Using Artificial Intelligence to Generate Interventions for Enhancing Student Performance in College STEM Courses

使用人工智能生成干预措施以提高学生在大学 STEM 课程中的表现

• 批准号: 2142558
• 负责人: Mohammad Hasan
• 金额: $ 59.99万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2142558&HistoricalAwards=false
• 关键词: Using; Artificial; Intelligence; Generate; Interventions

This project aims to serve the national interest by designing, developing, and evaluating a novel platform to improve academic performance in undergraduate STEM courses. The “Messages from A Future You” (MFAFY) application will send students just-in-time messages via a smartphone to create a coaching relationship with a future self or other student-selected avatar. The timing and content of these messages will be automatically generated using artificial intelligence based on student scores, attitudes, behaviors, and social interactions. Students who face academic difficulties, and are hesitant to take advantage of formal advising, will benefit from this personalized delivery system. The MFAFY system will contribute to a strong STEM workforce by increasing retention rates, and by improving both the number and quality of STEM degree students. The data collected by the application will add to understanding of the types of experiences faced by undergraduate students. This project will synthesize data on socio-economic factors, science identity, in-course assessments, and fine-grained multidimensional measures of daily attitudes, behaviors, and social interactions. Data will be collected using the ODIN app which prompts students based on rules referencing time/date, location (GPS), and social interaction (Bluetooth). Data will be clustered to discover a typology of student “stories” (experiential trajectories). Counselors will customize messages for each story type, over the semester. The MFAFY app will incorporate machine learning models which forecast story type, together with these messages. MFAFY will be evaluated via a randomized controlled effectiveness trial. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.

该项目旨在通过设计，开发和评估一个新颖的平台来提高本科课程中的学术表现，以为国家利益提供服务。 “您未来的消息”（MFAFY）应用程序将通过智能手机向学生发送出色的消息，以与未来的自我或其他学生选择的头像建立教练关系。这些消息的时机和内容将根据学生的分数，与会者，行为和社交互动自动生成。面临学术困难并犹豫要利用正式咨询的学生将从这个个性化的交付系统中受益。 MFAFY系统将通过提高保留率和提高STEM学位学生的数量和质量来为强大的STEM劳动力做出贡献。应用程序收集的数据将增加对本科生面临的经验类型的理解。该项目将综合有关社会经济因素，科学身份，课内评估以及日常出勤，行为和社会互动的精细元素多维衡量的数据。将使用ODIN应用程序收集数据，该应用程序根据参考时间/日期，位置（GPS）和社交互动（蓝牙）的规则提示学生。数据将聚集以发现学生“故事”（体验轨迹）的类型。辅导员将在整个学期中自定义每种故事类型的消息。 MFAFY应用程序将结合机器学习模型，这些模型预测故事类型以及这些消息。 MFAFY将通过随机控制有效性试验进行评估。 NSF IUSE：EHR计划支持研发项目，以提高所有学生STEM教育的有效性。通过参与的学生学习轨道，该计划支持了承诺实践和工具的创建，探索和实施。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估审查标准，被认为是珍贵的支持。

项目成果

The Power of Personalization and Contextualization: Early Student Performance Forecasting with Language Models

个性化和情境化的力量：使用语言模型预测早期学生表现

• 发表时间: 2023
• 期刊: The 2023 NeurIPS (Neural Information Processing Systems
• 作者: Hayat, Ahatsham;Hasan, Mohammad R.
• 通讯作者: Hasan, Mohammad R.

A Trajectory-Clustering Framework for Assessing AI-Based Adaptive Interventions in Undergraduate STEM Learning

用于评估本科生 STEM 学习中基于人工智能的自适应干预的轨迹聚类框架

• 发表时间: 2023
• 期刊: 2023 ASEE Annual Conference & Exposition
• 作者: Hasan, Mohammad R.;Khan, Bilal
• 通讯作者: Khan, Bilal