All resources in OER Advanced Skills Academy 2022

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OER Advanced Skills Academy Resources

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These Academy resources focus on building on the foundational skills and practices of collaborating to curate, evaluate, create, and share Open Educational Resources (OER) to further develop projects to advance OER in your work:April 12: OER Overview Revisit the what, why, and how of OER, highlighting open licensing examples and use cases involving the successful advancement of OER.April 26: Project Design Hands-on training aimed at supporting effective project design to collaboratively identify, evaluate, organize, remix, create, and share OER.May 10: Peer Review & Feedback Deep dive into continuous improvement, developing collaborative workflows to leverage supports for peer review, reflection, and refinement of resources.

Material Type: Activity/Lab

Authors: Megan Simmons, Joanna Schimizzi

OER & Online Learning: Faculty Quick Start Guide

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The Faculty Quick Start Guide is an outcome of a project by ISKME, supported by a grant from the Michelson 20MM Foundation, to conduct a study and develop a set of resources to accelerate OER use for distance education, especially the urgent shift to remote learning during the pandemic in 2020. The Guide, created in collaboration with a selection of OER and online education champions across California community colleges (CCC), contains: - Models and approaches to online learning, and to emergency remote learning in the context of COVID-19; - How and to what extent OER fits into these models, and local and state-level supports needed for its integration and sustainability; - Design considerations for integrating OER in online learning, including pedagogical and platform considerations; - Curatorial practices, such as using OER curation tools and aligning curated OER to learning outcomes; and, - Starting points and tips for colleges and faculty who want to initiate OER integration into distance education. Tailored to faculty and campus administrators both in California and beyond, the Guide has the aim is to enable system-wide shifts to meet postsecondary institutions’ long term goals for distance learning, and faculty’s emergency plans for remote learning in response to the COVID-19 and potential future crises. The Guide is also available as a PDF for download: https://drive.google.com/file/d/17AXs30dZeLOrGeNBQ-ISc_OJXIxE9xtB/view?usp=sharing. See the companion guide for administrators at: https://www.oercommons.org/courses/iskme-michelson-20mm-oer-campus-administrator-quick-start-guide-public/edit

Material Type: Reading, Teaching/Learning Strategy

Author: ISKME

Accessibility Toolkit – 2nd Edition – Open Textbook

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The goal of this accessibility toolkit, 2nd edition, is to provide resources for each content creator, instructional designer, educational technologist, librarian, administrator, and teaching assistant to create a truly open textbook—one that is free and accessible for all students. This is a collaboration between BCcampus, Camosun College, and CAPER-BC.

Material Type: Full Course

Authors: Amanda Coolidge, Josie Gray, Sue Doner, Tara Robertson

Art Appreciation

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Art Appreciation thoroughly investigates how quality is determined and created by artists in order to evaluate and appreciate art on a deeper level. This course emphasizes why each topic contributes to valuing a piece of art and provides the necessary knowledge to do so. Students are first introduced to the elements and principles of art and the importance of artists’ context and perspective. The course then covers different periods in art history, different techniques in art, and how to research and evaluate art.

Material Type: Full Course

Authors: Christopher Gildow, Lumen Learning, Wendy Riley

BranchED OER Template

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This template has been created by Branch Alliance for Educator Diversity to facilitate the development of OER as instructional materials for teacher education classes.Within this resource are instructions, templates, and examples for using this template to create your own unit(s) for your own classes. 

Material Type: Module

Author: Aubree Evans

Angiosperm Seed Anatomy Lab

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This OER is a quick, hands-on lab that helps students explore the anatomy and function of angiosperm seeds. Topics such as seed anatomy and function, seed dormancy, and seed germination are addressed in this lab. This lab is intended to be used as instructional materials for biology teachers.Within this resource are instructions on required lab materials,an introduction to seed anatomy and function, an explanation of seed dormancy and germination, a seed diagram to label, and student exercises to assist in content mastery.

Material Type: Activity/Lab, Assessment, Homework/Assignment

Author: Scarlet Estlack

Remix

The Life Cycle of Mosses (Byrophytes) Lab

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This OER is a quick, hands-on lab that helps students explore the alternation of generations life cycle found in plants. Specifically, this lab explores the life cycle of bryophtyes. The plant strutures and the functions of those structures are discussed in the lab. This lab is intended to be used as instructional materials for biology teachers.Within this resource are required lab materials,an introduction to to mosses and their life cycle, an explanation of the life cyels, a moss life cycle diagram to label, and student exercises to assist in content mastery.

