Proteins are "magical" workers inside our body, as they accomplish most of the cellular functions. Here we report on a novel approach to teach protein folding and unfolding, using magnets and flexible 3D-printed protein structures. To illustrate this physical process, we used colored circular magnets designed for whiteboards, connected…

Simple mathematical models can serve to reveal the essence of experimental phenomena and scientific concepts. The particle in a box (PIB), for example, is widely used in undergraduate programs to teach the quantum mechanical principles behind the UV--vis spectra of conjugated polyenes and polyynes. In this work, the particle on a ring (POR) and…

Developed by Brazilian Paulo Freire to teach economically disadvantaged adults to read, critical pedagogy has since inspired others to adapt the model to other subject areas. In the area of music education, Frank Abrahams created the Critical Pedagogy for Music Education (CPME) model and has written about the use of CPME in teacher preparation…

The debate on campus regarding speech and inclusion has largely come to be framed as a two-sided issue: one side for free, open expression, clashing with the other side for diverse inclusion. All sides of the debate -- the proponents of free expression, most inclusionists, and those who seek the co-existence of the two values -- invoke the notion…

External mentorship facilitated through professional organizations can help meet faculty mentoring needs. This report compares and contrasts the program design, implementation, and initial outcomes of two distinct mentorship programs developed in a professional academic pharmacy organization. The Pharmacy Practice Section program matched 39…

The Singapore education system provides all schools with opportunities to innovate through educational interventions. Based on a review of research work in innovation diffusion in Singapore schools from 2013 to 2017, we have developed the SCAEL model- a context-sensitive translational and scaling framework that can translate theories to practices…

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…

We make a case for including difference equations, in particular the discrete logistic equation, in basic differential equations courses. Contrasting the behavior of discrete and continuous models enriches students' understanding of both modeling and differential equations. To facilitate sharing discrete population models with students, some…

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…