Effects of representational guidance during computer-supported collaborative learning

This research investigates the role of representational guidance by comparing the effects of two different representational tools. We used a design with two different groups defined by the type of argumentative diagram students co-constructed while working in a computer-supported collaborative learning (CSCL) environment. The Graphical Debate-tool offered different representational guidance than the Textual Debate-tool. The results show that groups that worked with the Graphical Debate-tool constructed representations of higher quality and wrote essays that were better in terms of grounds quality. Furthermore, working with the Graphical Debate-tool was found to have a positive effect on students’ learning as measured by a knowledge post-test. In contrast to our expectations however, there was little difference between the two conditions regarding the online collaboration process. It can be concluded that representational guidance has an impact on group and individual performance and should therefore be taken into account during instructional design.     

A Theoretical Analysis of How Segmentation of Dynamic Visualizations Optimizes Students' Learning

This article reviews studies investigating segmentation of dynamic visualizations (i.e., showing dynamic visualizations in pieces with pauses in between) and discusses two not mutually exclusive processes that might underlie the effectiveness of segmentation. First, cognitive activities needed for dealing with the transience of dynamic visualizations impose extraneous cognitive load, which may hinder learning. Segmentation may reduce the negative effect of this load by dividing animations into smaller units of information and providing pauses between segments that give students time for the necessary cognitive activities after each of those units of information. Second, event segmentation theory states that people mentally segment dynamic visualizations during perception (i.e., divide the information shown in pieces). Segmentation of dynamic visualisation could cue relevant segments to students, which may aid them in perceiving the structure underlying the process or procedure shown.     

The role of peer review in Norwegian quality assurance: potential consequences for excellence and diversity

The article analyses the role of peer review within broader external quality assurance schemes. Based on an analytical framework emphasising that modern quality assurance schemes are designed as a balancing act between standardised guidelines and professional judgement, the article uses data from a recent evaluation of NOKUT, the Norwegian Quality Assurance Agency, to investigate whether and how the peer review process has maintained its central role in quality assurance, not least with respect to promoting excellence and diversity. The findings indicate that what is presented as judgements based on peer expertise, turn out to be a rather technical process in which pre-defined rigid criteria and standards are imperative. In the conclusion, the role of peer review is discussed in relation to developments in European higher education.     

Diverse student voice approaches across Europe

The Student voice concept encompasses the right for learners to express their opinions, access people who influence decisions and actively participate in educational decision-making processes. In this article, three features of a European Erasmus Plus project called “BRIDGE” are presented in a sequence ranging from theoretical considerations for school improvement to an analysis of school contexts and settings, followed by a presentation of results from working with one of the project’s student voice tools. Central in each example is the notion that working in partnership with students will enable students to become more self-directed learners and active citizens.     

First adoption of consumer innovations: Exploring market failure and alleviating factors

Consumers innovate usually for non-commercial motives. They generally lack incentives to diffuse, and this is expected to hamper first adoption – even if consumer innovations are valuable to many other people. We confirm this market failure with survey data of 164 German consumer innovators. First adoption by others is unrelated with general use value, unless the innovator is highly willing to commercialize. Next, as classical diffusion theory does not explain when consumer innovations become available to others, we propose an individual-object-process (I-O-P) framework to study factors alleviating the market failure. The viability of the framework is explored by studying the moderating role of entrepreneurial experience (I), product newness (O) and community engagement during the innovation process (P). First adoption of generally valuable consumer innovations is enhanced when a community was involved. We also find tentative evidence for a moderating role of entrepreneurial experience and product newness.     

Bias-Adjusted Three-Step Latent Markov Modeling With Covariates

Latent Markov models with covariates can be estimated via 1-step maximum likelihood. However, this 1-step approach has various disadvantages, such as that the inclusion of covariates in the model might alter the formation of the latent states and that parameter estimation could become infeasible with large numbers of time points, responses, and covariates. This is why researchers typically prefer performing the analysis in a stepwise manner; that is, they first construct the measurement model, then obtain the latent state classifications, and subsequently study the relationship between covariates and latent state memberships. However, such a stepwise approach yields downward-biased estimates of the covariate effects on initial state and transition probabilities. This article, shows how to overcome this problem using a generalization of the bias-corrected 3-step estimation method proposed for latent class analysis (Asparouhov & Muthén, 2014; Bolck, Croon, & Hagenaars, 2004; Vermunt, 2010). We give a formal derivation of the generalization to latent Markov models and discuss how it can be used with many time points by incorporating it into a Baum–Welch type of expectation-maximization algorithm. We evaluate the method through a simulation study and illustrate it using an application on household financial portfolio change. Our study shows that the proposed correction method yields unbiased parameter estimates and accurate standard errors, except for situations with very poorly separated classes and a small sample.     

Improving workplace-based assessment and feedback by an E-portfolio enhanced with learning analytics

Electronic portfolios (E-portfolios) are crucial means for workplace-based assessment and feedback. Although E-portfolios provide a useful approach to view each learner’s progress, so far options for personalized feedback and potential data about a learner’s performances at the workplace often remain unexploited. This paper advocates that E-portfolios enhanced with learning analytics, might increase the quality and efficiency of workplace-based feedback and assessment in professional education. Based on a 5-phased iterative design approach, an existing E-portfolio environment was enhanced with learning analytics in professional education. First, information about crucial professional activities for professional domains and suited assessment instruments were collected (phase 1). Thereafter probabilistic student models were defined (phase 2). Next, personalized feedback and visualization of the personal development over time were developed (phase 3). Then the prototype of the E-portfolio—including the student models and feedback and visualization modules—were implemented in professional training-programs (phase 4). Last, evaluation cycles took place and 121 students and 30 supervisors from five institutes for professional education evaluated the perceived usefulness of the design (phase 5). It was concluded that E-portfolios with learning analytics were perceived to assist the development of students’ professional competencies and that the design is only successful when developed and implemented through the eyes of the users. Feedback and assessment methods based upon learning analytics can stimulate learning at the workplace in the long run. Practical, technological and ethical challenges are discussed.