| Preface | 6 |
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| Community Inquiry and Informatics: Collaborative Learning Through ICT | 17 |
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| The Participant-Observer in Community-Based Learning as Community Bard | 20 |
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| Learning in Communities: A Distributed Intelligence Perspective | 24 |
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| Distributed Intelligence: Transcending the Individual Human Mind | 24 |
| Social Creativity | 24 |
| Exploiting Diversity and Distances by Making All Voices Heard | 25 |
| Spiders in the Net: Universities as Facilitators of Community-Based Learning | 30 |
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| Designing Technology for Local Citizen Deliberation | 34 |
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| Supporting the Appropriation of ICT: End-User Development in Civil Societies | 37 |
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| Introduction | 37 |
| Active Support for Technology Appropriation | 38 |
| Supporting “Virtual Communities of Technology Practice” | 39 |
| Developmental Learning Communities | 40 |
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| Introduction | 40 |
| Examples of Learning Communities | 41 |
| Supporting Developmental Learning Communities | 42 |
| Final Words | 43 |
| Social Reproduction and Its Applicability for Community Informatics | 45 |
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| Introduction | 45 |
| Social Reproduction Theory | 46 |
| Breaking the Reproductive Cycle | 48 |
| Communities, Learning, and Democracy in the Digital Age | 50 |
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| The Historical Importance of Access | 50 |
| The Challenge of Achieving Access in the Information Age | 50 |
| The Components of Access: Context, Connectivity,Capability, and Content | 51 |
| Context | 51 |
| Connectivity | 51 |
| Capability | 52 |
| Content | 52 |
| Lifelong Learning – The Persistent Challenge of Access | 53 |
| Radical Praxis and Civic Network Design | 54 |
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| Local Groups Online: Political Learningand Participation | 63 |
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| Introduction | 63 |
| Prior Research | 65 |
| Local Groups and Community Participation | 65 |
| The Role of Opinion Leaders | 66 |
| Group Communication and Involvement | 67 |
| Research Method | 68 |
| Sampling and Stratification | 68 |
| Survey Variables and Constructs | 69 |
| Statistical Analyses | 72 |
| Results | 72 |
| Demographics and Background | 72 |
| Opinion Leaders: Bridges vs. Nonbridges | 73 |
| Communication in Different Types of Groups | 75 |
| Changes in Local Participation and Internet Use | 77 |
| Expressive Groups | 77 |
| Instrumental Groups | 78 |
| Discussion | 78 |
| Community-Based Learning: The Core Competency of Residential, Research-Based Universities | 82 |
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| Introduction | 82 |
| Conceptual Frameworks | 83 |
| Communities: Transcending the Individual Human Mind | 84 |
| Communities of Practice and Communities of Interest | 85 |
| Communities and Networks of Practice | 85 |
| Communities of Interest | 86 |
| Comparing CoPs, NoPs, and CoIs | 87 |
| Social Capital | 89 |
| Social Creativity | 90 |
| Metadesign | 90 |
| Approaches to Community-Based Learning | 91 |
| University of Colorado | 91 |
| Structure and Description of the Local Context | 91 |
| Courses-as-Seeds | 92 |
| Learning to Be: Undergraduate Research Apprenticeship Program | 93 |
| Transdisciplinary Education | 94 |
| Social Networks: Lifelong Learning | 95 |
| University of Siegen | 96 |
| Structure and Description of the Local Context | 96 |
| Courses in Practice: Enculturation of Students into Regional Industries’ CoPs | 96 |
| Learning to Be: Enculturation of Students into Faculty Research CoPs | 98 |
| Transdisciplinary Education: Interdisciplinary Courses for Students from Different Backgrounds | 99 |
| Social Networks: Regional Learning Between Academia and Different Firms | 99 |
| Complementary Approaches to Community-Based Learning | 100 |
| Empirical Findings | 101 |
| University of Colorado | 101 |
| Cultural Change and Risk-Taking | 103 |
| Student Reactions to the “Community-of-Learners” Concept | 104 |
| University of Siegen | 106 |
| Research Methods | 106 |
| Courses in Practice | 106 |
| Regional NoPs | 109 |
| Discussion | 110 |
| Conclusion | 113 |
| Sustaining a Community Computing Infrastructure for Online Teacher Professional Development: A Case Study of Designing Tapped In | 118 |
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| Introduction | 118 |
| Related Work | 119 |
| Methodological Approach and Research Methods | 122 |
| Data Collection | 123 |
| Data Analysis | 124 |
| Data Evaluation | 125 |
| Background of Tapped In | 125 |
| Case Description and Analysis | 126 |
| Contact and Bug Forms | 127 |
| Needed Features Group | 130 |
| Task List | 133 |
| Help Desk Volunteers and Long-Standing Members | 136 |
| Summary | 138 |
| Discussion | 138 |
| Expert Recommender: Designing for a Network Organization | 146 |
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| Introduction | 146 |
| Technical Support for Second-Generation Knowledge Management | 147 |
| Setting | 150 |
| Research Methods | 152 |
| Empirical Findings | 154 |
| Working for Member Companies | 154 |
| Tools for Expertise Sharing | 155 |
| Obstacles to Expertise Sharing | 156 |
| Requirements for Technical Support | 157 |
| Basic Requirements | 158 |
| Indicators for Expertise | 158 |
| Privacy Issues | 160 |
| Feedback Component | 160 |
| Bringing It All Together | 161 |
| Expert Recommender for NIA | 162 |
| Expert Finding Framework | 163 |
| Software Architecture | 164 |
| Matching Keyword Profiles | 165 |
| Matching Personal Data and User Feedback | 166 |
| User Interface | 166 |
| Searching for Experts | 167 |
| Creating the User Profile | 16
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