CER: Factors Influencing College Success in Information Technology (FICSIT)

CER：影响大学信息技术成功的因素 (FICSIT)

• 批准号: 1339200
• 负责人: Philip Sadler
• 金额: $ 60万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1339200&HistoricalAwards=false
• 关键词: CER; Factors; Influencing; College; Success

Harvard University will undertake a retrospective cohort study to analyze college students? education background and previous IT-related experiences for predictors of performance when students study Computer Science in college, while controlling for demographic differences. The study will reveal how decisions concerning the use of technology made by high school teachers in the teaching of science and mathematics and the growing number of high school computer science courses relate to the performance of 12,000 college computer science students nationwide, who will be recruited from randomly selected 2-year and 4-year colleges and universities. This study has the capacity to both reveal and evaluate the use of the most promising educational practices and interventions, including both in-school computing instruction and after-school programs, competitions, and clubs, and to assess the effects of a match between experiences during the high school years with the evolving landscape of introductory college computer science courses. Such knowledge can only help to ameliorate the high failure rates that prematurely end the pursuit of a potential computer science degree, especially for females and under-represented minorities who historically opt out of this field earlier and in greater numbers than other classmates. Both college and high school computer science instructors can also benefit from understanding the factors contributing to effective preparation for students? first college computer science course.

哈佛大学将进行一项回顾性队列研究来分析大学生？教育背景和以前的 IT 相关经验可以作为学生在大学学习计算机科学时表现的预测因素，同时控制人口差异。 该研究将揭示高中教师在科学和数学教学中使用技术以及不断增加的高中计算机科学课程的决策如何与全国 12,000 名大学计算机科学学生的表现相关，这些学生将从随机选择2年制和4年制学院和大学。 这项研究有能力揭示和评估最有前途的教育实践和干预措施的使用，包括校内计算机教学和课外计划、比赛和俱乐部，并评估在学习期间经历之间的匹配效果。高中时期，大学计算机科学入门课程不断发展。 这些知识只会有助于改善高失败率，从而过早结束对潜在计算机科学学位的追求，特别是对于女性和代表性不足的少数族裔来说，她们历来比其他同学更早、更多地选择退出该领域。大学和高中计算机科学教师也可以从了解有助于学生有效准备的因素中受益？第一门大学计算机科学课程。