SBIR Phase I: Developing a Novel Platform for Teaching Emotional Literacy

SBIR 第一阶段：开发情感素养教学的新型平台

• 批准号: 1913677
• 负责人: Ilya Lyashevsky
• 金额: $ 22.5万
• 依托单位: AFFECTIFI INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2020-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1913677&HistoricalAwards=false
• 关键词: SBIR; Phase; Developing; Novel; Platform

This SBIR Phase I project seeks to produce a first of its kind educational technology application for the development of emotional literacy among adolescent and adult learners. Emotional literacy is increasingly recognized as a universal need that is critical to one's academic and professional success and psychological health, as well as for society's cohesion and tolerance. At the same time, modern emotion science indicates that emotions operate on the basis of certain basic, universal principles, which represent the deep structure of our social and emotional life. The present application will focus on teaching these fundamental principles, encapsulated by a comprehensive emotion system model developed based on the latest scientific research. To foster deep learning, the training will emphasize inference-making and the use of simulations, while being grounded in high quality narrative such as literature and film. Training exercise generation will be partially automated to provide content variability. The project has the potential to have a broader impact on education practice and outcomes by leading to more robust, transferable, and measurable learning of social-emotional concepts and skills. It promises to make a further valuable societal contribution by offering an affordable, effective and engaging mobile solution for enhancing emotional literacy among the general population, helping to build a more aware, tolerant, just, and peaceful society. At the same time, the application has the potential to capture a significant portion of a combined $1.5 billion social-emotional learning and consumer emotional wellness market, resulting in a self-sustaining business generating jobs and significant income for tax revenue. The project entails a number of technical innovations, including: a data model and management system for the encoding of emotion episodes in literature and film; an emotion exercise generation engine for automating the creation of training exercises; an effective user interface for the presentation of emotion principles and the associated training exercises, particularly those involving emotion system simulation; and emotion knowledge performance analytics dashboard(s). The main goals of the proposed R&D include: assessing the viability of developing the emotion exercise generation engine and a production-ready version of the application; evaluating the benefits of the training for application users; and assessing the commercial viability of the product in the educational and consumer markets. The technical goals will be achieved through rapid, agile development using technologies such as python, a cross-platform mobile development framework such as React Native, and a graph database like Neo4J. Platform training benefits will be evaluated using randomized control studies at multiple stages of product development to allow for iteration and improvement. Commercial viability will be assessed through direct outreach to schools and other educational institutions, as well as a beta launch aimed at the consumer market.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个SBIR第一阶段项目旨在为青少年和成人学习者的情感素养发展提供第一个此类教育技术应用。人们越来越认识到，情感素养是一种普遍需要，对一个人的学术和职业成功、心理健康以及社会的凝聚力和宽容都至关重要。与此同时，现代情感科学表明，情感是在某些基本的、普遍的原则的基础上运作的，这些原则代表了我们社会和情感生活的深层结构。目前的应用将侧重于教授这些基本原则，并将其封装在基于最新科学研究开发的综合情感系统模型中。为了促进深度学习，培训将强调推理和模拟的使用，同时以高质量的叙事为基础，如文学和电影。训练练习生成将部分自动化，以提供内容可变性。该项目有可能对教育实践和结果产生更广泛的影响，导致对社会情感概念和技能的更强大、可转移和可衡量的学习。它承诺通过提供一种负担得起的、有效的、吸引人的移动解决方案，提高普通民众的情感素养，帮助建立一个更有意识、更宽容、更公正、更和平的社会，从而进一步做出有价值的社会贡献。与此同时，该应用程序有潜力在总计15亿美元的社交情绪学习和消费者情绪健康市场中占据相当大的份额，从而形成一个自我维持的企业，创造就业机会，并为税收带来可观的收入。该项目需要若干技术创新，包括：文学和电影情感片段编码的数据模型和管理系统；一种用于自动创建训练练习的情感练习生成引擎；一个有效的用户界面，用于展示情感原则和相关的训练练习，特别是那些涉及情感系统模拟的训练；以及情感知识绩效分析仪表板。拟议研发的主要目标包括：评估开发情感运动生成引擎的可行性和应用程序的生产就绪版本；评估培训对应用程序用户的好处；评估产品在教育和消费市场的商业可行性。技术目标将通过使用python、跨平台移动开发框架（如React Native）和图形数据库（如Neo4J）等技术进行快速、敏捷的开发来实现。平台培训的好处将在产品开发的多个阶段使用随机对照研究进行评估，以允许迭代和改进。商业可行性将通过与学校和其他教育机构的直接接触，以及针对消费者市场的测试版来评估。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。