printer friendly pageEDUC 231: Learning Religion: How People Acquire Religious Commitments (AMSTUD 231X, JEWISHST 291X, RELIGST 231X)
This course will examine how people learn religion outside of school, and in conversation with popular cultural texts and practices. Taking a broad social-constructivist approach to the variety of ways people learn, this course will explore how people assemble ideas about faith, identity, community, and practice, and how those ideas inform individual, communal and global notions of religion. Much of this work takes place in formal educational environments including missionary and parochial schools, Muslim madrasas or Jewish yeshivot. However, even more takes place outside of school, as people develop skills and strategies in conversation with broader social trends. This course takes an interdisciplinary approach to questions that lie at the intersection of religion, popular culture, and education. May be repeat for credit.
Last offered: Winter 2023
| Repeatable
2 times
(up to 8 units total)
EDUC 232: Culture, Learning, and Poverty
This course examines the categories and methods used to analyze and explain educational inequalities in the United States from 1950 to present. Approaches to theories of school failure and methods of intervention are distinguished by their ideas on the play of learning, language, cognition, culture, and social class in human development. Particular attention is given to the Culture of Poverty controversies of the 1960s and their recent emergence.
Last offered: Autumn 2019
EDUC 234: Curiosity in Artificial Intelligence (PSYCH 240A)
How do we design artificial systems that learn as we do early in life -- as "scientists in the crib" who explore and experiment with our surroundings? How do we make AI "curious" so that it explores without explicit external feedback? Topics draw from cognitive science (intuitive physics and psychology, developmental differences), computational theory (active learning, optimal experiment design), and AI practice (self-supervised learning, deep reinforcement learning). Students present readings and complete both an introductory computational project (e.g. train a neural network on a self-supervised task) and a deeper-dive project in either cognitive science (e.g. design a novel human subject experiment) or AI (e.g. implement and test a curiosity variant in an RL environment). Prerequisites: python familiarity and practical data science (e.g. sklearn or R).
Terms: Spr
| Units: 3
Instructors:
Haber, N. (PI)
EDUC 234A: Interactive and Embodied Learning (CS 422)
Most successful machine learning algorithms of today use either carefully curated, human-labeled datasets, or large amounts of experience aimed at achieving well-defined goals within specific environments. In contrast, people learn through their agency: they interact with their environments, exploring and building complex mental models of their world so as to be able to flexibly adapt to a wide variety of tasks. One crucial next direction in artificial intelligence is to create artificial agents that learn in this flexible and robust way. Students will read and take turns presenting current works, and they will produce a proposal of a feasible next research direction. Prerequisites:
CS229,
CS231N,
CS234 (or equivalent).
Terms: Win
| Units: 3
| Repeatable
5 times
(up to 15 units total)
Instructors:
Haber, N. (PI)
EDUC 235: Workshop and Reading Group in Higher Education
This is an ongoing workshop and reading group for students and faculty engaged in research in higher education. Topics include but are not limited to postsecondary access; late adolescent and college student development; adult and lifelong learning; teaching and learning in postsecondary settings; leadership and management; federal, state, and institutional policy; student and organizational culture; and finance and economics. The focus of the workshop is to provide a faculty led community of support for students, faculty, and others conducting research on higher education. Accordingly, the schedule of topics each quarter will be determined by participants in the workshop to flexibly focus on current research papers and projects. The workshop will provide a space for participants to present research ideas, workshop conceptual and methodological issues, give and receive feedback on conference paper proposals and drafts, and engage in focused discussion of papers and studies relevant to their work. It is open to master's and doctoral students, and with instructor approval, undergraduates working on theses and senior papers.
Terms: Aut, Win, Spr
| Units: 1-3
| Repeatable
9 times
(up to 27 units total)
Instructors:
Antonio, A. (PI)
;
Gumport, P. (PI)
EDUC 236: How Will AI Change the EdTech Industry? Challenges & Opportunities Based on Real Business Cases
Is Artificial Intelligence really disrupting the EdTech industry or do its business impacts remain elusive? Despite booming interest around AI, concrete examples of how this is actually changing the way EdTech businesses operate remain scant. In this course, students will have the opportunity to engage with EdTech entrepreneurs, board members and venture capitalists around real business cases that illustrate the opportunities and challenges linked to incorporating AI into their product when it comes to driving sales, market share, and profitability.
Terms: Spr
| Units: 1-2
| Repeatable
2 times
(up to 4 units total)
Instructors:
Lichand, G. (PI)
;
Sassaki, C. (PI)
EDUC 237: Learning, Making, Crafting, & Creating
This is a hands-on course that introduces students to digital fabrication and 'maker' technologies used to develop prototypes of new objects and artifacts for learning. Technologies include 3D printers, electronic textiles, laser cutters, low-threshold programming environments, and micro controllers. Constructionist learning theory and current practices for design are covered. No prior technical or prototyping experience is required.
Terms: Win
| Units: 3
Instructors:
Higgins, H. (PI)
;
Lee, V. (PI)
EDUC 238: Market Oriented Policies in Education (SOC 238)
Introducing market dynamics in education remains a highly controversial policy issue. In this course we will discuss the main ideas supporting the market approach in education and the key arguments against these policies; we will also review some of the evidence concerning the effects of market policies in education such as privatization, vouchers, and school choice; and finally, we will study several issues related to market oriented reforms, such as performance accountability, school segregation, and peer effects in education.
Last offered: Spring 2022
EDUC 240: Adolescent Development and Learning
How do adolescents develop their identities, manage their inner and outer worlds, and learn? Presuppositions: that fruitful instruction takes into account the developmental characteristics of learners and the task demands of specific curricula; and that teachers can promote learning and motivation by mediating among the characteristics of students, the curriculum, and the wider social context of the classroom. Prerequisite: STEP student or consent of instructor. (STEP)
Terms: Sum
| Units: 3
EDUC 242: Workshop on Instrument Development for Assessment, Research or Evaluation Purposes I
This course is designed with the belief that collecting information is a routine activity in which most researchers and educators are involved. Developing and improving instruments to gather information for descriptive, assessment, research, or evaluation purposes is a goal that unites all social sciences. Therefore, this course focuses on the technical skills required to develop, judge, and/or select quality instruments in diverse domains. The course will focus on your personal journey to develop or judge an instrument on something that is important for you.
Last offered: Autumn 2017
| Repeatable
2 times
(up to 6 units total)
Filter Results: