There is growing interest recently in the outdoor environment surrounding schools where students spent time during breaks, in-school activities, and after-school programs. Several reviews have examined the impact of long-term exposures to nearby nature on students' academic achievement, but none has focused on the effects of short-term contacts…

The assumption that honors programs are more academically challenging is rarely interrogated. Using multi-institutional, longitudinal quantitative data from a larger study, we use quasi-experimental methods to examine students' experiences of course rigor, including workload and cognitive challenge, for honors participants compared to…

In the current study, we used a sequential explanatory design to examine secondary writing instruction for deaf students in various school settings. An examination of secondary writing instruction was carried out in two cycles using a survey and subsequent focus group discussions. The first cycle (n = 222) presented an overview of secondary…

In the current study, we used a sequential explanatory design to examine secondary writing instruction for deaf students in various school settings. An examination of secondary writing instruction was carried out in two cycles using a survey and subsequent focus group discussions. The first cycle (n = 222) presented an overview of secondary…

Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…

Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…

The time students spend in a learning management system (LMS) is an important measurement in learning analytics (LA). One of the most common data sources is log files from LMS, which do not directly reveal the online time, the duration of which needs to be estimated. As this measurement has a great impact on the results of statistical models in…

Inspired by complex system theory, this study adopts a multilevel piecewise regression model to examine the relationship between homework time and the development of students in different grades using a large-scale testing database in China. The results indicate that the relationship between homework time and students' performance is positive when…

Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…

The computational model of school achievement represents a novel approach to theorizing school achievement, conceptualizing educational interventions as modifications to students' learning curves. By modeling the process and products of educational achievement simultaneously, this tool addresses several unresolved questions in educational…

Divergent thinking (DT) tests are sometimes used to select students for gifted programs. Studies on these tests, mostly conducted on non-gifted students, suggest that performance is influenced by the type of instruction given (standard vs. hybrid "be fluent AND original") and time-on-task. The current study aimed to examine the effect of…

The Data Must Speak (DMS) Positive Deviance research aims to improve the equity and quality of education through the use of data by studying the practices and behaviours of 'positive deviant' schools -- schools that outperform others despite operating in similar contexts and with equivalent resources. The analysis aims to inform practical…

Applying sociological conceptualisations of temporality in the context of families, this article explores shared reading between parents and young children. The research draws on interviews with a sample of 29 parents/carers with pre-school children (predominantly mothers) from diverse backgrounds. Reading with young children provides an…

Increasing evidence has shown that implicit learning shapes visuospatial attention, yet how such learning interacts with top-down, goal-driven attention remains unclear. This study investigated the relationship between task goals and selection history using a location probability learning (LPL) paradigm. We tested whether a top-down spatial cue…

Studies have indicated that pictures in test items can impact item-solving performance, information processing (e.g., time on task) and metacognition as well as test-taking affect and motivation. The present review aims to better organize the existing and somewhat scattered research on multimedia effects in testing and problem solving while…