| can blackboard detect ai writing: The Role of Generative AI in the Communication Classroom Elmoudden, Sanae, Wrench, Jason S., 2024-02-12 In an era marked by the rapid integration of Artificial Intelligence (AI) into our lives, the discourse surrounding its implications has intensified. The Role of Generative AI in the Communication Classroom is a pioneering book that delves into the multifaceted dimensions of AI, specifically focusing on OpenAI's revolutionary Chat Generative Pre-Trained Transformer (Chat GPT) and its profound influence on the landscape of communication education. This book navigates the intersection of technology, education, and ethics, shedding light on the imperative need for a collaborative approach to shape AI's evolution. AI's potential to reshape industries and human roles is undeniable. Rooted in the intricate workings of AI and its hallmark, Chat GPT, this book meticulously dissects the dynamic relationship between humans and machines. The discourse extends beyond technology and into the realm of education, asserting that the power to mold AI's trajectory cannot rest solely in the hands of developers. While revealing AI's transformative potential in the communication classroom, the book conscientiously explores ethical concerns and biases, fostering a balanced approach to its integration. This book is instrumental to the ongoing discourse on AI's role in education. The call for ethical considerations, inclusivity, and regulation serves as a guiding compass for educators, students, developers, and policymakers alike. The book ensures a holistic perspective on AI's integration by addressing privacy, citation, voice ownership, and overall digital ethics. |
| can blackboard detect ai writing: Generative AI and Education B. Mairéad Pratschke, |
| can blackboard detect ai writing: AI and education Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO, 2021-04-08 Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed] |
| can blackboard detect ai writing: Engaged Learning and Innovative Teaching in Higher Education Will W. K. Ma, |
| can blackboard detect ai writing: 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 blackboard detect ai writing: The Educator , 1947 |
| can blackboard detect ai writing: Progress in Artificial Intelligence Carlos Pinto-Ferreira, 1995-09-22 This book presents the refereed proceedings of the 7th Portuguese Conference on Artificial Intelligence, EPIA'95, held in Funchal, Madeira Island, Portugal, in October 1995. The 30 revised full papers and the 15 poster presentations included were selected during a highly competitive selection process from a total of 167 submissions from all over the world. Among the topics covered are automated reasoning and theorem proving, belief revision, constraint-based reasoning, distributed artificial intelligence, genetic algorithms, machine learning, neural networks, non-monotonic reasoning, planning and case-based reasoning, qualitative reasoning, robotics and control, and theory of computation. |
| can blackboard detect ai writing: 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 blackboard detect ai writing: Intelligent robotics Mark H. Lee, 2013-03-09 An industrial robot routinely carrying out an assembly or welding task is an impressive sight. More important, when operated within its design conditions it is a reliable production machine which - depending on the manufacturing process being automated - is relatively quick to bring into operation and can often repay its capital cost within a year or two. Yet first impressions can be deceptive: if the workpieces deviate somewhat in size or position, or, worse; if a gripper slips or a feeder jams the whole system may halt and look very unimpressive indeed. This is mainly because the sum total of the system's knowledge is simply a list of a few variables describing a sequence of positions in space; the means of moving from one to the next; how to react to a few input signals; and how to give a few output commands to associated machines. The acquisition, orderly retention and effective use of knowledge are the crucial missing techniques whose inclusion over the coming years will transform today's industrial robot into a truly robotic system embodying the 'intelligent connection of perception to action'. The use of computers to implement these techniques is the domain of Artificial Intelligence (AI) (machine intelligence). Evidently, it is an essential ingredient in the future development of robotics; yet the relationship between AI practitioners and robotics engineers has been an uneasy one ever since the two disciplines were born. |
| can blackboard detect ai writing: Spy the Lie Philip Houston, Michael Floyd, Susan Carnicero, Don Tennant, 2013-07-16 Three former CIA officers--the world's foremost authorities on recognizing deceptive behavior--share their techniques for spotting a lie with thrilling anecdotes from the authors' careers in counterintelligence. |
| can blackboard detect ai writing: The Pragmatic Programmer Andrew Hunt, David Thomas, 1999-10-20 What others in the trenches say about The Pragmatic Programmer... “The cool thing about this book is that it’s great for keeping the programming process fresh. The book helps you to continue to grow and clearly comes from people who have been there.” — Kent Beck, author of Extreme Programming Explained: Embrace Change “I found this book to be a great mix of solid advice and wonderful analogies!” — Martin Fowler, author of Refactoring and UML Distilled “I would buy a copy, read it twice, then tell all my colleagues to run out and grab a copy. This is a book I would never loan because I would worry about it being lost.” — Kevin Ruland, Management Science, MSG-Logistics “The wisdom and practical experience of the authors is obvious. The topics presented are relevant and useful.... By far its greatest strength for me has been the outstanding analogies—tracer bullets, broken windows, and the fabulous helicopter-based explanation of the need for orthogonality, especially