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computer science and psychology degree: Cognitive Psychology In and Out of the Laboratory Kathleen M. Galotti, 2020 |
computer science and psychology degree: Artificial Intelligence for Human Computer Interaction: A Modern Approach Yang Li, Otmar Hilliges, 2021-11-04 This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation. |
computer science and psychology degree: Freedom and Destiny Rollo May, 1999-01-17 The popular psychoanalyst examines the continuing tension in our lives between the possibilities that freedom offers and the various limitations imposed upon us by our particular fate or destiny. May is an existential analyst who deservedly enjoys a reputation among both general and critical readers as an accessible and insightful social and psychological theorist. . . . Freedom's characteristics, fruits, and problems; destiny's reality; death; and therapy's place in the confrontation between freedom and destiny are examined. . . . Poets, social critics, artists, and other thinkers are invoked appropriately to support May's theory of freedom and destiny's interdependence.—Library Journal Especially instructive, even stunning, is Dr. May's willingness to respect mystery. . . .There is, too, at work throughout the book a disciplined yet relaxed clinical mind, inclined to celebrate . . . what Flannery O'Connor called 'mystery and manners,' and to do so in a tactful, meditative manner.—Robert Coles, America |
computer science and psychology degree: Psychology for Sustainability Britain A. Scott, Elise L. Amel, Susan M. Koger, Christie M. Manning, 2015-07-24 Psychology for Sustainability, 4th Edition -- known as Psychology of Environmental Problems: Psychology for Sustainability in its previous edition -- applies psychological theory and research to so-called environmental problems, which actually result from human behavior that degrades natural systems. This upbeat, user-friendly edition represents a dramatic reorganization and includes a substantial amount of new content that will be useful to students and faculty in a variety of disciplines—and to people outside of academia, as well. The literature reviewed throughout the text is up-to-date, and reflects the burgeoning efforts of many in the behavioral sciences who are working to create a more sustainable society. The 4th Edition is organized in four sections. The first section provides a foundation by familiarizing readers with the current ecological crisis and its historical origins, and by offering a vision for a sustainable future.The next five chapters present psychological research methods, theory, and findings pertinent to understanding, and changing, unsustainable behavior. The third section addresses the reciprocal relationship between planetary and human wellbeing and the final chapter encourages readers to take what they have learned and apply it to move behavior in a sustainable direction. The book concludes with a variety of theoretically and empirically grounded ideas for how to face this challenging task with positivity, wisdom, and enthusiasm. This textbook may be used as a primary or secondary textbook in a wide range of courses on Ecological Psychology, Environmental Science, Sustainability Sciences, Environmental Education, and Social Marketing. It also provides a valuable resource for professional audiences of policymakers, legislators, and those working on sustainable communities. |
computer science and psychology degree: Handbook of Personality Assessment Irving B. Weiner, Roger L. Greene, 2011-01-31 This comprehensive, balanced guide to personality assessment, written by two of the foremost experts in the field, is sure to become the gold standard of texts on this topic. The Handbook of Personality Assessment covers everything from the basics, including a historic overview and detailed discussion of the assessment process and its psychometric foundations, to valuable sections on conducting the assessment interview and the nature, interpretation, and applications of the most popular self-report (objective) and performance-based (projective) measures. A concluding section of special topics such as computerized assessment, ethical and legal issues, and report writing are unique to this text. |
computer science and psychology degree: The Psychology of Human-Computer Interaction Stuart K. Card, 2018-05-04 Defines the psychology of human-computer interaction, showing how to span the gap between science & application. Studies the behavior of users in interacting with computer systems. |
computer science and psychology degree: Psychology and Cognitive Science Michel Denis, 1998 This special issue includes revised versions of papers presented at the IUPsyS Symposium Psychology and Cognitive Science, held during the XXVIth International Congress of Psychology in Montreal, August 1996. The introductory article reports the results of an international survey conducted for the IUPsyS on the place and role of psychology in cognitive science; the next three papers are illustrations of interdisciplinary approaches to cognitive issues. Approaches to discourse comprehension by cognitive psychology, artificial intelligence, linguistics, and neurobiology are discussed, and it is considered how the human mind and machines represent knowledge from discourse and text. Finally, there is a description of a computational approach to vision and language inspired by psychological theories. |
