959 resultados para Other: DRDP, University of Turku


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The collection of ferromanganese nodules at Naturhistoriska Riksmuseet, Stockholm, Sweden has been donated by Pr. Boström, K. and Ingri, J. from the Technical University of Lulea. They have been collected in the Bothnia Gulf, the Baltic Sea anfd the Barents sea from 1976 until 1985. In 1997 it is was put to the care custody of the Laboratory for Isotope Geology (LIG) of NRM. As part of the Access Project at LIG, Curt Boman has gone through the collection and established a database with detailed information about the samples it contains. Ferromanganese nodules typically display a rounded shape and are formed by redox processes at the interface between the seabed sediment and water. In addition to iron and manganese they also contain other metal elements. Nodules chemical composition reflects the substances found in the sediment to which they are associated. Since the nodules grow continuously, they reflect changes in the sedimentary environment chemistry on a yearly basis, which makes them very interesting as environmental archives. The nodules can be found locally in large quantities and due to their metal content they are also economically interesting as a source of raw materials.

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A general guide and sourcebook of resources on looking for professional positions, including setting up interviews, polishing interview skills, compiling resumes and other job-search skills.

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In this MA thesis, Finnish learners of English were studied in order to examine the relationship between second language vocabulary size, vocabulary depth, and reading comprehension. In addition, given the well-established connection between vocabulary size and reading comprehension, the second aim of the study was to see whether assessing vocabulary depth could add another dimension in predicting and explaining reading comprehension proficiency. Two groups were studied: the first group consisted of 39 Finnish upper secondary school students (the TOKA group) whereas the second group consisted of 19 university students of English at the University of Turku (the YLI group). Thus, comparisons were made between the results of a less advanced and a very advanced group of English learners, which was the third aim of the study. The participants in both groups filled in a background information form and took three tests: a multiple-choice reading comprehension test, a multiple-choice vocabulary size test, and a test designed to elicit information on learners’ depth of vocabulary knowledge of certain English words. The data were analysed using statistical methods. The results of the study show that the scores on the three tests were positively correlated in both study groups as well as in the two groups together. However, the correlations were higher in the TOKA group and in the two groups in total than in the YLI group. When examining the variance in reading comprehension test scores explained by vocabulary size and vocabulary depth, the figures of explained variance were again higher in the TOKA group and in the two groups in total than in the YLI group. When it comes to the results of the YLI group, vocabulary depth did not indeed seem to add any explained variance into the explanation of reading comprehension test scores. Based on the results of the study, it seems that vocabulary size and depth have a less significant role in the reading comprehension skills of more advanced learners of English. When looking at the less advanced TOKA group, on the other hand, vocabulary size and depth seem to be clear indicators of reading proficiency. In addition, the test results of the YLI group were clearly more uniform than those of the TOKA group. The variance in the test results of the TOKA group was large.

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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.

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Student Digital Experience Tracker Case Study: University of Westminster. A case study describing the pilot of the Jisc Student Digital Experience Tracker at the University of Westminster.

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Student Digital Experience Tracker Case Study: University of Northampton describing their experience of being in the Jisc pilot.

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Student Digital Experience Tracker Case Study: University of Nottingham Ningbo China describing their experience of being in the Jisc pilot.

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Student Digital Experience Tracker Case Study: University of Westminster to describe their participation in the Tracker pilot.

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Background: Learning styles are cognitive, emotional, and physiological traits, as well as indicators of how learners perceive, interact, and respond to their learning environments. According to Honey-Mumford, learning styles are classified as active, reflexive, theoretical, and pragmatic. Objective: The purpose of this study was to identify the predominant learning styles among pharmacy students at the Federal University of Paraná, Brazil. Methods: An observational, cross-sectional, and descriptive study was conducted using the Honey-Alonso Learning Style Questionnaire. Students in the Bachelor of Pharmacy program were invited to participate in this study. The questionnaire comprised 80 randomized questions, 20 for each of the four learning styles. The maximum possible score was 20 points for each learning style, and cumulative scores indicated the predominant learning styles among the participants. Honey-Mumford (1986) proposed five preference levels for each style (very low, low, moderate, high, and very high), called a general interpretation scale, to avoid student identification with one learning style and ignoring the characteristics of the other styles. Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 20.0. Results: This study included 297 students (70% of all pharmacy students at the time) with a median age of 21 years old. Women comprised 77.1% of participants. The predominant style among pharmacy students at the Federal University of Paraná was the pragmatist, with a median of 14 (high preference). The pragmatist style prevails in people who are able to discover techniques related to their daily learning because such people are curious to discover new strategies and attempt to verify whether the strategies are efficient and valid. Because these people are direct and objective in their actions, pragmatists prefer to focus on practical issues that are validated and on problem situations. There was no statistically significant difference between genders with regard to learning styles. Conclusion: The pragmatist style is the prevailing style among pharmacy students at the Federal University of Paraná. Although students may have a learning preference that preference is not the only manner in which students can learn, neither their preference is the only manner in which students can be taught. Awareness of students’ learning styles can be used to adapt the methodology used by teachers to render the teaching-learning process effective and long lasting. The content taught to students should be presented in different manners because varying teaching methods can develop learning skills in students.

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The University of South Carolina Aiken reports to the Office of State Budget its annual accountability report that includes an executive summary, a description of the leadership system, customer focus and satisfaction and other performance criteria, mission, and program descriptions and budgets.

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The University of South Carolina Aiken reports to the Office of State Budget its annual accountability report that includes an executive summary, a description of the leadership system, customer focus and satisfaction and other performance criteria, mission, and program descriptions and budgets.

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The University of South Carolina Aiken reports to the Office of State Budget its annual accountability report that includes an executive summary, a description of the leadership system, customer focus and satisfaction and other performance criteria, mission, and program descriptions and budgets.