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The development of student identities--their interests in computer science, perceptions of the discipline, and sense of belonging in the field--is critical for broadening participation of underrepresented groups in computing. This paper reports on the design of portfolios in which two classes of high school students reflected on the process of making electronic textile projects. We examine how students expressed self-authorship in relation to computer science and how the use of reflective portfolios shaped students' perceptions of computer science. In the discussion we consider how reflective portfolios can serve as ideational resources for computer science identity construction.

The importance of cooperative development among and exchange between university information systems is discussed. Cooperative developments in the California State University and Colleges System and exchange efforts between university systems in other states are described. (Author/BH)

The Third International Conference on Data Engineering was held in Los Angeles, California on February 2 to 6, 1987. The conference was designed as an international forum for bringing together researchers, developers, managers, strategic planners and other users with an interest in the research, design and development of data engineering methodologies, strategies and systems. Its scope includes computer science, artificial intelligence, electrical engineering, and computer engineering. It featured papers from all major areas of data engineering, including database design and modeling, performance evaluation, algorithms, integrity, security, fault tolerance, query language, artificial intelligence approaches, knowledge bases, database machines, distributed databases and data engineering applications.

The generalization error bounds found by current error models using the number of effective parameters of a classifier and the number of training samples are usually very loose. These bounds are intended for the entire input space. However, support vector machine (SVM), radial basis function neural network (RBFNN), and multilayer perceptron neural network (MLPNN) are local learning machines for solving problems and treat unseen samples near the training samples to be more important. In this paper, we propose a localized generalization error model which bounds from above the generalization error within a neighborhood of the training samples using stochastic sensitivity measure. It is then used to develop an architecture selection technique for a classifier with maximal coverage of unseen samples by specifying a generalization error threshold. Experiments using 17 University of California at Irvine (UCI) data sets show that, in comparison with cross validation (CV), sequential learning, and two other ad hoc methods, our technique consistently yields the best testing classification accuracy with fewer hidden neurons and less training time. [ABSTRACT FROM AUTHOR]

The Irvine School refers to an intellectual perspective on information technology in complex organizational settings that emerged at the University of California in Irvine, California (UCI), over the last three decades of the 20th century. In many ways, the rise of the Irvine School was synonymous with the rise of researcher Rob Kling's influence on the international community of scholars who would eventually form what Kling called social informatics. This article reflects on Kling's role in the creation of the Irvine School. Kenneth Kraemer, an architect and city planner by training, had joined the UCI Graduate School of Administration in 1967. He was one of the first scholars to begin careful empirical study of the effect of computerization in government agencies, and soon started a research program on information technology and local government at UCI's Public Policy Research Organization. In the early 1970s, researchers Jim Danziger and Rob Kling joined him in this endeavor. Danziger had been trained in political science and public administration. Kling had been trained in electrical engineering and computer science, and had done important work at the intersection of fuzzy logic and planning systems in the area of symbolic artificial intelligence.

Purpose: We aim to better understand the curricular, staffing, and achievement trade-offs entailed by expansions of high-school computer science (CS) for students, schools, and school leaders. Methods: We use descriptive, correlational, and quasi-experimental methods to analyze statewide longitudinal course-, school-, and staff-level data from California, where CS course taking has expanded rapidly. Findings: We find that these rapid CS course expansions have not come at the expense of CS teachers' observable qualifications (namely certification, education, or experience). Within-school course taking patterns over time suggest that CS enrollment growth has come at the expense of social studies, English/language arts (ELA), and arts courses, as well as from other miscellaneous electives. However, we find no evidence that increased enrollment of students in CS courses at a school has a significant effect on students' math or ELA test scores. Implications: Flexible authorization requirements for CS teachers appear to have allowed school leaders to staff new CS courses with teachers whose observable qualifications are strong, though we do not observe teachers' CS teaching skill. Increasing CS participation is unlikely to noticeably improve school-level student test scores, but administrators also do not need to be overly concerned that test scores will suffer. However, school leaders and policymakers should think carefully about what courses new CS courses will replace and whether such replacements are worthwhile. [ABSTRACT FROM AUTHOR]

The author expresses his views on the conferences and workshops on information and communications technology for development (ICT4D) that were held during the Harvard Forum at Harvard University in Cambridge, Massachusetts in September 2009. He talks about his experience of attending the Information and Communications Technology for Development 2009 (ICTD2009) Conference that was held in Qatar. He also offers information on a workshop held in Berkeley, California about computer science and global development.

In 1997, the Moores University of California, San Diego (UCSD) Cancer Center and advocacy groups for people who are deaf and hard of hearing launched a highly successful cancer control collaborative. In 2006, faculty from the Computer Science Department at UCSD invited the collaborative to help develop a new track in their doctoral program. This track would train computer scientists to be culturally competent when working with people who have hearing and visual challenges, with the ultimate goal of developing assistive living devices that would be welcomed by, and useful to, the anticipated end users. Faculty and students began developing ideas for technological advances that were anticipated to benefit people who are deaf and hard-of-hearing. Computer science graduate students and faculty worked with the medical school faculty, staff, and undergraduates to design culturally competent focus groups for people who were deaf and hard-of-hearing. The focus groups were designed to gather opinions of these presumed end users about three, very promising ideas for assistive listening devices. The result was a productive interchange between the computer science team and focus group members. The insights garnered have subsequently been used to refine the three devices. This paper provides an overview of how computer science students were trained to present their technological innovations to people who are deaf and hard-of-hearing and to gain feedback on how their devices might best serve them. Campus Community Partnerships with People Who Are Deaf or Hard-of-Hearing. [ABSTRACT FROM AUTHOR]

The article provides information on the joint IEEE Conference on E-commerce Technology (CEC '06) and Conference on Enterprise Computing, E-commerce and E-computing (EEE '06) to be held on June 26-29, 2006, in San Francisco, California. The event will provide a platform for researchers interested in the theory and practice of e-commerce and enterprise computing. It will focus on new technologies and methods for business process innovation. The joint programs of the two conferences will comprise tutorials, invited lectures, paper presentations, and panel discussions.