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Inhaltsangabe
Connect Math Hosted by ALEKS is an online assignment and assessment platform that helps students connect to their coursework and prepares them to succeed. An integrated ALEKS Initial Assessment helps you understand what your students know and are ready to learn next. This system is built by educators for educators. Content is produced and vetted by our market leading authors to ensure a single voice with your textbook. Built in a highly intuitive platform, course creation is simplified, saving you time while vastly improving student performance.
LearnSmart uses revolutionary adaptive technology to build a learning experience unique to each student’s individual needs. It starts by identifying the topics a student knows and does not know. As the student progresses, LearnSmart adapts and adjusts the content based on his or her individual strengths, weaknesses and confidence, ensuring that every minute spent studying with LearnSmart is the most efficient and productive study time possible.
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Reseña del editor
Connect Math Hosted by ALEKS is an online assignment and assessment platform that helps students connect to their coursework and prepares them to succeed. An integrated ALEKS Initial Assessment helps you understand what your students know and are ready to learn next. This system is built by educators for educators. Content is produced and vetted by our market leading authors to ensure a single voice with your textbook. Built in a highly intuitive platform, course creation is simplified, saving you time while vastly improving student performance.
LearnSmart uses revolutionary adaptive technology to build a learning experience unique to each student’s individual needs. It starts by identifying the topics a student knows and does not know. As the student progresses, LearnSmart adapts and adjusts the content based on his or her individual strengths, weaknesses and confidence, ensuring that every minute spent studying with LearnSmart is the most efficient and productive study time possible.
Biografía del autor
William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. He received the B.A. degree in mathematics from New College, the M.A. in mathematics from Michigan State University, and the Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 50 research papers both in statistical theory and in a wide variety of applications including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
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