in a crisis situation. I have little doubt that this book will eventually become an excellent source of useful information for journeymen programmers and expert mentors alike.” — John Lakos, author of Large-Scale C++ Software Design “This is the sort of book I will buy a dozen copies of when it comes out so I can give it to my clients.” — Eric Vought, Software Engineer “Most modern books on software development fail to cover the basics of what makes a great software developer, instead spending their time on syntax or technology where in reality the greatest leverage possible for any software team is in having talented developers who really know their craft well. An excellent book.” — Pete McBreen, Independent Consultant “Since reading this book, I have implemented many of the practical suggestions and tips it contains. Across the board, they have saved my company time and money while helping me get my job done quicker! This should be a desktop reference for everyone who works with code for a living.” — Jared Richardson, Senior Software Developer, iRenaissance, Inc. “I would like to see this issued to every new employee at my company....” — Chris Cleeland, Senior Software Engineer, Object Computing, Inc. “If I’m putting together a project, it’s the authors of this book that I want. . . . And failing that I’d settle for people who’ve read their book.” — Ward Cunningham Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a requirement and producing working, maintainable code that delights its users. It covers topics ranging from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and you'll learn how to Fight software rot; Avoid the trap of duplicating knowledge; Write flexible, dynamic, and adaptable code; Avoid programming by coincidence; Bullet-proof your code with contracts, assertions, and exceptions; Capture real requirements; Test ruthlessly and effectively; Delight your users; Build teams of pragmatic programmers; and Make your developments more precise with automation. Written as a series of self-contained sections and filled with entertaining anecdotes, thoughtful examples, and interesting analogies, The Pragmatic Programmer illustrates the best practices and major pitfalls of many different aspects of software development. Whether you're a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you'll quickly see improvements in personal productivity, accuracy, and job satisfaction. You'll learn skills and develop habits and attitudes that form the foundation for long-term success in your career. You'll become a Pragmatic Programmer. |
| can blackboard detect ai writing: 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 blackboard detect ai writing: The Pharmacist's Mate Amy Fusselman, 2001 Fusselman's first book weaves surprising beauty out of diverse strands: death and sea shanties, guns and artifical insemination, World War II and AC/DC. Highly personal but always engaging, this book reveals the humor and beauty throughout Fusselman's grief following her father's death. Original cover art by Marcel Dzama. |
| can blackboard detect ai writing: 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 blackboard detect ai writing: MHRA Style Guide , 2008 |
| can blackboard detect ai writing: The Promises and Pitfalls of Technology in Higher Education Norman Clark Capshaw, 2023-08-04 What will universities look like in 30- or 40-years’ time? This book looks at that future, examining the potential impact of technologies like artificial intelligence, virtual reality, smart buildings, drones, robots, and holograms in future universities. It is a story told in three acts. The first act takes the reader through a history of the modern university, highlighting major innovations that have transformed the academy since the founding of the University of Bologna in 1088. A second act builds on this history and transports the reader to the future, observing the application of these technologies in a future university from the point of view of professors, administrators, and students, as we tour the transformed campus with them. The third act examines how these technologies might be adopted most effectively through the combined effort of university leaders, administrators, faculty and students. |
| can blackboard detect ai writing: The Knot Book Colin Conrad Adams, 2004 Knots are familiar objects. Yet the mathematical theory of knots quickly leads to deep results in topology and geometry. This work offers an introduction to this theory, starting with our understanding of knots. It presents the applications of knot theory to modern chemistry, biology and physics. |
| can blackboard detect ai writing: Into the Heart of the Mind Frank Rose, 1985 |
| can blackboard detect ai writing: Academic Writing for Graduate Students John M. Swales, Christine B. Feak, 1994 A Course for Nonnative Speakers of English. Genre-based approach. Includes units such as graphs and commenting on other data and research papers. |
| can blackboard detect ai writing: 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 blackboard detect ai writing: 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 blackboard detect ai writing: Behavior Trees in Robotics and AI Michele Colledanchise, Petter Ögren, 2018-07-20 Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs. This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice. Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion. This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background. |
| can blackboard detect ai writing: Tools for Learning Meredith D. Gall, 1990 Covers how to identify important study skills and how to teach them. |
| can blackboard detect ai writing: Conducting Research Patrick J. Schloss, Maureen A. Smith, 1999 Meant as a practical guide to students in a number of disciplines on how to do research, this text presents the research process in a step-by-step manner that provides a context for the discrete research skills. Each step of the research process is presented in a comprehensive manner to meet the needs of the beginning researcher. The authors provide sufficient detail students need to conceptualize a problem, to review literature, to select a design, to conduct the study, and to report research findings. |
