Neena’s Top Reading Research Picks for April - MetaMetrics Inc.
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Reading Research Recap

Neena’s Top Reading Research Picks for April

Neena's Top Reading Research Picks

Welcome to the Reading Research Recap!

I am Dr. Neena Saha, Research Advisor at MetaMetrics. My focus is bridging the research-practice gap so that you can access useful resources that support reading success, expand awareness of the latest reading research, and inform your teaching and learning strategies. This monthly compendium offers the most relevant and must-read research impacting the reading and learning landscape, including easy-to-view digestible highlights. We want the data and findings to be as useful to you as possible, so please do connect with me with any ideas and comments for next month. Enjoy the latest Reading Research Recap!


📚 Deep Dive: How do you combine science of learning with science of reading?

Hi everyone!

There’s been a lot of talk lately about the science of learning within the science of reading circles. Indeed, there has been a lot more talk around things like working memory and cognitive load theory and how this relates to reading instruction. That is why I chose this new review-style paper, Understanding the relations between cognition and academic skills in the context of instruction

This paper had so much great information, and here were my key takeaways:
1. Cognitive skills and academic skills interact and mutually support each other throughout development:

“…the relationship between cognition and academic skills is not as static or one-directional as previously suggested. Rather, cognitive and academic skills exhibit mutualism, interaction and mutually supporting each other during Development.”

2. Peng et al. found that a “more is better” approach for teaching foundational knowledge skills (phonological awareness, phonics, fluency, vocabulary), whereas for strategy-based skills (comprehension strategy), an “optimal combination” approach is better. (See this paper on the optimal combination of strategies to use). 

“Multi-component explicit instruction for at-risk readers, conducted within constrained timeframes, should carefully consider the interplay between cognitive load and the nature of instructional materials. For knowledge-based instruction, following a ‘the more the better’ principle may be effective, whereas strategy-based instruction could benefit from an ‘optimal combination approach’, emphasizing only certain combinations of components can yield maximum effects.”

Cognitive Load Theory can explain these results because knowledge-based skills, with practice, are converted to long-term memory (think how once you learn how to pronounce a word or the meaning of the word, you can recall it quickly), and therefore don’t use up working memory capacity. The same is not as true for reading comprehension – where you might be constantly encountering new information, not in long-term memory, and therefore your working memory capacity might be at max or burned out. In this latter situation, it might be best to teach students the “optimal combination” of strategies to use at a given time. 

3. Domain-specific working memory training is better than domain-general cognitive training. Domain-specific working memory instruction means embedding working memory capacity training within reading instruction. An example of this would be to have a student read a multi-paragraph text, and after each paragraph, they summarize the main idea. Then, after reading all the paragraphs, they recall each paragraph’s main idea and summarize this into a coherent summary for the whole piece. You can adjust the length and difficulty of the text based on their ability. 

Okay, those are three of the main points from this review piece, but if you’re interested, I highly recommend emailing the author to read the full paper!


Additional Research of Interest

Teacher Professional Development, Training, Education Policy

Word Recognition, Decoding, Morphology, Foundational Skills, Etc.

Fluency

Comprehension


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