computer science and psychology degree: Mindware Andy Clark, 2013-12 Ranging across both standard philosophical territory and the landscape of cutting-edge cognitive science, Mindware: An Introduction to the Philosophy of Cognitive Science, Second Edition, is a vivid and engaging introduction to key issues, research, and opportunities in the field. |
computer science and psychology degree: Science & Engineering Indicators , 2002 |
computer science and psychology degree: A Computational Approach to Statistical Learning Taylor Arnold, Michael Kane, Bryan W. Lewis, 2019-01-23 A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015. Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010. Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs. |
computer science and psychology degree: The Cambridge Handbook of Computing Education Research Sally A. Fincher, Anthony V. Robins, 2019-02-21 This Handbook describes the extent and shape of computing education research today. Over fifty leading researchers from academia and industry (including Google and Microsoft) have contributed chapters that together define and expand the evidence base. The foundational chapters set the field in context, articulate expertise from key disciplines, and form a practical guide for new researchers. They address what can be learned empirically, methodologically and theoretically from each area. The topic chapters explore issues that are of current interest, why they matter, and what is already known. They include discussion of motivational context, implications for practice, and open questions which might suggest future research. The authors provide an authoritative introduction to the field which is essential reading for policy makers, as well as both new and established researchers. |
computer science and psychology degree: AP® Computer Science Principles Crash Course Jacqueline Corricelli, 2018-01-04 AP® Computer Science Principles Crash Course® A Higher Score in Less Time! REA's AP® Computer Science Principles Crash Course® is the top choice for the last-minute studier or any Computer Science Principles student who wants a quick refresher on the course. Are you crunched for time? Have you started studying for your Advanced Placement® Computer Science Principles exam yet? How will you memorize everything you need to know before the test? Do you wish there was a fast and easy way to study for the exam AND boost your score? If this sounds like you, don't panic. REA's Crash Course for AP® Computer Science Principles is just what you need. Our Crash Course gives you: Targeted Review - Study Only What You Need to Know. The review is based on an in-depth analysis of the AP® Computer Science Principles course description outline and sample AP® test questions. It covers only the information tested on the exam, so you can make the most of your valuable study time. Expert Test-taking Strategies and Advice. Written by Jacqueline Corricelli, an award-winning AP® Computer Science Principles teacher and test development expert, the book gives you the topics and critical context that will matter most on exam day. Crash Course® relies on the author’s extensive analysis of the test’s structure and content. By following her advice, you can boost your score. REA's Online Practice Exam. Are you ready for your exam? Take REA's practice exam and find out. You'll get the benefits of timed testing, detailed explanations of answers, and automatic scoring analysis. Our practice exam is balanced to include every topic and type of question found on the actual AP® exam, so you'll be confident on test day. Whether you're cramming for the exam or reinforcing what you learn as you go through the course, this is the study guide every AP® Computer Science Principles student must have. |
computer science and psychology degree: Evolution Carl T. Bergstrom, Lee Alan Dugatkin, 2016-02-25 Evolution presents foundational concepts through a contemporary framework of population genetics and phylogenetics that is enriched by current research and stunning art. In every chapter, new critical thinking questions and expanded end-of-chapter problems emphasizing data interpretation reinforce the Second Edition’s focus on helping students think like evolutionary biologists. |
computer science and psychology degree: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-03-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
computer science and psychology degree: Science and Engineering Personnel , 1983 |
computer science and psychology degree: The Psychology Major R. Eric Landrum, Stephen F. Davis, 2013-06-13 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. Strategies for success for the psychology major Landrum/Davis provides strategies for success that will allow students to achieve their career goals, whatever they may be. The authors provide fundamental tips and advice that can be useful to all students, but especially useful for psychology majors. This text standardizes and catalogs much of the practical advice that professors often give to students—providing tips on how to do well in all classes, how to find research ideas, and how to write papers in general APA format. Also, the book contains up-to-date career information that faculty might not normally have at their fingertips, including the latest salary figures for a number of psychology-related jobs and occupations. Learning Goals Upon completing this book, readers should be able to: Describe why psychology is a practical subject for any student to study. Identify career opportunities for holders of a Bachelor’s degree in psychology Identify career opportunities for holders of a Master’s or Doctoral degree in psychology. Find research ideas and write papers in APA format. Note: MySearchLab does not come automatically packaged with this text. To purchase MySearchLab, please visit www.mysearchlab.com or you can purchase a ValuePack of the text + MySearchLab: ValuePack ISBN-10: TBD / ValuePack ISBN-13: TBD |
