Browsing by Subject "learning outcomes"

Sort by: Order: Results:

Now showing items 1-4 of 4
  • Casey, Tuija (Helsingfors universitet, 2011)
    The main purpose of the Master Thesis was to find out what kind of attitudes the pupils in the 9th grade of Finnish comprehensive school have towards music as a school subject and compare it to the attitudes of the principals at a school level. The theoretical context of the research is based on the former studies of the significance of music education in the comprehensive school, the connection between learning and attitudes and the motivational factors towards the study motivation of music. In addition to this, I have analysed the role of the evaluation and the assessment from the point of view of developing the educational system and what is the role of management and leadership in relation to the pupils' behaviour and attitudes. The data of the research is the Finnish National Board of Education's collected data of the assessment of the learning outcomes of arts education and it is nationally representative (N=5056 I phase and n=1570 II phase), both the Finnish-language and the Swedish-language pupil data. I have especially concentrated on the items of measuring the attitudes, the certain background variables and the questionnaire of the principals. The numerical data was analyzed using the multivariate statistical methods. The results of the research prove that in general the pupils and the principals think that music is quite significant as a school subject. The girls valued music on average more than the boys when comparing all the dimensions. The differences were systematic but the effect sizes were under 10 %. There were not statistically significant differences between the Finnish-language and the Swedish-language pupils. Comparing the grades of music in the 7th grade, the differences were growing linearly and the effect size was 15.7 %. There was a positive statistically significant correlation between the Significance of music and music as a hobby (Active interest in music, Informal interest in music, Taking part of music activities in the school) during free time. The strongest correlation were with the Active interest in music variable (r= 0.53, p= .000). Also the principals thought that music is important as a school subject considering the development of the pupil and the function of the school. The answers of the pupils were not clustering at a school level and there were no strong correlations between the attitudes of the pupils and the principals. A statistically nearly significant and a slight correlation (r= 0.21, p= .011) was found between the principals valuing the Significance of the music for school function and the pupils valuing the Benefits and hobbyism. The role of a well-motivated and active music teacher can be important from this point of view. The most important conclusion of the research was that the significance of music is a very personal individual level phenomenon. The results highlight also that in the pupils' opinion the most important thing about music lessons is to musical activity and learning as an experience.
  • Lahtero, Tapio Juhani; Ahtiainen, Raisa; Vainikainen, Mari-Pauliina (2020)
    This paper discusses distributed leadership (DL) as educational leadership structure and its relation to school outcomes in compulsory schools. School outcomes are defined as students’ learning to learn abilities. This study tests two hypotheses. H1: DL is perceived as a continuum consisting of two ends (as delegation and as situation-based interaction between leaders and subordinates). H2: conceptualization of DL as situation-based interaction positively affects the outcomes of the school. The data are leadership inquiry and students’ longitudinal learning to learn follow-up data from grades 3 to 6 or grades 6 to 9. The results indicate that DL does not appear as a unidimensional continuum. Educational leadership is formed from multiple dimensions, and DL is one part of the whole; thus, H1 was incorrect. The conceptualization of DL as situation-based interaction is not statistically satisfactorily related to outcomes of the school; therefore, H2 was also incorrect. The paper concludes that results of this study point to the meaning of local education policy as a means of steering the distribution of students between schools in order to maintain the small between-school differences in student outcomes.
  • Saarinen, Aino I. L.; Lipsanen, Jari; Hintsanen, Mirka; Huotilainen, Minna; Keltikangas-Jarvinen, Liisa (2021)
    Recently, the use of information and communications technology (ICT) at school has been extensively increased in Finland. This study investigated whether the use of ICT at school is linked to students 'learning outcomes in Finland. We used the Finnish PISA 2015 data (N=5037). Cognitive learning outcomes (i.e. science, mathematics, reading, collaborative problem-solving) were evaluated with computer-based tests. ICT use at school, ICT availability at school, and students' perceived ICT competence were assessed with self-rating questionnaires. Frequent ICT use at school predicted students' weaker performance in all the cognitive learning outcomes, when adjusted for age, gender, parental socioeconomic status, students' ICT competence, and ICT availability at school. Further, the effect of ICT use on learning outcomes was more negative in students with higher than lower ICT skills. Frequent use of ICT at school appears to be linked to weaker cognitive learning outcomes in Finland. This may be explained by working memory overload and task-switching during the use of digital technologies. This finding also suggests that even though students with ICT skills are good at mechanical use of digital device, they may not have abilities for a goal-oriented and self-directed use of digital technologies that could promote their learning.
  • Savolainen, Dominic (Helsingin yliopisto, 2021)
    This study attempts to discover the best predictors of mathematics and language learning outcomes across Kenya, Mozambique, Nigeria, Uganda, and Tanzania by analysing World Bank SDI data and using machine learning methods for variable selection purposes. Firstly, I use the SDI data to show the current fragilities in the quality of education service delivery, while also highlighting deficiencies in student learning outcomes. Then, I use CV Lasso, Adaptive Lasso, and Elastic Net regularisation methods to help discover the best predictors of learning outcomes. While the results from the regularisation methods show that private schools, teacher subject knowledge, and teacher pedagogical skills are good predictors of learning outcomes in a sample combining observations from Kenya, Mozambique, Nigeria, Uganda, and Tanzania, the results fail to infer causality by not distinguishing if unobservable factors are driving the results. To quantify the relationship of key predictors, and for statistical significance testing purposes, I then conduct subsequent OLS analysis. Despite not expecting the true partial derivative effects to be identical to the OLS coefficients presented in this study, this study highlights deficiencies in education service delivery and applies methods which help select key predictors of learning outcomes across the sampled schools in the SDI data.