Knowledge structures for integrating working and learning: A reflection on a decade of learning technology research for workplace learning

Designing intelligent services for workplace learning presents a special challenge for researchers and developers of learning technology. One of the reasons is that considering learning as a situated and social practice is nowhere so important than in the case where learning is tightly integrated with workplace practices. The current paper analyses the experience of more than 10 years of research intending to offer intelligent services through capturing and leveraging knowledge structures in workplace learning. The reflection looks at results of several European research projects that have promoted this view. From this analysis, I arrive at a dichotomy of guidance versus emergence that describes how the technologies foregrounded one or the other, and what the effects of these design choices have been. I derive conclusions for dealing with this design trade-off in terms of conceptual, technological and empirical research.     

Bottom-up estimation of industrial and public R&D investment by technology in support of policy-making: The case of selected low-carbon energy technologies

This paper discusses a bottom-up approach to estimate the level of R&D investment by technology in areas where data are scarce. It develops a four-step methodology for the estimation of corporate R&D investments at technology level. This approach can overcome gaps in existing data by combining publicly available information in a novel way, even though it introduces some uncertainty. This is illustrated for a set of low-carbon energy technologies that were identified as key for meeting Europe's long-term energy and climate objectives by the European Strategic Energy Technology Plan. The paper finds that the aggregated R&D investments dedicated to these technologies amounted to €3.3 billion in the EU in 2007, including public funding from European Union Member States and at EU-level, and industrial research activities from companies with headquarters registered in the EU. The results allow conclusions on the European energy research policy to be drawn, such as the dominance of industrial funds, and have provided significant input to the European policy making in this field. The paper ends with suggestions on how to further enhance the accuracy of the approach and how to widen its application to other sectors.     

Tactile training facilitates infants' ability to reach to targets on the body

This longitudinal study investigated the effect of experience with tactile stimulation on infants' ability to reach to targets on the body, an important adaptive skill. Infants were provided weekly tactile stimulation on eight body locations from 4 to 8 months of age (N = 11), comparing their ability to reach to the body to infants in a control group who did not receive stimulation (N = 10). Infants who received stimulation were more likely to successfully reach targets on the body than controls by 7 months of age. These findings indicate that tactile stimulation facilitates the development of reaching to the body by allowing infants to explore the sensorimotor correlations emerging from the stimulation.     

Social pedagogy in schools: student teacher attitudes in England and Norway

This study explored the views of student teachers in England and Norway regarding the extent to which they felt the school should take the lead role (in comparison to the roles played by parents and other professional agencies) in addressing the needs of pupils identified by the school as experiencing a problem. A questionnaire comprising 30 problem areas was developed and distributed to student teachers at two universities in England and at two universities in Norway. A total of 542 student teachers participated in the study. The findings indicated that the ratings by student teachers in both countries of these problem areas fell broadly into four main groupings (in terms of the strength of feeling that the school should take the lead role): these concerned poor basic core attainment, disaffection, anti-social behaviour, and unhealthy lifestyles, respectively, except for one very important caveat: concerns regarding bullying received a high rating and were located in the first grouping. These findings are interpreted in the context of whether schools might be ready to adopt a social pedagogical approach to offering targeted support to pupils experiencing such problems and the implications this may have for inclusive education and initial teacher education.     

Learning to Match Auditory and Visual Speech Cues: Social Influences on Acquisition of Phonological Categories

Infants' language exposure largely involves face‐to‐face interactions providing acoustic and visual speech cues but also social cues that might foster language learning. Yet, both audiovisual speech information and social information have so far received little attention in research on infants' early language development. Using a preferential looking paradigm, 44 German 6‐month olds' ability to detect mismatches between concurrently presented auditory and visual native vowels was tested. Outcomes were related to mothers' speech style and interactive behavior assessed during free play with their infant, and to infant‐specific factors assessed through a questionnaire. Results show that mothers' and infants' social behavior modulated infants' preference for matching audiovisual speech. Moreover, infants' audiovisual speech perception correlated with later vocabulary size, suggesting a lasting effect on language development.     

Methodological Challenges of Digital Divide Measurements

The term “digital divide” has been used for almost a decade and typically relates to sociodemographic differences in the use of information and communication technology. However, the corresponding measurement is still relatively imprecise. Very often it is simply reduced to comparisons of Internet penetration rates. This article extends the measurements above the usual bivariate comparisons. Within this context, three essential approaches are presented and critically evaluated. First, loglinear modeling is used to address the interactions among the factors affecting the digital divide. Second, compound measures (i.e., the Digital Divide Index) that integrate a number of variables into a single indicator are discussed. Third, time-distance methodology is applied to analyze changes in the digital divide. The article argues that these approaches often yield entirely different conclusions compared to simple bivariate analysis. The examples are presented as a general warning against an oversimplified methodological approach to digital divide studies.     

Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance

The Center for Science and Technology Studies at Leiden University advocates the use of specific normalizations for assessing research performance with reference to a world average. The Journal Citation Score (JCS) and Field Citation Score (FCS) are averaged for the research group or individual researcher under study, and then these values are used as denominators of the (mean) Citations per publication (CPP). Thus, this normalization is based on dividing two averages. This procedure only generates a legitimate indicator in the case of underlying normal distributions. Given the skewed distributions under study, one should average the observed versus expected values which are to be divided first for each publication. We show the effects of the Leiden normalization for a recent evaluation where we happened to have access to the underlying data.     

Accessibility and Product Ecosystems

Products, including assistive and accessible technologies, do not exist in isolation. They are all part of rich product ecosystems; they inhabit specific niches of economics, functionality, and technology, and they interact with other products. The concept of product ecosystem goes beyond technological interoperability. For accessibility to advance, we must understand more about the interactions among products. This article sketches an explanatory approach that may be useful in understanding how accessible technologies thrive, survive, or fail within their ecosystems.     

Students' mental load,stress, and performance when working with symbolic or symbolic–textual molecular representations

In science education, representations are necessary inter alia for the understanding of relationships between structures and systems. However, several studies have identified difficulties of students when working with representations. In the present study, we investigated students' responses (regarding their preference, test performance, mental load (ML), and stress) toward two kinds of representations: symbolic representations, which only use abstract symbols, versus combined symbolic–textual representations, which additionally comprise textual elements. Therefore, students were randomly assigned to one of two treatment groups: one group worked on test tasks accompanied by symbolic representations, and the others worked on the same tasks, but with symbolic–textual representations. Thereafter, the students' test performance and ML were assessed. The level of perceived stress and the salivary cortisol concentration were measured before and after the test and again a few minutes later. Additionally, heart rate variability parameters were assessed continuously. We found a strong preference of the test version with symbolic representations. Additionally, the students showed better test performance and lower ML when they worked with symbolic representations. However, the level of perceived stress was comparable between both groups and there was no strong physiological stress response: The cortisol concentration decreased in both groups and the heart rate was relatively similar. However, during the second half of the test, we observed a significantly higher ratio between low and high heartbeat frequencies in the group with symbolic–textual representations and we found an indirect influence of the kind of representation on test performance through its effect on ML. The poorer test performance and higher ML in connection with symbolic–textual representations confirm previous studies, which found that symbolic–textual representations pose major problems for students. Thus, teachers should enable students to understand symbolic–textual representations and consider carefully whether they can use symbolic representations instead, especially when they teach complex content.