A mobile game as a support tool for children with severe difficulties in reading and spelling

We used a randomized controlled trial to investigate if a mobile game, GraphoLearn (GL), could effectively support the learning of first graders (N = 70), who have severe difficulties in reading and spelling. We studied the effects of two versions of the game: GL Reading, which focused on training letter-sound correspondence and word reading; and GL Spelling, which included additional training in phonological skills and spelling. During the spring of first grade, the children trained with tablet computers which they could carry with them during the six-week intervention. The average exposure time to training was 5 hr 44 min. The results revealed no differences in the development of reading or spelling skills between GL players and the control group. However, pre-training self-efficacy moderated the effect among GL Reading players: children with high self-efficacy developed more than the control group in word reading fluency, whereas children with low self-efficacy developed less than the control group in spelling.Peer reviewe

Reading and emotional-behavioural development in Finnish children : a longitudinal study of associations

Poor reading has been linked to negative outcomes on a wide range of emotional-behavioural dimensions in children. However, little is known about the time course of these associations. In this study we analyse data from a sample of Finnish children (N = 199; 106 boys) which included measures of reading fluency in grade 1 (age 7 or 8), and emotional (anxiety, depression, and somatization) and behavioural (adaptability, aggression, attention, atypicality, hyperactivity, social skills, and withdrawal) development at ages 4, 5, 6 (pre-school) and 9 (school-aged). In a series of stepwise regression models that controlled for non-verbal IQ and family risk for dyslexia, we tested if pre-school emotional-behavioural measures were associated with school-aged reading fluency, and whether school-aged reading fluency was associated with later emotional-behavioural development. We also tested if these associations were moderated by reported gender. Consistent with previous longitudinal studies, we found that poorer attention before school was associated with poorer reading in the early school years which in turn was associated with higher levels of anxiety and inattention in children in middle school. None of these associations were moderated by gender

Long-term effects of the home literacy environment on reading development: Familial risk for dyslexia as a moderator

This study aimed to gain better understanding of the associations between literacy activities at home and long-term language and literacy development. We extended the home literacy environment (HLE) model of Senechal and LeFevre (Child Development [2002], Vol. 73, pp. 445-460) by including repeated assessments of shared reading, oral language, and reading comprehension development, including examination of familial risk for dyslexia as a moderator, and following development over time from ages 2 to 15 years. Of the 198 Finnish participants, 106 have familial risk for dyslexia due to parental dyslexia. Our path models include development in vocabulary (2-5.5 years), emerging literacy (5.5 years), reading fluency (8 and 9 years), and reading comprehension (8, 9, and 15 years) as well as shared book reading with parents (2, 4, 5, 8, and 9 years), teaching literacy at home (4.5 years), and reading motivation (8-9 years). The results supported the HLE model in that teaching literacy at home predicted stronger emerging literacy skills, whereas shared book reading predicted vocabulary development and reading motivation. Both emerging literacy and vocabulary predicted reading development. Familial risk for dyslexia was a significant moderator regarding several paths; vocabulary, reading fluency, and shared reading were stronger predictors of reading comprehension among children with familial risk for dyslexia, whereas reading motivation was a stronger predictor of reading comprehension among adolescents with no familial risk. The findings underline the importance of shared reading and suggest a long-standing impact of shared reading on reading development both directly and through oral language development and reading motivation. (c) 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/ licenses/by/4.0/)

Kindergarten pre-reading skills predict Grade 9 reading comprehension (PISA Reading) but fail to explain gender difference

