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The aim of the present study is to explore changes both in approaches to learning as well as in students' experiences of the teaching-learning environment and how these changes are related to each other during their Bachelor studies by using a longitudinal data set. The aim is further to explore how students' approaches to learning and their perceptions of the teaching-learning environment relate to study success. Participants comprised of 103 students at the Faculty of Biological and Environmental Sciences who participated in the present study from the first to third year of their Bachelor degree studies. We used a modified version of the ETLQ questionnaire and conducted Confirmatory factor analyses on scales representing approaches to learning and the teaching-learning environment at both measurements. We investigated changes at the group level using a paired sample t-test and conducted the final analysis with regression analyses. We then used Structural Equation Modelling to analyse the relationship between approaches to learning, perceptions of the teaching-learning environment, and study success. The results showed an increase in the deep approach to learning and a decrease in students' perceptions of teaching for understanding. Organised studying and interest in studies were related to study success. The results reveal the existence of complex relations between changes in approaches to learning and perceptions of the teaching-learning environment.

Workplace learning is becoming a central tenet for a large proportion of today's employees. This seems especially true for so-called knowledge workers. Today, it remains unclear how differences in the quality of workplace learning are affected by differences in perception of the workplace environment and the motivation of knowledge workers to learn. Moreover, the possible role of motivation as a mediating factor between workplace climate factors and learning is underexplored. This paper therefore investigates direct and indirect links between perceptions of the workplace climate, motivation to learn and approaches to learning in the workplace. Knowledge workers (N?=?202) in one knowledge intensive organisation were questioned using existing and adapted questionnaires to measure learning approaches, motivation and workplace climate. Correlations and multivariate regression analyses were carried out to assess direct relationships amongst variables. Path analysis was carried out to assess the mediating role of motivation. Results show that both workplace climate factors and motivation directly influence employees' approaches to learning. Some direct relationships between workplace climate factors and motivation were also uncovered. Results regarding the mediating role of motivation showed that the effect of good supervision on deep learning is completely mediated by autonomous motivation. The effect of choice independence on deep learning approach is partially mediated by the same motivational drive. A-motivation was found to partially mediate the link between good supervision and a surface disorganised approach. Implications for research and practice are discussed.

Research regarding the development of students' learning approaches have at times reported unexpected or lack of expected changes. The current study explores the idea of differential developments in learning approaches according to students' initial learning profiles as a possible explanation for these outcomes. A learning profile is conceived as the degree to which students use aspects of deep and surface approaches in their learning process and taking into account the dynamic interrelations between these aspects. Two cohorts of students in a teacher-training course-module completed questionnaires measuring their learning approaches, in a pre-test post-test design. Analyses on the whole sample indicated few significant changes in students' learning approaches during the course-module. Only a significant decrease in the deep motive subscale was found. Hierarchical cluster-analysis revealed four groups of students with specific initial learning profiles: a deep approach profile, a surface approach profile, an all-low profile and an all-high profile. Using a regressor variable approach, significant differences in growth were found for the initial learning profiles on the surface approach to learning and the deep strategy scale, even after controlling for other significant background variables such as students' academic discipline and gender. These results suggest that unexpected developments in students' learning approaches, or lack of significant changes at a whole-group level, may be partially due to dynamic (contradictory) tendencies at the sub-group level. Findings point towards the need of looking at approaches to learning at a more fine-grained level. (Contains 4 tables and 1 figure.)

Change in learning strategies during higher education is an important topic of research when considering students' approaches to learning. Regarding the statistical techniques used to analyse this change, repeated measures ANOVA is mostly relied upon. Recently, multilevel and multi-indicator latent growth (MILG) analyses have been used as well. The present study provides details concerning the differences between these three techniques. By applying them to the same dataset, we aim to answer two research questions. Firstly, how are findings on the average trend complementary, convergent or divergent? Secondly, how are results on the differential growth over time complementary, convergent or divergent? Data originates from a longitudinal study on the change in learning strategies during the transition from secondary to higher education in Flanders (Belgium). 425 students provided complete data at each of the three waves of data collection. Results on the significance of average trends are convergent while the strength of the growth over time diverges across analysis techniques. Regarding the differential change, the MILG seems more able to detect variance in growth over time. Recommendations for future research on the changeability of learning strategies over time are provided. (Contains 5 tables and 1 figure.)

Whether or not learning strategies change during the course of higher education is an important topic in the Student Approaches to Learning field. However, there is a dearth of any empirical evaluations in the literature as to whether or not the instruments in this research domain measure equivalently over time. Therefore, this study details the procedure of longitudinal measurement invariance testing of self-report Likert-type scales, using the case of learning strategies. The sample consists of 245 University College students who filled out the Inventory of Learning Styles--Short Version three times. Using the WLSMV estimator to take into account the ordinal nature of the data, a series of models with progressively more stringent constraints were estimated using Mplus 6.1. The results indicate that longitudinal measurement invariance holds for all but two learning strategy scales. The implications for longitudinal analysis using scales with varying degrees of measurement invariance are discussed. (Contains 2 figures, 2 tables, and 5 notes.)

Inciting a deep approach to learning in students is difficult. The present research poses two questions: can a constructivist learning-assessment environment change students' approaches towards a more deep approach? What effect does additional feedback have on the changes in learning approaches? Two cohorts of students completed questionnaires measuring their approaches to learning in a pre-test post-test design. The constructivist learning environments in both conditions differed in the amount of feedback students received. Paired-sample t-tests indicated that students did not change their approach towards a more deep approach. Multiple regression analysis on deep approach on the post-test showed no effect for change in learning environment. This indicates that little alterations in the learning-assessment environment do not modify students' approaches to learning. (Contains 2 tables.)