What makes a word easy to learn? Early-learned words are frequent and tend to name concrete referents. But words typically do not occur in isolation. Some words are predictable from their contexts; others are less so. Here, we investigate whether predictability relates to when children start producing different words (age of acquisition; AoA). We…

There are several conceptualizations of modeling competencies, including among others on the one hand so-called sub-competencies, which are required to progress from one step of a modeling process to the next, and metacognitive individual and group strategies. However, the relationship between metacognitive strategies and modeling sub-competencies…

Modeling, responding, and instructing have all been investigated as ways in which adults promote children's emotional competence, but they have largely been investigated separately. To facilitate the development of effective professional development models which promote teachers' engagement in emotion-focused teaching, it is important to…

In this paper we develop a model for the capabilities required by principals for effective Science, Technology, Engineering and Mathematics (STEM) leadership. The model underpinned a large national cross-sectional research and development project across Australian states in both primary and secondary schools. This model is developed via synthesis…

Constructionism imagineering learning model via metaverse is an instrument for promoting self-learning through hands-on. To create new knowledge for young innovators by combining the concepts of technology and new learning platforms to create new ideas. Designing teaching and learning that can be used to learn in the new normal focuses on…

Although generalizability theory (GT) designs have traditionally been analyzed within an ANOVA framework, identical results can be obtained with structural equation models (SEMs) but extended to represent multiple sources of both systematic and measurement error variance, include estimation methods less likely to produce negative variance…

The traditional educational paradigm has become outdated as a result of changes in both the cultural and socioeconomic setting. A more sustainable and acceptable teacher is needed in education. A quantitative study was conducted. 95 administrators and teachers at the University of Technology and Education participated in this study with the aim of…

The development of each student's awareness serves as the governing principle for high school vocational education programs. This awareness then becomes the driving force behind the progression of the educational process. Career education activities for students are the relationships between the objectives, contents, methods and forms of…

Second language (L2) listening comprehension is a function of many variables. We focused on metacognitive awareness, which we measured using the Metacognitive Awareness Listening Questionnaire (MALQ; Vandergrift et al., 2006), and meta-analyzed (a) the factor structure of the MALQ and (b) the relationship between metacognitive awareness and L2…

An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results…

This case study examines three nonprofit leaders' (Shariq Siddiqui, Roohi Younus and Dilnaz Waraich) attempt to bring together Muslim nonprofit leaders and help them build meaningful collaborations. They kickstarted the Community Collaboration Initiative (CCI), an initiative that uses third-party facilitation to build collaboration among Muslim…

An intraverbal assessment was administered to older adults with aphasia, using a hierarchy of questions that required increasingly complex verbal discriminative stimulus control. Five categories of errors were defined and analyzed for putative stimulus control, with the aim to identify requisite assessment components leading to more efficient and…

The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…

This study examined the influence of teachers' emotional intelligence (EI) on academic achievement and outlined the model with the mediating effect of job satisfaction (JS) between the EI and academic achievement. Survey method was employed to collect the information from 728 secondary school teachers belong to Himachal Pradesh, a state of…

Purpose: This study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model. Design/methodology/approach: A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup…