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斯坦福大学教育学院硕士(教育数据科学、国际比较教育/国际教育政策分析、学习设计与技术、政策组织和领导力)
院校: Stanford University / 斯坦福大学 专业: Education 授予学位: MS/MA 申请难度: 校友评分:
8.0
专业简介

1.Education Data Science (MS)

Data hold enormous potential to advance discovery, decision making, and the continuous improvement of learning. The program in education data science integrates the complex and rich disciplines of computer science and statistics with education and social science theory. It prepares students to apply data science skills and techniques to education research and practice.This two-year, full-time residential course of study combines academic coursework with a mentored internship or research assistantship. The program culminates with a capstone project under mentorship of GSE faculty.

2.International Comparative Education (ICE)

The International Comparative Education (ICE) concentration is a multidisciplinary, international, cross-national program that places educational problems into a comparative framework.This 12-month, full-time residential course of study combines an interdisciplinary overview of major issues in international and comparative education, development, and policy with specialized coursework in students’ areas of interest. The program’s two tracks—International Comparative Education (ICE) and International Education Policy Analysis (IEP)—focus on rigorous research, and culminate in a publishable-quality master’s paper. Flexibility and small cohort size are hallmarks of the program.

3.Learning Design and Technology (MS)

The face of education is changing. New technologies have catalyzed an evolution in tools for learning. As schools, governments, and corporations look to emerging technologies to enhance learning environments and improve outcomes, these efforts must be guided by empirically-grounded learning sciences and design. The Learning Design and Technology program builds the creativity, knowledge, and skills necessary to pioneer the future of equitable, effective learning.This 11-month, full-time residential program integrates powerful contemporary ideas about learning with emergent technologies to design and evaluate learning environments, products, and programs. The LDT program features a blend of theory and project-based courses, a real-world internship, and a major design project. It awards a master’s of science (MS) degree.

4.Policy, Organization, and Leadership Studies(MA)

Education is a joint venture. Government, business, schools, and civil society all contribute to the provision of education. The mission of the Policy, Organization, and Leadership Studies (POLS) program is to equip our students with the knowledge, theory, and practical skills they need to bring about the change they want to see in education.This nine-month, full-time residential program combines coursework and field work to prepare students for effective leadership in a wide range of education enterprises. Our cohort model emphasizes teamwork, understanding complex problems, and designing solutions. Students collaborate with faculty, peers, and field site hosts. The program awards a master of arts degree.

1.数据科学教育(硕士)

数据在推动发现、决策和不断改进学习方面蕴含着巨大的潜力。教育数据科学专业将复杂而丰富的计算机科学和统计学学科与教育和社会科学理论融为一体。该专业培养学生将数据科学技能和技术应用于教育研究和实践的能力。这个为期两年的全日制住宿学习课程将学术课程与指导实习或研究助理工作相结合。该课程的高潮是在 GSE 教师指导下完成一个顶点项目。

2.国际比较教育(ICE)

国际比较教育(ICE)专业是一个多学科、国际化、跨国性的专业,它将教育问题置于一个比较框架中。这个为期 12 个月的全日制住宿学习课程将国际和比较教育、发展和政策中主要问题的跨学科概述与学生感兴趣领域的专业课程相结合。该课程的两个方向--国际比较教育(ICE)和国际教育政策分析(IEP)--侧重于严谨的研究,并最终形成一篇可发表的高质量硕士论文。灵活性和小班制是该专业的特点。

3.学习设计与技术(理学硕士)

教育的面貌正在发生变化。新技术催化了学习工具的演变。学校、政府和企业都在寻求新兴技术来改善学习环境和提高学习成绩,这些努力必须以基于经验的学习科学和设计为指导。学习设计与技术课程培养学生的创造力、知识和技能,帮助他们开创公平、有效学习的未来。这个为期 11 个月的全日制住宿课程将当代强大的学习理念与新兴技术相结合,设计和评估学习环境、产品和课程。LDT 项目融合了理论和基于项目的课程、实际实习和主要设计项目。该课程授予理学硕士(MS)学位。

4.政策、组织与领导力研究(硕士)

教育是一项共同事业。政府、企业、学校和民间社会都为提供教育做出了贡献。政策、组织与领导力研究(POLS)课程的使命是让学生掌握他们所需的知识、理论和实践技能,以实现他们希望看到的教育变革。我们的团队模式强调团队合作、理解复杂问题和设计解决方案。学生与教师、同行和实地考察主办方合作。该课程授予文学硕士学位。

课程设置

费用和奖学金

申请材料及要求

文书解析

硕士:教育数据科学(EDS)

面试: 不要求。

写作样本: 不要求。

其他特定项目要求:

1.您需要在 EDS 补充申请表(第 13 页)中回答这些附加问题。

请根据您的学术和专业目标,简要描述您理想中的硕士课程(最多 1500 字)。

请描述您利用数据更好地理解问题的一次经历(最好与教育有关)。您是如何利用自己的分析和技术技能以及领域知识来构建问题框架并考虑解决方案的?如果您还没有使用过数据驱动的方法,也可以详细说明这种方法(最多 1500 字)。

我们必须了解您当前的技能,以便在您被录取后更好地了解您的需求。在申请表中,您需要填写一份技能水平矩阵表。点击此处查看矩阵。如果您的答案不是 "学位 "或 "认证课程",请详细说明。(最多 1000 字)

您有多少年使用统计软件/编程语言的经验?请分别列出统计软件/编程语言和经验(例如:R-x 年;Python-x 年;Stata-x 年等)。 学生需要具备基本的编程技能才能进入大多数数据科学课程。因此,需要有基本的编程经验或先前的编程课程。新手在申请前应考虑学习 EdX 或 Coursera 课程。教育数据科学课程依赖于 R 和 Python 编程语言。

2.学生需要具备基本的编程技能才能选修大多数数据科学课程。因此,需要有基本的编程经验或编程方面的先修课程。新手在申请前应考虑学习 EdX 或 Coursera 课程。教育数据科学课程依赖于 R 和 Python 编程语言。

申请日期

MA/MS Application Deadline: January 8, 2024 (11:59pm PST)

就业方向

After you graduate

Education data science graduates are among the first in the world with cutting-edge training in both data science and education theory and practice. Their expertise is valuable to education research firms, school districts and systems, universities, state and federal governmental education agencies, ministries of education in other countries, education technology companies, and educational for-profit ventures.

毕业后

教育数据科学专业的毕业生是世界上首批在数据科学和教育理论与实践两方面都接受过前沿培训的人。他们的专业知识对教育研究公司、学区和教育系统、大学、州和联邦政府教育机构、其他国家的教育部、教育技术公司和教育营利性企业都很有价值。

申请要点

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