| can blackboard detect ai writing: The Quest for Artificial Intelligence Nils J. Nilsson, 2009-10-30 Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries. |
| can blackboard detect ai writing: The Ethical Algorithm Michael Kearns, Aaron Roth, 2020 Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. |
| can blackboard detect ai writing: 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 blackboard detect ai writing: Reading, Writing and Learning in ESL Suzanne F. Peregoy, Owen F. Boyle, 2016-01-11 Note: This is the bound book only and does not include access to the Enhanced Pearson eText. To order the Enhanced Pearson eText packaged with a bound book, use ISBN 0134403398. This book is the ideal source for teaching oral language, reading, writing, and the content areas in English to K-12 English learners. In an approach unlike most other books in the field, Reading, Writing, and Learning in ESL looks at contemporary language acquisition theory as it relates to instruction and provides detailed suggestions and methods for motivating, involving, and teaching English language learners. Praised for its strong research base, engaging style, and inclusion of specific teaching ideas, the book offers thorough coverage of oral language, reading, writing, and academic content area instruction in English for K-12 English learners. Thoroughly updated throughout, the new edition includes a new chapter on using the Internet and other digital technologies to engage students and promote learning, many new teaching strategies, new and revised activities, and new writing samples. The Enhanced Pearson eText features embedded videos and assessments. Improve mastery and retention with the Enhanced Pearson eText* The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content. The Enhanced Pearson eText is: Engaging. The new interactive, multimedia learning features were developed by the authors and other subject-matter experts to deepen and enrich the learning experience. Convenient. Enjoy instant online access from your computer or download the Pearson eText App to read on or offline on your iPad(r) and Android(r) tablet.* Affordable.The Enhanced Pearson eText may be purchased stand-alone for 50-60% less than a print bound book. * The Enhanced eText features are only available in the Pearson eText format. They are not available in third-party eTexts or downloads. *The Pearson eText App is available on Google Play and in the App Store. It requires Android OS 3.1-4, a 7 or 10 tablet, or iPad iOS 5.0 or later. |
| can blackboard detect ai writing: Getting Smart Tom Vander Ark, 2011-09-20 A comprehensive look at the promise and potential of online learning In our digital age, students have dramatically new learning needs and must be prepared for the idea economy of the future. In Getting Smart, well-known global education expert Tom Vander Ark examines the facets of educational innovation in the United States and abroad. Vander Ark makes a convincing case for a blend of online and onsite learning, shares inspiring stories of schools and programs that effectively offer personal digital learning opportunities, and discusses what we need to do to remake our schools into smart schools. Examines the innovation-driven world, discusses how to combine online and onsite learning, and reviews smart tools for learning Investigates the lives of learning professionals, outlines the new employment bargain, examines online universities and smart schools Makes the case for smart capital, advocates for policies that create better learning, studies smart cultures |
| can blackboard detect ai writing: Programming Game AI by Example Mat Buckland, 2005 This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI. |
| can blackboard detect ai writing: Fourth and Long John U. Bacon, 2013-09-03 From New York Times bestselling author and Michigan football expert John Back, an analysis of the state of college football: Why we love the game, what is at risk, and the fight to save it. In search of the sport’s old ideals amid the roaring flood of hypocrisy and greed, bestselling author John U. Bacon embedded himself in four college football programs—Penn State, Ohio State, Michigan, and Northwestern—and captured the oldest, biggest, most storied league, the Big Ten, at its tipping point. He sat in as coaches dissected game film, he ate dinner at training tables, and he listened in locker rooms. He talked with tailgating fans and college presidents, and he spent months in the company of the gifted young athletes who play the game. Fourth and Long reveals intimate scenes behind closed doors, from a team’s angry face-off with their athletic director to a defensive lineman acing his master’s exams in theoretical math. It captures the private moment when coach Urban Meyer earned the devotion of Ohio State’s Buckeyes on their way to a perfect season. It shows Michigan’s athletic department endangering the very traditions that distinguish the college game from all others. And it re-creates the euphoria of the Northwestern Wildcats winning their first bowl game in decades. Most unforgettably, Fourth and Long finds what the national media missed in the ugly aftermath of Penn State’s tragic scandal: the unheralded story of players who joined forces with Coach Bill O’Brien to save the university’s treasured program—and with it, a piece of the game’s soul. This is the work of a writer in love with an old game—a game he sees at the precipice. Bacon’s deep knowledge of sports history and his sensitivity to the tribal subcultures of the college game power this elegy to a beloved and endangered American institution. |
