Exploring the feasibility of applying data mining for library reference service improvement : a case study of Turku Main Library

Data mining, as a heatedly discussed term, has been studied in various fields. Its possibilities in refining the decision-making process, realizing potential patterns and creating valuable knowledge have won attention of scholars and practitioners. However, there are less studies intending to combine data mining and libraries where data generation occurs all the time. Therefore, this thesis plans to fill such a gap. Meanwhile, potential opportunities created by data mining are explored to enhance one of the most important elements of libraries: reference service. In order to thoroughly demonstrate the feasibility and applicability of data mining, literature is reviewed to establish a critical understanding of data mining in libraries and attain the current status of library reference service. The result of the literature review indicates that free online data resources other than data generated on social media are rarely considered to be applied in current library data mining mandates. Therefore, the result of the literature review motivates the presented study to utilize online free resources. Furthermore, the natural match between data mining and libraries is established. The natural match is explained by emphasizing the data richness reality and considering data mining as one kind of knowledge, an easy choice for libraries, and a wise method to overcome reference service challenges. The natural match, especially the aspect that data mining could be helpful for library reference service, lays the main theoretical foundation for the empirical work in this study. Turku Main Library was selected as the case to answer the research question: whether data mining is feasible and applicable for reference service improvement. In this case, the daily visit from 2009 to 2015 in Turku Main Library is considered as the resource for data mining. In addition, corresponding weather conditions are collected from Weather Underground, which is totally free online. Before officially being analyzed, the collected dataset is cleansed and preprocessed in order to ensure the quality of data mining. Multiple regression analysis is employed to mine the final dataset. Hourly visits are the independent variable and weather conditions, Discomfort Index and seven days in a week are dependent variables. In the end, four models in different seasons are established to predict visiting situations in each season. Patterns are realized in different seasons and implications are created based on the discovered patterns. In addition, library-climate points are generated by a clustering method, which simplifies the process for librarians using weather data to forecast library visiting situation. Then the data mining result is interpreted from the perspective of improving reference service. After this data mining work, the result of the case study is presented to librarians so as to collect professional opinions regarding the possibility of employing data mining to improve reference services. In the end, positive opinions are collected, which implies that it is feasible to utilizing data mining as a tool to enhance library reference service.

Implementing The KiVa Antibullying Program: What Does It Take?

There is variation in how teachers and schools implement bullying prevention programs. Although this variation has been discussed, there has been little empirical research concerning the relationship between implementation fidelity and program outcomes. This thesis contains three studies, each of them in the context of implementing the KiVa antibullying program, and examines teachers’ actions in preventing and intervening in school bullying. The first aim of this thesis is to examine implementation degree of the KiVa curriculum and its’ association with reductions in victimization and bullying perpetration (Study I). The second aim is to clarify why teachers displayed different degrees of adherence to the KiVa curriculum during a school year (Study II). Thirdly, it is investigated whether recognizing victimization can be difficult for school staff (Study III). In addition to these peer-reviewed studies, the thesis includes a qualitative analysis (unpublished) of the teachers’ open answers concerning their implementation experiences. The data were collected from elementary school teachers (Studies I–II; the unpublished study), elementary school students (Study I), and students on the elementary and middle school levels (Study III) during the evaluation of the effectiveness of KiVa antibullying program between 2007 and 2009. The findings demonstrate that a larger reduction in victimization can be achieved in classrooms where teachers display higher levels of adherence to the KiVa curriculum and invest more time for preparing the lessons. Bullying perpetration, however, was not equally affected by the level of curriculum implementation. With respect to the implementation process over one year, there was significant variation between individual teachers’ activity—ranging from systematic and high implementation to declining delivery from lesson to lesson. The sustained actions (high and moderate levels of implementation) were premised on principal support for antibullying work. Lesson preparation was associated with keeping implementation high throughout the school year. The findings also implied that the belief in the effectiveness of the program is important for a higher implementation degree at starting point of the process. Finally, there are severe flaws in teachers’ ability to identify students who are victimized. As it turns out, it is possible that only one-fourth of chronically victimized students are helped by the school staff. Especially when the victims are middle-school-aged girls, when they bully others themselves, or when they do not tell adults about bullying, reaching out for them is difficult. Implementation and dissemination of research-based interventions will take a good deal of time and effort. The findings demonstrate that active implementation is important for improving program outcomes. They also show how implementation can be sustained—there are both individual and interpersonal factors that facilitate or inhibit high-quality implementation. Thus, implications for future research regarding the implementation of school-based programs are suggested.