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Abstract Calibrated Peer Review (CPR) is a system developed at UCLA for coordinating and evaluating peer reviews of student work. In CPR, students review one another's assignments in an anonymous system, providing feedback to other students while also learning how to recognize strengths and weaknesses of their own efforts. Peer review might hold particular promise for MOOCs and other high-enrollment courses that struggle with assessment and feedback, though the benefits of peer review can apply to any community of learners, large or small. The 7 Things You Should Know About... series from the EDUCAUSE Learning Initiative (ELI) provides concise information on emerging learning technologies. Each brief focuses on a single technology and describes what it is, where it is going, and why it matters to teaching and learning. Use these briefs for a no-jargon, quick overview of a topic and share them with time-pressed colleagues.

"Abstract Competency-based education (CBE) awards academic credit based on mastery of clearly defined competencies. CBE replaces the conventional model in which time is fixed and learning is variable with a model in which the time is variable and the learning is fixed. CBE is built around clearly defined competencies and measurable learning objectives that demonstrate mastery of those competencies. Measuring learning by competency is not new, but various challenges facing higher education, combined with new models and technologies, have brought a new focus on CBE. A growing number of competency-based programs have been developed at all levels of instruction. CBE capitalizes on the potential of online learning, enabling new models that can reduce both the cost and time needed to earn credentials while better preparing students for their professional lives. The 7 Things You Should Know About... series from the EDUCAUSE Learning Initiative (ELI) provides concise information on emerging learning technologies. Each brief focuses on a single technology and describes what it is, where it is going, and why it matters to teaching and learning. Use these briefs for a no-jargon, quick overview of a topic and share them with time-pressed colleagues."

"An intelligent tutoring system is computer software designed to simulate a human tutor's behavior and guidance. Because these systems are able to interpret complex student responses and can learn as they operate, they are able to discern where and why a student's understanding has gone astray and to offer hints to help the student understand the material at hand. Intelligent tutors provide many of the benefits of a human tutor to very large numbers of students. Intelligent tutoring systems can also provide real-time data to instructors and developers looking to refine teaching methods."