81 - 90 of 101 results for: EDUC

"Curricular Practical Training" independent study sections specifically created for international students in F-1 Visa Status who wish to receive credit and to be paid for internships.

This is a course about gaining a deep understanding of the levers of systems change in K-12 education focusing especially on (re)mediating systems in ways that center inclusion, equity, and justice. This course is concerned with systems change processes: why we need them; what they look like; and what theories can be called upon to guide them. We will examine the role of educational reform processes. We will examine various conceptions how reform efforts bear on systems change efforts at all levels of education: the classroom, the school, the district, and the state and federal levels of educational policy. In this course, we will examine contemporary theories of educational systems change that pay close attention to Disability, Language, and Difference. We will consider some examples of how these change processes interact to improve academic and social outcomes for all students, especially those who have been historically marginalized. We will consider urban, suburban, and rural applications of these processes, as major sources of evidence for what works and what fails. We will consider the "big picture" of our society, its values, and its economic position in a global economy to better understand why the need for systems change, which may seem obvious, is so difficult to achieve in practice.

This course uses social theories of difference to examine the intersections of disability, race and culture. The course will examine these concepts drawing from scholarship published in history, sociology of education, urban sociology, cultural studies, disability studies, social studies of science, cultural psychology, educational and cultural anthropology, comparative education and special education. Implications for policy, research and practice will be covered.

(Same as STRAMGT 335) In this course, students will investigate opportunities and challenges of entrepreneurial ventures trying to increase access to educational opportunity, improve the quality of learning experiences for underserved students and disrupt systemic inequities in preK-12 education. Class discussions will explore frameworks for understanding how to maximize educational impact by ensuring efficacy, increasing financial sustainability, and building scale. Cases are focused on organizations in early childhood, primary and secondary education, and feature a variety of ventures (including schools, technology, educator training, and supplemental services) and organizational models (for-profit, not-for-profit, and benefit corporation) in the U.S. and globally. Note: This is not a "how to" class on starting an education venture; it focuses on the strategic challenges of maximizing impact. This course is designed for students who want to be part of creating a more equitable society and improving opportunities for youth, whether by becoming entrepreneurs, leaders, Board members, donors or investors in education organizations. Attendance at the first class meeting is required.

Would you like to design ways to use generative AI to help humans learn with other humans? In this course, you will develop creative ways to use generative AI to support collaborative learning, also learning more about AI as researchers continue to improve tools like ChatGPT. In creating new learning activities that could be used at Stanford or in other courses, you will build experience with fundamentals of design, including the design abilities of learning from others, navigating ambiguity, synthesizing information, and experimenting rapidly. You will do this by tackling real design challenges presented by our project partners, which include several Stanford programs, while drawing on your own first-hand experience as students. This class is open to all students, undergraduate and graduate, of any discipline. No previous design experience or experience with AI is required. Just a collaborative spirit and hard work.

For doctoral students only. (all areas)

This seminar considers ongoing work in organization studies through a speaker series featuring Stanford faculty, visiting scholars, and guests from academic institutions throughout North America and elsewhere.

Everything we learn - be it a historical fact, the meaning of a new word, or a skill like reading, math, programming or playing the piano - depends on brain plasticity. The human brain's incredible capacity for learning is served by a variety of learning mechanisms that all result in changes in brain structure and function over different time scales. The goal of this course is to (a) provide an overview of different learning systems in the brain, (b) introduce methodologies and experiments that have led to new discoveries linking human brain plasticity and learning, (3) design an experiment, collect neuroimaging data, and measure the neurobiological underpinnings of learning in your own brain with MRI. The first section of the course will involve a series of lectures and discussions on the foundations of plasticity and learning with particular attention to experimental methods used in human neuroimaging studies. The second part of the course will involve workshops on designing and implementing experiments in MATLAB/Psychtoolbox or Python/PsychoPy. During this part of the course students will design, present and implement their own experiments as group projects. Finally, students will learn how to collect and analyze MRI data by being participants in their own fMRI experiments or analyzing publicly available datasets. Requirements: This class is designed for students who are interested in gaining hands-on experience with measuring the neurobiological underpinnings of learning. Student projects will involve designing experiments, collecting and analyzing data. So some experience with MATLAB/Python or an equivalent programming language is required. Some background in neuroscience (at least 1 course) is also required as we will assume basic knowledge.