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| can my open math detect cheating: Calculus Volume 3 Edwin Herman, Gilbert Strang, 2016-03-30 Calculus is designed for the typical two- or three-semester general calculus course, incorporating innovative features to enhance student learning. The book guides students through the core concepts of calculus and helps them understand how those concepts apply to their lives and the world around them. Due to the comprehensive nature of the material, we are offering the book in three volumes for flexibility and efficiency. Volume 3 covers parametric equations and polar coordinates, vectors, functions of several variables, multiple integration, and second-order differential equations. |
| can my open math detect cheating: Local Algebra Jean-Pierre Serre, 2012-12-06 This is an English translation of the now classic Algbre Locale - Multiplicits originally published by Springer as LNM 11. It gives a short account of the main theorems of commutative algebra, with emphasis on modules, homological methods and intersection multiplicities. Many modifications to the original French text have been made for this English edition, making the text easier to read, without changing its intended informal character. |
| can my open math detect cheating: Cheating on Tests Gregory J. Cizek, 1999-07 This volume offers a comprehensive look at the pervasive & weighty problem of cheating on tests. It will appeal to all serious stakeholders in our educational system, from parents & school board members to professionals in schools & the testing industry. |
| can my open math detect cheating: Bayesian Methods for Hackers Cameron Davidson-Pilon, 2015-09-30 Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify. |
| can my open math detect cheating: Small Teaching James M. Lang, 2016-03-07 Employ cognitive theory in the classroom every day Research into how we learn has opened the door for utilizing cognitive theory to facilitate better student learning. But that's easier said than done. Many books about cognitive theory introduce radical but impractical theories, failing to make the connection to the classroom. In Small Teaching, James Lang presents a strategy for improving student learning with a series of modest but powerful changes that make a big difference—many of which can be put into practice in a single class period. These strategies are designed to bridge the chasm between primary research and the classroom environment in a way that can be implemented by any faculty in any discipline, and even integrated into pre-existing teaching techniques. Learn, for example: How does one become good at retrieving knowledge from memory? How does making predictions now help us learn in the future? How do instructors instill fixed or growth mindsets in their students? Each chapter introduces a basic concept in cognitive theory, explains when and how it should be employed, and provides firm examples of how the intervention has been or could be used in a variety of disciplines. Small teaching techniques include brief classroom or online learning activities, one-time interventions, and small modifications in course design or communication with students. |
| can my open math detect cheating: The Sense of an Ending Julian Barnes, 2011-10-05 BOOKER PRIZE WINNER • NATIONAL BESTSELLER • A novel that follows a middle-aged man as he contends with a past he never much thought about—until his closest childhood friends return with a vengeance: one of them from the grave, another maddeningly present. A novel so compelling that it begs to be read in a single setting, The Sense of an Ending has the psychological and emotional depth and sophistication of Henry James at his best, and is a stunning achievement in Julian Barnes's oeuvre. Tony Webster thought he left his past behind as he built a life for himself, and his career has provided him with a secure retirement and an amicable relationship with his ex-wife and daughter, who now has a family of her own. But when he is presented with a mysterious legacy, he is forced to revise his estimation of his own nature and place in the world. |
| can my open math detect cheating: A First Course in Abstract Algebra John B. Fraleigh, 2003* |
| can my open math detect cheating: The Beginning of Infinity David Deutsch, 2011-03-31 'Science has never had an advocate quite like David Deutsch ... A computational physicist on a par with his touchstones Alan Turing and Richard Feynman, and a philosopher in the line of his greatest hero, Karl Popper. His arguments are so clear that to read him is to experience the thrill of the highest level of discourse available on this planet and to understand it' Peter Forbes, Independent In our search for truth, how far have we advanced? This uniquely human quest for good explanations has driven amazing improvements in everything from scientific understanding and technology to politics, moral values and human welfare. But will progress end, either in catastrophe or completion - or will it continue infinitely? In this profound and seminal book, David Deutsch explores the furthest reaches of our current understanding, taking in the Infinity Hotel, supernovae and the nature of optimism, to instill in all of us a wonder at what we have achieved - and the fact that this is only the beginning of humanity's infinite possibility. 'This is Deutsch at his most ambitious, seeking to understand the implications of our scientific explanations of the world ... I enthusiastically recommend this rich, wide-ranging and elegantly written exposition of the unique insights of one of our most original intellectuals' Michael Berry, Times Higher Education Supplement 'Bold ... profound ... provocative and persuasive' Economist 'David Deutsch may well go down in history as one of the great scientists of our age' Scotsman |
