Towards a typology of intermediaries in sustainability transitions: A systematic review and a research agenda

Intermediary actors have been proposed as key catalysts that speed up change towards more sustainable socio-technical systems. Research on this topic has gradually gained traction since 2009, but has been complicated by the inconsistency regarding what intermediaries are in the context of such transitions and which activities they focus on, or should focus on. We briefly elaborate on the conceptual foundations of the studies of intermediaries in transitions, and how intermediaries have been connected to different transition theories. This shows the divergence – and sometimes a lack – of conceptual foundations in this research. In terms of transitions theories, many studies connect to the multi-level perspective and strategic niche management, while intermediaries in technological innovation systems and transition management have been much less explored. We aim to bring more clarity to the topic of intermediaries in transitions by providing a definition of transition intermediaries and a typology of five intermediary types that is sensitive to the emergence, neutrality and goals of intermediary actors as well as their context and level of action. Some intermediaries are specifically set up to facilitate transitions, while others grow into the role during the process of socio-technical change. Based on the study, as an important consideration for future innovation governance, we argue that systemic and niche intermediaries are the most crucial forms of intermediary actors in transitions, but they need to be complemented by a full ecology of intermediaries, including regime-based transition intermediaries, process intermediaries and user intermediaries.     

Novice runners show greater changes in kinematics with fatigue compared with competitive runners

Fatigue, developed over the course of a run, may cause changes in running kinematics. Training status may influence the effect of fatigue on running kinematics, since well trained, competitive runners are used to running until exhaustion, whereas novice runners are not. This study aimed to determine changes in running kinematics during an exhaustive run in both novice (NOVICE) and competitive (COMP) long-distance runners. About 15 NOVICE and 15 COMP runners performed a treadmill run, until voluntary exhaustion at 3,200 m time trial pace. Joint angles and global trunk and pelvis angles were recorded at the beginning and at the end of the run. In both groups, peak pelvic anterior tilt, pelvic rotation range of motion (both during stance phase) and ankle plantar flexion during swing phase increased after the exhaustive run. There was a significant interaction effect between group and exhaustion for peak forward trunk lean, which increased only in the NOVICE group, and for hip abduction during mid-swing, which increased in NOVICE and decreased in COMP runners. In conclusion, NOVICE runners showed larger kinematic adjustments when exhausted than COMP runners. This may affect their running performance and should be taken into account when assessing a runner’s injury risk.     

Team teaching during field experiences in teacher education: Exploring the assistant teaching model

Teacher education institutes are in search of alternative models of field experiences, inspired by collaborative learning. This study examines team teaching. We focus upon the assistant teaching model, in which the student teacher assists the mentor during teaching. We investigate which assisting activities student teachers prefer, how student teachers and mentors experience these activities and the conditions for implementation they foresee. Data were gathered using activity reports, reflective documents and questionnaires. Results show that the preferred assisting activities mainly consist of guiding pupils during individual and team work and of teaching a part of a lesson in front of an entire class group. The assistant teaching model has both advantages (professional growth, …) and disadvantages (feelings of unfamiliarity, …) for the student teacher. Advantages and disadvantages have also been reported for mentors (support, high workload, …) and pupils (support, confusion, …). Finally, several conditions for successful implementation of the assistant teacher model are discussed.     

Supporting hypothesis generation by learners exploring an interactive computer simulation

Computer simulations provide environments enabling exploratory learning. Research has shown that these types of learning environments are promising applications of computer assisted learning but also that they introduce complex learning settings, involving a large number of learning processes. This article reports on an instrument for supporting one of these learning processes: stating hypotheses.The resulting instrument, an hypothesis scratchpad, was designed on the basis of a conceptual representation of the simulation model and tested in an experimental study. In this study three versions of the scratchpad, varying in structure, were compared. It was found that support offered for identifying variables, in the form of a selection list, is relatively successful: students who used this list were better in differentiating different types of variables. For identifying relations, a selection list of relations offered to the students proved unhelpful in finding accurate relations: students using this list stated their hypotheses mainly at a very global level.The research reported was conducted in the project SIMULATE. SIMULATE was part of SAFE, a R&D project partially funded by the CEC under contract D1014 within the Exploratory Action of the DELTA programme. The work of SIMULATE is continued in the DELTA main phase project SMISLE.     

