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Planning for Learning: Formative Assessment
by Andrea Mapplebeck , Chris Harrison , Dylan Wiliam- 0.0
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Develop the way you use evidence of student understanding to inform your teaching and enable learning during and across lessons. Planning for learning as formative practice Examples of collecting evidence Planning using learning intentions Identifying successful learning Classroom examples of questioning Planning for learning with students Planning for learning with colleagues...
Free
New Learning: Principles and Patterns of Pedagogy
by Dr William Cope , Dr Mary Kalantzis- 4.7
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Approx. 15 hours to complete
Education is in a state of flux – transitioning from traditional architectures and practices to new ecologies of teaching and learning influenced by the tremendous social and technological changes of our times. The Learning Design and Leadership Series of MOOCs Multimodal Literacies: Communication and Learning in the Era of Digital Media...
Organizational Behavior: How to Manage People
by Anneloes Raes- 4.7
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Approx. 14 hours to complete
Peter Drucker, a pioneer in the field of management, once said that people have a perverse tendency to behave like human beings. Of course, we are not machines, and certainly not programmable. - The Nature of Our Jobs, Part 1 - The Three Levels of Culture - Rijk Zwaan’s Levels of Culture...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
By the end of the course, you will be able to clearly define a machine learning problem using two approaches. This is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. The Machine Learning Process The Three Kinds of Machine Learning...
Literacy Teaching and Learning: Aims, Approaches and Pedagogies
by Dr William Cope , Dr Mary Kalantzis- 4.3
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Approx. 16 hours to complete
The Learning Design and Leadership Series of MOOCs This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. Theory and Practice of Literacies Learning and Teaching 2 The Content Focus of Critical Literacies Learning...
Evaluations of AI Applications in Healthcare
by Tina Hernandez-Boussard , Mildred Cho- 4.5
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Approx. 11 hours to complete
With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions. Examples of AI in Healthcare Real World Examples of AI Bias...
AI For Everyone
by Andrew NgTop Instructor- 4.8
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Approx. 7 hours to complete
Machine Learning The terminology of AI What machine learning can and cannot do More examples of what machine learning can and cannot do Non-technical explanation of deep learning (Part 1, optional) Non-technical explanation of deep learning (Part 2, optional) Workflow of a machine learning project Workflow of a data science project...
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Introduction to Algae
by Dr. Stephen Mayfield , Ira "Ike" Levine- 4.7
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Approx. 10 hours to complete
Department of Energy. Algae are an extremely diverse group of organisms that can be found in almost every ecosystem on the planet, and they play an essential role for life on earth. The Evolution and Diversity of Algae Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives...
Learning Technologies Foundations and Applications
by Wenhao David Huang- 4.5
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Approx. 8 hours to complete
This course, Learning Technologies Foundations and Applications, is one of the two four-week MOOC courses that form part of Instructional Design MasterTrack Certificate. Justify the selection of learning technologies for solving organizational problems based on evidence and best practices. Role of Learning Technologies and Career Paths Module 2: The Evolvement of Learning Technologies...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. At the end of this course, you will master the various machine learning techniques in investment management. Machine learning techniques for robust estimation of factor models References for module 2"Machine learning techniques for robust estimation of factor models"...
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