The purpose of this template is to allow the user to unpack the 7th grade visual art National Core Arts Standards (NCAS) into task-specific or task-neutral learning targets that then can be used during instruction and/or within an assessment tool like a rubric.
The Unpacking Process:
1. Take a look at the performance standard (7th grade) and pull out the nouns, or what students need to know.
2. Next pull out what students need to be able to do (the verbs).
3. Write learning targets or I can statements. When writing ask yourself, “What does this look like in student work?”
8th Grade Historical Literacy consists of two 43 minute class periods. Writing is one 43 minute block and reading is another. The teacher has picked themes based on social studies standards, and a read-aloud novel based on social studies serves as the mentor text for writing and reading skills. More social studies content is addressed in reading through teaching nonfiction reading skills and discussion.
Standards reflect CCSS ELA, Reading, and Social Studies Standards.
Students and professionals in science, design and technology have to develop and communicate concepts that are often difficult to comprehend for the public, their peers and even themselves.
IMAGE | ABILITY – Visualizing the Unimaginable, will help you enhance your communication and interpersonal skills and provide insight, tips and tricks to make such complex and seemingly unimaginable concepts and ideas imaginable.
After finishing this course you will be more skilled in finding the right visual language to convey your ideas, thoughts and vision. You will be able to illustrate units and quantities, concepts and themes and you will know how to unravel complexity by using diagrams and schemes.
Austin Community College (ACC) Learn OER includes a series of self-paced online learning modules. The first nine modules will serve as an introduction to open educational resources (OER) and as an opportunity for further exploration and discovery of open education practices. The tenth module serves as a final assessment of your learning. Throughout the modules there are opportunities for you to test your knowledge and further explore a concept. The modules allow you to learn at your own pace. While you can follow the modules in any order, it is recommended that you start with Module 1 and progress through in order.
A course originally designed as competency-based courses and as such, they include specific language related to CBE style instruction and they are organized by competency so some terminology changes and course restructuring may be required in order to fit well into a quarterly schedule.
Principles of Accounting II is a course from a competency-based business degree pilot. You must be logged into your institutional Canvas account to access this shell.
Principles of Accounting III is a course from a competency-based business degree pilot. You must be logged into your institutional Canvas account to access this shell.
AIRS is an open source set of online modules and resources in research skills and knowledge. It provides the grounding in research processes with practical tools to support you.
AIRS is a mandatory coursework requirement for Higher Degree Research (HDR) students enrolled in a Doctor of Philosophy (PhD) or Master of Philosophy (MPhil), at the Queensland University of Technology (QUT).
This resource includes traditional writing prompts as well as prompts and assignments that utilize AI-generated text. It covers the fields of Creative Writing, Composition, and Business and Technical Writing.
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.
This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization.
To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases.
As part of our two-course program ‘AI in Practice’, this course will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications.
The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN.
‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization.
This course, AI in Practice: Preparing for AI, is the 1st course of the online education program AI in Practice. The course gives you a kaleidoscope of examples of applications of AI in various organizations, outlines the state of the art in modern AI research, and provides practical tools for integrating AI into your own organization. The program AI in Practice is built from two initial courses, AI in Practice: Preparing for AI and AI in Practice: Applying AI.
The AI in Practice: Preparing for AI course is designed for people who want to apply AI in their own practical situation.
For the experienced manager who wants to know what AI can do for her own organization.
For the data analyst or business consultant who wants to understand how AI can be applied in the business processes of the company for which they work.
For the student who wants to understand how the results of AI research can be translated into practical applications.
Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems.
A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.
Canvas course developed by Tabitha Raber (Taft College and Bakersfield College).
Course PurposeWelcome to AJS-200 Current Issues in Criminal JusticeIn this course, we will be studying the major current issues facing the criminal justice system. We will use as our starting point the 2015 President's 21st Century Policing Task Force report on the police. This report came about after the death of Michael Brown, shot and killed by a Ferguson Missouri police officer. Many of the significant challenges to the way policing is carried out today came about following that one event. This course will allow you the student to examine the different calls for police reform and research the pros and cons of each. This course is an OER course meaning that there is NO TEXTBOOK to purchase. Instead, we will identify and use as our training material the governmental documents and other open resource documents on the internet to gain our insights into the topic of each week.
A continuation of MATH 2253. Topics include differentiation and integration of transcendental functions,
integration techniques, indeterminate forms, infinite sequences and series, Taylor and Maclaurin series,
parametric equations, L'Hopital's Rule, improper integrals, and polar coordinates.