Adventures in Flipping College Algebra

Abstract

This paper outlines the experience of a university professor who implemented flipped learning in two sections of college algebra courses for two semesters. It details how the courses were flipped, what technology was used, advantages, challenges, and results. It explains what students do outside of class, what they do inside class, and discusses what students thought of the course based on surveys and course evaluations. It also compares results on a similar final exam to those of a control group.     

Phonological Processing and Word Reading in Typically Developing and Reading Disabled Children: Severity Matters

In this study word reading (WR) fluency was used to dichotomously classify 1,598 Dutch children at different cutoffs, indicating (very) poor or (very) good reading performance. Analysis of variance and receiver operating characteristics were used to investigate the effects of rapid automatized naming (RAN) and phonemic awareness (PA) in predicting group membership. The highest predictive values were found for the combination of RAN and PA, particularly for the poorest readers. Furthermore, results indicate that with the severity of impairment, WR is more dominated by deficient PA, which is interpreted as an enduring problem with sublexical processing. Another main result is that with the increase of reading skill, the contribution of PA diminishes, whereas the contribution of RAN remains fairly constant for the whole reading fluency continuum. These results warrant the conclusion that whereas PA hallmarks reading disability, RAN appears to be the default predictor for above-average or excellent reading proficiency.     

Developmental Changes in the Relations Between RAN,Phonological Awareness,and Reading in Spanish Children

We examined the developmental relations of phonological awareness (PA) and rapid automatized naming (RAN) with reading in a cross-sectional study with 874 Spanish children from Grades 2 to 6. Our main prediction was that the RAN–reading relationship would decrease due to a gradual change in reading strategy, from serial decoding to sight word reading. Therefore, in contrast to most previous studies, we used discrete reading tasks. Serial RAN tasks for objects, colors, digits, and letters were included. First, we examined whether the RAN tasks loaded on the same constructs across time. An alphanumeric and a nonalphanumeric factor were identified, which were invariant over time. In subsequent multigroup structural equation models we found that the PA–reading relationship was low but slightly increased in the higher grades. As predicted, the RAN–reading relationship decreased for words, whereas the relationship remained stable for pseudowords.     

A love towards a thing eternal: Spinoza and the classroom

There is a growing concern about the struggles of early career teachers and an understandable questioning of the preparation being offered by teacher education courses. Are our preservice teachers being given workable strategies and techniques to allow them to survive the early years? Is it strategies and techniques that are primarily at issue here? Could it be that there is something more fundamental, to do with an underlying philosophical understanding about human nature, the desire to learn and the need to relate? I want to suggest that instruction about strategies and techniques is too often built on an insecure and incompatible foundation of assumptions about the nature of the world of sentient beings and their relationships. Ontology matters. Philosopher Spinoza divided the world of thought into ideas that were adequate – contributing to our well-being, potency and happiness – and those that were inadequate – leading us to feel weak, at the mercy of outside forces, and sad. I want to argue, with Spinoza, that inadequate ontologies lead to a sense of impotence and frustration, and that adequate ideas – a stronger ontology – can underpin and sustain a more durable pedagogy. I explore this idea by looking at some classroom events through a Spinozean lens.     

Reconceptualizing student ratings of teaching to support quality discourse on student learning: a systems perspective

Higher Education - This paper summarizes the discourse on student ratings of teaching in higher education. It reconceptualizes student ratings within a larger process of promoting quality in...     

Exploring explanations for the gender gap in study abroad: a case study of the Netherlands

Higher Education - The overrepresentation of female students in study abroad programmes across the Western world represents one of the major gaps in scientific research on study abroad. In this...     

How is “Knowledge” Constructed During Science Activities? Detaching Instructional Effects of “Playing” and “Telling” to Optimize Integration of Scientific Investigations

Research in Science Education - Despite recommendations from science educational standards which claim that science teaching should engage students in scientific investigations the same way...     

Digital body preservation: Technique and applications

High-fidelity anatomical models can be produced with three-dimensional (3D) scanning techniques and as such be digitally preserved, archived, and subsequently rendered through various media. Here, a novel methodology—digital body preservation—is presented for combining and matching scan geometry with radiographic imaging. The technique encompasses joining layers of 3D surface scans in an anatomical correct spatial relationship. To do so, a computed tomography (CT) volume is used as template to join and merge different surface scan geometries by means of nonrigid registration into a single environment. In addition, the use and applicability of the generated 3D models in digital learning modalities is presented. Finally, as computational expense is usually the main bottleneck in extended 3D applications, the influence of mesh simplification in combination with texture mapping on the quality of 3D models was investigated. The physical fidelity of the simplified meshes was evaluated in relation to their resolution and with respect to key anatomical features. Large- and medium-scale features were well preserved despite extensive 3D mesh simplification. Subtle fine-scale features, particular in curved areas demonstrated the major limitation to extensive mesh size reduction. Depending on the local topography, workable mesh sizes ranging from 10% to 3% of the original size could be obtained, making them usable in various learning applications and environments.     

Automatic thematic classification of election manifestos

We digitized three years of Dutch election manifestos annotated by the Dutch political scientist Isaac Lipschits. We used these data to train a classifier that can automatically label new, unseen election manifestos with themes. Having the manifestos in a uniform XML format with all paragraphs annotated with their themes has advantages for both electronic publishing of the data and diachronic comparative data analysis. The data that we created will be disclosed to the public through a search interface. This means that it will be possible to query the data and filter them on themes and parties. We optimized the Lipschits classifier on the task of classifying election manifestos using models trained on earlier years. We built a classifier that is suited for classifying election manifestos from 2002 onwards using the data from the 1980s and 1990s. We evaluated the results by having a domain expert manually assess a sample of the classified data. We found that our automatic classifier obtains the same precision as a human classifier on unseen data. Its recall could be improved by extending the set of themes with newly emerged themes. Thus when using old political texts to classify new texts, work is needed to link and expand the set of themes to newer topics.     

Co-ownership of intellectual property: Exploring the value-appropriation and value-creation implications of co-patenting with different partners

Combining both interview data and empirical analyses at the patent and firm levels, we explore the value-appropriation and value-creation implications of R&D collaboration resulting in the co-ownership of intellectual property (i.e. co-patents). We make an explicit distinction between three different types of co-patenting partners: intra-industry partners, inter-industry partners, and universities. Our findings indicate that the value-appropriation challenges of IP sharing are clearly evident with intra-industry co-patenting, where partners are more likely to encounter overlapping exploitation domains. Co-patenting with universities is associated with higher market value, since appropriation challenges are unlikely to play a role and collaboration may signal novel technological opportunities. Although we find some evidence that co-patenting corresponds to higher (patent) value, patents co-owned with firms are significantly less likely to receive self-citations, indicating constraints on the future exploitation and development of co-owned technologies.