Skip to main content
Login | Suomeksi | På svenska | In English

Browsing by Subject "cluster analysis"

Sort by: Order: Results:

  • Miettinen, Marianne (2024)
    Objectives. Previous research has indicated that there is a reciprocal relationship between achievement emotions and mathematics achievement. Little is known about student profiles according to achievement emotions. The research tasks of the study were to identify achievement emotion profiles, its relation to mathematics, and possible differences in the profiles regarding emotions related to class, homework and test situation. The final research task was to examine whether the distribution of grade and sex differ in the profiles. Methods. This study used data from MathMot 2022. The sample (N = 1755) consisted of Finnish 3-4 grade students. The analyses were based on AEQ-ES questionnaire. The main analyses firstly identified achievement emotion profiles, and secondly contributed importantly by replicating the results of previous studies. The analyses were conducted using hierarchical and K-means clustering, and ANOVA in SPSS. Results and conclusions. There were three achievement emotion profiles: positive profile (36%), moderate profile (47%) and negative (bored) profile (17%). The profiles differed statistically significantly in mathematics, with small effect sizes. The profiles were observed to be similar when the class, homework and test situations were considered. Finally, grades 3 and 4 differed in the profile membership, as did boys and girls. The results and implications are discussed.
  • Nurttila, Suvi (2014)
    In today's society it is desirable to be successful and continuously progressive. At the same time it is seen important to focus on one's well-being and seeking optimal experiences. In studying, the interaction between motivation and well-being as well as the importance of positive learning experiences is an actual entirety. Taking students conceptions of learning and knowledge into account brings in a richer perspective that has been less frequently studied. Conceptions of learning and knowledge, otherwise epistemologies, are crucial in governing student's ways of interpreting and evaluating information, as well as their view on the learning process. An important recent insight on the field of educational research is the growing idea that motivational, emotional and cognitive dimensions are not only intrinsically significant, but also in intense interaction with each other and with the learning environment. The aim of this study was to investigate what kinds of motivational factors and problems in well-being do novice students experience in their studies, and also what their epistemologies are like. The approach was person-oriented. Motivational factors were: experienced challenge and competence, thinking strategies and attributions, and study engagement. Problems in well-being were measured through emotional dimension (stress, exhaustion) on the one hand, and through motivational dimension (lack of interest, task avoidance) on the other. Epistemologies measured in this study were: collaborative knowledge building, reflective learning, metacognition, certainty of knowledge and practical value. The data (n=785) were collected in spring and autumn 2012 by using a questionnaire developed by RYM Indoor Environment project. The participants were first and second year students from Aalto university of Technology and four departments in University of Helsinki: Department of Teacher education, Department of Chemistry, Faculty of Theology, and Faculty of Law. K-means cluster analysis was used for clustering students into homogenous groups that presented their experienced motivational factors. To see whether the groups differed in terms of problems in well-being or epistemologies, Oneway analysis of variance was conducted. Also potential differences in certain background variables were investigated by using crosstabs (gender, study discipline) and Kruskal-Wallis test (age). Three studying profiles were identified: 1) pessimistic, 2) bored, 3) engaged. Pessimistic students reported the lowest study engagement, optimism and competence and the highest task avoidance and problems in well-being. They valued certain knowledge the most. Bored students experienced the lowest challenge, quite low study engagement and moderate optimism, competence and lack of interest. They reported the lowest practical value of knowledge. Engaged students had the highest study engagement, optimism and competence, lowest task avoidance and the least problems in well-being. They valued collaborative knowledge building, reflective learning and metacognition the most. There were not found gender differences between the studying profiles. Instead, it turned out that pessimistic students were the youngest. When comparing different study disciplines, the results indicated that in the Department of Teacher education, as well as in the Faculties of Law and Theology, the largest section of participants was identified as engaged students. Among participants from Aalto university and the Department of Chemistry, the largest section was identified as pessimistic students. This study demonstrates the idea of the dynamic interplay between motivational, emotional and cognitive dimensions in studying. In conclusion, students personal motivational factors, well-being and epistemologies form unique entireties. It can be deduced on the basis of earlier research, that these entireties are of utmost importance regarding studying and can be either worthwhile or detrimental to it. In the future, more proof is needed about the concrete relations and potential effects on study success, for example, as supporting successful studying and graduating on schedule are topical politico-educational subjects in Finland. Also little is known about the relations between well-being and epistemologies. The results of this study could be utilized in developing and designing higher education.
  • Ketonen, Elina (2011)