computer science and psychology degree: Essentials of Personnel Assessment and Selection Scott Highhouse, Dennis Doverspike, Robert M Guion, 2015-11-19 This second edition provides managers and students the nuts and bolts of assessment processes and selection techniques. With this knowledge, managers learn to make informed personnel decisions based on the results of tests and assessments. The book emphasizes that employee performance predictions require well-formed hypotheses about personal characteristics that may be related to valued behavior at work. It also stresses the need for developing a theory of the attribute one hypothesizes as a predictor—a thought process too often missing from work on selection procedures. Topics such as team-member selection, situational judgment tests, nontraditional tests, individual assessment, and testing for diversity are explored. The book covers both basic and advanced concepts in personnel selection in a straightforward, readable style intended to be used in both undergraduate and graduate courses in Personnel Selection and Assessment. |
computer science and psychology degree: Science and Engineering Personnel: National Overview , |
computer science and psychology degree: Security Informatics Christopher C. Yang, Michael Chau, Jau-Hwang Wang, Hsinchun Chen, 2010-01-08 Intelligence and Security Informatics (ISI) is defined as the study of the development and use of advanced information systems and technologies for national, international, and societal security-related applications. With the rise of global terrorism, the field has been given an increasing amount of attention from academic researchers, law enforcement, intelligent experts, information technology consultants and practitioners. SECURITY INFORMATICS is global in scope and perspective. Leading experts will be invited as contributing authors from the US, UK, Denmark, Israel, Singapore, Hong Kong, Taiwan, Europe, etc. It is the first systematic, archival volume treatment of the field and will cover the very latest advances in ISI research and practice. It is organized in four major subject areas: (1) Information and Systems Security, (2) Information Sharing and Analysis in Security Informatics, (3) Infrastructure Protection and Emergency Responses, and (4) National Security and Terrorism Informatics. |
computer science and psychology degree: Graduate Study in Psychology 2016 American Psychological Association, 2015-08 Graduate Study in Psychology is the best source of information related to graduate programs in psychology and provides information related to more than 600 graduate programs in psychology in the U.S. and Canada. Graduate Study in Psychology contains information about number of applications received by a program number of individuals accepted in each program dates for applications and admission types of information required for an application (GRE scores, letters of recommendation, documentation concerning volunteer or clinical experience, etc.) in-state and out-of-state tuition costs availability of internships and scholarships employment information of graduates orientation and emphasis of departments and programs plus other relevant information. |
computer science and psychology degree: Software Engineering for Internet Applications Eve Astrid Andersson, Philip Greenspun, Andrew Grumet, 2006 After completing this self-contained course on server-based Internet applications software that grew out of an MIT course, students who start with only the knowledge of how to write and debug a computer program will have learned how to build sophisticated Web-based applications. |
computer science and psychology degree: Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages Tanmay Bakshi, 2019-12-06 Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A quick guide to start writing your own fun and useful Julia apps—no prior experience required! This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python. Inside, you’ll learn to: • Set up and configure your Julia environment • Get up and running writing your own Julia apps • Define variables and use them in your programs • Use conditions, iterations, for-loops, and while-loops • Create, go through, and modify arrays • Build an app to manage things you lend and get back from your friends • Create and utilize dictionaries • Simplify maintenance of your code using functions • Apply functions on arrays and use functions recursively and generically • Understand and program basic machine learning apps |