Supporting Communication in a Collaborative Discovery Learning Environment: the Effect of Instruction

We present a study on the effect of instruction on collaboration in a collaborative discovery learning environment. The instruction we used, called RIDE, is built upon four principles identified in the literature on collaborative processes: Respect, Intelligent collaboration, Deciding together, and Encouraging. In an experimental study, a group of learners (ages 15–17) receiving this instruction was compared to a control group. The learners worked in dyads on separate computers in a shared discovery learning environment in the physics domain of collisions, communicating through a chat channel. Qualitative and quantitative analyses of the logged actions in the learning environment and the chat protocols showed that the RIDE instruction can lead to more constructive communication, and improved discovery learning activities, as expected, although no direct effect on discovery learning results was found. This study shows the benefits of providing instruction on effective communication and the learning process in a collaborative discovery learning situation.     

Motivation and performance within a collaborative computer-based modeling task: Relations between students’ achievement goal orientation,self-efficacy,cognitive processing,and achievement

Purpose of the present study was to test a conceptual model of relations among achievement goal orientation, self-efficacy, cognitive processing, and achievement of students working within a particular collaborative task context. The task involved a collaborative computer-based modeling task. In order to test the model, group measures of mastery-approach goal orientation, performance-avoidance goal orientation, self-efficacy, and achievement were employed. Students’ cognitive processing was assessed using an online log-file measure. As predicted, mastery-approach goal orientation had a significant positive effect on achievement, which was mediated through students’ use of deep processes. No significant relationships could be found between performance-avoidance goal orientation and surface processing and between surface processing and achievement. Results are discussed with respect to general theoretical implications and lead to suggestions for the design of appropriate scaffolds.     

When Communication Meets Computation: Opportunities,Challenges, and Pitfalls in Computational Communication Science

ABSTRACT

The recent increase in digitally available data, tools, and processing power is fostering the use of computational methods to the study of communication. This special issue discusses the validity of using big data in communication science and showcases a number of new methods and applications in the fields of text and network analysis. Computational methods have the potential to greatly enhance the scientific study of communication because they allow us to move towards collaborative large-N studies of actual behavior in its social context. This requires us to develop new skills and infrastructure and meet the challenges of open, valid, reliable, and ethical “big data” research. By bringing together a number of leading scholars in one issue, we contribute to the increasing development and adaptation of computational methods in communication science.     

Teacher educators developing professional roles: frictions between current and optimal practices

This article reports on a study of the professional learning of Flemish teacher educators. In the first part, an exemplary survey was conducted in order to compile an inventory of the existing types of education initiatives for teacher educators in Flanders. An electronic survey was then conducted in order to identify the professional needs of teacher educators in Flanders. The third part of the study focused on how the professional learning of teacher educators can evolve throughout their careers. This topic was examined by organising focus groups with teacher educators at two international conferences for teacher educators. Flemish teacher educators devote considerable attention to professional learning, and they are able to meet their needs through the broad range of existing courses and programmes offered within the educational system. Nevertheless, there is still room for improvement in the alignment of professional learning with the needs and career stages of teacher educators.     

A “picture” of children's potential for learning: Looking into strategy changes and working memory by dynamic testing

We examined whether children would show different change-patterns in their strategy use when administered a number of series completion tasks that were presented within a dynamic testing format utilizing a graduated prompts approach. The role of working memory was also examined. An electronic console using tangible objects with sensors enabled the detailed recording of children's responses and solution times. We hypothesized that children who received training (i.e. who were involved in dynamic testing) would progress to more advanced strategy use than non-trained children, and that this would be evident for both verbal and behavioral measures of strategy use. We also sought to examine whether more advanced strategies would be employed by children with higher levels of WM-capacity. It was found that dynamically tested children shifted their verbal strategic behavior to a more advanced level. When examining the behavioral measure, it was found that some children showed the same progression but others who had performed at an advanced level in the pre-test shifted their strategy, unexpectedly, to a heuristic form. Working memory capacity did not appear to play an important role in differentiating between trained groups. Dynamic testing, using electronic console and tangibles with sensors, enabled us to identify strengths and weaknesses in children's learning.