Opinions expressed by Entrepreneur contributors are their own. Think about learning. We all experience learning differently. Most of us took part in one or other forms of formal education — took a ...

Have you or your program conducted and completed the analysis steps? Then, you are ready to begin the Backwards Design process for creating your course and developing learning goals, objectives, and ...

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 ...

Last year, 27% of companies surveyed were spending more on training and development, and more than half were using eLearning or online training. And yet, 92% of executives can’t see the return on ...

Pick one of your current course learning outcomes or create a new one based on a topic you teach. Evaluate the outcome using these questions: Is it specific and measurable? Does it focus on observable ...

Many trainers have faced the perplexing task of changing the material or content of their presentations for specific circumstances and learners. Whether creating a singular new class or continuing a ...

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 ...

Every firm leader is looking for the "secret sauce" to attract and retain top talent. While there's no one-size-fits-all answer to that problem, one aspect of becoming an employer of choice is ...

These learning outcomes reflect our curricular investments across the undergraduate programs. Students in the GWST major will be expected to have broader knowledge across these areas. Minor students ...

Brief description of learning objective: Students will apply techniques of critical analysis to the study and interpretation of the arts (which includes such disciplines as dance, music, theater, ...

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