computer science and psychology degree: Neuroscience and Social Science Agustín Ibáñez, Lucas Sedeño, Adolfo M. García, 2017-11-02 This book seeks to build bridges between neuroscience and social science empirical researchers and theorists working around the world, integrating perspectives from both fields, separating real from spurious divides between them and delineating new challenges for future investigation. Since its inception in the early 2000s, multilevel social neuroscience has dramatically reshaped our understanding of the affective and cultural dimensions of neurocognition. Thanks to its explanatory pluralism, this field has moved beyond long standing dichotomies and reductionisms, offering a neurobiological perspective on topics classically monopolized by non-scientific traditions, such as consciousness, subjectivity, and intersubjectivity. Moreover, it has forged new paths for dialogue with disciplines which directly address societal dynamics, such as economics, law, education, public policy making and sociology. At the same time, beyond internal changes in the field of neuroscience, new problems emerge in the dialogue with other disciplines. Neuroscience and Social Science – The Missing Link puts together contributions by experts interested in the convergences, divergences, and controversies across these fields. The volume presents empirical studies on the interplay between relevant levels of inquiry (neural, psychological, social), chapters rooted in specific scholarly traditions (neuroscience, sociology, philosophy of science, public policy making), as well as proposals of new theoretical foundations to enhance the rapprochement in question. By putting neuroscientists and social scientists face to face, the book promotes new reflections on this much needed marriage while opening opportunities for social neuroscience to plunge from the laboratory into the core of social life. This transdisciplinary approach makes Neuroscience and Social Science – The Missing Link an important resource for students, teachers, and researchers interested in the social dimension of human mind working in different fields, such as social neuroscience, social sciences, cognitive science, psychology, behavioral science, linguistics, and philosophy. |
computer science and psychology degree: Understanding the Brain and Nervous System National Institutes of Health (U.S.), 1962 |
computer science and psychology degree: Mosaic , 1984 |
computer science and psychology degree: Affective Computing and Interaction: Psychological, Cognitive and Neuroscientific Perspectives Gkay, Didem, Yildirim, Glsen, 2010-10-31 Since interactions may occur between animals, humans, or computational agents, an interdisciplinary approach which investigates foundations of affective communication in a variety of platforms is indispensable. In the field of affective computing, a collection of research, merging decades of research on emotions in psychology, cognition and neuroscience will inspire creative future research projects and contribute to the prosperity of this emerging field. Affective Computing and Interaction: Psychological, Cognitive and Neuroscientific Perspectives examines the current state and the future prospects of affect in computing within the context of interactions. Uniting several aspects of affective interactions and topics in affective computing, this reference reviews basic foundations of emotions, furthers an understanding of the contribution of affect to our lives and concludes by revealing current trends and promising technologies for reducing the emotional gap between humans and machines, all within the context of interactions. |
computer science and psychology degree: New Directions for Computing Education Samuel B. Fee, Amanda M. Holland-Minkley, Thomas E. Lombardi, 2017-04-17 Why should every student take a computing course? What should be the content of these courses? How should they be taught, and by whom? This book addresses these questions by identifying the broader reaches of computing education, problem-solving and critical thinking as a general approach to learning. The book discusses new approaches to computing education, and considers whether the modern ubiquity of computing requires an educational approach that is inherently interdisciplinary and distinct from the traditional computer science perspective. The alternative approach that the authors advocate derives its mission from an intent to embed itself within an interdisciplinary arts and science context. An interdisciplinary approach to computing is compellingly valuable for students and educational institutions alike. Its goal is to support the educational and intellectual needs of students with interests in the entire range of academic disciplines. It capitalizes on students’ focus on career development and employers’ demand for technical, while also engaging a diverse student body that may not possess a pre-existing interest in computing for computing’s sake. This approach makes directly evident the applicability of computer science topics to real-world interdisciplinary problems beyond computing and recognizes that technical and computational abilities are essential within every discipline. The book offers a valuable resource for computer science and computing education instructors who are presently re-thinking their curricula and pedagogical approaches and are actively trying new methods in the classroom. It will also benefit graduate students considering a future of teaching in the field, as well as administrators (in both higher education and high schools) interested in becoming conversant in the discourse surrounding the future of computing education. |
