Who likes to engage in writing? – The role of children’s beliefs and intrinsic value regarding leisure writing

Abstract

While leisure writing may help children to acquire writing skills, it can also be considered as an inherently valuable cultural activity. This study explores how children’s beliefs may explain to what extent children are inclined to leisure writing and if there are any gender differences. Building on preliminary scale development work, we analysed data from 963 third-graders. Variables included (a) the intrinsic value attached to leisure writing (b) preceding behavioural, normative, and control beliefs related to these activities, and (c) the level of leisure writing. In a structural equation model, the preceding beliefs were applied as explanatory variables for the intrinsic value. Intrinsic value, in turn, explained a large proportion of variance in children’s leisure-writing activities. Gender differences in leisure writing were mediated by intrinsic value. Significance of intrinsic value and preceding beliefs regarding leisure-writing activities are discussed.     

Dynamische Probleml?sekompetenz

This article is about the importance and validity of dynamic problem solving (DPS) in predicting technical problem solving performances. In addition to DPS, fluid intelligence and technical knowledge were included in the study. Assessing DPS and fluid intelligence simultaneously also allowed for testing the empirical distinction between both constructs. Results are based on data of a sample of car mechatronics (n?=?129) and electronics technicians (n?=?88) and showed that DPS and fluid intelligence were empirically separable. In the first sample (electronics technicians) DPS explained technical problem solving performance best, although fluid intelligence showed incremental validity too. In the second sample (car mechatronics) fluid intelligence was weakly related to the criterion whereas DPS was not at all. When technical knowledge was added to the prediction, both DPS and fluid intelligence did not predict technical problem solving performance. However, in the sample of the electronics technicians fluid intelligence indirectly affected the criterion through technical knowledge. A discussion of the somewhat contradictory results, the different results patterns in the two samples and a theoretical explanation of the results are provided.     

A learning optimizer for a federated database management system

Anfrageoptimierer in modernen Datenbanksystemen (DBS) verwenden ein Kostenmodell, um für eine Anfrage einen effizienten Zugriffsplan aus der Menge aller m?glichen Zugriffspl?ne auszuw?hlen. Die Genauigkeit, mit der diese Kosten gesch?tzt werden, h?ngt stark davon ab, wie genau Statistiken über die Datenverteilung die ihnen zugrunde liegenden Daten modellieren. Veraltete Statistiken, oder ungültige Annahmen im statistischen Modell, führen h?ufig zur Auswahl suboptimaler Zugriffspl?ne und dadurch zu Defiziten bei der Ausführungsgeschwindigkeit von Datenbankanfragen. F?derierte Systeme müssen auf dem koordinierenden DBS Statistiken über verteilte Daten unterhalten, um effiziente Zugriffspl?ne zu entwickeln, wenn Daten aus verschiedenen Datenquellen zusammengeführt werden. Fehlerhafte Statistiken verursachen in diesem Fall schlechte Lastenverteilung sowie zus?tzlichen Kommunikationsaufwand und Netzlast. Die Synchronisation dieser zus?tzlichen Statistiken mit den Statistiken der entfernten Datenquellen ist problematisch, da Datenquellen v?llig unabh?ngig voneinander sind und ihre Statistiken eventuell nicht externalisieren oder inkompatible bzw. andere statistische Modelle verwenden als das koordinierende DBS. Im folgenden zeigen wir eine Erweiterung der Feedback-Schleife von DB2s lernendem Optimierer (LEO) auf f?derierte Architekturen, die es LEO erm?glicht, automatisch Statistiken über Daten auf entfernten Datenquellen zu lernen und zu verwalten. Wir diskutieren mehrere M?glichkeiten, Feedback für f?derierte Anfragen zu erhalten und stellen einen L?sung vor, die lokales Feedback verwendet, und einen Stichprobenprozess (statistical sampling) zu steuren, der die ben?tigten entfernten Daten basierend auf dem Feedback effizient ermittelt. Mittels einer detaillierten Leistungsanalyse der vorgestellten M?glichkeiten im Rahmen einer Fallstudie belegen wir, dass der potenzielle Geschwindigkeitszuwachs für Datenbankanfragen sehr hoch ist, w?hrend die Zusatzbelastung durch LEO in moderaten Grenzen liegt.     

Culturally responsive student assessment and quality work in higher education

Educational Assessment, Evaluation and Accountability -     

The impact of educational mismatch on firm productivity: Evidence from linked panel data

We provide first evidence regarding the direct impact of educational mismatch on firm productivity. To do so, we rely on representative linked employer–employee panel data for Belgium covering the period 1999–2006. Controlling for simultaneity issues, time-invariant unobserved workplace characteristics, cohort effects and dynamics in the adjustment process of productivity, we find that: (i) a higher level of required education exerts a significantly positive influence on firm productivity, (ii) additional years of over-education (both among young and older workers) are beneficial for firm productivity, and (iii) additional years of under-education (among young workers) are detrimental for firm productivity.     

Deaf persons and computer use

Deaf person's computer use was studied (N = 227). Respondents self-administered a survey in their preferred language (voice, American Sign Language, captions, or printed English). A small nonparticipant sample was also recruited. Demographics were consistent with those in other studies of deaf people: 63% of respondents reported computer use, mostly at home; 50% of nonparticipants reported computer use. Subjects with hearing loss due to meningitis were less likely to use computers (p = .0004). Computer use was associated with English usage at home (p = .008), with hearing persons (p = .002), and with physicians and nurses (p = .00001). It was also associated with the use of Signed English as a child to communicate (p = .02), teacher use of Signed English (p = .04), and teacher use of ASL (p = .03). Two thirds of respondents reported using computers, though nonresponder data suggested less use among all deaf persons. Computer use was associated with English use and inversely associated with hearing loss due to meningitis.     

Trust in results

Educational Assessment, Evaluation and Accountability -