Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

Learn about types of machine learning and take inspiration from seven real world examples and eight examples directly applied to SEO. As an SEO professional, you’ve heard about ChatGPT and BARD – or ...

You may have heard about deep learning and felt like it was an area of data science that is incredibly intimidating. How could you possibly get machines to learn like humans? And, an even scarier ...

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...

The first step in an assessment cycle is to identify the learning outcomes that should occur for each Program. A well-formulated set of Program Learning Outcomes (PLO) will describe what a faculty ...

Student learning outcomes (SLOs) in our academic and co-curricular programs reflect the specific types of learning (knowledge, skills, dispositions) we expect as a result of students’ educational ...

Teaching techniques refer to the diverse array of strategies and methodologies employed by educators to engage students and facilitate effective learning experiences. What are some examples of ...

Traditional educational practices are not always effective. Many students feel overwhelmed and tired of the commonly used teaching methods.

The higher education lore is that faculty members cannot agree on anything. Like other myths, this accepted folk wisdom is far from the truth. Indeed, over the course of our careers, we have ...