EDUC 393: Proseminar: Education, Business, Politics
Overview of the field of education for joint degree (M.B.A./M.A.) students.
Terms: Spr
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Units: 3
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Grading: Letter (ABCD/NP)
Instructors:
Bettinger, E. (PI)
EDUC 399A: Designing Surveys
This workshop/course is designed for students who are designing a survey for use in a research project. The workshop content draws on relevant cognitive processing theories and research (on comprehension, retrieval, judgment, and reporting). In addition to some readings and a few lectures, this workshop is designed to be highly interactive and practical. By the end of the course students will have designed and pilot tested their survey instrument. Course may be repeated for credit.
Terms: Win
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Units: 1-2
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Repeatable for credit
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Grading: Satisfactory/No Credit
Instructors:
Porteus, A. (PI)
EDUC 401A: Mini Courses in Methodology: Statistical Packages for the Social Sciences (SPSS)
Statistical analysis using SPSS, including generating descriptive statistics, drawing graphs, calculating correlation coefficients, conducting t-tests, analysis of variance, and linear regression. Building up datasets, preparing datasets for analysis, conducting statistical analysis, and interpreting results.
Terms: Aut
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Units: 1
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Grading: Satisfactory/No Credit
Instructors:
Fan, L. (PI)
EDUC 401B: Mini Courses in Methodology: Stata
The goal of this course is to familiarize students with the Stata statistical software package for use in quantitative research. By the end of the course, students should be able to import and export data, clean and manage data, conduct standard statistical tests (e.g., correlation, t-test, regression), and produce a graph.
Terms: Aut, Win
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Units: 1
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Grading: Satisfactory/No Credit
Instructors:
Holzman, B. (PI)
EDUC 401C: Data Analysis Examples Using R
We will do basic and intermediate level data analysis examples, likenthose that students will have seen in their courses, in R. Examplesninclude: descriptive statistics and plots, analysis of variance,ncorrelation and regression, categorical variables, multilevel data.nSee
http://rogosateaching.com/ed401/
Terms: Aut
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Units: 1
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Grading: Satisfactory/No Credit
Instructors:
Rogosa, D. (PI)
EDUC 401D: Multilevel Modeling Using R (STATS 196A)
Multilevel data analysis examples using R. Topics include: two-level nested data, growth curve modeling, generalized linear models for counts and categorical data, nonlinear models, three-level analyses. For more information, see course website:
http://rogosateaching.com/stat196/
Terms: Spr
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Units: 1
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Grading: Satisfactory/No Credit
Instructors:
Rogosa, D. (PI)
EDUC 403: Education's Digital Future
Digital technologies are rapidly evolving and reorganizing the way we play, learn, and work. Significant questions have emerged about how digital and networked information technologies might be both narrowing and widening gaps in access to learning opportunities. It is becoming clear that technology alone will not catalyze the forms of equity that are so essential for preparing young people and their families for a rapidly changing future. Instead we need to deeply rethink and intentionally redesign the social organizations and tools that provide learning opportunities (schools, workplaces, community organizations, libraries) and study these innovations at a regional as well as national level. In this course and public seminar, designed to foster new forms of collaboration and innovation, we will engage these questions through a series of invited conversations with a broad range of stakeholders including researchers, educators, and industry representatives. May be repeat for credit.
Terms: Spr
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Units: 1
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Repeatable for credit
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Grading: Satisfactory/No Credit
Instructors:
Barron, B. (PI)
EDUC 404: Topics in Brazilian Education: Public Policy and Innovation for the 21st Century
The objective of this seminar is to provide students from different backgrounds an opportunity to learn about current issues and debates on Brazilian education. The seminar will cover topics on the history of Brazilian education; an overview of current school reforms at the federal level; educational assessments; education and economic growth; educational equity; teacher labor market; technology and education; early childhood; and higher education to Brazil.
Terms: Aut, Win, Spr
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Units: 1-2
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Repeatable for credit
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Grading: Satisfactory/No Credit
EDUC 405: Teaching the Humanities
This course, designed for graduate students in the humanities and education, explores approaches to teaching the humanities at both the secondary and collegiate levels, with a focus on the teaching of text, and how the humanities can help students develop the ability to read and think critically. The course explores purposes and pedagogical approaches for teaching humanities through a variety of texts and perspectives. The course is designed as an opportunity for doctoral students in the Humanities both to enrich their own teaching, and to broaden their understanding of professional teaching opportunities, including community college and secondary school teaching.
Terms: Win
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Units: 3
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Grading: Letter or Credit/No Credit
Instructors:
Wolf, J. (PI)
EDUC 407: Lytics Seminar
This course is a survey of research methods with applications in online learning. The methods covered are very interdisciplinary, including an introduction to machine learning, text/discourse analysis, causal modeling, and psychometrics. Broader question in research methodology are also covered, including how to formulate a good research question, when to use qualitative or quantitative methods, and the relative merits of theory-driven confirmatory vs. exploratory research. The goal of this course is to support researchers in the online learning space and other fields in their research endeavors.
Terms: Win, Spr
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Units: 1-4
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Repeatable for credit
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Grading: Letter or Credit/No Credit
Instructors:
Thille, C. (PI)
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