Material Type: Activity/Lab, Assessment, Diagram/Illustration, Homework/Assignment, Student Guide

Author: Scarlet Estlack

Introductory Business Statistics

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Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

Material Type: Textbook

Authors: Alexander Holmes, Barbara Illowsky, Susan Dean, Veda Roodal Persad

Principles of Business Statistics

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You are probably asking yourself the question, "When and where will I use statistics?". If you read any newspaper or watch television, or use the Internet, you will see statistical information. There are statistics about crime, sports, education, politics, and real estate. Typically, when you read a newspaper article or watch a news program on television, you are given sample information. With this information, you may make a decision about the correctness of a statement, claim, or "fact." Statistical methods can help you make the "best educated guess."

Material Type: Textbook

Author: Mihai Nica

Introductory Business Statistics with Interactive Spreadsheets - 1st Canadian Edition

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"Introductory Business Statistics with Interactive Spreadsheets - 1st Canadian Edition" is an adaptation of Thomas K. Tiemann's book, "Introductory Business Statistics". In addition to covering basics such as populations, samples, the difference between data and information, and sampling distributions, descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics, the following information has been added: the chi-square test and categorical variables, null and alternative hypotheses for the test of independence, simple linear regression model, least squares method, coefficient of determination, confidence interval for the average of the dependent variable, and prediction interval for a specific value of the dependent variable. This new edition also allows readers to learn the basic and most commonly applied statistical techniques in business in an interactive way -- when using the web version -- through interactive Excel spreadsheets. All information has been revised to reflect Canadian content.

Material Type: Textbook

Author: Mohammad Mahbobi, Thompson Rivers University; Thomas K. Tiemann, Elon University

Introductory Business Statistics

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The book "Introductory Business Statistics" by Thomas K. Tiemann explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. The author covers topics including descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. Using real-world examples throughout the text, the author hopes to help students understand how statistics works, not just how to "get the right number."

Material Type: Textbook

Author: Thomas K. Tiemann

Empirical Research Methods

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The main topics of study considered in light of the above learning outcomes are:Research philosophy (e.g. positivism, empiricism, naturalism)Formulating empirical research questions and conceptual research modelsCausality effects and relationshipsValidity and ReliabilityScales of measurement (e.g. nominal, ordinal, interval, ratio)Sampling methods (e.g. experiment, survey, observations) and measure instruments (e.g. Likert scales, semantic differential, event versus time sampling)Experimental design (e.g. within and between-subjects, factorial design, counter-balancing, Latin square)Biases in empirical research approaches (e.g. confounding variables, statistical power)Data preparation (e.g. standardization of data, reliability analysis, Inter-rater reliability)Hypothesis testing, t-test, (M)ANOVA, correlation, regression analysisNon-parametric approaches to data analysis

Material Type: Lecture Notes, Reading

Author: Dr.Ir. W.P. Brinkman

Pattern Recognition and Analysis, Fall 2006

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Fundamentals of characterizing and recognizing patterns and features of interest in numerical data. Basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non-parametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research.

Material Type: Full Course

Author: Picard, Rosalind

Quantitative Analysis for Business

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The objectives of this course are as follows: Demonstrate an understanding of graphical representations of data and their interpretation; Demonstrate a competency in mathematical tools of decision making, including derivatives and analytical optimization; Demonstrate an understanding of descriptive statistics, hypothesis testing, and the theory of regression; Demonstrate competency in the use of software used in quantitative analysis, including Excel tools and statistical software. This textbook is organized to support you in these goals. The textbook is adapted from Contemporary Calculus, written by Dale Hoffman from Bellevue Community College and Business Calculus written by Shana Calaway from Shoreline Community College. New material is written by Margo Bergman from University of Washington Tacoma.

Material Type: Textbook

Author: Margo Bergman

How to Process, Analyze and Visualize Data, January IAP 2012

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This course is an introduction to data cleaning, analysis and visualization. We will teach the basics of data analysis through concrete examples. You will learn how to take raw data, extract meaningful information, use statistical tools, and make visualizations. This was offered as a non-credit course during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Material Type: Full Course

Authors: Adam Marcus, Eugene Wu

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