Creative problem-solving skills are essential for navigating complex, non-routine challenges, enabling individuals to create unique goals, execute innovative procedures and generate original outcomes. While the link between metacognitive skills and the creativity of outcomes was established only recently, further exploration is required to…

Research has consistently demonstrated that learners are strikingly poor at metacognitively monitoring their learning and comprehension of texts. The aim of the present meta-analysis is to explore three important questions about metacomprehension: (a) To what extent can people accurately discriminate well-learned texts from less well learned ones?…

Teachers' ability to accurately judge difficulties of mathematical tasks is an essential aspect of their diagnostic competencies. Although research has suggested that pedagogical content knowledge (PCK) is positively correlated with the accuracy of diagnostic judgments, experimental studies have not been conducted to investigate how PCK affects…

People frequently encounter numeric information in medical and health contexts. In this paper, we investigated the math factors that are associated with decision-making accuracy in health and non-health contexts. This is an important endeavor given that there is relatively little cross-talk between math cognition researchers and those studying…

Purpose: The Language Environment Analysis (LENA) system provides automated measures facilitating clinical and nonclinical research and interventions on language development, but there are only a few, scattered independent reports of these measures' validity. The objectives of the current systematic review were to (a) discover studies comparing…

The creation and analysis of models is integral to all scientific disciplines, and modeling is considered a core competency in undergraduate biology education. There remains a gap in understanding how modeling activities may support changes in students' neural representations. The aim of this study was to evaluate the effects of simulating a model…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

Purpose: This study investigated the effects of enhanced milieu teaching (EMT) on caregiver implementation of language support strategies and child communication skills using a hybrid telepractice service delivery model. Method: Four caregivers and children with language delays aged 18-27 months participated in a multiple baseline across behaviors…

The present study aimed to examine the role of phonological--semantic flexibility (PSF) in learning to read Chinese. PSF refers to a specific flexibility applied to process the dual linguistic dimensions of words (i.e., sound and meaning). A correlational study (Study 1) was conducted to determine the unique contribution of PSF to three aspects of…

This study investigated in a longitudinal design how 74 Dutch children with dyslexia and 39 typically developing peers differed in sequential versus spatial implicit learning and overnight consolidation, and it examined whether implicit learning related to (pseudo)word reading development in Grades 5 and 6. The results showed that sequential, but…

The purpose of this study was to evaluate the reliability, validity, and accuracy of scores from the Intervention Selection Profile--Function (ISP-Function): a brief functional assessment tool founded upon Direct Behavior Rating (DBR) methodology. Participants included 34 teacher-student dyads. Using the ISP-Function, teachers rated the extent to…

The purpose this study was to evaluate the reliability, validity, and accuracy of scores from the "Intervention Selection Profile--Function (ISP-Function)": a brief functional assessment tool founded upon Direct Behavior Rating (DBR) methodology. Participants included 34 teacher-student dyads. Using the ISP-Function, teachers rated the…

Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…

Analysis of second language (L2) learners' language development can allow valid and reliable assessment of the learners' L2 linguistic knowledge, which can enable the teachers and researchers to choose appropriate teaching or experimental materials (Bardovi-Harlig & Bofman, 1989; Wolfe-Quintero et al., 1997). However, most language development…

This study investigates the relationship between measures of user activity within a Learning Management System (LMS) and student performance during a series of Virtual Field Experience (VFE) online learning modules. Implemented in a graduate-level course on teaching methods for learners with mild/moderate disabilities, each VFE activity was…