Staff development planning in an academic health sciences library.

OBJECTIVE: A staff development committee (SDC) was convened to implement staff development opportunities for an academic health sciences library system comprised of three separate facilities. The charge for the SDC was to: (1) develop programs to enhance workplace skills and personal growth, (2) communicate the availability of existing programs at the university and medical center, and (3) encourage the staff to participate in these opportunities. PROGRAM: The committee created goals and objectives and developed a survey designed to give staff the opportunity to provide input for this initiative. With an 80% response rate, the survey results were used to plan 15 events based on staff needs and preferences. First-year attendance for SDC-sponsored events was 459. Committee members served as liaisons for each event. Two forms were developed to facilitate event planning. A monthly announcement sheet, email reminders, and the library's local area network are used to communicate upcoming SDC events and encourage attendance. CONCLUSION: This approach can serve as a useful model for similar program planning in any organization.     

A model to explain information seeking behaviour by individuals in the response phase of a disaster

This Australian study establishes a model that provides a foundation for communication channels and tools selection by agencies in the post-warning response phase of a disaster. The model, developed from disaster and information seeking literature, attempts to predict information source and channel selection by people after their community has received a warning for a disaster. It provides the coding framework for analysis of 51 semi-structured interviews with disaster-affected Australians. The interviews tested the model for accommodation of channels and sources that people chose, found most useful, and used most in bushfire, slow flood, flash flood, and cyclone situations. The order of initial sources was investigated and preliminary information seeking pathways established across disaster types. The disaster information seeking model supports this investigation of information seeking behaviour, though improvements are suggested. The resulting model could guide agency response communication for different disaster types.     

Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.     

Teacher Beliefs in Action: A Cross-Sectional,Longitudinal Follow-Up Study of Teachers' Personal Practical Theories

Based on a cross-sectional, longitudinal follow-up study of graduates from our master's-level elementary education program, in this article we examined changes in espoused beliefs elicited in the form of personal practical theories (PPTs) of three graduates with 2, 4, and 6 years of experience teaching in the same partnership school where they did their student teaching. We compared their original PPTs collected during their teacher education program with their current PPTs elicited in follow-up interviews, and then observed their classroom practices. Case summaries of these teachers are presented, and analysis and implications focus on changes in their PPTs, how their PPTs played out in their classrooms, and perceived barriers and supports to enacting their beliefs.