| can my open math detect cheating: Conning Harvard Julie Zauzmer, Xi Yu, 2013-09-03 In 2011 a 24-year-old man pled guilty to falsifying his application to Harvard University, bilking the world’s most prestigious university out of more than $45,000 in prizes and scholarships. Using forged SAT scores, transcripts, and letters of recommendation, Adam Wheeler outsmarted Harvard's admissions office and then went even further. Once accepted into the Ivy League he kept lying, cheating, and succeeding, winning thousands of dollars in prizes and grants. But then he shot too far. During his senior year, Wheeler applied for Rhodes and Fulbright scholarships, a gamble that finally exposed his extensive tangle of lies. Alerted that he was under suspicion, Wheeler fled Harvard but did not stop. He successfully filed more fraudulent applications at top-tier schools across the country, until some vigilant admissions officers, Massachusetts police, and even his own parents forced him off his computer and into court. As reporters for The Harvard Crimson, Julie Zauzmer and Xi Yu covered the case from the moment the news of Wheeler’s indictment broke. In the course of their reporting, they interviewed dozens of friends, roommates, teachers, and advisors who knew Wheeler at the many phases of his suspect academic career. Their fascinating account reveals how one serial scammer took on the competitive world of the Ivy League—and almost won. |
| can my open math detect cheating: Surfing Uncertainty Andy Clark, 2016 Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind. |
| can my open math detect cheating: Leave a Cheater, Gain a Life Tracy Schorn, 2016-05-10 Leave a Cheater, Gain a Life is a no-nonsense self-help guide for anyone who has ever been cheated on. Here's advice not based on saving your relationship after infidelity -- but saving your sanity. When it comes to cheating, a lot of the attention is focused on cheaters -- their unmet needs or their challenges with monogamy. But Tracy Schorn (aka Chump Lady) lampoons such blameshifting and puts the focus squarely on the-cheated-upon (chumps) and their needs. Combining solid advice that champions self-respect, along with hilarious cartoons satirizing the pomposity of cheaters, Leave a Cheater, Gain a Life offers a fresh voice for chumps who want (and need) a new message about infidelity. This book will offer advice on Stupid sh*t cheaters say and how to respond, Rookie mistakes of the recently chumped and how to disarm your fears, Why chumps take the blame and how to protect yourself, and more. Full of snark, sass, and real wisdom about how to bounce back after the gut blow of betrayal, Schorn is the friend who guides you through this nightmare and gives you hope for a better life ahead. |
| can my open math detect cheating: Super Thinking Gabriel Weinberg, Lauren McCann, 2019-06-18 A WALL STREET JOURNAL BESTSELLER! You can't really know anything if you just remember isolated facts. If the facts don't hang together on a latticework of theory, you don't have them in a usable form. You've got to have models in your head. - Charlie Munger, investor, vice chairman of Berkshire Hathaway The world's greatest problem-solvers, forecasters, and decision-makers all rely on a set of frameworks and shortcuts that help them cut through complexity and separate good ideas from bad ones. They're called mental models, and you can find them in dense textbooks on psychology, physics, economics, and more. Or, you can just read Super Thinking, a fun, illustrated guide to every mental model you could possibly need. How can mental models help you? Well, here are just a few examples... • If you've ever been overwhelmed by a to-do list that's grown too long, maybe you need the Eisenhower Decision Matrix to help you prioritize. • Use the 5 Whys model to better understand people's motivations or get to the root cause of a problem. • Before concluding that your colleague who messes up your projects is out to sabotage you, consider Hanlon's Razor for an alternative explanation. • Ever sat through a bad movie just because you paid a lot for the ticket? You might be falling prey to Sunk Cost Fallacy. • Set up Forcing Functions, like standing meeting or deadlines, to help grease the wheels for changes you want to occur. So, the next time you find yourself faced with a difficult decision or just trying to understand a complex situation, let Super Thinking upgrade your brain with mental models. |
| can my open math detect cheating: Cheating Lessons James M. Lang, 2013-09-02 Cheating Lessons is a guide to tackling academic dishonesty at its roots. James Lang analyzes the features of course design and classroom practice that create cheating opportunities, and empowers teachers to build more effective learning environments. Instructors who curb academic dishonesty become better educators in other ways as well. |
