online education

5 Skills I Learned From Critiques
online education

5 Skills I Learned From Critiques

- by Mary Lebowitz

Critiques are a valuable part of the learning process. They can help you understand your own work, and they can also help you understand how others view your work. But critiques can also be difficult! If we don’t know what to expect from a critique or how to interpret it appropriately, then critiquing someone else’s writing can feel like an exercise in futility.

In this post, I’ll share five skills that I learned about myself after being on both sides of the table: as a writer receiving feedback from my peers and as an editor giving feedback to other writers. These skills have helped me become not only more efficient with my own projects but also more effective at helping others improve theirs too!

The value of a critique.

Critiques are a valuable opportunity to learn from others. They can be used to help you identify areas where you are doing well and where you can improve, as well as get feedback on your work, performance or attitude.

A critique is an evaluation of a piece of writing done by at least two people who have read it carefully enough to provide useful comments. Typically these will be peers (people with similar skills), but they may also be instructors or editors. The first step in getting ready for a critique is making sure that your writing has been proofread by someone else before submitting it for review; this ensures that typos don’t distract readers from seeing what’s important about what …

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Learning Systems Teaching People To Be A Learning System
online education

Learning Systems Teaching People To Be A Learning System

- by Mary Lebowitz

Learning systems are an extremely powerful tool for improving how you learn. These are the systems that use data to help people understand their strengths and weaknesses, helping them to become better learners than they already are. Learning systems can be used in a professional or personal capacity, depending on your needs.

Learning systems include the entire process of gathering, analyzing and using data to improve how people learn.

Learning systems are a way to track your progress and improve how you learn. They can be as simple as keeping a journal, or they can be complex programs that monitor everything from your eye movement to heart rate.

Learning systems include the entire process of gathering, analyzing and using data to improve how people learn.

You can use a learning system if you’re teaching yourself or working with a teacher.

Learning systems are used by both teachers and learners. A learning system helps you understand what you need to learn, how best to learn it, and whether or not your learning is working.

You can use a learning system if you’re teaching yourself or working with a teacher. If you are teaching yourself:

  • Use the tools in this book for self-assessment and reflection on your progress toward your goals (Chapter 4).
  • Use the tools from Chapter 5 (and other chapters) as needed when encountering problems along the way–such as sticking points where progress stops or gaps in understanding that make further progress difficult or impossible without some additional support from
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Building A Hybrid Learning Program That Works
online education

Building A Hybrid Learning Program That Works

- by Mary Lebowitz

Hybrid learning programs have become more and more popular, but they’re not always easy to set up. Here’s what you need to know about hybrid learning programs and how they can help your students succeed.

What is hybrid learning?

Hybrid learning is a combination of online and face-to-face learning, which can be used for students from kindergarten through college. Because it combines both approaches, hybrid learning allows students to work at their own pace and gives them the flexibility to learn in different ways. It also provides teachers or trainers with more opportunities to interact with students in real time, allowing them to guide each learner toward success. Hybrid programs can be used for any subject or content area–from art history to zoology–and are particularly effective when combined with other types of online training (like MOOCs).

The benefits of a hybrid program

Hybrid programs can be more flexible than online programs. Hybrid students are able to learn in a variety of settings, including the classroom and at home. This flexibility allows them to customize their learning experience to meet their needs and schedules. Hybrid programs can also be more efficient than online programs because they require less time away from work or school for travel purposes since students do not have to commute as often as those who participate in fully-online courses.*

  • Source: “Hybrid Learning Programs.” The National Center for Education Statistics (NCES), 21 Jan 2016

Getting started with a hybrid program

As you begin to develop your hybrid learning …

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Resources For Students Taking Business Courses
online education

Resources For Students Taking Business Courses

- by Mary Lebowitz

Are you a business student who’s looking for the right resources to help you along the way? There are many options available, including online courses that allow you to study on-the-go and social media groups that provide support from other students in similar situations. We’ve compiled this list of the best sources so you can find what works best for your learning style!

Resources for Students Taking Business Courses

The resources that you need to succeed in your business courses can be found online. You can take online courses or distance learning, or even hybrid learning where you combine both of these methods. Many universities offer their classes through social media as well.

If you are interested in pursuing a degree from an accredited university but don’t want to relocate your family or leave your job, then this could be the perfect solution for you!

Online Courses

Online courses are a great way to learn from anywhere. You can access them anytime, and they’re accessible to people with disabilities. Plus, if you have a busy schedule or commute to school, online classes may be just what you need to help balance your life while still getting the education you want.

When it comes down to it, though: are online courses really worth it?

Distance Learning

If you’re taking business courses and don’t have the time to physically attend class, distance learning is an option. Distance learning courses are often offered by universities and colleges through an online learning platform where …

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Machine Learning Video Lectures Archive
online education

Machine Learning Video Lectures Archive

- by Mary Lebowitz

Machine learning is a branch of artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed. Machine learning can be used in a wide range of applications, like: computer vision, speech recognition, natural language processing and many others. In this post we provide an overview of machine learning lectures online in order to help you get started with ML or enhance your knowledge if you are already using it.

Machine Learning Video Lectures

The Machine Learning Video Lectures archive contains 10 lectures on the topic of machine learning. The course is available for free on YouTube, but also has a page on Coursera’s website where you can access additional resources and quizzes.

The course is recommended for beginners who have an interest in learning more about how computers learn from data.

Overview of Lectures

This course is about machine learning. It will cover the following topics:

  • The basics of probability and statistics, including distributions and hypothesis testing
  • Classification algorithms (e.g., decision trees, logistic regression)
  • Clustering techniques (k-means clustering)
  • Unsupervised learning methods (e.g., principal components analysis, neural networks).

Machine Learning Overview

Machine learning is a subfield of artificial intelligence that focuses on algorithms that can learn from data. Machine learning is about building algorithms that can learn from data, and it’s a very broad term that encompasses many different types of algorithms, including:

  • Supervised Learning: When you have both input and output data, machine learning algorithms use this information to make predictions about future examples (for example,
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