Palm Springs, California
June 3, 2016 - June 5, 2016
Early-bird Deadline: Sun, April 3rd, 2016
Tue, May 3rd, 2016
Extended Submission Deadline: Mon, May 30th, 2016
While intentionally interdisciplinary, this conference likely is of most interest to those with interests in:
Early Childhood Education | Special Education | Elementary School | Junior High School | High School | Common Core | College Preparation | Trade School
Educating youngsters is always a challenge, all the more so in racially and culturally diverse classrooms with many non-native language learners and foster youth students, and few benefiting from early childhood programs. These issues are more pronounced in California than most other states, but recent State legislation aims to shift decisions on priorities and fund allocations to the local level. This conference encourages research and informed discussion of these issues.
As with all events offered by The Sisu Advantage, this event is run in parallel with another conference. The intent is to break down traditional discipline silos and foster interdisciplinary collaboration. Registration to this event allows attendance to all sessions and events of both The Pacific Conference on Pre-K through K-12 Education
and The Pacific Conference on Language Learning
, at no additional cost.
Andrew Wall, Ph.D.
Robert A. & Mildred Peronia Naslund Endowed Dean
School of Education, University of RedlandsRead More
Martine Jago, Ph.D.
Associate Dean, Education Division
Gilberto Q. Conchas
Professor, School of Education
University of California, Irvine
Each conference weekend, a specialty workshop is offered that exposes attendees to open-source productivity tools that are freely available, such as "R Packages", that are specifically designed for teaching and research in the discipline(s) and topics that are the focus of that weekend.
The R Statistical Computing Environment is a free, downloadable software system for both basic and state-of-the-art data visualizations and analyses.
It is the leading programming language for newly introduced algorithms, and more than 7,000 “R Packages” are available for download to save you from needing to “reinvent the wheel” in your own work. We solicit requests from attending delegates and select one or two to present at each workshop. No prior experience with R or programming is expected.
Following are a sample of “R Packages” representative of those we cover:
- Pre-K through K-12 Education // Language Learning
→ “shiny Package”: for building interactive web data visualizations
- Community College and University Ed// Distance and Lifelong Learning
→ “knitr Package”: for presentation and publication of reproducible work
- Social/Mass Media and Communication // Fine Arts and Humanities
→ “tm Package”: a comprehensive framework for text mining and web-mining
- Psychology and the Behavioral Sciences // Economics and Social Sciences
→ “vegan Package”: for ordination methods like multidimensional scaling
- Statistical Computing and Data Mining // The Science and Art of Business
→ “rattle Package”: A GUI for classical and tree models and data mining
- Energy, Climate Change and the Environment // Technology and Public Policy
→ “EnvStats Package”: for environmental statistics and EPA guidance