| can my open math detect cheating: Teaching at Its Best Linda B. Nilson, 2010-04-20 Teaching at Its Best This third edition of the best-selling handbook offers faculty at all levels an essential toolbox of hundreds of practical teaching techniques, formats, classroom activities, and exercises, all of which can be implemented immediately. This thoroughly revised edition includes the newest portrait of the Millennial student; current research from cognitive psychology; a focus on outcomes maps; the latest legal options on copyright issues; and how to best use new technology including wikis, blogs, podcasts, vodcasts, and clickers. Entirely new chapters include subjects such as matching teaching methods with learning outcomes, inquiry-guided learning, and using visuals to teach, and new sections address Felder and Silverman's Index of Learning Styles, SCALE-UP classrooms, multiple true-false test items, and much more. Praise for the Third Edition of Teaching at Its BestEveryone veterans as well as novices will profit from reading Teaching at Its Best, for it provides both theory and practical suggestions for handling all of the problems one encounters in teaching classes varying in size, ability, and motivation. Wilbert McKeachie, Department of Psychology, University of Michigan, and coauthor, McKeachie's Teaching TipsThis new edition of Dr. Nilson's book, with its completely updated material and several new topics, is an even more powerful collection of ideas and tools than the last. What a great resource, especially for beginning teachers but also for us veterans! L. Dee Fink, author, Creating Significant Learning ExperiencesThis third edition of Teaching at Its Best is successful at weaving the latest research on teaching and learning into what was already a thorough exploration of each topic. New information on how we learn, how students develop, and innovations in instructional strategies complement the solid foundation established in the first two editions. Marilla D. Svinicki, Department of Psychology, The University of Texas, Austin, and coauthor, McKeachie's Teaching Tips |
| can my open math detect cheating: Mathematics and Computation Avi Wigderson, 2019-10-29 From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography |
| can my open math detect cheating: Computational Complexity Sanjeev Arora, Boaz Barak, 2009-04-20 New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students. |
| can my open math detect cheating: Small Teaching Online Flower Darby, James M. Lang, 2019-05-15 Find out how to apply learning science in online classes The concept of small teaching is simple: small and strategic changes have enormous power to improve student learning. Instructors face unique and specific challenges when teaching an online course. This book offers small teaching strategies that will positively impact the online classroom. This book outlines practical and feasible applications of theoretical principles to help your online students learn. It includes current best practices around educational technologies, strategies to build community and collaboration, and minor changes you can make in your online teaching practice, small but impactful adjustments that result in significant learning gains. Explains how you can support your online students Helps your students find success in this non-traditional learning environment Covers online and blended learning Addresses specific challenges that online instructors face in higher education Small Teaching Online presents research-based teaching techniques from an online instructional design expert and the bestselling author of Small Teaching. |
| can my open math detect cheating: The Hungry Brain Stephan J. Guyenet, Ph.D., 2017-02-07 A Publishers Weekly Best Book of the Year From an obesity and neuroscience researcher with a knack for engaging, humorous storytelling, The Hungry Brain uses cutting-edge science to answer the questions: why do we overeat, and what can we do about it? No one wants to overeat. And certainly no one wants to overeat for years, become overweight, and end up with a high risk of diabetes or heart disease--yet two thirds of Americans do precisely that. Even though we know better, we often eat too much. Why does our behavior betray our own intentions to be lean and healthy? The problem, argues obesity and neuroscience researcher Stephan J. Guyenet, is not necessarily a lack of willpower or an incorrect understanding of what to eat. Rather, our appetites and food choices are led astray by ancient, instinctive brain circuits that play by the rules of a survival game that no longer exists. And these circuits don’t care about how you look in a bathing suit next summer. To make the case, The Hungry Brain takes readers on an eye-opening journey through cutting-edge neuroscience that has never before been available to a general audience. The Hungry Brain delivers profound insights into why the brain undermines our weight goals and transforms these insights into practical guidelines for eating well and staying slim. Along the way, it explores how the human brain works, revealing how this mysterious organ makes us who we are. |
| can my open math detect cheating: Higher Education Opportunity Act United States, 2008 |