computer science and psychology degree: The Brain: A Very Short Introduction Michael O'Shea, 2005-12-08 How does the brain work? Michael O'Shea provides an accessible introduction to the key questions and current state of brain research, and shows that, though we know a surprising amount, we are still far from having a complete understanding. The topics he discusses range from how we sense things and how memories are stored, to the evolution of brains and nervous systems from primitive organisms, as well as altered mental states, brain-computer hybrids, and the future of brain research.--BOOK JACKET. |
computer science and psychology degree: Careers in Psychology Tara L. Kuther, Robert D. Morgan, 2024-09-17 Careers in Psychology, Sixth Edition helps students navigate and plan for their futures by offering exposure to the rich careers in each subfield of psychology and prompting students to consider the what, why and how of each option. With salary insights, career guidance, and job search tips post-graduation, the authors equip students to make informed choices about their future careers. |
computer science and psychology degree: Barron's AP Psychology with CD-ROM Robert McEntarffer, Allyson J. Weseley, 2010-02-01 This updated manual presents one diagnostic test and two full-length practice tests that reflect the actual AP Psychology Exam in length, subject matter, and difficulty. All test questions are answered and explained. It also provides extensive subject review covering all test topics. Topics reviewed include research methods, the biological basis of behavior, sensation and perception, states of consciousness, learning, cognition, personality, abnormal psychology, and treatment of disorders. This manual also presents an overview of the test, extra multiple-choice practice questions, test-taking tips, and an analysis of the test’s essay question with a sample essay. Enclosed with the manual is a CD-ROM that presents two more practice tests with answers, explanations, and automatic scoring, as well as extensive subject review. |
computer science and psychology degree: Algorithms to Live By Brian Christian, Tom Griffiths, 2016-04-19 'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind. |
computer science and psychology degree: Differential Equations and Numerical Analysis Valarmathi Sigamani, John J. H. Miller, Ramanujam Narasimhan, Paramasivam Mathiazhagan, Franklin Victor, 2016-08-18 This book offers an ideal introduction to singular perturbation problems, and a valuable guide for researchers in the field of differential equations. It also includes chapters on new contributions to both fields: differential equations and singular perturbation problems. Written by experts who are active researchers in the related fields, the book serves as a comprehensive source of information on the underlying ideas in the construction of numerical methods to address different classes of problems with solutions of different behaviors, which will ultimately help researchers to design and assess numerical methods for solving new problems. All the chapters presented in the volume are complemented by illustrations in the form of tables and graphs. |
computer science and psychology degree: Programming from the Ground Up Jonathan Bartlett, 2009-09-24 Programming from the Ground Up uses Linux assembly language to teach new programmers the most important concepts in programming. It takes you a step at a time through these concepts: * How the processor views memory * How the processor operates * How programs interact with the operating system * How computers represent data internally * How to do low-level and high-level optimization Most beginning-level programming books attempt to shield the reader from how their computer really works. Programming from the Ground Up starts by teaching how the computer works under the hood, so that the programmer will have a sufficient background to be successful in all areas of programming. This book is being used by Princeton University in their COS 217 Introduction to Programming Systems course. |
computer science and psychology degree: Which Degree in Britain , 1999 A comprehensive guide to full-time degree courses, institutions and towns in Britain. |
computer science and psychology degree: VTAC eGuide 2016 VTAC, 2015-07-15 The VTAC eGuide is the Victorian Tertiary Admissions Centre’s annual guide to application for tertiary study, scholarships and special consideration in Victoria, Australia. The eGuide contains course listings and selection criteria for over 1,700 courses at 62 institutions including universities, TAFE institutes and independent tertiary colleges. |
computer science and psychology degree: Sources for a Better Education Piet Kommers, 2022-02-22 This textbook evolves from the intersection between ‘Research’, ‘Educational Information Technologies’ and recent ‘Best Practices’. It offers diplomacy and erudite rhetoric in order to harvest from innovation projects and see how new professional needs for teachers are emerging day by day. The volume launches the compact background for the 21st century education that every teacher faces after being in charge for 3 or 6 years after pre-service training. ‘Sources for a better education’ refers to the deep understanding and to the incentives for encouraging teachers to leave the comfort zone and experiment the next steps into a further sophisticated professionalism, without the threat of feeling in a ‘Dilemma’. The first candidate for extending one’s teaching effectiveness is to tailor one’s teaching to the test to be expected. ‘Teaching to the Test’ is an understandable tactic, however it endangers the students’ full understanding of underlying concepts and analogies. The second candidate for professionalism is the deeper layer of knowledge on how curricular domains are related. In simpler terms: better teachers know how to ‘bridge’ topics and subjects so that students develop a deeper understanding on the patterns and structure in knowledge. The 21st century education prioritizes higher degrees of flexible-, divergent and abstract thinking, so that creative problem solving comes into reach. ICT tools for making prior knowledge explicit is a major example on how learners harvest upon prior knowledge, thinking and intuition. The third source for a better education is the courage to envisage one’s meta knowledge in order to see patterns in learning and understanding. The more conscious prior knowledge gets decompiled into genetic metaphors; the better future learning can be anticipated. The fourth asset for meta-cognitive skills is the wide spectrum of tools that the web offers for building knowledge infra-structures so that knowledge becomes transformed into problem solving skills; the availability of knowledge is no longer sufficient for finding creative and authentic solutions in future situations. This is the case for both students and teachers. By tradition, the bottom-up strategy from reproductive factual learning up to the levels of problem solving and creative thinking has been favoured. The ‘one-click away’ access to information on the web asks a more strategic attitude from learners and practitioners to cope with the periphery between known and unknown, so that a more effective meta-cognition develops. The fifth stimulus for more effective learning is the expanding impact of social media. Social media tend to intimidate learners with incomplete understanding to jump on biases as delivered through political and conspiracy agendas. This books aims at the challenge to build upon learners’ existential needs and developing interest for a longer-term learning perspective. “Renaissance man and philosopher Piet Kommers presents us with an interesting question: What makes education exciting? His book covers a range of lessons learnt through research and practice, covering philosophies and paradoxes, ranging from learning to learn to machine learning for learning. In 35 chapters he takes us on an exciting, comprehensive journey of just about every conceivable aspect of technology and education. This is a must-have for every 21st Century bookshelf!” By: Johannes Cronjé, professor of Digital Teaching and Learning in the Department of Information Technology at the Cape Peninsula University of Technology, South Africa. “Piet Kommers has in 400 pages provided an overview of teaching based on practical experience. It is not a summary of pedagogic models, but a guide to important factors in how to motivate students and thus improve their learning. New technologies changes teaching, and we need to understand how application of such technologies can improve the learning. This book provides such knowledge and I wish I had it when I started teaching at university many years ago.” By: Jan Frick, Professor Business School, University of Stavanger, Norway. Piet Kommers delivers a very thorough book with a holistic perspective on Learning Technologies. This book is a result of many years of experience that the author has in Higher Education. It comprises lessons learned from the author ́s professional career, including inputs from European Union research projects, as well as diversified interactions with a wide range of Peoples and Cultures. The result is a unique perspective that is a must-read for anyone interested in Learning Technologies, past, present, and future! By: Pedro Isaias, associate professor at the Information Systems & Technology Management School of The University of New South Wales (UNSW – Sydney), Australia. “Distinguished Professor and Thinker Dr. Piet Kommers presents the academic community with a new horizon on education that reflects the current and future technology trends in the e-Learning and Fast Internet ubiquity. The Book discusses the current and most recent advances in research and application of most effective learning methods in conjunction with the future directions in machine learning in support of learning. The Book's 35 chapters present cutting-edge technologies and state-of-the-art learning methods in support of best educational practices and the student's best learning experience. The Book is most valuable asset to educator's community pursuing the mission of excellence in the Third Millennium!” By: Eduard Babulak, Professor, Computational Sciences, Liberty University, Lynchburg, USA. Well-known scientist, (e-)learning expert and philosopher Piet Kommers presents us with an interesting question: What makes education exciting? His book covers a range of lessons learnt through research and practice, covering philosophies and paradoxes, ranging from ‘learning to learn’ to ‘machine learning for learning’. In 35 chapters he takes us on an exciting, comprehensive journey of just about