In the current era where lifelong learning is brought to the fore, higher education can no longer be regarded as an isolated trajectory within one's educational career as many students face substantial challenges in crafting their professional future. More specifically, the transition from school to higher education and continuing to the labour market are often a difficult hurdles for many students. Almost half of students do not succeed in the first year and often withdraw from education, students are faced with a variety of contexts and may choose to study in a different (international) context, and they are then confronted with structural barriers in finding a (high-quality) job, as evidenced by increasing levels of youth unemployment and underemployment. Higher Education Transitions aims to deepen our understanding of the transitions taking place when students enter, progress and leave higher education to enter the labour market. Drawing on an international team of contributors, this guide includes three conceptual and fifteen empirical studies which include a range of quantitative, qualitative, cross-sectional and longitudinal studies. Divided into three sections to reflect each important transition phase, topics include: transitions from secondary to higher education; transitions within higher education; transitions from higher education to the labour market. By considering transitions across different phases as a broad and interrelated process, this guide will be essential reading for higher education researchers, policy stakeholders and all those interested in the transitions into higher education and the labour market.

In the current era where lifelong learning is brought to the fore, higher education can no longer be regarded as an isolated trajectory within one's educational career as many students face substantial challenges in crafting their professional future. More specifically, the transition from school to higher education and continuing to the labour market are often a difficult hurdles for many students. Almost half of students do not succeed in the first year and often withdraw from education, students are faced with a variety of contexts and may choose to study in a different (international) context, and they are then confronted with structural barriers in finding a (high-quality) job, as evidenced by increasing levels of youth unemployment and underemployment. Higher Education Transitions aims to deepen our understanding of the transitions taking place when students enter, progress and leave higher education to enter the labour market. Drawing on an international team of contributors, this guide includes three conceptual and fifteen empirical studies which include a range of quantitative, qualitative, cross-sectional and longitudinal studies. Divided into three sections to reflect each important transition phase, topics include: transitions from secondary to higher education; transitions within higher education; transitions from higher education to the labour market. By considering transitions across different phases as a broad and interrelated process, this guide will be essential reading for higher education researchers, policy stakeholders and all those interested in the transitions into higher education and the labour market.

Learning Patterns in Higher Education brings together a cutting edge international team of contributors to critically review our current understanding of how students and adults learn, how differences and changes in the way students learn can be measured in a valid and reliable way, and how the quality of student learning may be enhanced. There is substantial evidence that students in higher education have a characteristic way of learning, sometimes called their learning orientation (Biggs 1988), learning style (Evans et al. 2010) or learning pattern (Vermunt and Vermetten 2004). However, recent research in the field of student learning has resulted in multi-faceted and sometimes contradictory results which may reflect conceptual differences and differences in measurement of student learning in each of the studies. This book deals with the need for further clarification of how students learn in higher education in the 21st century and to what extent the measurements often used in learning pattern studies are still up to date or can be advanced with present methodological and statistical insights to capture the most important differences and changes in student learning. The contributions in the book are organized in two parts: a first conceptual and psychological part in which the dimensions of student learning in the 21st century are discussed and a second empirical part in which questions related to how students' learning can be measured and how it develops are considered. Areas covered include: Cultural influences on learning patterns Predicting learning outcomes Student centred learning environments and self-directed learning Mathematics learning This indispensable book covers multiple conceptual perspectives on how learning patterns can be described and effects and developments can be measured, and will not only be helpful for 'learning researchers' as such but also for educational researchers from the broad domain of educational psychology, motivation psychology and instructional sciences, who are interested in student motivation, self-regulated learning, effectiveness of innovative learning environments, as well as assessment and evaluation of student characteristics and learning process variables.

This volume brings together both political and educational scientists. While educational research literature has so far not systematically addressed the tool of simulations of decision-making, political scientists have hardly used insights from research on assessment or on motivation and interest of students. Almost all political science publications on simulations merely discuss how to implement the tool in class and fall short of providing evidence of the effects on student outcomes such as increased interest and performance. Combining the two disciplines is mutually enriching. Political science benefits from state of the art educational science measuring and testing of the claims made by the proponents of simulations, while educational sciences adds the systematic analysis of simulations of decision-making to their list of empirical objects, which also adds insights to the theories on the affective component of student learning. It is the explicit aim of the volume to address how simulating decision-making environments fosters learning. Implications for research and practice regarding student learning are addressed in all chapters.

Learning Patterns in Higher Education brings together a cutting edge international team of contributors to critically review our current understanding of how students and adults learn, how differences and changes in the way students learn can be measured in a valid and reliable way, and how the quality of student learning may be enhanced. There is substantial evidence that students in higher education have a characteristic way of learning, sometimes called their learning orientation (Biggs 1988), learning style (Evans et al. 2010) or learning pattern (Vermunt and Vermetten 2004). However, recent research in the field of student learning has resulted in multi-faceted and sometimes contradictory results which may reflect conceptual differences and differences in measurement of student learning in each of the studies. This book deals with the need for further clarification of how students learn in higher education in the 21st century and to what extent the measurements often used in learning pattern studies are still up to date or can be advanced with present methodological and statistical insights to capture the most important differences and changes in student learning. The contributions in the book are organized in two parts: a first conceptual and psychological part in which the dimensions of student learning in the 21st century are discussed and a second empirical part in which questions related to how students' learning can be measured and how it develops are considered. Areas covered include: Cultural influences on learning patterns Predicting learning outcomes Student centred learning environments and self-directed learning Mathematics learning This indispensable book covers multiple conceptual perspectives on how learning patterns can be described and effects and developments can be measured, and will not only be helpful for 'learning researchers' as such but also for educational researchers from the broad domain of educational psychology, motivation psychology and instructional sciences, who are interested in student motivation, self-regulated learning, effectiveness of innovative learning environments, as well as assessment and evaluation of student characteristics and learning process variables.

This volume brings together both political and educational scientists. While educational research literature has so far not systematically addressed the tool of simulations of decision-making, political scientists have hardly used insights from research on assessment or on motivation and interest of students. Almost all political science publications on simulations merely discuss how to implement the tool in class and fall short of providing evidence of the effects on student outcomes such as increased interest and performance. Combining the two disciplines is mutually enriching. Political science benefits from state of the art educational science measuring and testing of the claims made by the proponents of simulations, while educational sciences adds the systematic analysis of simulations of decision-making to their list of empirical objects, which also adds insights to the theories on the affective component of student learning. It is the explicit aim of the volume to address how simulating decision-making environments fosters learning. Implications for research and practice regarding student learning are addressed in all chapters.