Academic self‐beliefs and prior knowledge as predictors of student achievement in Mathematics: a structural model

The aim of this study was to explore the relationships between prior knowledge, academic self‐beliefs, and previous study success in predicting the achievement of 139 students on a university mathematics course. Structural equation modelling was used to explore the interplay of these variables in predicting student achievement. The results revealed that domain‐specific prior knowledge was the strongest predictor of student achievement over and above other variables included in the model and, together with previous study success, explained 55% of the variance. Academic self‐beliefs strongly correlated with previous study success and had a strong direct influence on prior knowledge test performance. However, self‐beliefs predicted student achievement only indirectly via prior knowledge. The results imply that both prior knowledge and self‐beliefs should be taken into account when considering instructional support issues, because they can provide valuable insights about the future performance of the students.     

How to Diagnose At‐risk Students in Chemistry: The case of prior knowledge assessment

This study explores the relationship between different types of prior knowledge and student achievement in an introductory chemistry course. Student achievement was regarded as the pace of completing the course as well as the final grade. A model of prior knowledge is proposed; this distinguishes between different types of prior knowledge and suggests how different types of prior knowledge should be assessed. The participants were 193 chemistry students from the University of Helsinki. Their prior knowledge was assessed with a questionnaire based on the prior knowledge model. The results indicate that the quality of prior knowledge is clearly reflected in the pace of completing the course and in the tendency to drop out of the course. Students who had deeper‐level prior knowledge were more likely to complete the course in the pre‐scheduled time and to get higher final grades, whereas students who performed lower in the prior knowledge test were more likely to either drop out or did not complete the course in pre‐scheduled time. The study implies that making a distinction between different types of prior knowledge is a potential way to identify students who are in need of more support.     

Exploration of individual study paths of successful first-year students: an interview study

European Journal of Psychology of Education - The aim of the present study was to explore the individual profiles of successful, rapidly progressing first-year university students. The participants...     

What impedes or enhances my studying? The interrelation between approaches to learning,factors influencing study progress and earned credits

The aim of the study is to explore how students' experiences of enhancing and impeding factors and approaches to learning are related to students' study progress. A total of 93 students from the Faculty of Arts and Humanities participated in the study by answering a Learn-questionnaire regarding their experiences of the enhancing and impeding factors and their approaches to learning. Regression analysis showed that working impeded study progression whereas interesting teaching enhanced it. However, the results revealed that the factors that enhance or impede studying appear to be closely mediated by students' approaches to learning. For example, working was not problematic for students with good organising skills. The findings suggest that it may not be possible to identify the factors that would enhance or impede studying without taking individual differences into consideration. In addition, the results imply that the focus in teaching should be in developing students' self-regulation skills.     

EXPLORING ALTERNATIVE WAYS OF ASSESSING PRIOR KNOWLEDGE, ITS COMPONENTS AND THEIR RELATION TO STUDENT ACHIEVEMENT: A MATHEMATICS BASED CASE STUDY

This study investigates how different types of prior knowledge influence student achievement and how different assessment measures influence the observed effect of prior knowledge. We introduce a model of prior knowledge that distinguishes between different types of prior knowledge and uses different assessment measures to assess different types of knowledge. The sample consists of 202 mathematics students who completed the prior knowledge test during the first lesson. The student achievement was measured by the final grade on the course. The results indicate that the type of prior knowledge makes a difference: The measures assessing procedural knowledge predicted the final grades best whereas measures assessing declarative knowledge did not predict final grades. Additionally, previous study success was the best predictor of student achievement. These results are discussed in relation to assessment measures and their implications for practice.     

The interplay between academic emotions,psychological flexibility and self-regulation as predictors of academic achievement

Research concerning students’ emotions as well as their way of coping with their emotions in different situations has been scarce. The purpose of this study is to explore the relationship between self-regulated learning, academic emotions, psychological flexibility, study success and study pace during university-level studies. A total of 274 arts students participated in this study. Academic emotions were first explored with factor analyses, parallel analysis and confirmatory factor analyses. The relationship between self-regulated learning, psychological flexibility, academic emotions and study success and study pace was analysed using Pearson’s correlations and path analysis using Amos. The results revealed that there is a strong connection between self-regulated learning and academic emotions and that students’ self-regulations appear to affect students’ emotions with regard to their academic study. Furthermore, psychological flexibility appeared to be an important mediator between academic emotions and study pace. The study suggests that students’ emotions and their way of coping with these emotions should be taken into account when considering learning and teaching.     

Students’ experiences of the factors affecting their study progress: differences in study profiles

Many factors influence students’ progress in higher education. However, the students’ own voices are seldom heard. Using a qualitative approach, the study explored students’ own experiences of the factors that have influenced their studying. Research has indicated that students’ experiences are often related to their approaches to learning. Therefore, experiences of enhancing and impeding factors were explored here in relation to different study profiles. Altogether 736 open-ended answers were analysed by qualitative context analysis. After establishing the categories of enhancing and impeding factors and creating the student profiles, the differences between the profiles were examined using chi-square tests. The results revealed that the students had experienced a broad variety of factors that influenced their studying. These experiences varied widely with regard to the students’ study profiles. In particular, those in the Students applying a surface approach and Unorganised students applying a deep approach profiles appeared to experience more obstacles in their studies than the students in other profiles. Characteristic of these two profiles was the students’ low ability to organise their studies, that is, manage their time and effort. The study suggests that at least part of the variation in students’ experiences of the factors influencing their progress is explainable by the students’ learning profiles. Whether it would be useful to identify different student profiles rather than concentrate on asking the students directly about their experiences of enhancing and impeding factors is discussed.