| can my open math detect cheating: Teaching and Learning STEM Richard M. Felder, Rebecca Brent, 2024-03-19 The widely used STEM education book, updated Teaching and Learning STEM: A Practical Guide covers teaching and learning issues unique to teaching in the science, technology, engineering, and math (STEM) disciplines. Secondary and postsecondary instructors in STEM areas need to master specific skills, such as teaching problem-solving, which are not regularly addressed in other teaching and learning books. This book fills the gap, addressing, topics like learning objectives, course design, choosing a text, effective instruction, active learning, teaching with technology, and assessment—all from a STEM perspective. You’ll also gain the knowledge to implement learner-centered instruction, which has been shown to improve learning outcomes across disciplines. For this edition, chapters have been updated to reflect recent cognitive science and empirical educational research findings that inform STEM pedagogy. You’ll also find a new section on actively engaging students in synchronous and asynchronous online courses, and content has been substantially revised to reflect recent developments in instructional technology and online course development and delivery. Plan and deliver lessons that actively engage students—in person or online Assess students’ progress and help ensure retention of all concepts learned Help students develop skills in problem-solving, self-directed learning, critical thinking, teamwork, and communication Meet the learning needs of STEM students with diverse backgrounds and identities The strategies presented in Teaching and Learning STEM don’t require revolutionary time-intensive changes in your teaching, but rather a gradual integration of traditional and new methods. The result will be a marked improvement in your teaching and your students’ learning. |
| can my open math detect cheating: Agnostic-Ish Josh Buoy, 2016-04-09 This is a book about science, religion, and the world in between. I was born into a Christian family, but fell out of religion and in love with the scientific method. I had little need of faith, I thought, when science could tell me so much more about the world, and ask so little of me in return. But as I aged into young adulthood, a new chapter of my story began. Did I really know why I believed what I believed? How could I be so certain of my convictions when I hadn't even honestly considered the evidence? This book traces my journey through the furthest reaches of thought, a journey that took me through the realms of psychology, biology, physics, and belief. Could I find a place for faith in the modern world? Or was I right to cast it off as I did? |
| can my open math detect cheating: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| can my open math detect cheating: Working Effectively with Legacy Code Michael Feathers, 2004-09-22 Get more out of your legacy systems: more performance, functionality, reliability, and manageability Is your code easy to change? Can you get nearly instantaneous feedback when you do change it? Do you understand it? If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts. In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars: techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include Understanding the mechanics of software change: adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform—with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structure This book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes. |
| can my open math detect cheating: The Book of Why Judea Pearl, Dana Mackenzie, 2018-05-15 A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence Correlation is not causation. This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why. |
| can my open math detect cheating: Learning disabilities screening and evaluation guide for low- and middle-income countries Anne M. Hayes, Eileen Dombrowski, Allison H. Shefcyk, Jennae Bulat, 2018-04-29 Learning disabilities are among the most common disabilities experienced in childhood and adulthood. Although identifying learning disabilities in a school setting is a complex process, it is particularly challenging in low- and middle-income countries that lack the appropriate resources, tools, and supports. This guide provides an introduction to learning disabilities and describes the processes and practices that are necessary for the identification process. It also describes a phased approach that countries can use to assess their current screening and evaluation services, as well as determine the steps needed to develop, strengthen, and build systems that support students with learning disabilities. This guide also provides intervention recommendations that teachers and school administrators can implement at each phase of system development. Although this guide primarily addresses learning disabilities, the practices, processes, and systems described may be also used to improve the identification of other disabilities commonly encountered in schools. |
