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The author reviews theory and research by Ehri and her colleagues to document how a scientific approach has been applied over the years to conduct controlled studies whose findings reveal how beginners learn to read words in and out of text. Words may be read by decoding letters into blended sounds or by predicting words from context, but the way that contributes most to reading and comprehending text is reading words automatically from memory by sight. The evidence shows that words are read from memory when graphemes are connected to phonemes. This bonds spellings of individual words to their pronunciations along with their meanings in memory. Readers must know grapheme–phoneme relations and have decoding skill to form connections, and must read words in text to associate spellings with meanings. Readers move through four developmental phases as they acquire knowledge about the alphabetic writing system and apply it to read and write words and build their sight vocabularies. Grapheme–phoneme knowledge and phonemic segmentation are key foundational skills that launch development followed subsequently by knowledge of syllabic and morphemic spelling–sound units. Findings show that when spellings attach to pronunciations and meanings in memory, they enhance memory for vocabulary words. This research underscores the importance of systematic phonics instruction that teaches students the knowledge and skills that are essential in acquiring word-reading skill.

This study examined how well second language (L2) recall and recognition vocabulary tests correlated with a reading test, how well each vocabulary test discriminated between reading proficiency levels, and how accurate each test was in predicting reading proficiency when compared with corpus studies. A total of 116 college-level learners of English as a foreign language took a reading test and 2 vocabulary size tests: meaning recall and meaning recognition. Participants were divided into 4 reading proficiency levels based on the reading scores. The authors correlated the reading scores with the 2 vocabulary scores, compared the 4 reading groups on each vocabulary test, and compared the vocabulary size of each of the reading proficiency groups with corpus studies. Both vocabulary tests were good predictors of reading, but the recognition test fared slightly better. The authors introduce the notion of 'comprehension vocabulary' and suggest that a recall test is more appropriate for measuring sight vocabulary while a recognition test is more appropriate for measuring comprehension vocabulary. (Verlag, adapt.).

The authors combined virtual reality technology and social robotics to develop a tutoring system that resembled a small-group arrangement. This tutoring system featured a virtual teacher instructing sight words, and included a humanoid robot emulating a peer. The authors used a multiple-probe design across word sets to evaluate the effects of the instructional package on the explicit acquisition and vicarious learning of sight words instructed to three children with autism spectrum disorder (ASD) and the robot peer. Results indicated that participants acquired, maintained, and generalized 100% of the words explicitly instructed to them, made fewer errors while learning the words common between them and the robot peer, and vicariously learned 94% of the words solely instructed to the robot.

Recent studies have shown that fluent reading of word lists requires additional skills beyond efficient recognition of individual words. This study examined the specific contribution of between-word processing (sequential processing efficiency, indexed by serial digit RAN) and subskills related to text-level processing (vocabulary and syntactic skills) to a wide range of reading fluency tasks, while accounting for within-word processes (i.e., those involved in phonological recoding, orthographic decoding, and sight word reading). The sample included 139 intermediate-level (Grade 3, n  = 78) and more advanced (Grade 5, n  = 61) readers of Dutch. Fluency measures included simple and complex lists of words and nonwords, and a complex text. Data were analyzed through hierarchical regressions and commonality analyses. The findings confirm the importance of between-word processing for fluent reading and extend evidence from simple word lists and texts to complex word lists and texts, and simple and complex lists of nonwords. The findings hold for both intermediate-level and more advanced readers and, as expected, the contribution of between-word processing increased with reading-skill level. Effects of vocabulary were generally absent, aside from a small effect on text reading fluency in Grade 3. No effects of syntactic skills were found, even in more advanced readers. The results support the idea that once efficient individual word recognition is in place, further fluency development is driven by more efficient between-word processing. The findings also confirm that vocabulary may be less prominent in processing mechanisms underlying fluent word identification in transparent orthographies, across reading levels.

Orthographic knowledge is the understanding of how spoken language is represented in print. However, the terms used to describe the two levels of orthographic knowledge, lexical and sublexical orthographic knowledge, have been variably defined and inconsistently measured, potentially contributing to discrepancies in research findings. Dissimilarities in how orthographic knowledge has been operationally defined and measured and the associated differences in tasks used to assess that construct are discussed. As part of that discussion, we relate how some measures assess either implicit or more explicit levels of orthographic knowledge. Using current theories and the existing research, we next provide an argument for how initial development of sublexical orthographic knowledge occurs before lexical orthographic knowledge. Suggestions are provided for what researchers might do in the future to help move the field toward a better understanding of orthographic knowledge. Strategies for assessing orthographic knowledge in literacy research are offered.

