2 resultados para Learning Support, Numeracy, Mathematics, Statistics, Student Progression

em Helda - Digital Repository of University of Helsinki


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The aim of this dissertation was to explore factors which affect first-year law students study success. A modified Biggs s 3P model was used as the theoretical framework. The model includes both personal and contextual factors in student learning. The participants were first-year law students from the academic years 2005-2008, and the data were collected through interviews, open-ended question and electronic questionnaires. Study I explored first-year law students spontaneous descriptions of their learning activities at the beginning of their studies as well as fast study pace law students who had already finished their first year. Even though, law students are selected through a demanding entrance examination, some of the beginner students mentioned using only one or very few learning activities, which were mainly non-generative strategies. On the other hand, it was typical for the fast study pace students to mention generative strategies and elements of organised effort in studying. Study II analysed the relationship between approaches to learning and study success in terms of earned study credits and grade point average among first-year law students in three years. Organised students and students applying a deep approach earned the highest number of credits and the highest grades, whereas students applying a surface approach and unorganised students applying a deep approach received the lowest number of credits and the lowest grades. The study confirms previous findings that organised students constitute the largest cluster among first-year law students. Study III explored factors affecting the study pace of law students during their first academic year. The factors mentioned by the students were classified into four categories of self-regulation: motivation, behaviour, cognition and context. The group of fast study pace students turned out to have good skills in all areas of self-regulation. Respectively, the slow study pace group showed more individual variation, and had weaknesses in one or more areas of self-regulation. In addition, students experienced, that other activities such as working affected their study pace, this could be constitute a fifth category. However, the slow and fast study pace students felt differently about work. According to the slow study pace students, work impeded their studying because it took up too much time. For their part, the fast study pace students were able to allocate their time effectively and felt working to be useful and a counterbalanced to their studying, as well as an opportunity to apply knowledge in practice. Study IV analysed differences in law students perceptions of their teaching-learning environments after three learning periods. The students perceptions were compared with pharmacy and veterinary students perceptions of their teaching-learning environments. The results showed that the law students experienced their teaching-learning environment more negatively than the pharmacy and veterinary students. The law students experienced that alignment, teaching for understanding, staff enthusiasm and support, along with constructive feedback were areas that could be developed at the Faculty. Together the four studies indicate that both law students learning skills and the teaching-learning environment could be further developed. The results imply that managing in the demanding teaching-learning environment of law requires student to effectively employ qualitative learning activities: organised studying and a deep approach to learning and good self-regulation skills. In addition to student counselling, it is important for students study success to direct the teaching-learning environment towards a more learning-focused than content-focused approach to teaching.

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This dissertation empirically explored interest as a motivational force in university studies, including the role it currently plays and possible ways of enhancing this role as a student motivator. The general research questions were as follows: 1) What role does interest play in university studies? 2) What explains academic success if studying is not based on interest? 3) How do different learning environments support or impede interest-based studying? Four empirical studies addressed these questions. Study 1 (n=536) compared first-year students explanations of their disciplinary choices in three fields: veterinary medicine, humanities and law. Study 2 (n=28) focused on the role of individual interest in the humanities and veterinary medicine, fields which are very different from each other as regards their nature of studying. Study 3 (n=52) explored veterinary students motivation and study practices in relation to their study success. Study 4 (n=16) explored veterinary students interest experience in individual lectures on a daily basis. By comparing different fields and focusing on one study field in more detail, it was possible to obtain a many-sided picture of the role of interest in different learning environments. Questionnaires and quantitative methods have often been used to measure interest in academic learning. The present work is based mostly on qualitative data, and qualitative methods were applied to add to the previous research. Study 1 explored students open-ended answers, and these provided a basis for the interviews in Study 2. Study 3 explored veterinary students portfolios in a longitudinal setting. For Study 4, a diary including both qualitative and quantitative measures was designed to capture veterinary students interest experience. Qualitative content analysis was applied in all four studies, but quantitative analyses were also added. The thesis showed that university students often explain their disciplinary choices in terms of interest. Because interest is related to high-quality learning, the students seemed to have a good foundation for successful studies. However, the learning environments did not always support interest-based studying; Time-management and coping skills were found to be more important than interest in terms of study success. The results also indicated that interest is not the only motivational variable behind university studies. For example, future goals are needed in order to complete a degree. Even so, the results clearly indicated that it would be worth supporting interest-based studying both in professionally and generally oriented study fields. This support is important not only to promote high-quality learning but also meaningful studying, student well-being, and life-long learning.