introductory physics. Additional STEM offerings will be developed and deployed as the project progresses, with near-term potential to develop 20 pre-college STEM Massive Open Online Courses reaching one million students a year.

这项创新将把改变游戏规则的基于大脑的自适应移动学习技术引入科学、技术、工程和数学(STEM)教育。这项专有技术提供了多种学习途径以及认知行为分析，帮助学习者达到最大的学习结果。这项新技术利用强大的马尔科夫统计推理引擎来刺激、创建和加强神经通路，以增强知识的获取、保留、回忆和应用。它在整合学习的四个方面--多媒体、学习教学法、互动性和社会互动--方面是独一无二的，并提出了五种学习策略--学徒附带、归纳、演绎和发现。该平台收集点击流数据，允许持续的学习者评估和动态重新呈现内容，以进行实时补救。这些数据还为学习者持续分析课程持续改进提供了手段。参加适应性学习技术早期试验的学习者获得了高度的能力和课程完成率。项目？S的调查重点将是在一所公立大学教授本科生物理。通过这项技术提供的课程的可扩展性，以及提供大规模在线开放课程的潜力，再加上从学习者分析中获得的知识的应用，可能会给STEM教育带来革命性的变化，并极大地增加STEM职业管道中的学生流量。通过自适应移动学习技术提供的科学、技术、工程和技术(STEM)教育的更广泛/商业影响取决于其增加STEM专业人员数量的能力。将通过增加参加STEM课程的学生人数和成功完成这些课程的学生百分比来促进这一点。创新的适应性移动学习技术具有(1)灵活的适应性，可适应任何课程和任何学生群体，包括补习性或高级学位；(2)可扩展，无论是针对一个教室还是面向数万名学生的大规模在线开放课程；(3)便携，因为课程可以随时随地访问，包括通过智能手机或平板电脑，只需最少的技术要求；(4)负担得起，因为大中专和中学机构可以提供基于云的课程，而不需要投资技术和技术支持；最重要的是，(5)有效，为每个学生提供个性化的学习环境、有效的学习轨迹和实时补救，直到达到能力为止。该项目的第一阶段重点是物理学入门。随着项目的进展，将开发和部署更多的STEM产品，近期有可能开发20门大学前STEM大规模在线开放课程，每年覆盖100万名学生。