| can blackboard detect ai writing: The Sciences of the Artificial, reissue of the third edition with a new introduction by John Laird Herbert A. Simon, 2019-08-13 Herbert Simon's classic work on artificial intelligence in the expanded and updated third edition from 1996, with a new introduction by John E. Laird. Herbert Simon's classic and influential The Sciences of the Artificial declares definitively that there can be a science not only of natural phenomena but also of what is artificial. Exploring the commonalities of artificial systems, including economic systems, the business firm, artificial intelligence, complex engineering projects, and social plans, Simon argues that designed systems are a valid field of study, and he proposes a science of design. For this third edition, originally published in 1996, Simon added new material that takes into account advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. Simon won the Nobel Prize for Economics in 1978 for his research into the decision-making process within economic organizations and the Turing Award (considered by some the computer science equivalent to the Nobel) with Allen Newell in 1975 for contributions to artificial intelligence, the psychology of human cognition, and list processing. The Sciences of the Artificial distills the essence of Simon's thought accessibly and coherently. This reissue of the third edition makes a pioneering work available to a new audience. |
| can blackboard detect ai writing: Artificial Intelligence George F. Luger, 2011-11-21 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists. |
| can blackboard detect ai writing: Human learning in the digital era Netexplo (France), UNESCO. Assistant Director-General for Communication and Information, 2019-04-17 |
| can blackboard detect ai writing: Management Information Systems Kenneth C. Laudon, Jane Price Laudon, 2004 Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases. |
| can blackboard detect ai writing: Annual Meeting of the North American Fuzzy Information Processing Society--NAFIPS. North American Fuzzy Information Processing Society. Annual Meeting, 2003 |
| can blackboard detect ai writing: Cultures in Contrast Myra Shulman, 2009 Cultures in Contrast is designed for students who are entering college or university life in the 21st century. It provides challenging readings and comprehension questions in every unit, accompanied by updated suggested films and additional readings. In each unit, students move from a general exploration of their beliefs to an analysis of a case study, a discussion of readings, and finally a specific choice of a coping strategy for a hypothetical dilemma. The case studies and readings, while providing various perspectives on life in the United States, are also meant to strengthen students’ cultural self-awareness. The second edition features a new unit on binge drinking, which has been added to recognize one of the most serious problems on college campuses today. Today, more than ever, students on college campuses are expected to have a sensitivity to and respect for diversity as well as a heightened awareness of individual rights and responsibilities. This text attempts to prepare students for this academic environment. Cultures in Contrast offers these students a means for analyzing and evaluating the complex social and moral issues that young adults throughout the world have to deal with. |
| can blackboard detect ai writing: MLA Style Manual and Guide to Scholarly Publishing Joseph Gibaldi, 1998 Since its publication in 1985, the MLA Style Manual has been the standard guide for graduate students, teachers, and scholars in the humanities and for professional writers in many fields. Extensively reorganized and revised, the new edition contains several added sections and updated guidelines on citing electronic works--including materials found on the World Wide Web. |
| can blackboard detect ai writing: Machine Scoring of Student Essays Patricia Freitag Ericsson, Richard Haswell, 2006-03-15 The current trend toward machine-scoring of student work, Ericsson and Haswell argue, has created an emerging issue with implications for higher education across the disciplines, but with particular importance for those in English departments and in administration. The academic community has been silent on the issue—some would say excluded from it—while the commercial entities who develop essay-scoring software have been very active. Machine Scoring of Student Essays is the first volume to seriously consider the educational mechanisms and consequences of this trend, and it offers important discussions from some of the leading scholars in writing assessment. Reading and evaluating student writing is a time-consuming process, yet it is a vital part of both student placement and coursework at post-secondary institutions. In recent years, commercial computer-evaluation programs have been developed to score student essays in both of these contexts. Two-year colleges have been especially drawn to these programs, but four-year institutions are moving to them as well, because of the cost-savings they promise. Unfortunately, to a large extent, the programs have been written, and institutions are installing them, without attention to their instructional validity or adequacy. Since the education software companies are moving so rapidly into what they perceive as a promising new market, a wider discussion of machine-scoring is vital if scholars hope to influence development and/or implementation of the programs being created. What is needed, then, is a critical resource to help teachers and administrators evaluate programs they might be considering, and to more fully envision the instructional consequences of adopting them. And this is the resource that Ericsson and Haswell are providing here. |
| can blackboard detect ai writing: Steps to an Ecology of Mind Gregory Bateson, 2000 Gregory Bateson was a philosopher, anthropologist, photographer, naturalist, and poet, as well as the husband and collaborator of Margaret Mead. This classic anthology of his major work includes a new Foreword by his daughter, Mary Katherine Bateson. 5 line drawings. |
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