One of the aims for compulsory education is to diminish or alleviate differences in children's skills existing prior to school entry. However, a growing gender gap in reading development has increasingly been documented. Regrettably, there is scant evidence on whether differences between genders (favouring girls) have their roots in pre-reading skills or whether determining mechanisms are related to factors to do with schooling. We examined the extent to which pre-reading skills assessed in Kindergarten (age 6) predict reading comprehension in Grade 9 (age 15) and, whether the gender difference in reading comprehension can be explained by gender differences in the Kindergarten pre-reading skills. A sample of 1010 Finnish children were assessed on letter knowledge, phonological awareness, rapid naming, vocabulary, and listening comprehension in Kindergarten and on reading comprehension using PISA Reading tasks in Grade 9. Path models showed that gender as well as Kindergarten pre-reading skills except for phonological awareness were significant predictors of reading comprehension in Grade 9 accounting for 28% of the variance. There were gender differences in most of the measures, but the prediction model estimates were similar for boys and girls except that for boys, letter knowledge was a somewhat stronger predictor of reading comprehension than for girls. The gender effect on reading comprehension was only partially mediated via pre-reading skills. The findings suggest that Kindergarten pre-reading skills are powerful predictors of reading comprehension in Grade 9, but the gender difference found in PISA Reading in Finland does not appear to be pronounced in Kindergarten but rather emerges during the school years

Early childhood pre-service teachers’ attitudes towards digital technologies and their relation to digital competence

This study examines early childhood pre-service teachers’ attitudes towards digital technologies and their relations to their self-perceived digital competence. Attitudes towards digital technologies were divided into core attitudes: general attitudes towards digital technologies; attitudes towards educational use of digital technologies; and perceived ease of digital technology use. Technological knowledge [TK] and technological content knowledge [TCK] dimensions of the TPACK framework were used to assess pre-service teachers’ self-perceived digital competence. Two structural equation models, a correlated-traits model and a second-order factor model, were used to analyse the relations between attitudes and digital competence. Based on the results, the early childhood pre-service teachers held positive attitudes towards digital technologies. Both models fit the data well, but the correlated-traits model explained a larger portion of variance in competence measures. Moreover, this model provided a more fine-grained picture of the associations between attitudes and competence. The general attitudes towards digital technologies and perceived ease of digital technology use were related to both TK and TCK, whereas attitudes towards educational use of digital technologies were not. Therefore, the correlated-traits model was viewed as better at describing the relations between attitudes towards digital technologies and digital competence. The study contributes to the development of teacher education. Instead of considering the current generation of pre-service teachers as a homogeneous group, this study aims to understand how they differ in their attitudes and how they perceive their own competence to use digital technologies.Peer reviewe

Laser-ultrasonic delivery of agents into articular cartilage

Peer reviewe

Localized delivery of compounds into articular cartilage by using high-intensity focused ultrasound

Localized delivery of drugs into an osteoarthritic cartilaginous lesion does not yet exist, which limits pharmaceutical management of osteoarthritis (OA). High-intensity focused ultrasound (HIFU) provides a means to actuate matter from a distance in a non-destructive way. In this study, we aimed to deliver methylene blue locally into bovine articular cartilage in vitro. HIFU-treated samples (n = 10) were immersed in a methylene blue (MB) solution during sonication (f = 2.16 MHz, peak-positivepressure = 3.5 MPa, mechanical index = 1.8, pulse repetition frequency = 3.0 kHz, cycles per burst: 50, duty cycle: 7%). Adjacent control 1 tissue (n = 10) was first pre-treated with HIFU followed by immersion into MB; adjacent control 2 tissue (n = 10) was immersed in MB without ultrasound exposure. The MB content was higher (p 0.05). To conclude, HIFU delivers molecules into articular cartilage without major short-term concerns about safety. The method is a candidate for a future approach for managing OA.Peer reviewe

Prediction of individual genetic risk to prostate cancer using a polygenic score

BACKGROUND Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction. METHODS We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be included. The final model was evaluated in an independent study population including 1,370 cases and 1,239 controls. RESULTS The polygenic risk score with 65 established susceptibility variants provided an area under the curve (AUC) of 0.67. Adding an additional 68 novel variants significantly increased the AUC to 0.68 (P-=-0.0012) and the net reclassification index with 0.21 (P-=-8.5E-08). All novel variants were located in genomic regions established as associated with prostate cancer risk. CONCLUSIONS Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction

Fast and efficient QTL mapper for thousands of molecular phenotypes

In order to discover quantitative trait loci, multi-dimensional genomic datasets combining DNA-seq and ChiP-/RNA-seq require methods that rapidly correlate tens of thousands of molecular phenotypes with millions of genetic variants while appropriately controlling for multiple testing