For meta-analysis of studies that report outcomes as binomial proportions, the most popular measure of effect is the odds ratio (OR), usually analyzed as log(OR). Many meta-analyses use the risk ratio (RR) and its logarithm because of its simpler interpretation. Although log(OR) and log(RR) are both unbounded, use of log(RR) must ensure that…

We select three word segmentation models with psycholinguistic foundations -- transitional probabilities, the diphone-based segmenter, and PUDDLE -- which track phoneme co-occurrence and positional frequencies in input strings, and in the case of PUDDLE build lexical and diphone inventories. The models are evaluated on caregiver utterances in 132…

Purpose: The purpose of this integrative literature review was three-fold: to explore the phenomenon of women's career interruptions as revealed by publications in the past two decades, to propose a new career decision tree model (CDTM) and to outline an agenda for future research. Design/methodology/approach: The authors adopted the integrative…

The subject of this article consistently develops the authorship of own lives in people with disabilities concept. With reference to the strategic framework (contextualism and systemness in particular), it constructs an AOL-PwD model. The model presents identity as a constitutive area in understanding the authorship of their own lives in people…

This paper explores use of a set of diagrammatic tools for representation and analysis of the moves a teacher makes implementing a mathematical modelling task. The focus here is on identifying what the teacher did so we can subsequently interrogate this, as to the why. Data include pre and post lesson teacher interviews and transcripts of a video…

Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

We propose a novel estimator for use in a fuzzy regression discontinuity setting. The estimator can be thought of as extrapolating the traditional fuzzy regression discontinuity estimate or as an observational study that adjusts for endogenous selection into treatment using information at the discontinuity. We show that it can be motivated as…

This article reports on a study investigating how computational essays can be used to help students in higher education STEM take up disciplinary epistemic agency--cognitive control and responsibility over one's own learning within the scientific disciplines. Computational essays are a genre of scientific writing that combine live, executable…

A qualitative empirical study of how higher education actors in Azerbaijan conceptualise excellence in teaching and how they promote it at different levels. The findings provide an original insight into how the concept of excellence is understood in the higher education of Azerbaijan. Intriguingly, there is no definition of teaching excellence nor…

The literature on innovation and regional economic development shows widespread references to 'systems' but relatively little application of systems thinking and problem structuring methods. Innovation models are thus under-theorised with operationally-based maps that link the structure of innovation systems to behaviour and possible policy…

Science education reform efforts have emphasized the incorporation of more authentic and meaningful scientific practices into formal learning environments. With this focus on practices, such as scientific modeling, a powerful tool for sense-making and reasoning, comes a need to observe and understand if and how it is actually occurring,…

Although a range of studies suggest that translation is a valuable pedagogical tool for language learning, the process of translation has not been adequately investigated. Further, the identity of the translator is invisible in much research on translation. To address these gaps in the field, the author draws on a self-study of her translation of…

According to expectancy-value models, two important motivational constructs are task value and self-efficacy expectations. As students work intensively on mathematical problems in the classroom, teachers need the competence to judge whether students value solving the problem and how confident they are that they will succeed. However, not much is…

Purpose: The purpose of this paper is the presentation of a learning model for a manager and employee working collaboratively to make advances in knowledge, skills, work performance and in the quality of their relationship. The model is called reciprocal action learning. Design/methodology/approach: The approach was to examine concepts and…

Use of modeling as a learning strategy in introductory science courses could serve to support the persistence of all students, including those who identify with a traditionally underrepresented ethnic minority (URM). If students find inherent value in working on modeling-type problems then this authentic practice would aid in transforming personal…