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 ...

Preamble: To study history is to develop a disciplined way of making sense of the world by inquiring about the past. The History Department has identified a common set of learning objectives that are ...

Specific review standards 2.1 and 2.2 are the foundation of the alignment standards for Quality Matters just as the learning objectives are the foundation of course design. Standard 2.1 requires that ...

After the student learning objectives are defined, the next step is to make sure students have an opportunity to learn and meet the objectives. After the student learning objectives are developed for ...

Having good learning goals (also called "learning objectives" or "learning outcomes") is key to taking an evidence-based approach to education. This means faculty members laying out learning goals for ...

Learning outcomes has become a focus in education policy and pedagogy. But schools need to move beyond textbook learning and education should shift focus from rigid learning objectives to achieving ...

Assessment of course quality, student learning, and professor effectiveness has become paramount in many of today’s universities and colleges. We seem always to strive for a better way to assess our ...

Brief description of learning objective: Students will learn how to systematically analyze human social conditions (e.g., individuals, groups, communities and cultures). In particular, students will ...

Applied learning is a practical approach that is supported by research to increase student motivation, foster student-centered instruction, and provide real world application. It is also an ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...