Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n 5 157) use of selfregulated learning (SRL) within the online components of a previously unexamined BL discipline, Music Teacher Education. SRL behaviors were captured unobtrusively in real time through students' interaction with course materials in Moodle. Categorized by function: (1) activating-online access location, day-of-the-week, time-of-day; (2) sustaining-online frequency; and (3) structuring-online regularity and exam review patterns, all six SRL behaviors were revealed to have weak to moderate significant relationships with academic achievement. Results indicated access day-of-the-week and access frequency as the strongest predictors for student success. Findings regarding access regularity when viewed through results from previous SRL-LA research may suggest the importance of this SRL behavior for successful students within several BL discipline areas. In addition, the role of learning design (eg, flipped instruction) in potentially scaffolding students' choices toward specific SRL behaviors, was revealed as an important context for future researchers' consideration.

According to Gough and Tunmer's Simple View of Reading, Reading Comprehension = Decoding (D) x Listening Comprehension (C). The purpose of this study was to evaluate the model with a sample of First Nations children, known to have average decoding and listening comprehension but poor reading comprehension. In addition, the authors examined the contribution of naming speed and phonological awareness to reading comprehension beyond the effects of D and C. Consistent with the findings of previous studies, the children exhibited poor reading comprehension despite average performance in decoding and listening comprehension, a finding that challenges the simple view of reading. The results also revealed that an additive model (D + C) fitted the data equally well as a product model (D x C). Neither naming speed nor phonological awareness accounted for unique variance.

The purpose of this study was to compare the contribution of two different versions of working memory to word reading and reading comprehension in relation to phonological awareness and rapid naming speed. Fifty children were administered two measures of working memory, namely an adaptation of the Daneman and Carpenter sentence span task and Sentence Question, tests of phonological awareness, rapid naming speed, word reading and reading comprehension. The results indicated that Sentence Question accounted for unique variance over and beyond the effects of Daneman and Carpenter's sentence span task, whereas the latter did not when the effects of Sentence Question were partialled out. In addition, both phonological awareness and rapid naming were accounting for unique variance beyond the effects of working memory in predicting reading. The role of working memory on reading is discussed, and future directions for research are suggested.There is little disagreement that phonological processing, defined as the use of the sound structure of oral language in processing written and oral information, is of paramount importance for reading acquisition (e.g. Bryant,

The purpose of this ongoing, three-year action research study is to explore the digital challenges of student engagement in higher education within the experimental platform of blended learning. Research questions examine the role of digital innovation in supporting diverse learners, as well as building meaningful connections with technology for undergraduate teacher education students. Results from qualitative data collected through instructor journals and field notes and student mid-term and exit surveys during year one, indicate blended learning can be effective for modelling how to use technology to shift learners towards more active agency. The immediacy of the localised university classroom delivered a viable research setting for digital experimentation, while providing a significant lived experience for undergraduates to springboard their future technological practices with K-12 students. Four pedagogical opportunities for digital intentionality in virtual spaces emerged during data analysis and are shared as considerations for future innovation: (1) designing digital resources, (2) scaffolding student learning, (3) learner customisation, and (4) promoting the lived experience. Lessons learned could be effective in helping develop higher quality educational experiences for on-campus students, as well as scaffolding greater engagement in online formats involving more global populations (e.g., massive online open coursesMOOCs).

These results suggest that the FM measure is a useful tool for identifying whether a child has a problem with introducing referents in stories.