| can my open math detect cheating: Teaching Engineering, Second Edition Phillip C. Wankat, Frank S. Oreovicz, 2015-01-15 The majority of professors have never had a formal course in education, and the most common method for learning how to teach is on-the-job training. This represents a challenge for disciplines with ever more complex subject matter, and a lost opportunity when new active learning approaches to education are yielding dramatic improvements in student learning and retention. This book aims to cover all aspects of teaching engineering and other technical subjects. It presents both practical matters and educational theories in a format useful for both new and experienced teachers. It is organized to start with specific, practical teaching applications and then leads to psychological and educational theories. The practical orientation section explains how to develop objectives and then use them to enhance student learning, and the theoretical orientation section discusses the theoretical basis for learning/teaching and its impact on students. Written mainly for PhD students and professors in all areas of engineering, the book may be used as a text for graduate-level classes and professional workshops or by professionals who wish to read it on their own. Although the focus is engineering education, most of this book will be useful to teachers in other disciplines. Teaching is a complex human activity, so it is impossible to develop a formula that guarantees it will be excellent. However, the methods in this book will help all professors become good teachers while spending less time preparing for the classroom. This is a new edition of the well-received volume published by McGraw-Hill in 1993. It includes an entirely revised section on the Accreditation Board for Engineering and Technology (ABET) and new sections on the characteristics of great teachers, different active learning methods, the application of technology in the classroom (from clickers to intelligent tutorial systems), and how people learn. |
| can my open math detect cheating: A Guide to Stoicism St. George Stock, 2010-07-01 One of the most influential schools of classical philosophy, stoicism emerged in the third century BCE and later grew in popularity through the work of proponents such as Seneca and Epictetus. This informative introductory volume provides an overview and brief history of the stoicism movement. |
| can my open math detect cheating: Cheating in College Donald L. McCabe, Kenneth D. Butterfield, Linda K. Treviño, 2012-09-11 Today’s students are tomorrow’s leaders, and the college years are a critical period for their development of ethical standards. Cheating in College explores how and why students cheat and what policies, practices, and participation may be useful in promoting academic integrity and reducing cheating. The authors investigate trends over time, including internet-based cheating. They consider personal and situational explanations, such as the culture of groups in which dishonesty is more common (such as business majors) and social settings that support cheating (such as fraternities and sororities). Faculty and administrators are increasing their efforts to promote academic honesty among students. Orientation and training sessions, information on college and university websites, student handbooks that describe codes of conduct, honor codes, and course syllabi all define cheating and establish the consequences. Based on the authors’ multiyear, multisite surveys, Cheating in College quantifies and analyzes student cheating to demonstrate why academic integrity is important and to describe the cultural efforts that are effective in restoring it. -- Gary Pavela, Syracuse University |
| can my open math detect cheating: OpenIntro Statistics David Diez, Christopher Barr, Mine Çetinkaya-Rundel, 2015-07-02 The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources. |
| can my open math detect cheating: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
| can my open math detect cheating: The Art of Game Design Jesse Schell, 2008-08-04 Anyone can master the fundamentals of game design - no technological expertise is necessary. The Art of Game Design: A Book of Lenses shows that the same basic principles of psychology that work for board games, card games and athletic games also are the keys to making top-quality videogames. Good game design happens when you view your game from many different perspectives, or lenses. While touring through the unusual territory that is game design, this book gives the reader one hundred of these lenses - one hundred sets of insightful questions to ask yourself that will help make your game better. These lenses are gathered from fields as diverse as psychology, architecture, music, visual design, film, software engineering, theme park design, mathematics, writing, puzzle design, and anthropology. Anyone who reads this book will be inspired to become a better game designer - and will understand how to do it. |
| can my open math detect cheating: The Perfect Bet Adam Kucharski, 2016-02-23 An elegant and amusing account of how gambling has been reshaped by the application of science and revealed the truth behind a lucky bet (Wall Street Journal). For the past 500 years, gamblers-led by mathematicians and scientists-have been trying to figure out how to pull the rug out from under Lady Luck. In The Perfect Bet, mathematician and award-winning writer Adam Kucharski tells the astonishing story of how the experts have succeeded, revolutionizing mathematics and science in the process. The house can seem unbeatable. Kucharski shows us just why it isn't. Even better, he demonstrates how the search for the perfect bet has been crucial for the scientific pursuit of a better world. |
