Understanding the Development of Interest in Computer Science: An Experience Sampling Approach

了解计算机科学兴趣的发展：经验抽样方法

• 批准号: 1937700
• 负责人: Joshua Rosenberg
• 金额: $ 34.67万
• 依托单位: University of Tennessee Knoxville
• 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: 2019-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1937700&HistoricalAwards=false
• 关键词: Understanding; Development; Interest; Computer; Science

This project explores STEM interest development at the undergraduate level in computer science. It is a study of national importance that will focus on substantial differences in who pursues an interest, a major, or an occupation in computer science. The pilot study will look at what drives these differences at a level where policymakers and educators seeking to support and sustain a more representative population of computer science experts can most effectively act. To address this problem, the project will conduct a pilot study that articulates a fundamental research project appropriate for the ECR program using the experience sampling method (ESM). In order to meet the ECR threshold for research, the investigator will enlist mentors and advisory board members with expertise using this methodology to help identify experiences, expertise, and competencies the investigator will need to develop during the two-year project period. Building on advice of these experts, the investigator will receive assistance in study design, research methods, and data analysis. A deeper understanding in these broad categories will help the investigator use a variety of approaches and measures to examine students' individual characteristics, construct surveys, study variation in students' experiences, and structure timelines for the ESM study. Through the professional development plan, the investigator will address these needs by participating in subject-specific conferences, workshops, short courses, research groups, and mentoring activities in both research methodology and computer science relative to STEM interest development.The pilot study will be carried out in the context of an introductory undergraduate computer science course using a pool of 200 students. It will be framed in terms of the interest development theory to better understand how students' in-the-moment interest is sparked in specific situations and then accumulates into more ongoing and sustained individual interest. Specifically, ESM will allow the investigator to monitor a short-term intervention to explore how situational interest may change over time into well-developed individual interest. The pilot study will seek to determine if this method is more suitable for understanding situational interest and if so, under what conditions. Data will be collected through pre-post surveys, an experience sampling survey, and short written reports. Data will be analyzed using multivariate, mixed effects models that will consider the relationship between situational and individual interest. Outcomes from this project will be two-fold: an advancement in the investigator's methodological knowledge relative to ESM; and a deeper understanding about how student's interest may develop in computer science as well as what barriers might interfere with such development. The project is supported through the EHR Core Research Building Capacity in STEM Education Research competition that is designed to build individuals' capacity to carry out high quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.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.

该项目探讨了计算机科学本科阶段的STEM兴趣发展。这是一项具有国家重要性的研究，将重点关注谁在追求计算机科学的兴趣，专业或职业方面的实质性差异。该试点研究将探讨是什么导致了这些差异，使寻求支持和维持更具代表性的计算机科学专家群体的政策制定者和教育工作者能够最有效地采取行动。为了解决这个问题，该项目将进行一项试点研究，阐明一个基础研究项目适合ECR计划使用经验抽样方法（ESM）。为了达到ECR研究门槛，研究者将招募具有专业知识的导师和顾问委员会成员，使用这种方法来帮助确定研究者在两年项目期间需要开发的经验，专业知识和能力。根据这些专家的建议，研究者将在研究设计、研究方法和数据分析方面获得帮助。在这些广泛的类别更深入的理解将有助于研究者使用各种方法和措施来检查学生的个人特征，构建调查，研究学生的经验变化，并为ESM研究结构的时间表。通过专业发展计划，研究者将通过参加特定主题的会议，研讨会，短期课程，研究小组和指导活动来满足这些需求，这些活动涉及研究方法和与STEM兴趣发展相关的计算机科学。试点研究将在本科计算机科学入门课程的背景下进行，使用200名学生。它将根据兴趣发展理论来构建，以更好地理解学生的即时兴趣是如何在特定情况下被激发的，然后积累成更持续和持续的个人兴趣。具体而言，ESM将允许研究者监测短期干预，以探索情境兴趣如何随着时间的推移转变为成熟的个人兴趣。试点研究将试图确定这种方法是否更适合于理解情境兴趣，如果是，在什么条件下。将通过事前调查、经验抽样调查和简短的书面报告收集数据。将使用多变量混合效应模型分析数据，该模型将考虑情境和个人兴趣之间的关系。从这个项目的成果将是双重的：在调查人员的方法论知识相对于ESM的进步;和更深入地了解学生的兴趣如何可能在计算机科学发展，以及什么障碍可能会干扰这种发展。该项目通过EHR核心研究STEM教育研究能力建设竞赛得到支持，该竞赛旨在培养个人在STEM学习和学习环境中开展高质量基础STEM教育研究的能力，扩大STEM领域的参与，该奖项反映了NSF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。

项目成果

How CS1 Students Experienced COVID-19 In the Moment: Using An Experience Sampling Approach to Understand the Transition to Emergency Remote Instruction

• DOI: 10.1145/3408877.3439657
• 发表时间: 2021-03
• 期刊: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
• 作者: A. Lishinski;Joshua Rosenberg;Michael Mann;Omiya Sultana;Joshua Dunn

All the Pieces Matter: The Relationship of Momentary Self-efficacy and Affective Experiences with CS1 Achievement and Interest in Computing

• DOI: 10.1145/3446871.3469740
• 发表时间: 2021-08
• 期刊: Proceedings of the 17th ACM Conference on International Computing Education Research
• 作者: A. Lishinski;Joshua Rosenberg

Self-efficacy, Interest, and Belongingness – URM Students’ Momentary Experiences in CS1

自我效能、兴趣和归属感 — URM 学生 — CS1 的短暂体验

• DOI: 10.1145/3501385.3543958
• 发表时间: 2022
• 期刊: Proceedings of the 2022 ACM Conference on International Computing Education Research (ICER ’22
• 作者: Lishinski, Alex;Narvaiz, Sarah;Rosenberg, Joshua M.
• 通讯作者: Rosenberg, Joshua M.

Using intensive longitudinal methods to quantify the sources of variability for situational engagement in science learning environments

• DOI: 10.1186/s40594-023-00449-0
• 发表时间: 2023-11
• 期刊: International Journal of STEM Education
• 影响因子: 6.7
• 作者: Joshua M. Rosenberg;Patrick N. Beymer;Vicky Phun;Jennifer A. Schmidt

A Different Experience in a Different Moment? Teachers’ Social Media Use Before and During the COVID-19 Pandemic

• DOI: 10.1177/23328584211063898
• 发表时间: 2021-01
• 期刊: AERA Open
• 影响因子: 2.8
• 作者: Stephen J. Aguilar;Joshua Rosenberg;S. Greenhalgh;Tim Fütterer;A. Lishinski;Christian Fischer