every conceivable aspect of technology and education. This is an interesting and useful publication for all educators as well as learners and must-have for every 21st Century bookshelf! By: Eugenia Smyrnova-Trybulska, Dr. hab., associate professor, Institute of Pedagogy, Faculty of Art and Sciences of Education, University of Silesia in Katowice, Poland. “The book presents a mosaic of assets reflecting the vast international experience in research and realization of learning technologies of the author, honourable professor of the UNESCO Chair in New information technologies in education for all, Piet Kommers. Describing various aspects of learning strategies, approaches, techniques and technologies in a concise way, he engages the readers into the mental construction of a big picture and makes them reconsider routine processes of teaching and learning. Exciting and thought-provoking reading for educators, researchers, and devoted learners.” By: professor Volodymyr Gritsenko, Director of the International Research and Training Centre for Information Technologies and Systems, National Academy of Sciences and Ministry of Education and Science of Ukraine, Head of the UNESCO Chair. |
computer science and psychology degree: College Admissions Data Sourcebook Northeast Edition Looseleaf 2010-11 , 2010-09 |
computer science and psychology degree: Integration of Natural Language and Vision Processing Paul Mc Kevitt, 1996-06-30 Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP), there has heretofore been little progress on integrating these two subareas of Artificial Intelligence (AI). This book contains a set of edited papers addressing theoretical issues and the grounding of representations in NLP and VP from philosophical and psychological points of view. The papers focus on site descriptions such as the reasoning work on space at Leeds, UK, the systems work of the ILS (Illinois, U.S.A.) and philosophical work on grounding at Torino, Italy, on Schank's earlier work on pragmatics and meaning incorporated into hypermedia teaching systems, Wilks' visions on metaphor, on experimental data for how people fuse language and vision and theories and computational models, mainly connectionist, for tackling Searle's Chinese Room Problem and Harnad's Symbol Grounding Problem. The Irish Room is introduced as a mechanism through which integration solves the Chinese Room. The U.S.A., China and the EU are well reflected, showing the fact that integration is a truly international issue. There is no doubt that all of this will be necessary for the SuperInformationHighways of the future. |
computer science and psychology degree: The Minimum You Need to Know about Logic to Work in IT Roland Hughes, 2007 This book is part of aaThe Minimum You Need to Knowaa family of books by Logikal Solutions. As the family expands they will cover an increasing variety of topics. This book is designed to be used as a text book for classes in logic from high school to college level. It should be one of the first courses you have on IT and this should be one of the first books you read when starting in IT. Not only does this book cover flow charting and pseudocode, it teaches the reader to think before they start mapping out the logic to solve a problem. The author of this book is an industry veteran with nearly 20 years in the field. It has been his experience that recent graduates, from any country, are nearly useless at problem solving. If they cannot point, click, and drag, they cannot solve the problem. This book is an attempt to teach them how to solve the problem. An instructoraas guide is available for schools looking to make this book the basis of coursework. |
computer science and psychology degree: American Universities and Colleges Praeger Publishers, 2010-04-16 For well over a half century, American Universities and Colleges has been the most comprehensive and highly respected directory of four-year institutions of higher education in the United States. A two-volume set that Choice magazine hailed as a most important resource in its November 2006 issue, this revised edition features the most up-to-date statistical data available to guide students in making a smart yet practical decision in choosing the university or college of their dreams. In addition, the set serves as an indispensable reference source for parents, college advisors, educators, and public, academic, and high school librarians. These two volumes provide extensive information on 1,900 institutions of higher education, including all accredited colleges and universities that offer at least the baccalaureate degree. This essential resource offers pertinent, statistical data on such topics as tuition, room and board; admission requirements; financial aid; enrollments; student life; library holdings; accelerated and study abroad programs; departments and teaching staff; buildings and grounds; and degrees conferred. Volume two of the set provides four indexes, including an institutional Index, a subject accreditation index, a levels of degrees offered index, and a tabular index of summary data by state. These helpful indexes allow readers to find information easily and to make comparisons among institutions effectively. Also contained within the text are charts and tables that provide easy access to comparative data on relevant topics. |
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