Elsevier Adaptive Quizzing for Lewis Medical-Surgical Nursing - Classic Version, 11th Edition
Elsevier Adaptive Quizzing - Classic
Elsevier Adaptive Quizzing (EAQ) is the fun and engaging way to focus your study time and effectively prepare for class, course exams, and summative exams. EAQ is comprised of a bank of high-quality practice questions that allows you to advance at your own pace — based on your performance — through multiple mastery levels for each chapter. A comprehensive dashboard allows you to view your progress and stay motivated.
Duration for access to this product, which may be at the discretion of your institution, is up to 36 months. Elsevier reserves the right to restrict or remove access due to changes in product portfolio or other market conditions.
- UNIQUE! Elsevier’s trusted, market-leading content serves as the foundation for all questions, which are written, reviewed, and leveled by experienced educators, item writers, and authors.
- Confidence level indicators allow you to indicate your confidence when submitting answers, providing valuable insight into areas where you might be overconfident and require further study.
- UNIQUE! Practice in Study Mode, which provides immediate feedback, or in Exam Mode where the quiz is timed and results are summarized at the end.
- UNIQUE! In addition to detailed rationales for each question, select questions include interactive, multimedia resources such as illustrations, animations, videos, audio clips, summary tables, and study tips to help you master challenging material.
- Engaging, easy-to-use interface ensures that you can navigate through the program with ease.
- Multiple mastery levels for each chapter allow you to progress from one level to the next based on your performance.
- Alternate item format questions — including multiple-response, fill-in-the-blank, prioritizing, graphic options, chart/exhibit, video, audio, and hot spot — provide valuable summative exam preparation.
- A comprehensive dashboard allows you to view your personal learning progress with summaries of your strengths, weaknesses, mastery levels, and normative data.
Mariann M Harding, PhD RN CNE, Professional Title: Associate Professor of Nursing Affiliation: Kent State University Tuscarawas City, State of Affiliation New Philadelphia, Ohio, Sharon L. Lewis, RN, PhD, FAAN, Research Professor, Castella Distinguished Professor, School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, Shannon Ruff Dirksen, RN, PhD, Associate Professor, College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, Margaret M. Heitkemper, RN, PhD, FAAN, Professor and Chairperson, Biobehavioral Nursing and Health Systems, Elizabeth Sterling Soule Endowed Chair in Nursing, School of Nursing; Adjunct Professor, Division of Gastroenterology, School of Medicine, University of Washington, Seattle, WA and Linda Bucher, RN, PhD, CEN, CNE, Professor, School of Nursing, University of Delaware, Newark, DE; Staff Nurse, Emergency Department, Virtua Memorial Hospital, Mt. Holly, NJ