Jul 11 ====== Paradis:2011 ------------ This is an interesting analysis and a nice/intuitive model to interpret how different proposed predictors affect L2 learning outcomes. However we can see although the models are significant their R^2 scores do not demonstrate a strong effect (eg. the highest R^2 of any of the models was .521). The interpretation of the R^2 score is context and model dependent and should not be the sole judge of model fit, so this could be up for discussion and would require a more in-depth analysis of the methods and results in this paper. One expectation for an improved R^2 score would be including a predictor of English exposure from school: this was not included in the models but likely heavily affects and has most of the explanatory power for successful English-as-L2 learning (we can see examples of this in countries like India and Nepal where some schools use English as the primary classroom medium, although English is rarely used outside of school, yet the children learn to speak/read/write English at native-like level). I can see why the authors did not include this factor in their analysis: every participant should have the same levels of 100% English exposure/high levels of English richness in school. Thus, they all have the same baseline English exposure from school, so it’s more interesting to look at predictors which can vary between the participants. But I wonder how much the English-at-school predictor would dominate the overall analysis if included... I was wondering about the design of the Comprehensive Test of Phonological Processing, for example which rules the non-words are created by and sorted, which phonemes are used. Also: Is there a correlation between L1 (i.e. similarity on English) and performance on this CTOPP test? Why doesn't Paradis et al. take into account of the impact of mutually intelligible languages in case of L2 acquisition? I believe this is also a Child-external factor. The experiment conducted by Paradis focuses on the L2 acquisition of children learning English. In my opinion, it would be interesting to execute follow-up studies on other languages to verify that the presented findings are universally applicable and not specific to certain linguistic features of English. How was language aptitude measured in this study? According to the population this research worked on (169 children between the ages of 4;10, 3 to 62 months of exposure to English, came from newcomer (immigrant and refugee) families residing in Edmonton and Toronto, Canada), can we generalize its findings? Which variables are more dependent on the sample they selected? A more general question: What if the child does not get any input at home from the parent but is just exposed to external factors (e.g.input only in kindergarten or youtube videos from a very young age etc.) Could that affect the level of aquisition and could we consider that a kind of bilingualism? The study highlights the significance of child-internal factors over child-external factors in predicting the rate of English L2 acquisition in children. However, the role of environmental factors, like the richness of the English environment, still showed notable impact. Considering this balance, how might interventions be designed to enhance English L2 acquisition outcomes by effectively integrating both high-quality language input and strategies to strengthen child-internal cognitive skills? Are there existing educational frameworks or programs that successfully incorporate such a balanced approach, and what evidence supports their efficacy?