Differences between students’ and teachers’ perceptions of education: profiles to describe congruence and friction

Teachers and students have their own perceptions of education. Congruent perceptions contribute to optimal teaching–learning processes and help achieving best learning outcomes. This study investigated patterns in differences between students’ and teachers’ perceptions of their learning environment. Student profiles were identified taking into account the degree of congruence/friction with teachers’ perceptions. Teacher profiles were identified based on their differences in perceptions to students. Profiles were validated with regard to learning-related student characteristics and approaches to teaching. Tenth graders (N = 994) of four secondary schools filled out the Inventory of Perceived Study Environment-Extended (IPSEE) and the Inventory of Learning Styles. Their teachers (N = 136) filled out the teacher version of the IPSEE and the Approaches to Teaching Inventory. Latent class analyses were conducted to define profiles with respect to the magnitude of differences in perceptions. Results showed three student profiles: Closest match profile (30 %), intermediate profile (59 %), and distal profile (11 %). While closest match students had desirable learning-related characteristics, others did not and are at risk for destructive friction. Two teacher profiles described idealistic teachers (70 %) and adaptive teachers (30 %), which related to approaches to teaching. Subgroups of students and teachers provide a comprehensive picture of those who are at risk because of too large differences in perceptions. This study stresses that differences in perceptions deserve detailed attention for optimising learning environments. Involving both students and teachers in the instructional design process could be a way to better account for perceptions of both stakeholders.     

Latent Class Trees with the Three-Step Approach

Latent class (LC) analysis is widely used in the social and behavioral sciences to find meaningful clusters based on a set of categorical variables. To deal with the common problem that a standard LC analysis may yield a large number classes and thus a solution that is difficult to interpret, recently an alternative approach has been proposed, called Latent Class Tree (LCT) analysis. It involves starting with a solution with a small number of “basic” classes, which may subsequently be split into subclasses at the next stages of an analysis. However, in most LC analysis applications, we not only wish to identify the relevant classes, but also want to see how they relate to external variables (covariates or distal outcomes). For this purpose, researchers nowadays prefer using the bias-adjusted three-step method. Here, we show how this bias-adjusted three-step procedure can be applied in the context of LCT modeling. More specifically, an R-package is presented that performs a three-step LCT analysis: it builds a LCT and allows checking how splits are related to the relevant external variables. The new tool is illustrated using a cross-sectional application with multiple indicators on social capital and demographics as external variables and with a longitudinal application with a mood variable measured multiple times during the day and personality traits as external variables.     

A model for optimizing step size of learning tasks in competency-based multimedia practicals

Learners are often overwhelmed by the complexity of realistic learning tasks, but reducing this complexity through traditional Instructional Design (ID) methods jeopardizes the authenticity of the learning experience. To solve this apparent paradox, a two-phase ID model is presented. Phase 1 consists of cognitive task analysis, where a systematic approach to problem solving (SAP) is identified in conjunction with skill decomposition and determination of task complexity. In the subsequent design phase, inductive micro-level sequencing based on the four-component ID model (van Merriënboer, 1997) is applied where worked-out examples and problems accompanied by process worksheets assure the necessary variability of practice. Step size in a multiple-step whole-task approach—needed for the process worksheets—is determined on the basis of estimated part-task complexity. A developmental study of the model is illustrated with examples from the domain of law.     

The perception of participation in executive governance structures in Dutch universities

In 1997 a new governance act, based on the principles of New Public Management (NPM) was introduced at Dutch universities. The aims were to realise integrated management, to strengthen the position of executives at the central (executive board) and faculty (dean) levels, to introduce a Supervisory Board at the institution’s central level, and to increase the leeway for universities to design its own governance structure. This article reports on a large-scale evaluation of the governance act and focuses on student and staff participation in decision-making and on the actual appraisal of different actors within the universities (leaders, managers, staff, students) of the governance structure of their university. The empirical data reveal a mixed picture regarding the appreciation of the new governance structure, but overall—in contrast with many critical reviews of NPM in higher education—there seems to be considerable endorsement for the present situation.     

New Study Programs and Specializations: The Effect of Governmental Funding and Paradigmatic Development

Studies on the emergence of scientific fields and disciplines produce a number of factors influencing these processes. The present study investigates whether these factors are also relevant in the teaching domain: the emergence of new study programs and specializations within programs. The classification of internal and external factors is applied to such processes of programmatic differentiation. Drawing on social exchange and resource dependency theory, the effects of the governmental funding mechanism of educational provisions (an external factor) and the level of paradigmatic development (an internal factor) are analyzed, using a large data set on processes of differentiation in the Dutch university sector between 1974 and 1993. The two factors proved to be relevant in explaining the emergence of new programs and specializations. In the final section some anomalies and suggestions for further research are discussed.     

Parental mediation of children’s videogame playing: a comparison of the reports by parents and children

Through an Internet survey of 536 parent–child dyads, the authors researched which mediation strategies parents used to regulate videogaming by their children (8–18 years). Factor analyses revealed that both parents and children distinguished three types of parental mediation: (1) ‘restrictive mediation’, (2) ‘active mediation’, and (3) ‘co‐playing’. These strategies are comparable with mediation types that were established in research about television. Comparing the parents’ and children’s reports it was found that both groups had highly congruent views about the application of mediation. Parental mediation of videogaming was most strongly predicted by the child’s age and the parents’s game behavior. Furthermore, parents applied more restrictive and active mediation when they feared negative behavioral effects and more often co‐played with their children when they expected positive social‐emotional effects of gaming.     

How Expert Designers Design

Two studies were carried out with expert educational designers at Arthur Andersen and the Open University of the Netherlands to determine the priorities they employed when designing competence‐based learning environments. Designers in a university context and in a business context agree almost completely on what principles are important, the most important being that one should start a design enterprise from the needs of the learners, instead of the content structure of the learning do main. The main difference between the two groups is that university designers find it extremely important to consider alternative solutions during the whole design process; something that is considerably less important by business designers. University designers also tend to focus on the project plan and the desired characteristics of the instructional blueprint whereas business designers were much more client‐oriented and stressed the importance of “buying in” the client early in the process.