Basics of qualitative research: Grounded theory procedures and techniques

Experience and Educationis the best concise statement on education ever published by John Dewey, the man acknowledged to be the pre-eminent educational theorist of the twentieth century. Written more than two decades after Democracy and Education(Dewey's most comprehensive statement of his position in educational philosophy), this book demonstrates how Dewey reformulated his ideas as a result of his intervening experience with the progressive schools and in the light of the criticisms his theories had received. Analysing both "traditional" and "progressive" education, Dr. Dewey here insists that neither the old nor the new education is adequate and that each is miseducative because neither of them applies the principles of a carefully developed philosophy of experience. Many pages of this volume illustrate Dr. Dewey's ideas for a philosophy of experience and its relation to education. He particularly urges that all teachers and educators looking for a new movement in education should think in terms of the deeped and larger issues of education rather than in terms of some divisive "ism" about education, even such an "ism" as "progressivism." His philosophy, here expressed in its most essential, most readable form, predicates an American educational system that respects all sources of experience, on that offers a true learning situation that is both historical and social, both orderly and dynamic.

经验与教育 = Experience and education

From the Publisher: 
A Question of Identity 
Life on the Screen is a fascinating and wide-ranging investigation of the impact of computers and networking on society, peoples' perceptions of themselves, and the individual's relationship to machines. Sherry Turkle, a Professor of the Sociology of Science at MIT and a licensed psychologist, uses Internet MUDs (multi-user domains, or in older gaming parlance multi-user dungeons) as a launching pad for explorations of software design, user interfaces, simulation, artificial intelligence, artificial life, agents, "bots," virtual reality, and "the on-line way of life." 
Turkle's discussion of postmodernism is particularly enlightening. She shows how postmodern concepts in art, architecture, and ethics are related to concrete topics much closer to home, for example AI research (Minsky's "Society of Mind") and even MUDs (exemplified by students with X-window terminals who are doing homework in one window and simultaneously playing out several different roles in the same MUD in other windows). Those of you who have (like me) been turned off by the shallow, pretentious, meaningless paintings and sculptures that litter our museums of modern art may have a different perspective after hearing what Turkle has to say. 
This is a psychoanalytical book, not a technical one. However, software developers and engineers will find it highly accessible because of the depth of the author's technical understanding and credibility. Unlike most other authors in this genre, Turkle does not constantly jar the technically-literate reader with blatant errors or bogus assertions about how things work. Although I personally don't have time or patience for MUDs,view most of AI as snake-oil, and abhor postmodern architecture, I thought the time spent reading this book was an extremely good investment.

스크린 위의 삶 = Life on the screen : identity in the age of the internet

We examined 155 behavioral information systems research articles published from 1983-1988and found that while this research is not rooted in a single overarching theoretical perspective itdoes exhibit a single set of philosophical assumptions about the nature of valid evidence andthe phenomena of interest to information systems researchers. We argue in this paper that thesephilosophical assumptions draw on the natural science tradition, and hence may not always beappropriate for inquiry into the relationships between information technology and people or organizations. In particular, we suggest that the development and use of information technologywithin organizations is inherently processual and contextual, and that these characteristics are notalways adequately captured by the philosophical assumptions prevalent in information systemsresearch. Positing social process as central to information systems phenomena asserts theimportance of studying the ongoing interactions among people, information technology andorganizations, as these are situated historically and contextually.We argue in this paper that the dominant research perspective in information systems research isnot well-equipped to deal with situated interactions over time, and propose additional researchphilosophies to augment the one currently favored by behavioral information systemsresearchers. We outline the features of such additional research perspectives, the interpretive andthe critical, providing empirical examples to illustrate how and when they may be useful. Weconclude that multiple research perspectives can usefully be employed within the informationsystems community to enrich understanding of behavioral information systems phenomena.

https://papers.ssrn.com/sol3/Delivery.cfm/2451_14404.pdf?abstractid=1289076&mirid=1&type=2

Studying Information Technology in Organizations: Research Approaches and Assumptions

We examined 155 information systems research articles published from 1983 to 1988 and found that although this research is not rooted in a single overarching theoretical perspective, it does exhibit a single set of philosophical assumptions regarding the nature of the phenomena studied by information systems researchers, and what constitutes valid knowledge about those phenomena. We believe that a single research perspective for studying information systems phenomena is unnecessarily restrictive, and argue that there exist other philosophical assumptions that can inform studies of the relationships between information technology, people, and organizations. In this paper, we present two additional research philosophies for consideration-the interpretive and the critical-and for each we provide empirical examples to illustrate how they are used. We conclude by suggesting that much can be gained if a plurality of research perspectives is effectively employed to investigate information systems phenomena. Philosophical assumptions—Research approaches—Positivist research—Interpretivist research—Critical research

Publisher Summary This chapter examines web models for understanding the dynamics of computing development and its use in organizational life. The chapter describes the study of the relative explanatory power of the discrete-entity model and web model by drawing upon the existing research literature and three case studies. The chapter explores different kinds of insights each model provides into the social dynamics of computing development and use. The chapter also illustrates the ways by which each model provides analytical power for making evaluations and predictions. Five major propositions that web analysts essentially make about the dynamics of computing development and use are also presented. The chapter concludes by examining two additional cases of computer developmentand use. It is noted that web models allow better predictions of the outcomes of using socially-complex computing developments in contrast to the discrete-entity models. Web analysts examine the interaction between people and technologies as part of a larger social and technical mosaic, in which the development and use of the focal technology is embedded.

The Web of Computing: Computer Technology as Social Organization

Presents an initial set of findings from an empirical study of social processes, technical system configurations, organisational contexts and interrelationships that give rise to open software. The focus is directed at understanding the requirements for open software development efforts, and how the development of these requirements differs from those traditional to software engineering and requirements engineering. Four open software development communities are described, examined and compared to help discover what these differences may be. Eight kinds of software informalisms are found to play a critical role in the elicitation, analysis, specification, validation and management of requirements for developing open software systems. Subsequently, understanding the roles these software informalisms take in a new formulation of the requirements development process for open source software is the focus of the study. This focus enables the consideration of a reformulation of the requirements engineering process and its associated artefacts, or (in)formalisms, to better account for the requirements for developing open source software systems.

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Understanding the requirements for developing open source software systems

Extraction of the structural and, to a lesser degree, functional and dynamic properties of systems composed of modules and subsystems is treated. The process is equivalent to reverse engineering a system-level design description. The approach used is to map the resource exchange among modules and then derive a hierarchical design description using a system-restructuring algorithm. The medium for the design description is a module interconnection language, NuMIL. The performance of the algorithm shows that it is practical. >

Extracting and restructuring the design of large systems

Software systems come and go through a series of passages that account for their inception, initial development, productive operation, upkeep, and retirement from one generation to another. This article categorizes and examines a number of methods for describing or modeling how software systems are developed. It begins with background and definitions of traditional software life-cycle models that dominate most textbook discussions and current software development practices. This is followed by a more comprehensive review of the alternative models of software evolution that are of current use as the basis for organizing software engineering projects and technologies.


Keywords:

software process model;
definition;
software life-cycle models;
development models;
production process models

/pdf/process-models-in-software-engineering-3x5qvbxlt2.pdf

Process Models in Software Engineering

This article introduces a special issue of Software Process—Improvement and Practice focusing on processes found in free or open source software development (F/OSSD) projects. It seeks to provide a background overview of research in this area through a review of selected empirical studies of F/OSSD processes. The results and findings from a survey of empirical studies of F/OSSD give rise to an interesting variety of opportunities and challenges for understanding these processes, which are identified along the way. Overall, what becomes clear is that studies of F/OSSD processes reveal a more diverse set of different types of processes than have typically been examined in conventional software development projects. The articles in this special issue further advance understanding of what processes characterize and shape F/OSSD. Copyright © 2006 John Wiley & Sons, Ltd.

Walt Scacchi

Papers

The Web of Computing: Computer Technology as Social Organization

Understanding the requirements for developing open source software systems

Extracting and restructuring the design of large systems

Process Models in Software Engineering

Understanding Free/Open Source Software Development Processes