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This book aims to clarify what the computer revolution means for schools. Questions asked include: how will computers affect schools? What might be the positive influence? The negative? What might teachers and students gain from their experience with computers? To discuss these questions case studies are given showing how teachers have used computers in the classroom. The book is also about the potential for dialogue through which innovative ideas and existing practices transcend tradition. The book also considers the potential of microcomputers and how teachers and computer innovators can achieve these potentials.
Methodologies for Developing and Managing Emerging Technology Based Information Systems by Trevor Wood-Harper,Nimal Jayaratna,Bob Wood Pdf
This volume contains the proceedings of the 6th International Conference of the BCS Specialist Group on Information Systems Methodologies. The conference brought together papers on methodology issues related to the development and management of emerging technology based information systems. As usual there was a good range of papers addressing the 'soft' and 'hard' aspects of IS development and management. Methodologies for Developing and Managing Emerging Technology-based Information Systems will be of interest to practitioners who are engaged in systems development and modifying or aligning existing methodologies to practice.
Modern Research Methods for the Study of Behavior in Organizations by Jose M. Cortina,Ronald S. Landis Pdf
The goal of the chapters in this SIOP Organizational Frontiers Series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.
Artificial Intelligence in Education by V. Dimitrova,R. Mizoguchi,B. du Boulay Pdf
This publication covers papers presented at AIED2009, part of an ongoing series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. The conference provides opportunities for the cross-fertilization of techniques from many fields that make up this interdisciplinary research area, including: artificial intelligence, computer science, cognitive and learning sciences, education, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which AIED systems have been designed and evaluated. AIED2009 focuses on the theme "Building learning systems that care: from knowledge representation to affective modelling". The key research question is how to tackle the complex issues related to building learning systems that care, ranging from representing knowledge and context to modelling social, cognitive, metacognitive, and affective dimensions. This requires multidisciplinary research that links theory and technology from artificial intelligence, cognitive science, and computer science with theory and practice from education and the social sciences.
Artificial Intelligence in Education by Chee-Kit Looi Pdf
The field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. This study aims to open opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area.
Modeling Students' Mathematical Modeling Competencies by Richard Lesh,Peter L. Galbraith,Christopher R. Haines,Andrew Hurford Pdf
As we enter the 21st century, there is an urgent need for new approaches to mathematics education emphasizing its relevance in young learners’ futures. Modeling Students’ Mathematical Modeling Competencies explores the vital trend toward using real-world problems as a basis for teaching mathematics skills, competencies, and applications. Blending theoretical constructs and practical considerations, the book presents papers from the latest conference of the ICTMA, beginning with the basics (Why are models necessary? Where can we find them?) and moving through intricate concepts of how students perceive math, how instructors teach—and how both can become better learners. Dispatches as varied as classroom case studies, analyses of math in engineering work, and an in-depth review of modeling-based curricula in the Netherlands illustrate modeling activities on the job, methods of overcoming math resistance, and the movement toward replicable models and lifelong engagement. A sampling of topics covered: How students recognize the usefulness of mathematics Creating the modeling-oriented classroom Assessing and evaluating students’ modeling capabilities The relationship between modeling and problem-solving Instructor methods for developing their own models of modeling New technologies for modeling in the classroom Modeling Students’ Mathematical Modeling Competencies offers welcome clarity and focus to the international research and professional community in mathematics, science, and engineering education, as well as those involved in the sciences of teaching and learning these subjects.
Handbook of Distributed Team Cognition by Michael McNeese,Eduardo Salas,Mica R. Endsley Pdf
Contemporary society is held together by interactive groups and teams carrying out work to accomplish various intentions and purposes often within challenging and ill-defined environments. Cooperative work is accomplished through the synergy of human teamwork and technological innovation within domains such as health and medicine; cyber security; transportation; command, control, communication, and intelligence; aviation; manufacturing; criminal justice; space exploration; and emergency crisis management. Distributed team cognition is ubiquitous across and within each of these domains in myriad ways. The Handbook of Distributed Team Cognition provides three volumes that delve into the intricacies of research findings in terms of how cognition is embodied within specific environments while being distributed across time, space, information, people, and technologies. Distributed team cognition is examined from broad, interdisciplinary perspectives and developed using different themes and worldviews. Foundations and Theoretical Perspectives of Distributed Teams Cognition provides an informed view of the history and foundations underlying the development of the field while looking at the theoretical significance of research. Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition strengthens these foundations and theories by looking at how research has evolved through the use of different experiments, methods, measures, and models. Fields of Practice and Applied Solutions within Distributed Teams Cognition considers the importance of technological support of teamwork and what it means for applied systems and specific fields of practice. Together these three volumes entwine a comprehensive knowledge of distributed team cognition that is invaluable for professors, scientists, engineers, designers, specialists, and students alike who need specific information regarding history, cognitive science, experimental studies, research approaches, measures and analytics, digital collaborative technologies and intelligent agents, and real world applications; all of which have led to a dynamic revolution in cooperative work / teamwork in both theory and practice.
Didactics of Mathematics as a Scientific Discipline by Rolf Biehler,Roland W. Scholz,Rudolf Sträßer,Bernard Winkelmann Pdf
Didactics of Mathematics as a Scientific Discipline describes the state of the art in a new branch of science. Starting from a general perspective on the didactics of mathematics, the 30 original contributions to the book, drawn from 10 different countries, go on to identify certain subdisciplines and suggest an overall structure or `topology' of the field. The book is divided into eight sections: (1) Preparing Mathematics for Students; (2) Teacher Education and Research on Teaching; (3) Interaction in the Classroom; (4) Technology and Mathematics Education; (5) Psychology of Mathematical Thinking; (6) Differential Didactics; (7) History and Epistemology of Mathematics and Mathematics Education; (8) Cultural Framing of Teaching and Learning Mathematics. Didactics of Mathematics as a Scientific Discipline is required reading for all researchers into the didactics of mathematics, and contains surveys and a variety of stimulating reflections which make it extremely useful for mathematics educators and teacher trainers interested in the theory of their practice. Future and practising teachers of mathematics will find much to interest them in relation to their daily work, especially as it relates to the teaching of different age groups and ability ranges. The book is also recommended to researchers in neighbouring disciplines, such as mathematics itself, general education, educational psychology and cognitive science.
The Human in Command by Carol McCann,Ross Pigeau Pdf
This book brings together experienced military leaders and researchers in the human sciences to offer current operational experience and scientific thought on the issue of military command, with the intention of raising awareness of the uniquely human aspects of military command. It includes chapters on the personal experiences of senior commanders, new concepts and treatises on command theory, and empirical findings from experimental studies in the field.
Windows on Mathematical Meanings by Richard Noss,Celia Hoyles Pdf
This book challenges some of the conventional wisdoms on the learning of mathematics. The authors use the computer as a window onto mathematical meaning-making. The pivot of their theory is the idea of webbing, which explains how someone struggling with a new mathematical idea can draw on supportive knowledge, and reconciles the individual's role in mathematical learning with the part played by epistemological, social and cultural forces.