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91 - 100 of 233 results for: VPGE::* ; Currently searching offered courses. You can also include unoffered courses

EDUC 377H: Leadership & Diversity: Topics from Education

(Same as GSBGEN 377). This course will explore the critical role diversity plays in successful organizations and challenge students to develop their own brand of leadership, learning from leaders in education who have grappled with these challenges. As impact-oriented leaders aspiring to address challenges across social, economic, and political arenas, we have an imperative to advance diversity, and education provides the perfect canvas on which to explore this imperative. High-stakes issues such as school district reform, teacher effectiveness, and the school-to-prison pipeline present complex dilemmas that demand superb leadership skills. In this course, we will: (1) explore the role that diversity plays in complex leadership challenges; (2) study a range of effective leadership approaches considering different topics in education; and (3) understand our own values and decision-making criteria, developing tactics to improve our leadership capacity. We will examine contemporary leaders and controversies from education, draw upon timeless historical thinkers, enjoy the wisdom of guest speakers, and work intensively in small groups to highlight challenges, opportunities, and tradeoffs. By exploring a range of approaches and situations, we will work to a deeper understanding of ourselves and how to become more capable, empathetic, and effective leaders.
Terms: Spr | Units: 3
Instructors: Colby, S. (PI)

EDUC 386: Leadership and Administration in Higher Education

Definitions of leadership and leadership roles within colleges and universities. Leadership models and organizational concepts. Case study analysis of the problems and challenges facing today's higher education administrators.
Terms: Spr | Units: 2

EDUC 391: Engineering Education and Online Learning (ENGR 391)

A project based introduction to web-based learning design. In this course we will explore the evidence and theory behind principles of learning design and game design thinking. In addition to gaining a broad understanding of the emerging field of the science and engineering of learning, students will experiment with a variety of educational technologies, pedagogical techniques, game design principles, and assessment methods. Over the course of the quarter, interdisciplinary teams will create a prototype or a functioning piece of educational technology.
Terms: Spr | Units: 3

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 | Units: 1-2 | Repeatable 20 times (up to 40 units total)
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 | Units: 1
Instructors: Stenhaug, B. (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 | Units: 1
Instructors: Stenhaug, B. (PI)

EDUC 401D: Multilevel Modeling Using R (STATS 196A)

See http://rogosateaching.com/stat196/ . 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. Class meets April 11, April 18, April 25, May 2, May 16.
Terms: Spr | Units: 1
Instructors: Rogosa, D. (PI)

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 | Units: 3

EDUC 421: Powerful Ideas for Learning Sciences and Technology Design

This course is intended as a graduate level seminar that provides in-depth readings and discussions, Professor Roy Pea's professional reflections, and student essay-writing on topics examined in Dr. Pea's select publications and associated influential writings.
Terms: Win | Units: 3 | Repeatable 6 times (up to 18 units total)
Instructors: Pea, R. (PI)

EDUC 450C: Qualitative Interviewing

Addressing the theoretical underpinnings of qualitative interviews as well as the application of theory to practice, this course considers different approaches to interviewing. Interview types covered will range from group interviews to individual interviews, and from unstructured, ethnographically oriented interviews to highly structured interviews. Working with community partners to facilitate application to practice, the students will move from theory to interview design, implementation, and initial stages of analysis, with an emphasis on consistency in approach and utility in graduate-level research.
Terms: Win | Units: 3 | Repeatable 2 times (up to 6 units total)
Instructors: Ardoin, N. (PI)
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