Elisabeth Borleffs

In this article, we report on a study evaluating the effectiveness of a digital game-based learning (DGBL) tool for beginning readers of Dutch, employing active (math game) and passive (no game) control conditions. This classroom-level randomized controlled trial included 247 first graders from 16 classrooms in the Netherlands and the Dutch-speaking part of Belgium. The intervention consisted of 10 to 15 min of daily playing during school time for a period of up to 7 weeks. Our outcome measures included reading fluency, phonological skills, as well as purpose built in-game proficiency levels to measure written lexical decision and letter speech sound association. After an average of 28 playing sessions, the literacy game improved letter knowledge at a scale generalizable for all children in the classroom compared to the two control conditions. In addition to a small classroom wide benefit in terms of reading fluency, we furthermore discovered that children who scored high on phonological awareness prior to training were more fluent readers after extensive exposure to the reading game. This study is among the first to exploit game generated data for the evaluation of DGBL for literacy interventions.

Although our understanding of reading acquisition has grown, the study of dyslexia in Standard Indonesian (SI) is still in its infancy. A recently developed assessment battery for young readers of SI was used to test the feasibility of Pennington et al.’s (2012) multiple-case approach to dyslexia in the highly transparent orthography of SI. Reading, spelling, phonological skills, and nonverbal IQ were assessed in 285 first, second, and third graders. Deficits in reading-related cognitive skills were classified and regression analyses were conducted to test the fit of single and multiple deficit models. Naming speed (NS) was the main predictor of reading and decoding fluency, followed by phonological awareness (PA), and verbal working memory (VWM). Accounting for 33% of the cases that satisfied both methods of individual prediction (i.e., classification of deficits and regression analysis), the hybrid model proved the best fit. None of the deficits in PA, NS, or VWM alone was sufficient to predict a risk of dyslexia in the present sample, nor was a deficit in PA necessary. Hence, there are multiple pathways to being at risk of dyslexia in SI, some involving single deficits, some multiple deficits, and some without deficits in PA, NS, or VWM.

With its transparent orthography, Standard Indonesian is spoken by over 160 million inhabitants and is the primary language of instruction in education and the government in Indonesia. An assessment battery of reading and reading-related skills was developed as a starting point for the diagnosis of dyslexia in beginner learners. Founded on the International Dyslexia Association’s definition of dyslexia, the test battery comprises nine empirically motivated reading and reading-related tasks assessing word reading, pseudoword reading, arithmetic, rapid automatized naming, phoneme deletion, forward and backward digit span, verbal fluency, orthographic choice (spelling), and writing. The test was validated by computing the relationships between the outcomes on the reading-skills and reading-related measures by means of correlation and factor analyses. External variables, i.e., school grades and teacher ratings of the reading and learning abilities of individual students, were also utilized to provide evidence of its construct validity. Four variables were found to be significantly related with reading-skill measures: phonological awareness, rapid naming, spelling, and digit span. The current study on reading development in Standard Indonesian confirms findings from other languages with transparent orthographies and suggests a test battery including preliminary norm scores for screening and assessment of elementary school children learning to read Standard Indonesian.

This narrative review discusses quantitative indices measuring differences between alphabetic languages that are related to the process of word recognition. The specific orthography that a child is acquiring has been identified as a central element influencing reading acquisition and dyslexia. However, the development of reliable metrics to measure differences between language scripts hasn’t received much attention so far. This paper therefore reviews metrics proposed in the literature for quantifying orthographic transparency, syllabic complexity, and morphological complexity of alphabetic languages. The review included searches of Web of Science, PubMed, PsychInfo, Google Scholar, and various online sources. Search terms pertained to orthographic transparency, morphological complexity, and syllabic complexity in relation to reading acquisition, and dyslexia. Although the predictive value of these metrics is promising, more research is needed to validate the value of the metrics discussed and to understand the ‘developmental footprint’ of orthographic transparency, morphological complexity, and syllabic complexity in the lexical organization and processing strategies.