    Previous studies indicate that positive learning experiences are related to academic achievement as well as to well-being. On the other hand, emotional and motivational problems in studying may pose a risk for both academic achievement and well-being. Thus, emotions and motivation have an increasing role in explaining university students learning and studying. The relations between emotions, motivation, study success and well-being have been less frequently studied. The aim of this study was to investigate what kind of academic emotions, motivational factors and problems in studying students experienced five days before an exam of an activating lecture course, and the relations among these factors as well as their relation to self-study time and study success. Furthermore, the effect of all these factors on well-being, flow experience and academic achievement was examined. The term academic emotion was defined as emotion experienced in academic settings and related to studying. In the present study the theoretical background to motivational factors was based on thinking strategies and attributions, flow experience and task value. Problems in studying were measured in terms of exhaustion, anxiety, stress, lack of interest, lack of self-regulation and procrastination. The data were collected in December 2009 in an activating educational psychology lecture course by using a questionnaire. The participants (n=107) were class and kindergarten teacher students from the University of Helsinki. Most of them were first year students. The course grades were also gathered. Correlations and stepwise regression analysis were carried out to find out the factors that were related to or explained study success. The clusters that presented students' problems in studying as well as thinking strategies and attributions, were found through hierarchical cluster analysis. K-means cluster analysis was used to form the final groups. One-way analysis of variance, Kruskal-Wallis test and crosstabs were conducted to see whether the students in different clusters varied in terms of study success, academic emotions, task value, flow, and background variables. The results indicated that academic emotions measured five days before the exam explained about 30 % of the variance of the course grade; exhaustion and interest positively, and anxiety negatively. In addition, interest as well as the self-study time best explained study success on the course. The participants were classified into three clusters according to their problems in studying as well as their thinking strategies and attributions: 1) ill-being, 2) carefree, and 3) committed and optimistic students. Ill-being students reported most negative emotions, achieved the worst grades, experienced anxiety rather than flow and were also the youngest. Carefree students, on the other hand, expressed the least negative emotions and spent the least time on self-studying, and like committed students, experienced flow. In addition, committed students reported positive emotions the most often and achieved the best grades on the course. In the future, more in-depth understanding how and why especially young first year students experience their studying hard is needed, because early state of the studies is shown to predict later study success.
  • Niilekselä, Pia (2017)
    Entrance to academic studies does not automatically lead to commitment in one's studies. There may be differences in student commitment across different learning environments. In the present study, combinations of problems in studying medical students experience were investigated in a lecture-based learning environment (n = 246) and in a problem-based learning environment (n = 231). Also differences between the combinations in task avoidance and differences between the combinations in academic achievement were investigated in each learning environment. Medical students were classified in different learning environments by K-means cluster analysis by cases into groups based on the following variables: exhaustion, lack of self-regulation, lack of interest and distress. Three groups of commitment among medical students were identified in the lecture-based learning environment: committed, carefree and dysfunctional students. The profiles were related to task avoidance but not to study success. The committed students expressed less task avoidance than the carefree students and the dysfunctional students. The latter two groups of medical students did not differ from each other in this case. Also three groups of commitment among medical students were identified in the problem-based learning environment: committed, committed carefree and dysfunctional students. The profiles were related to task avoidance and study success. The dysfunctional students expressed more task avoidance than the committed carefree students and the committed students. The latter two groups of medical students did not differ from each other in this case. The committed students and the committed carefree students gained better grades than the dysfunctional students. However, the former two groups of medical students did not differ from each other in this case. The implications of the study for research are discussed.
  • Mukala, Elina (2015)
    In Finland, the vast majority of students complete their university degree later than the target times propose. This has been acknowledged to be problematic on a societal level. In previous studies, students' self-regulatory skills have risen as a main factor when the impeding and enhancing factors of studying have been explored. In addition to self-regulatory skills, students' academic emotions have been found to influence study performance. According to earlier studies, it is also relevant how students deal with their emotions. Psychologically flexible students are able to embrace their emotions and they are capable of living their lives according to their values. The aim of this study is to explore the self-regulatory skills, academic emotions and psychological flexibility of students in the Faculty of Humanities in University of Helsinki and the relationships between these concepts. In addition, a point of interest is how these factors are linked to study performance. The research data was collected by a survey. In addition the information of students' average scores and the amount of student credits were collected from the study register. 258 students responded to the questionnaire. Dimensions of self-regulation, academic emotions and psychological flexibility were explored by factor analysis and the links between these dimensions were examined by correlation analysis. In addition students were grouped based on their self-regulatory skills, psychological flexibility and experienced emotions by using two-step cluster analysis. The differences of the groups' study pace and means of grades were examined using one-way analysis of variance. Students felt that they are psychologically quite flexible, and they experienced more positive emotions than negative emotions. They also had rather good self-regulation skills. Psychological flexibility was associated with a feeling of hopefulness, and emotions were found to correlate with each other. However, there was no correlation between psychological flexibility and the regulation of learning. On the basis of cluster analysis, the students were classified into three groups: 1) hopeful, self-regulating and psychologically flexible students 2) students who have a contradictory attitude towards studying and have challenges in the regulation learning, and 3) students who experience feelings of anxiety and shame. There was no difference between the groups in the number of credits and the averages of grades. In the future, more information is needed about why some students experience a lot of negative emotions related to learning, and how important psychological flexibility is to the well-being of students and to study performance.