| can my open math detect cheating: Course in General Linguistics Ferdinand de Saussure, 1986 Reconstructed from lecture notes of his students, these are the best records of the theories of Ferdinand De Saussure, the Swiss linguist whose theories of language are acknowledged as a primary source of the twentieth century movement known as Structuralism. |
| can my open math detect cheating: PSAT 8/9 Prep 2020-2021: PSAT 8/9 Prep 2020 and 2021 with Practice Test Questions [2nd Edition] Test Prep Books, 2020-01-21 PSAT 8/9 Prep 2020-2021: PSAT 8/9 Prep 2020 and 2021 with Practice Test Questions [2nd Edition] Developed by Test Prep Books for test takers trying to achieve a passing score on the PSAT exam, this comprehensive study guide includes: -Quick Overview -Test-Taking Strategies -Introduction -Reading Test -Writing and Language Test -Math Test -Practice Questions -Detailed Answer Explanations Disclaimer: PSAT/NMSQT(R) is a trademark registered by the College Board and the National Merit Scholarship Corporation, which are not affiliated with, and do not endorse, this product. Each section of the test has a comprehensive review created by Test Prep Books that goes into detail to cover all of the content likely to appear on the PSAT test. The Test Prep Books PSAT practice test questions are each followed by detailed answer explanations. If you miss a question, it's important that you are able to understand the nature of your mistake and how to avoid making it again in the future. The answer explanations will help you to learn from your mistakes and overcome them. Understanding the latest test-taking strategies is essential to preparing you for what you will expect on the exam. A test taker has to not only understand the material that is being covered on the test, but also must be familiar with the strategies that are necessary to properly utilize the time provided and get through the test without making any avoidable errors. Test Prep Books has drilled down the top test-taking tips for you to know. Anyone planning to take this exam should take advantage of the PSAT study guide review material, practice test questions, and test-taking strategies contained in this Test Prep Books study guide. |
| can my open math detect cheating: Before the Sandpaper Letters Matt Bronsil, 2019-10-27 Many Montessori teachers know what to do in the 3-6 classroom when it comes to the sandpaper letters and movable alphabet. Still, many are unsure what to do before that to help children learn to read and write.Phonological awareness is a critical, but often overlooked, part of the curriculum. This is true in Montessori and traditional settings. Before the Sandpaper Letters provides a lot of practical advice and activities from a seasoned Montessori teacher. You'll learn such things as print awareness, word awareness, rhyming, and phonemic awareness. This book also comes with a glossary of reading terms to help you better learn and communicate in the field. This is what every Montessori teacher should know, but may not have gotten in their training. |
| can my open math detect cheating: Statistics of the Class Yale University. Class of 1848, 1852 |
| can my open math detect cheating: The Critical Reader Erica L. Meltzer, 2015 Intended to clearly and systematically demystify what is often considered the most challenging section of the SAT, The Critical Reader, 2nd Edition, provides a comprehensive review of the reading skills tested on the redesigned exam for students who are serious about raising their scores. Includes: -A chapter-by-chapter breakdown of question types, with in-depth explanations and numerous examples demonstrating how to work through each type. -Techniques for comprehending complex passages and identifying key information quickly and efficiently. -Extensive strategies for simplifying and answering paired supporting evidence questions as well as informational graphic questions. -A list of alternate definitions of common words, plus strategies for using context clues to decipher the meaning of unfamiliar vocabulary. To allow students to apply the strategies outlined in this book to College Board material while focusing on the specific areas in which they are seeking to improve, this book also includes a list of all the Reading questions from the Khan Academy exams/College Board Official Guide, 3rd Edition (2015), arranged both by category and by test. Note: If you are preparing for the AP English Language and Composition exam, a separate AP Edition is now available in beta form (multiple-choice reading only) at https://www.createspace.com/7045612. |
| can my open math detect cheating: Global Trends 2040 National Intelligence Council, 2021-03 The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come. -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading. |
| can my open math detect cheating: Schools of Thought Rexford Brown, 1993-08-10 As a result of his visits to classrooms across the nation, Brown has compiled an engaging, thought-provoking collection of classroom vignettes which show the ways in which national, state, and local school politics translate into changed classroom practices. Captures the breadth, depth, and urgency of education reform.--Bill Clinton. |
| can my open math detect cheating: Mathematics for Computer Science Eric Lehman, F. Thomson Leighton, Albert R. Meyer, 2017-03-08 This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions. |
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