Scientific Literacy: The Role of Goal-Directed Reading and Evaluation in Understanding Scientific Information

In this article, we examine the mental processes and representations that are required of laypersons when learning about science issues from texts. We begin by defining scientific literacy as the ability to understand and critically evaluate scientific content in order to achieve one's goals. We then present 3 challenges of learning from science texts: the intrinsic complexity of science phenomena, the need to coordinate multiple documents of various types, and the rhetorical structure of the texts themselves. Because scientific information focuses on models, theories, explanations, and evidence, we focus on how explanatory and argumentative texts are processed. Then we examine 2 components of executive control in reading—goal-directed guidance and evaluation of content—that readers can acquire and adopt to deal with these challenges. Finally, we discuss 3 implications that these theories and empirical findings have for interventions intended to improve laypersons’ understanding of scientific information.     

Two for the price of one?: Additionality effects of R&D subsidies: A comparison between Flanders and Germany

We empirically test whether public R&D subsidies crowd out private R&D investment in Flanders and Germany, using firm level data from the Flemish and German part of the Community Innovation Surveys (CIS III and IV). Both the non-parametric matching estimator and the conditional difference-in-differences estimator with repeated cross-sections (CDiDRCS) clearly indicate that the crowding-out hypothesis can be rejected: funded firms are significantly more R&D active than non-funded firms. In the domain of additionality effects of R&D subsidies, this paper is the first to apply the CDiDRCS method.     

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.     

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.     

Service‐Learning in Supply Chain Management: Benefits,Challenges and Best Practices

Service‐learning (SL) is a pedagogical approach in which students are assigned a course‐related project in a not‐for‐profit organization, and are tasked to apply course content to execute the project. While the benefits are multifarious, only recently have supply chain management (SCM) courses adapted this innovative teaching methodology. The present article aims to popularize this pedagogical concept by providing a detailed overview of the background, development, implementation, and success of an SL project in an undergraduate SCM course; this serves as a “how to” guide for instructors interested in implementing the approach. Compelling evidence for the value of SL is provided by data assessing the students’ learning experiences, and benefits for participating organizations are demonstrated. Caveats and challenges are noted, and ensuing best practices for SL are presented.     

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.     

Does speed-reading training work,and if so,why? Effects of speed-reading training and metacognitive training on reading speed,comprehension and eye movements

Background

Commercial speed-reading training programs are typically marketed with the promise to dramatically increase reading speed without impairing comprehension. From the perspective of reading psychology, it seems quite unlikely that speed-reading training can indeed have such effects. However, research on the effectiveness of modern speed-reading training programs on reading performance in typical readers is sparse. The present study had two goals. First, we sought to extend prior research on speed-reading by assessing the effects of a speed-reading application on reading performance in a pre-training and post-training design with a control group. Second, we aimed to identify the mechanism underlying speed-reading training programs.

Methods

We assessed reading speed, comprehension and eye movements of 30 German-speaking undergraduates (M_age = 22.77 years, SD_age = 3.41 years) before and after they received a commercial, app-based speed-reading training, a metacognitive training or no training.

Results

Results revealed higher reading speed in the speed-reading condition and metacognitive condition compared with the control condition, although not to the extent claimed in the application. Eye-movement data indicated that the increase in reading speed was due to fewer and shorter fixations in measures reflecting late but not early lexical processing. No differences in comprehension performance were observed between the three conditions.

Conclusions

We discuss our findings in support of the idea that the increase in reading speed was not caused by a change in basic characteristics of participants' reading behaviour, but rather by an increase in their awareness of their own reading process. Further research is needed to investigate whether the observed effects are maintained over time.