Recently, there has been growing concern about how to most effectively support the literacy development of beginning and struggling readers with regard to helping them learn to effortlessly identify the huge number of words that proficient readers ultimately learn to read with automaticity. Some, noting the critical importance of phonics instruction in learning to read in an alphabetic writing system, take the position that students should attend only to alphabetic information in word-solving attempts. However, long-standing theories of the development of word-reading skills support the value of teaching students to use both alphabetic and contextual information in word solving in interactive and confirmatory ways. The authors summarize 25 years of research in which beginning and struggling readers were taught to use both code- and meaning/context-based strategies for word solving and were provided with explicit, responsive instruction focused on the alphabetic code. The authors present brief summaries of theoretical explanations of the word-learning process. Then, the authors summarize six experimental studies that, together, included students in kindergarten through fourth grade and involved the implementation of the Interactive Strategies Approach in the primary grades and an extension of the approach with middle elementary students with reading difficulties. The studies resulted in substantially improved reading outcomes among treatment versus business-as-usual groups. The authors contend that using both phonicsand context-based information facilitates the ability to build sight vocabulary, which in turn enables readers to turn their attention to the most important goal of literacy learning: meaning construction.

Purpose: This review summarizes what is known about the structural and functional brain bases of dyslexia. Method: We review the current literature on structural and functional brain differences in dyslexia. This includes evidence about differences in gray matter anatomy, white matter connectivity, and functional activations in response to print and language. We also summarize findings concerning brain plasticity in response to interventions. Results: We highlight evidence relating brain function and structure to instructional issues such as diagnosis and prognosis. We also highlight evidence about brain differences in early childhood, before formal reading instruction in school, which supports the importance of early identification and intervention. Conclusion: Neuroimaging studies of dyslexia reveal how the disorder is related to differences in structure and function in multiple neural circuits.

Instructors assess the acquisition of new skills by delivering blocks of trials containing multiple operants. Mastery is evaluated as percentage correct across all operants in the block. The purpose of the current study was to investigate this traditional mastery criterion arrangement compared to an analysis of mastery at the level of individual operants. In both conditions, mastery criterion was 100% accuracy in one session. In the Set Analysis (SA) condition, accuracy was evaluated as average correct responding across all 4 target operants, or sight words, in a set. In the Operant Analysis (OA) condition, we taught 4 sight words simultaneously, assessed accuracy per sight word, and substituted new sight words into the set each time a single sight word was mastered. Overall, all 4 participants learned textual responses to sight words quicker in the OA condition, the reliability of maintenance was similar across conditions for 2 of 4 participants, and 4 of 4 participants maintained a higher or same number of responses from the OA condition compared to the SA condition. Implications for skill acquisition are discussed.

A portion of children with Autism Spectrum Disorder (ASD) exhibit a strength in early word reading referred to as hyperlexia (HPL), yet it remains unclear what mechanisms underlie this strength. Typically developing children (TD) acquire phonological awareness, alphabet knowledge and language skills as precursors to word reading. We compared these skills across English-speaking preschoolers with ASD, both with and without hyperlexia, and TD preschoolers. Findings indicated that the group with both ASD and HPL (ASD + HPL) exhibited advanced word reading and letter naming skills as compared to the other two groups, but did not demonstrate commensurate phonological awareness, letter-sound correspondence, or language skills. Findings support an alternative, non-phonological approach to early word reading in preschoolers with ASD and hyperlexia.

Despite the importance of literacy in today’s educational curriculum, learning to read is a challenge for many children with autism spectrum disorder (ASD). One of the foundational skills of early literacy learning is the ability to recognize sight words. This study used a single-subject, multiple-probe, across-participants design, to investigate the effects of a new software feature, dynamic text and speech output, on the acquisition of sight words by three pre-literate preschoolers with ASD during shared digital book reading experiences. All participants demonstrated successful acquisition of the target sight words with minimal exposure to the words. Limitations and future research directions are discussed, including the importance of investigating how the new software feature can be integrated into a more comprehensive literacy curriculum.